DEV Community: GuGuData

咕咕监控近期升级：从网站在线检测，到 SEO 监控与开放 API

GuGuData — Fri, 10 Jul 2026 10:37:19 +0000

咕咕监控近期升级：从网站在线检测，到 SEO 监控与开放 API

网站打不开、接口返回异常、服务器失联、HTTPS 证书即将过期……对于独立开发者和中小团队来说，这些问题真正麻烦的地方，往往不是修复本身，而是发现得太晚。

用户已经在群里反馈，客户已经开始催问，流量和订单已经受到影响，维护人员才知道服务出了问题。随着业务从一个网站扩展到 API、管理后台、App、小程序和多台设备，靠人工逐个检查也会越来越不现实。

最近，咕咕监控完成了一轮覆盖 Web 管理后台、监控能力、SEO、开放 API、通知和多端体验的升级。现在，它不只帮助你确认“网站还在不在”，还可以把网站、API、设备、页面体验和异常处理放进同一套日常监控流程。

一个后台，统一查看网站、API 和设备

当监控对象只有一两个时，收到提醒后逐个查看并不困难。但当你同时维护多个官网、接口服务、工具站和服务器时，更需要一个能够快速判断整体情况的入口。

新的 Web 管理后台把站点、API 和设备集中在同一个首页。打开后台，就能看到三类监控的数量、当前状态、可用率、检测次数、异常次数和平均响应时间，不需要在不同系统之间来回切换。

时间范围可以切换为最近 24 小时、7 天或 30 天。响应时间趋势可以帮助判断服务是否持续变慢，异常分布则可以用来确认问题发生在哪个时间段。对于发布后的观察、活动期间值守和月度稳定性复盘，这些数据比单次“正常或异常”的结果更有参考价值。

后台还增加了独立的事故视图。异常、等待检测、证书风险和最近恢复的监控项会被优先汇总，打开页面后可以先处理最需要关注的问题，而不是在一长串正常项目中寻找异常项。

这次升级的目标很明确：无论你管理的是 3 个服务还是 30 个服务，都能尽快回答三个问题——现在是否正常、问题影响了什么、接下来应该查看哪里。

网站监控：从“能打开”到持续了解运行状态

网站监控仍然是咕咕监控最基础、也最常用的能力。

添加一个可以从互联网访问的网址后，云端节点会按照设置的频率持续检查网站是否可访问，并记录响应时间、最近检测结果和历史可用率。网站连续异常时，再通过已经配置的通知渠道提醒维护人员。

对于 HTTPS 网站，咕咕监控还会关注证书有效期。证书过期看似是一个很容易避免的问题，但当团队维护多个域名、子域名和历史项目时，确实可能被遗漏。提前收到证书风险提醒，可以避免用户在浏览器里看到安全警告后，团队才开始处理。

网站详情页现在会同时展示可用率、平均响应时间、异常次数、最后检测时间、当前响应和检测节点结果。相比只显示一个状态点，这些信息更适合判断服务是完全不可用、偶尔抖动，还是正在逐渐变慢。

多节点检测：区分服务故障和区域网络差异

单一节点失败，并不总是意味着服务已经对所有用户不可用。它也可能来自某个地区的运营商线路、DNS 解析或网络出口异常。

咕咕监控会分别展示杭州节点和美国节点最近一轮的检测状态、响应时间与 HTTP 状态码。当不同节点结果不一致时，维护人员可以更快判断这是不是区域性网络差异；当多个节点同时失败时，也能更有把握地确认服务确实存在问题。

多节点结果的价值不只是“多检测一次”，而是降低误报带来的焦虑。收到提醒后，不必立刻猜测是服务器、CDN 还是本地网络，可以先从不同地区的检测结果判断影响范围。

API 监控：接口能访问，还要返回正确结果

很多业务问题不会直接表现为网站打不开。

首页可能仍能正常加载，但登录接口已经报错；健康检查返回 200，但核心字段不符合预期；支付、订单或数据查询接口可以连接，却返回了错误内容。只监控网页入口，很难及时发现这些问题。

咕咕监控的 API 监控支持 GET、POST 等常用请求方式，并可以针对 HTTP 状态码和返回内容设置断言。监控结果会持续记录最近状态、响应时间和可用率，断言失败或接口不可用时触发提醒。

对于小团队，不需要一开始就监控所有接口。可以优先覆盖登录、下单、支付回调、订单查询、核心数据读取和对外提供给客户的 API，把真正影响业务的链路先保护起来。

设备监控：覆盖 IPv4、IPv6、服务器与网络设备

除了网站和 API，咕咕监控也可以通过 IP 或域名持续检测服务器、路由器、NAS 和其他可访问设备的基础连通性，并支持 IPv4 与 IPv6 地址。

设备监控与网站、API 监控承担的角色不同：设备可以连通，只能说明基础网络链路仍有响应，不代表上面的业务应用一定正常。因此，更合适的做法是把它们组合起来使用。

设备监控用于判断服务器或网络设备是否还能连接。
网站监控用于确认用户入口是否能够访问。
API 监控用于确认关键业务返回是否符合预期。

三层结果放在同一个后台后，排查问题时就能更快区分“机器失联”和“机器在线但业务异常”。

SEO 监控：把页面体验纳入日常巡检

服务能够访问，并不代表页面体验和搜索基础项始终健康。

一次前端改版、第三方脚本增加或资源加载策略变化，都可能让页面性能下降；某次模板调整也可能影响可访问性、最佳实践或 SEO 基础配置。这些问题通常不会像宕机一样立即触发大量反馈，但可能持续影响用户体验和搜索流量。

咕咕监控现在可以为已添加的网站开启 SEO 监控，并分别展示以下四项结果：

性能评分
可访问性评分
最佳实践评分
SEO 评分

报告还会整理本次检测发现的主要问题，例如 JavaScript 执行时间、缓存生命周期和页面恢复体验等，帮助团队确定后续优化的优先级。

为了提高报告的可用性，页面会区分国内实验室和海外实验室的检测结果。某个来源暂时不可用时会明确标记，而不是把缺失数据误显示为低分。

SEO 监控每 7 天自动检测一次，并支持每周邮件报告。用户也可以在后台手动发起检测。它不是用一个分数替代完整的 SEO 分析，而是帮助站长和小团队及时发现“上线后页面体验是否明显退化”这类问题。

开放 API：让监控进入自己的工作流

除了通过后台和移动端使用，咕咕监控现在也提供了对外开放的管理 API。

当前公开文档包含 7 个资源分组、33 个接口，覆盖站点监控、API 监控、设备监控、SEO 报告、通知、用户资源和公开状态页。开发者可以创建和维护监控项、读取检查结果、查询统计与通知记录，也可以把这些数据接入自己的内部平台或自动化脚本。

受保护接口统一通过 Bearer Token 鉴权。访问 Token 在管理后台生成，公开文档同时提供 OpenAPI JSON、生产环境地址和在线调试入口，方便团队使用现有开发工具完成集成。

开放 API 适合这些场景：

在内部管理系统中自动创建项目监控。
在发布完成后读取最新检测结果。
将可用率和异常记录同步到团队看板。
定期获取 SEO 报告并进入自己的运营流程。
结合通知和 Webhook 建立更适合团队的自动化处理方式。

API 文档地址：https://www.gugujiankong.com/swagger/

公开状态页：给用户一个稳定的信息出口

监控后台主要服务于维护人员，而公开状态页面向客户和最终用户。

当服务发生异常时，用户最担心的往往不是“系统永远不能出问题”，而是不知道发生了什么、有没有人在处理。为重要站点开启公开状态页后，可以把当前状态、历史可用率和近期事件通过一个公开链接分享出去，减少用户反复询问，也让团队对外沟通更加统一。

公开状态页和多节点检测结合后，还可以帮助用户理解某次异常是否具有区域差异。对于提供 SaaS、API 或在线工具的团队，这是一种成本很低但很实用的信任建设方式。

多通道通知：让正确的人及时收到消息

监控项建得再多，如果异常发生时没有人看到，监控仍然没有发挥作用。

咕咕监控目前支持 App、微信小程序、短信、语音电话、邮件和 Webhook 等通知方式。团队可以根据业务重要程度配置不同通道：普通页面使用 App 或小程序提醒，关键业务增加短信或语音电话，SEO 和趋势类报告使用邮件，团队协作与自动化场景则可以接入 Webhook。

通知的重点不是越多越好，而是让正确的人在正确的时间收到正确的信息。对独立开发者来说，它减少了反复检查；对小团队来说，它也能避免所有异常都依赖某一个人发现。

Web、iOS、Android 和微信小程序保持同步

咕咕监控已经形成 Web 管理后台、iOS、Android 和微信小程序组成的多端使用方式。

电脑端适合集中添加和维护监控项、查看趋势、处理配置与接入 API；移动端适合随时确认当前状态、查看最近结果和接收异常提醒。数据在不同入口之间保持同步，不必因为换了设备而重新建立一套监控。

对于不希望安装 App 的用户，微信小程序提供了更轻量的入口；需要在电脑上批量维护时，再进入 Web 管理后台。不同入口各自解决最适合的使用场景，而不是简单重复同一个页面。

哪些人适合使用咕咕监控

如果你正在维护以下业务，咕咕监控可以帮助你用更低的成本建立基础监控体系：

同时维护官网、博客、工具站和多个落地页的个人站长。
需要持续关注登录、支付、订单和数据接口的独立开发者。
没有专职运维，但需要管理多个线上服务的中小团队。
对外提供 API、SaaS 或在线工具，需要公开服务状态的团队。
需要监控服务器、路由器、NAS 或 IPv6 设备的维护人员。
希望把页面性能和 SEO 基础项纳入每周巡检的内容与增长团队。

不需要先搭建一套复杂的监控基础设施，也不需要在被监控服务器里安装客户端。可以先从最重要的网站和 API 开始，再逐步补充设备、证书、SEO、状态页和通知设置。

现在开始使用

咕咕监控这轮升级的核心，不是简单增加几个菜单，而是把“发现异常、判断范围、查看历史、通知人员和接入工作流”连成一套更完整的使用体验。

你可以先添加最重要的官网、登录页和核心接口，设置合适的检测频率与通知方式，然后根据业务需要逐步开启设备监控、SEO 周报、公开状态页和开放 API。

我们的目标一直很简单：在用户发现故障之前，先收到提醒。

咕咕监控官网：https://www.gugujiankong.com/
Web 管理后台：https://dashboard.gugujiankong.com/
开放 API 文档：https://www.gugujiankong.com/swagger/
iOS App：前往 App Store
Android App：下载最新版本
微信小程序：微信搜索「咕咕监控」，或扫描上方小程序码

Image OCR to Word API for Searchable Notes and Documents

GuGuData — Wed, 08 Jul 2026 04:24:53 +0000

Image OCR to Word API for Searchable Notes and Documents

Screenshots, scanned notes, receipts, forms, and image-based documents often contain text that needs human review. Plain OCR text is useful for indexing, but an editable Word document is often easier for business teams to revise, comment on, and hand off.

The GuGuData Image OCR to Word API runs OCR on an uploaded image file and generates a downloadable Word document containing the recognized text. It is useful for document intake, content cleanup, archive review, and SEO-supporting workflows where image text should become editable content.

This guide explains how to call the API and how to use it responsibly in content operations.

Why convert image OCR to Word?

Image OCR gives you recognized text. Word output gives you a working document that people can edit.

That distinction matters in workflows such as:

Converting screenshot notes into editable drafts.
Reviewing scanned forms or labels.
Preparing image-based source material for web publication.
Cleaning up old scanned content before migration.
Creating editable records from field photos.
Routing OCR output to non-technical reviewers.

For SEO teams, this is useful when source material exists only as images but needs to become searchable, accessible, and publishable content.

API overview

Item	Value
API name	Image OCR to Word API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/imagerecognition/ocr2word`
Detail page	https://gugudata.io/details/ocr2word
Demo page	https://gugudata.io/demo/ocr2word
Main use case	Generate a downloadable Word document from image OCR output

The endpoint uses multipart/form-data because the source is an uploaded image file.

Request parameters

Parameter	Type	Required	Default	Description
`appkey`	`string`	Yes	`YOUR_APPKEY`	Your GuGuData application key.
`imagefile`	`file`	Yes	None	Image file uploaded as multipart form data.
`filename`	`string`	No	`result.docx`	Optional output Word file name.

Example request:

curl -X POST "https://api.gugudata.io/v1/imagerecognition/ocr2word?appkey=YOUR_APPKEY" \
  -F "imagefile=@./scan.png" \
  -F "filename=scan-notes.docx"

Response fields

Field	Type	Description
`wordPath`	`string`	Download URL of the generated Word document.

Example response:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "wordPath": "https://cdn.gugudata.io/outputs/scan-notes.docx"
  }
}

SEO-supporting workflows

1. Convert image-only source material into editable drafts

Content teams often receive source material as screenshots or scans. Before that material can become an article, documentation page, or landing page section, someone needs an editable text draft.

Image OCR to Word can help:

Upload the image file.
Generate a Word document.
Send the file to an editor for cleanup.
Convert the approved content into HTML.
Publish accessible text on the target page.

This reduces manual retyping while keeping human review in the loop.

2. Turn screenshot research into reusable notes

SEO work often includes screenshots from search results, competitor pages, dashboards, and reports. A Word document can be easier to annotate than plain text.

Use this workflow when:

A researcher wants to comment on screenshot text.
A report needs editable extracted text.
A team needs to turn image evidence into a written brief.
A screenshot contains structured text that should be cleaned manually.

For purely searchable storage, use OCR API. For human editing, use Image OCR to Word API.

3. Support accessibility cleanup

If important website information exists only in an image, OCR to Word can create an editable draft for conversion into accessible HTML text. This supports both users and SEO because important content becomes easier to read, search, and maintain.

Examples:

Event schedules embedded as images.
Product comparison tables saved as screenshots.
Menu images.
Scanned instructions.
Promotional banners with dense text.

The OCR Word file should be treated as a draft source, then rewritten and structured for the web.

4. Build a review queue for uploaded images

In a product workflow, users may upload images that contain text. Generate a Word document only for images selected for editing. Store the returned wordPath with the original image and review status.

Useful status fields:

Uploaded
OCR completed
Word generated
Needs review
Approved
Published
Archived

This keeps document operations traceable.

Implementation notes

Validate image type before upload.
Keep file upload and appkey handling on your backend.
Use filename to provide human-readable document names.
Store wordPath with the original image record.
Treat OCR output as a draft. Review important content before publishing.
Add retry handling for temporary failures.
Use a queue for batch image processing.
Keep original images when visual evidence matters.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Word document generated.	Store `wordPath` and connect it to the source image record.
`400`	Missing or invalid image file.	Validate upload field name, file type, and file size.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	OCR service unavailable.	Retry later and keep the conversion job recoverable.

FAQ

How is this different from OCR API?

OCR API returns recognized text as data. Image OCR to Word API returns a downloadable Word document for editing and review.

Is this for public SEO pages?

It supports the content workflow. The final public SEO content should usually be published as accessible HTML, not only as a Word file.

Can I choose the output file name?

Yes. Use the optional filename parameter to specify the generated .docx file name.

Should I automatically publish OCR output?

No. OCR output should be reviewed before publication, especially when the source image is low quality or the content is business-critical.

Related GuGuData APIs

OCR API: extract recognized text from uploaded image files.
PDF OCR to Text API: extract page-level and combined recognized text from PDFs.
PDF OCR to Word API: generate editable Word documents from PDF OCR output.
HTML to Word: convert HTML content into a Word document.
Convert Word to HTML: turn Word documents into web-friendly HTML.

For more OCR, document, and SEO-supporting APIs, visit GuGuData.

PDF OCR to Word API for Editable SEO Archives

GuGuData — Wed, 08 Jul 2026 04:24:01 +0000

PDF OCR to Word API for Editable SEO Archives

Many SEO and content teams inherit old PDF libraries. Some files are scanned, some were exported years ago, and some contain important product, policy, or research information that should be updated or moved into modern content systems. Extracting plain text is useful, but teams often need an editable document that can be reviewed by writers, legal teams, or operations staff.

The GuGuData PDF OCR to Word API runs OCR on an uploaded PDF document and generates a downloadable Word document containing the recognized text. It is useful for editable archives, content migration, document review, and workflows where non-technical users need a familiar .docx output.

This guide explains how to use the API and how it fits into SEO document operations.

Why convert OCR output to Word?

Plain text is best for indexing and automation. Word documents are better for review, editing, comments, and handoff.

PDF OCR to Word is useful when:

A content team needs to update scanned PDF content.
A legal or compliance team needs an editable review copy.
Old marketing PDFs need to be migrated into web pages.
A support team needs to turn scanned instructions into editable docs.
A knowledge management team needs a working document before publishing.

For SEO, this workflow helps teams move valuable content out of static PDFs and into accessible web pages, landing pages, documentation, or structured internal content.

API overview

Item	Value
API name	PDF OCR to Word API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/imagerecognition/pdf2word`
Detail page	https://gugudata.io/details/pdf2word
Demo page	https://gugudata.io/demo/pdf2word
Main use case	Generate a downloadable Word document from PDF OCR output

The API uses multipart/form-data because the source is an uploaded PDF file.

Request parameters

Parameter	Type	Required	Default	Description
`appkey`	`string`	Yes	`YOUR_APPKEY`	Your GuGuData application key.
`file`	`file`	Yes	None	PDF file uploaded as multipart form data.
`filename`	`string`	No	`result.docx`	Optional output Word file name.

Example request:

curl -X POST "https://api.gugudata.io/v1/imagerecognition/pdf2word?appkey=YOUR_APPKEY" \
  -F "file=@./scanned-report.pdf" \
  -F "filename=converted-report.docx"

Response fields

Field	Type	Description
`wordPath`	`string`	Download URL of the generated Word document.

Example response:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "wordPath": "https://cdn.gugudata.io/outputs/converted-report.docx"
  }
}

SEO and content migration workflows

1. Turn old PDFs into editable review documents

When a site has years of old PDFs, the first step is often not publication. It is review. Convert scanned PDFs into Word documents, then route them to editors for cleanup.

A practical workflow:

Upload PDF to PDF OCR to Word API.
Store the returned wordPath.
Send the Word file to a reviewer.
Mark the source PDF as reviewed, migrated, archived, or deprecated.
Publish approved content as HTML where SEO visibility matters.

This separates extraction from editorial decision-making.

2. Prepare source material for HTML pages

Word is a convenient bridge format for teams that need to rewrite, shorten, or reorganize content before publishing. The generated Word document can become a draft source for:

Landing pages
Knowledge base articles
Support documentation
Product pages
Policy pages
Research summaries

The goal is not to publish OCR text directly. The goal is to make old content editable so a human can prepare a clean web version.

3. Build a document modernization queue

For a large PDF library, combine PDF OCR to Text and PDF OCR to Word:

Use PDF OCR to Text API for indexing and triage.
Use PDF OCR to Word API for documents selected for editing.

This keeps processing efficient. Not every PDF needs a Word file. High-value PDFs can be prioritized based on topic, freshness, search demand, traffic, or business value.

4. Support compliance review

Some teams need editable copies of scanned PDFs for review. Word output allows comments, tracked edits, and collaboration in familiar document tools.

Use cases include:

Outdated legal language
Old pricing or terms
Required disclaimers
Product name changes
Country-specific notices

Implementation notes

Validate file type before upload.
Keep file processing on your backend.
Store the original PDF and returned wordPath together.
Use a stable output filename when users need readable download names.
Treat OCR output as a draft, not a final legal or editorial source.
Add review status fields in your own system.
Use queues and retries for batch conversion.
Keep appkey server-side.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Word document generated.	Store `wordPath` and connect it to the source PDF record.
`400`	Missing or invalid PDF file.	Validate upload field name, file type, and file size.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	PDF OCR service unavailable.	Retry later and keep the conversion job recoverable.

FAQ

Does this preserve the original PDF layout exactly?

The API generates a Word document from OCR output. Treat it as an editable OCR result for review and migration, not a guaranteed pixel-perfect reconstruction.

When should I use PDF OCR to Text instead?

Use PDF OCR to Text API when you need searchable text for indexing, classification, summarization, or analytics. Use PDF OCR to Word when users need an editable file.

Is Word output good for public SEO?

Word output is a workflow format. For public SEO, approved content should usually be published as accessible HTML with clear titles, headings, internal links, and metadata.

Can I choose the output file name?

Yes. Use the optional filename parameter to provide a readable .docx name.

Related GuGuData APIs

PDF OCR to Text API: extract page-level and combined recognized text from PDF files.
Image OCR to Word API: generate a Word document from image OCR output.
OCR API: extract text from uploaded images.
HTML to Word: convert HTML content into a Word document.
Convert Word to HTML: turn Word documents into web-friendly HTML.

For more document and SEO-supporting APIs, visit GuGuData.

PDF OCR to Text API for Searchable Document SEO

GuGuData — Wed, 08 Jul 2026 04:23:12 +0000

PDF OCR to Text API for Searchable Document SEO

PDF files often contain valuable content that is invisible to search systems, analytics workflows, and internal automation. Some PDFs have selectable text, but many are scanned documents, image-based reports, forms, or exported files where text extraction requires OCR.

The GuGuData PDF OCR to Text API runs OCR on an uploaded PDF document and returns page-level recognized text plus a combined full-text field. It is useful for searchable archives, content operations, compliance review, knowledge bases, and SEO workflows that need document content in text form.

This guide explains how to call the API, how to store the result, and how PDF OCR fits into a practical SEO and document-processing stack.

Why PDF OCR matters for SEO and content operations

Many organizations publish or store important information in PDFs:

Product brochures
Research reports
White papers
Press kits
Menus and schedules
Legal notices
Scanned forms
Historical documents
Partner materials

If the content remains locked inside a scanned PDF, it is hard to search, summarize, classify, or reuse. PDF OCR turns those documents into text that can power internal search, metadata generation, content audits, and editorial decisions.

For public SEO, the best long-term approach is usually to publish important content as HTML pages. But PDF OCR helps teams understand what is inside existing documents and decide what should be converted, summarized, indexed, or migrated.

API overview

Item	Value
API name	PDF OCR to Text API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/imagerecognition/pdf2text`
Detail page	https://gugudata.io/details/pdf2text
Demo page	https://gugudata.io/demo/pdf2text
Main use case	Extract OCR text from an uploaded PDF

The endpoint uses multipart/form-data because the source is a PDF upload.

Request parameters

Parameter	Type	Required	Description
`appkey`	`string`	Yes	Your GuGuData application key. Send it as a query parameter.
`file`	`file`	Yes	PDF file uploaded as multipart form data.

Example request:

curl -X POST "https://api.gugudata.io/v1/imagerecognition/pdf2text?appkey=YOUR_APPKEY" \
  -F "file=@./sample-document.pdf"

Response fields

Field	Type	Description
`resultText`	`array<string>`	Recognized text by page.
`text`	`string`	Combined recognized text.

Example response:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "resultText": [
      "Page 1 recognized text...",
      "Page 2 recognized text..."
    ],
    "text": "Page 1 recognized text...\n\nPage 2 recognized text..."
  }
}

SEO and content workflows

1. Build searchable PDF archives

If your organization has a large PDF library, OCR output can become the text layer for internal search. The source PDF can remain the original file, while text becomes the searchable representation.

Store:

PDF file ID
Original file name
Source URL or upload source
Page-level recognized text
Combined text
OCR timestamp
Processing status

This makes it possible to search across scanned files that previously had no useful text index.

2. Identify PDF content worth converting to HTML

From an SEO perspective, a PDF may be less flexible than a dedicated HTML page. OCR can help teams decide which PDFs deserve conversion.

Useful signals:

Word count from text
Topic keywords in the document
Product or service names
Dates and freshness
Repeated customer questions
Existing organic landing behavior if the PDF is public

After OCR, create a shortlist of high-value PDFs that should become HTML landing pages, support articles, or documentation pages.

3. Generate metadata for document libraries

Document libraries often suffer from weak titles and descriptions. PDF OCR output can feed metadata generation workflows.

For each PDF:

Extract text.
Generate a short title suggestion.
Generate a plain-language description.
Tag by topic, department, product, or audience.
Store the generated metadata for human review.

This improves internal discovery and can also support public document landing pages.

4. Compliance and content QA

OCR text can be checked for required disclaimers, outdated names, old pricing, missing contact details, or policy language. That makes the API useful for content governance, not just search.

Example checks:

Does the PDF mention an outdated brand name?
Does it include a required legal disclaimer?
Does it include a publication date?
Does it contain pricing that should be reviewed?
Is the extracted text too short for the expected document type?

Page-level vs combined text

The API returns both resultText and text.

Use resultText when:

Page boundaries matter.
You need page-level review.
You want to show search hits with page context.
The document is long and needs chunking.

Use text when:

You need a single searchable field.
You want to summarize the whole document.
You want to classify the document by topic.
You need simple downstream processing.

Many systems store both. Page-level storage gives you better traceability, and combined text is easier for full-document operations.

Implementation notes

Validate that the uploaded file is a PDF before sending it.
Keep file size and page-count limits in your own application.
Store the original PDF separately from OCR output.
Keep OCR jobs idempotent so retries do not create duplicate records.
Use a queue for large batches.
Store failed files with a recoverable status.
Keep appkey server-side.
Do not assume OCR output is perfect. Add review steps for high-stakes documents.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	PDF text extracted.	Store `resultText` and `text`.
`400`	Missing or invalid PDF file.	Validate upload field name, file type, and file size.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	PDF OCR service unavailable.	Retry later and keep the job recoverable.

FAQ

Does this convert the PDF into an editable Word file?

No. This endpoint returns text. Use PDF OCR to Word API when you need a downloadable Word document.

Should I expose this endpoint directly in browser code?

No. Use your backend so credentials, file validation, retries, and logging are controlled.

Can I use OCR output for public SEO pages?

Yes, as a source for content migration or metadata generation. For public search visibility, important text should usually be published as accessible HTML.

What if the PDF already has selectable text?

This API is built for OCR workflows. If you need broader PDF parsing or formatted extraction, also review PDF Parsing and Formatted Output.

Related GuGuData APIs

PDF OCR to Word API: generate a downloadable Word document from PDF OCR output.
OCR API: extract text from uploaded image files.
Image OCR to Word API: convert image OCR output into a Word document.
PDF Parsing and Formatted Output: parse PDF content into formatted output.
PDF Summary: summarize PDF content for review workflows.

For more document and SEO-supporting APIs, visit GuGuData.

OCR API for Searchable Content and SEO Workflows

GuGuData — Wed, 08 Jul 2026 04:22:22 +0000

OCR API for Searchable Content and SEO Workflows

Search engines and internal search systems work best when important information exists as text. But many business workflows still depend on screenshots, scanned documents, receipts, labels, forms, notes, and images that contain valuable text. If that text remains inside an image, it is difficult to search, classify, summarize, translate, or connect to downstream automation.

The GuGuData OCR API extracts text from an uploaded image file and returns recognized text lines plus a combined full-text result. It is useful for document intake, searchable archives, content operations, and SEO-supporting workflows where image-contained text needs to become structured text.

This guide explains how to call the API, how to process the response, and how OCR fits into broader SEO and content systems.

Where OCR fits in SEO

OCR is not a replacement for writing accessible HTML content. Important public web content should still be available as text on the page. But OCR is useful around SEO operations in several ways:

Convert screenshots into searchable notes for content research.
Extract text from scanned PDFs or image attachments before indexing.
Build searchable archives for historical documents.
Process image-only source material before editorial review.
Capture text from product labels, forms, receipts, or field documents.
Enrich internal content management systems with text from uploaded images.

For public pages, OCR can help identify whether critical information is trapped inside images and should be converted into HTML text, captions, or accessible content.

API overview

Item	Value
API name	OCR API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/imagerecognition/ocr`
Detail page	https://gugudata.io/details/ocr
Demo page	https://gugudata.io/demo/ocr
Main use case	Extract recognized text from an uploaded image file

The API uses multipart/form-data because the source is a file upload.

Request parameters

Parameter	Type	Required	Description
`appkey`	`string`	Yes	Your GuGuData application key. Send it as a query parameter.
`imagefile`	`file`	Yes	Image file uploaded as multipart form data.

Example request:

curl -X POST "https://api.gugudata.io/v1/imagerecognition/ocr?appkey=YOUR_APPKEY" \
  -F "imagefile=@./sample-image.png"

Response fields

Field	Type	Description
`resultText`	`array<string>`	Recognized text lines.
`text`	`string`	Full recognized text when available.

Example response:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "resultText": [
      "Quarterly SEO Report",
      "Organic clicks increased by 18 percent",
      "Top opportunity: improve article image alt text"
    ],
    "text": "Quarterly SEO Report\nOrganic clicks increased by 18 percent\nTop opportunity: improve article image alt text"
  }
}

SEO-supporting workflows you can build

1. Searchable research archives

SEO research often includes screenshots from search results, competitor pages, reports, dashboards, and ad libraries. OCR can turn those screenshots into text records that your team can search later.

Store:

Original file name
Upload time
Recognized text lines
Combined text
Source project or campaign
Reviewer notes

This turns visual research into a searchable knowledge base instead of a folder of images.

2. Image-only content detection

Some pages publish important information as images: event schedules, menus, tables, promotional banners, infographics, or scanned notices. OCR can help content teams audit whether important text is locked inside images.

A simple workflow:

Extract article image candidates from a page.
Run OCR on selected images.
Compare recognized image text with visible HTML page text.
Flag pages where important image text is missing from HTML.

This helps improve accessibility, internal search, and SEO quality.

3. Document intake before indexing

When users upload screenshots or scanned images to your product, OCR can extract text before you index the record. This is useful for support systems, compliance tools, archives, and workflow automation.

After OCR:

Store the image file separately from recognized text.
Index the text field for search.
Keep resultText when line breaks matter.
Review low-quality images manually when extracted text is too short.

4. AI summarization and classification

OCR output can be passed into summarization or classification systems. For example, a screenshot of an SEO dashboard can be converted to text, then summarized for a weekly report.

Keep the flow simple:

Upload image to OCR API.
Review text.
Send recognized text to a controlled downstream summarization step.
Store both the OCR text and generated summary.

File handling recommendations

Because OCR starts with user-provided files, treat file handling as part of the product design:

Validate file type before upload.
Enforce file size limits in your own application.
Keep credentials server-side.
Avoid sending sensitive user uploads from browser code with public credentials.
Keep a clear retention policy for original files and recognized text.
Store the OCR result with the source file ID so users can trace it.

When to use related OCR and document APIs

Need	Recommended API
Extract text from an image	OCR API
Generate a Word document from image OCR	Image OCR to Word API
Extract text from a PDF with OCR	PDF OCR to Text API
Generate a Word document from PDF OCR	PDF OCR to Word API
Parse or convert PDF content	PDF Parsing and Formatted Output

Use OCR API when you need text as data. Use OCR to Word when the user expects an editable document output.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Image text extracted.	Store `resultText` and `text`.
`400`	Missing or invalid image file.	Validate file type, upload field name, and file size.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	OCR service unavailable.	Retry later and keep the file in a recoverable queue.

FAQ

Does OCR make image text SEO-friendly on a public page?

Not by itself. OCR helps you extract text, but public SEO value usually comes from putting important text into accessible page content, captions, alt text, or structured content.

Should OCR run in frontend code?

No. Call the API from a backend service so your appkey, validation rules, and file handling remain controlled.

What should I store, lines or full text?

Store both when possible. resultText keeps line-level structure, while text is easier to index and pass into downstream text processing.

Can I use OCR for screenshots from SEO tools?

Yes. OCR can convert screenshot text into searchable notes, but always preserve the original screenshot when visual context matters.

Related GuGuData APIs

Image OCR to Word API: convert image OCR output into a downloadable Word document.
PDF OCR to Text API: extract searchable text from uploaded PDF files.
PDF OCR to Word API: generate editable Word documents from PDF OCR output.
Article Content Extraction API: extract text and metadata from public article URLs.
PageSpeed and SEO Score API: score public pages for technical SEO and performance.

For more OCR, document, and SEO-supporting APIs, visit GuGuData.

PageSpeed and SEO Score API for Technical SEO Audits

GuGuData — Wed, 08 Jul 2026 04:21:17 +0000

PageSpeed and SEO Score API for Technical SEO Audits

Technical SEO teams need repeatable scoring, not one-off screenshots from manual tools. A page can rank poorly because of content gaps, but it can also lose opportunities because of slow response time, oversized assets, missing HTML signals, weak accessibility, or basic best-practice issues.

The GuGuData PageSpeed and SEO Score API scores a public webpage for performance, SEO, accessibility, and best-practice signals. It returns core metrics, category scores, audit results, and improvement opportunities so teams can build automated technical SEO checks into dashboards, monitoring systems, and content workflows.

This guide covers the API, request parameters, response shape, and practical SEO workflows.

Why a PageSpeed and SEO score API matters

Manual page checks are useful during debugging, but they do not scale across hundreds or thousands of URLs. SEO and web teams often need a repeatable API-driven workflow for:

Monitoring important landing pages.
Checking newly published content before promotion.
Comparing mobile and desktop page quality.
Creating technical SEO dashboards.
Auditing page templates across many URLs.
Triggering engineering tickets when scores drop.
Pairing page quality with search visibility trends.

The API is especially useful when it is combined with search, traffic, and conversion data. A page with high impressions and poor technical quality is a better optimization target than a page with low demand and no traffic path.

API overview

Item	Value
API name	PageSpeed and SEO Score API
Method	`GET`
Endpoint	`https://api.gugudata.io/v1/websitetools/pagespeed-score`
Detail page	https://gugudata.io/details/pagespeed-score
Demo page	https://gugudata.io/demo/pagespeed-score
Main use case	Score a webpage for performance, SEO, accessibility, and best practices

Request parameters

Parameter	Type	Required	Default	Description
`appkey`	`string`	Yes	`YOUR_APPKEY`	Your GuGuData application key.
`url`	`string`	Yes	None	Public HTTP or HTTPS URL to score.
`strategy`	`string`	No	`desktop`	Scoring strategy. Use `desktop` or `mobile`.
`locale`	`string`	No	`en`	Language preference for the result.
`categories`	`string`	No	`performance,accessibility,best-practices,seo`	Comma-separated score categories.
`forceRefresh`	`boolean`	No	`false`	Reserved for clients that want to bypass cache when caching is enabled.

Example request:

curl "https://api.gugudata.io/v1/websitetools/pagespeed-score?appkey=YOUR_APPKEY&url=https%3A%2F%2Fwww.gugudata.io%2Fdetails%2Fsearch-visibility%2F&strategy=desktop&locale=en&categories=performance,accessibility,best-practices,seo"

Response fields

Field	Type	Description
`url`	`string`	Scored URL.
`strategy`	`string`	`desktop` or `mobile`.
`checkedAt`	`string`	Scoring timestamp.
`coreMetrics`	`object`	Status, response time, content size, compression, image count, and script count.
`scores`	`object`	Requested score categories from 0 to 100.
`audits`	`array<object>`	Audit checks and pass or fail values.
`opportunities`	`array<object>`	Recommended improvements for failed audits.

Example response shape:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "url": "https://www.gugudata.io/details/search-visibility/",
    "strategy": "desktop",
    "checkedAt": "2026-07-08T00:00:00Z",
    "coreMetrics": {
      "status": 200,
      "responseTimeMs": 420,
      "contentSizeBytes": 128000,
      "isCompressed": true,
      "imageCount": 12,
      "scriptCount": 8
    },
    "scores": {
      "performance": 86,
      "accessibility": 92,
      "bestPractices": 88,
      "seo": 94
    },
    "audits": [
      {
        "id": "meta-description",
        "title": "Meta description",
        "passed": true
      }
    ],
    "opportunities": [
      {
        "id": "image-optimization",
        "title": "Optimize large images",
        "impact": "medium"
      }
    ]
  }
}

SEO workflows you can build

1. Landing page quality monitoring

Build a list of important landing pages, call the API daily or weekly, and store the returned scores. A score trend is more useful than a single score because it shows whether a page template or deployment changed over time.

Store:

URL
Strategy
Checked time
Performance score
SEO score
Accessibility score
Best-practices score
Core metrics
Failed audits
Opportunities

Then create alerts when high-value URLs drop below your thresholds.

2. Search visibility plus page quality

Page quality matters most when there is real search opportunity. Pair PageSpeed and SEO Score API with Search Visibility API to prioritize work.

A practical prioritization model:

Signal	Meaning
High search impressions, low CTR	Improve title, description, and SERP fit.
High impressions, low page quality score	Review technical and user-experience issues.
Strong page quality, low visibility	Improve content targeting and internal links.
Low quality and low visibility	Deprioritize until search demand is proven.

This prevents teams from spending a week optimizing a page that has no search demand.

3. Template-level technical SEO audits

Many sites have repeated templates: product pages, API documentation pages, category pages, blog posts, and pricing pages. Instead of checking every URL manually, sample representative URLs from each template.

For each template:

Score one desktop URL.
Score one mobile URL.
Compare audit failures.
Group opportunities by template.
Send engineering work to the owning team.

This is usually more effective than opening separate tickets for individual pages.

4. Pre-publish checks

Before publishing a new SEO landing page, run the API on the staging or public preview URL if it is accessible. The response can catch missing title, missing meta description, oversized content, script bloat, or basic accessibility issues before the page enters the search index.

For production workflows, run the score again after publication and store it with the page release record.

Desktop vs mobile strategy

Use desktop when your users primarily browse on larger screens or when you need a stable comparison for business tools and documentation pages.

Use mobile when:

The page targets consumer search traffic.
Mobile SERP traffic is important.
Your templates behave differently on small screens.
Layout, loading, or image behavior changes significantly by device.

Many SEO teams store both. The important part is to avoid mixing scores without recording the strategy.

Implementation notes

Always URL-encode the url query parameter.
Store strategy with every result.
Keep forceRefresh false unless your workflow explicitly needs a fresh run.
Record failed audits and opportunities, not only top-level scores.
Use thresholds by page type. A documentation page and a media-heavy article may need different score targets.
Keep appkey on your backend.
Avoid scoring very large URL lists without a queue and rate-limit policy.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Page scored successfully.	Store scores, audits, and opportunities.
`400`	Missing, invalid, or unreachable URL.	Validate URL and retry only after correction.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	Scoring service unavailable.	Retry later and keep the URL in the queue.

FAQ

Is this only a performance API?

No. The API returns performance, SEO, accessibility, and best-practice signals. The exact categories can be controlled through the categories parameter.

Should I check every page on my site every day?

Usually no. Start with high-value URLs and representative templates. Expand coverage after you know how the results will be used.

Can this replace manual SEO audits?

It replaces repetitive checks, not expert judgment. Use it to identify changes, regressions, and opportunities at scale, then review important pages manually when needed.

How should I connect this with business metrics?

Join the score result to URL-level search impressions, clicks, CTR, orders, demo runs, or lead events. That tells you which technical fixes are most likely to matter.

Related GuGuData APIs

Search Visibility API: monitor visibility signals and connect SEO demand with technical page quality.
Article Content Extraction API: extract readable content from article pages.
Extract Images from Article URL API: inspect article image candidates and alt text.
Domain DNS Information Query: check domain DNS records.
Domain SSL Certificate Information Parsing: verify certificate details for technical audits.
Webpage Screenshot Capture: capture visual evidence for audits and reports.

For more website and SEO APIs, visit GuGuData.

Extract Images from Article URLs for SEO and Content Automation

GuGuData — Wed, 08 Jul 2026 04:20:16 +0000

Extract Images from Article URLs for SEO and Content Automation

Images are part of the SEO record of an article. They influence visual presentation, social previews, content quality checks, media reuse, image search opportunities, and editorial QA. But extracting the right images from an article page can be harder than it looks. A public webpage often includes logos, avatars, icons, ads, tracking pixels, recommendations, and unrelated layout images.

The GuGuData Extract Images from Article URL API focuses on image candidates from the readable article area. It returns normalized image URLs with alt text and available width and height attributes, making it useful for SEO image audits, content ingestion, and media workflows.

This guide explains how to use the API, how to evaluate image results, and where it fits with other GuGuData web extraction APIs.

Why article image extraction matters for SEO

Article images are not just decorative assets. They can affect click-through behavior, content quality, accessibility, and downstream distribution.

Common SEO and content operations include:

Checking whether article images have useful alt text.
Verifying whether pages include a primary image or supporting visuals.
Building image inventories for large editorial sites.
Detecting missing or broken article media.
Preparing content previews for internal search or knowledge bases.
Comparing competitor article media strategy by topic.
Feeding image URLs into visual review, thumbnail, or archive systems.

If image extraction happens after a full raw HTML crawl, teams often need custom filtering logic to remove logos, icons, and unrelated media. Starting from the readable article area reduces that noise.

API overview

Item	Value
API name	Extract Images from Article URL API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/websitetools/fetchcontentimages`
Detail page	https://gugudata.io/details/fetchcontentimages
Demo page	https://gugudata.io/demo/fetchcontentimages
Main use case	Extract article image candidates from a public URL

The endpoint accepts a public article URL and returns an images array. Each item includes the original image source, normalized absolute URL, alt text, and available dimensions.

Request parameters

Parameter	Type	Required	Description
`appkey`	`string`	Yes	Your GuGuData application key. Send it as a query parameter.
`url`	`string`	Yes	Public HTTP or HTTPS article URL. Send it in the JSON body.

Example request:

curl -X POST "https://api.gugudata.io/v1/websitetools/fetchcontentimages?appkey=YOUR_APPKEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://blog.cloudflare.com/q1-2024-internet-disruption-summary"
  }'

Response fields

Field	Type	Description
`url`	`string`	Source URL.
`images`	`array<object>`	Extracted article image candidates.
`images.src`	`string`	Original image source value from the page.
`images.absoluteUrl`	`string`	Absolute image URL.
`images.alt`	`string`	Image alt text when available.
`images.width`	`string`	Image width attribute when available.
`images.height`	`string`	Image height attribute when available.

Example response:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "url": "https://example.com/article",
    "images": [
      {
        "src": "/assets/article-cover.jpg",
        "absoluteUrl": "https://example.com/assets/article-cover.jpg",
        "alt": "Dashboard showing weekly SEO traffic",
        "width": "1200",
        "height": "630"
      }
    ]
  }
}

SEO workflows you can build

1. Alt text quality audit

For each article URL, extract image candidates and check the alt field. This lets your team flag pages where article images have missing, generic, or duplicate alt text.

Useful checks include:

Empty alt text on important article images.
Alt text that only says "image" or "photo".
Duplicate alt text across many images.
Alt text that does not match the article topic.
Image fields that exist in HTML but are not normalized correctly by the page.

This can become a weekly SEO QA job for content teams that publish at scale.

2. Article media inventory

Many editorial teams do not have a reliable inventory of images used in live articles. Extracting article images gives you a structured record of media usage by URL.

Store:

Article URL
Image absolute URL
Alt text
Width and height
Extraction timestamp
Article title from Article Content Extraction API

Once the data is stored, you can answer operational questions such as which pages rely on external image hosts, which articles have no images, and which image URLs appear across multiple articles.

3. Competitive content review

For competitive SEO, article text is only one part of the page. Image count, image quality, visual explanations, and supporting charts can influence perceived content depth.

You can extract image candidates from competitor articles and compare:

Number of article images per page.
Whether images include useful alt text.
Whether visual assets are unique or reused.
Whether high-ranking pages include charts, screenshots, diagrams, or product visuals.

The result can help editorial teams decide when a page needs original visuals rather than more text.

4. Content preview generation

If you build an internal research tool, CRM enrichment workflow, or knowledge base, you may want to show a representative image beside each saved article. The images array provides candidate URLs that your application can score or select.

Selection rules can be simple:

Prefer images with non-empty alt text.
Prefer larger dimensions when available.
Prefer the first high-quality article image.
Exclude very small icons or decorative images in your own post-processing.

When to use this API instead of full article extraction

Use Article Content Extraction API when you need the full article record: title, description, text, HTML, author, publish time, and images.

Use Extract Images from Article URL API when your workflow is specifically about media:

Image inventory
Alt text QA
Media preview generation
Image candidate extraction
Content audit enrichment

If you already call Article Content Extraction and it returns enough image data for your use case, you may not need a second call. If your media workflow is independent, this focused endpoint keeps the payload smaller.

Implementation notes

Keep appkey on your backend.
Normalize and deduplicate absoluteUrl before storing results.
Treat width and height as page attributes when available, not guaranteed measured dimensions.
Save the source article URL with every image record.
Recheck important URLs periodically because article images can change after publishing.
Combine image extraction with article title and publish date for better reporting.
Build a small review UI for flagged image issues instead of sending raw data directly to editors.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Article image candidates extracted.	Parse `data.images` and store normalized records.
`400`	Missing or invalid URL.	Validate URL format and request body.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	Target page or extraction service unavailable.	Retry later and keep the failed URL for review.

FAQ

Does this return every image on the page?

The API focuses on image candidates from the readable article area. That makes it better for article media workflows than a raw page image scrape.

Can I use this for image SEO audits?

Yes. The alt, absoluteUrl, width, and height fields are useful for finding missing alt text, external media dependencies, and article pages without strong image assets.

Does it download the images?

No. It returns image URLs and metadata candidates. Your application can decide whether to download, cache, review, or ignore each image.

How should I combine this with article text?

Use Article Content Extraction API to collect article title and body text, then store images as child records under the same source URL.

Related GuGuData APIs

Article Content Extraction API: extract article title, readable content, plain text, metadata, and images.
PageSpeed and SEO Score API: score technical SEO and performance signals for a page.
Webpage Screenshot Capture: capture visual page states for QA and reporting.
Convert URL to Markdown: convert a page into Markdown for content workflows.
Search Visibility API: connect page-level work with search visibility monitoring.

For more website and SEO APIs, visit GuGuData.

触达名单质量统计台功能需求文档

GuGuData — Wed, 08 Jul 2026 04:20:13 +0000

所属分类：短信/语音

产品案例页：https://engineering.gugudata.com/products/sms/contact-list-quality-report/

产品定位与截图范围

触达名单质量统计台属于短信/语音场景，面向营销触达名单质量评估的统计台，截图重点是批次管理、总体质量概览、质量趋势、脱敏样本、字段概览、号段国家区号分布、运营商分布、重复情况、无效原因和质量评分。这篇 PRD 只描述当前截图对应产品，页面目标是让业务方先理解这套界面的使用价值，再通过下方关联接口判断数据能力是否覆盖自己的项目。

产品需要把截图中的信息组织成可交付的软件需求：导航区说明用户能进入哪些业务模块，左侧区域说明对象如何被筛选和管理，中间区域说明核心处理任务如何完成，右侧区域说明结果、配置、统计或详情如何被核对。用户阅读后应能判断该系统适合解决什么问题、日常如何操作、输出什么结果、验收时看哪些指标。

目标用户与业务场景

主要用户包括：

营销运营人员
CRM 数据管理员
短信投放负责人
数据质量分析师
客服主管

这些用户通常不是为了体验单点工具，而是为了在真实业务中持续处理数据、资料或任务。系统需要支持从对象导入、筛选定位、任务执行、结果核对到导出沉淀的完整流程。截图中的布局应被理解为高频工作台：左侧负责范围和对象，中间负责操作和主结果，右侧负责配置、质量、详情或辅助分析。每个区域都应服务于减少人工查找、重复录入和跨工具切换。

截图可见信息组织

顶部导航和一级模块包括：

质量看板
批次管理
字段分析
重复分析
清洗规则
导出中心
系统设置

左侧区域需求：左侧批次列表按全部、已完成、检测中、已失败展示导入名单批次，包含批次名称、来源、记录数、检测时间和状态。批次信息区展示数据来源、导入时间、检测时间、记录总数、有效记录、文件名和备注。

主工作区需求：中间总体质量概览展示记录总数、有效记录、有效率、重复记录、重复率、无效记录、无效率。质量趋势折线图展示近 7 天有效率、重复率、无效率变化；脱敏样本表展示号码、国家区号、运营商、格式校验、重复状态、归属地和创建时间；字段概览展示手机号、国家区号、运营商、归属地、号码类型、更新时间的有效率。

右侧与辅助区需求：右侧分析明细展示号段/国家区号分布、运营商分布、重复情况、无效原因分布和数据质量评分。无效原因包括格式错误、长度不正确、包含非法字符、号码不存在和其他。

截图中的页面需要保持信息密度，但不能牺牲可读性。列表、筛选器、标签页、统计卡片、图表和操作按钮都应围绕当前业务对象展开。用户切换对象后，中间主内容和右侧详情必须同步，避免出现列表选中项、预览内容和统计结果不一致的情况。

核心功能需求

对象管理：系统应提供清晰的对象列表或对象树，支持搜索、筛选、分组、状态区分和批量操作。对象行需要展示足够的业务字段，让用户不进入详情也能判断当前对象是否值得处理。
主任务处理：系统应把截图中的高频动作放在主操作区，减少用户在菜单中查找功能的时间。对于需要批量处理的场景，页面要展示任务状态、进度、成功失败数量和可恢复操作；对于查询分析类场景，页面要展示筛选条件、结果表和关键指标。
结果核对：右侧或下方结果区应展示用户最关心的结果摘要、质量、详情、来源或导出入口。结果需要能被复制、下载、导出、继续分析或进入下一步流程。若存在失败、异常或低质量结果，应以业务语言说明原因，并提供重试、修改、忽略或查看详情。
记录沉淀：系统应保留任务记录、操作记录、历史结果或最近使用记录。用户需要能够回溯某一批数据的处理时间、处理人、输入对象、输出结果和当前状态，便于团队协作和交付复盘。
配置复用：当截图中出现模板、规则、字段、样式、系统设置或数据源配置时，产品应允许团队沉淀常用方案。配置项应使用业务名称描述，避免让用户理解无关参数。

主要操作流程

导入触达名单或选择历史批次
执行批量检测并生成质量概览
查看趋势、重复、无效原因和字段质量
根据清洗建议修正名单
导出看板或质量报告

流程设计要保证用户能随时知道自己处于哪一步。对于导入类流程，用户需要先看到导入对象是否正确；对于分析类流程，用户需要确认筛选条件和数据范围；对于发布或导出类流程，用户需要确认结果质量和输出格式。任何关键操作都应在页面上有明确反馈，而不是只依赖短暂提示。

数据与结果展示

该系统需要重点输出：

质量看板
脱敏样本
字段有效率
重复分析
无效原因分布
质量评分
导出报告

结果展示应遵循三层结构。第一层是概览指标，用于快速判断整体状态；第二层是明细列表或图表，用于定位具体对象；第三层是详情、记录或来源，用于核对结果可信度。截图中的表格、趋势图、地图、预览器、富文本区、卡片和环图都应作为业务结果的一部分，而不是装饰性元素。

对于长列表，分页、排序、搜索和筛选必须稳定可用。对于图表和地图，颜色、图例、单位、更新时间和数据来源要清晰。对于文件或报告类结果，下载、导出、复制和查看详情需要保持一致的位置和命名。对于质量类结果，分数、错误数、重复率、有效率、置信度和风险等级需要能让用户直接采取下一步动作。

接口调用蓝图

接口调用蓝图只列出当前案例的核心接口。所有请求地址均使用生产 API 域名，接口文档地址指向咕咕数据公开详情页。表格中的 * 表示必填参数；appkey 只代表调用方自己的访问凭证占位，不展示真实值。

业务步骤	接口名称	接口文档	请求地址	关键入参	关键出参	传参关系
国际号码校验	国际手机号码检查纠正	internationalphone	`GET https://api.gugudata.com/sms/internationalphone`	`appkey* (query)`、`phone* (query)`、`countrycode (query)`	标准号码、国家区号、有效性	号码写入 `phone`，可用 `countrycode` 提供默认国家区号。
手机归属地查询	手机归属地查询	mobileattribution	`GET https://api.gugudata.com/sms/mobileattribution`	`appkey* (query)`、`mobile* (query)`	省份、城市、运营商	标准化后的国内手机号写入 `mobile`。

参数流转说明

批量名单按行处理。每行号码先通过 phone 进入国际号码接口，返回标准号码和有效性；有效且属于国内手机号的记录继续把标准号码传给 mobile 查询归属地。最终统计按原始号码、标准号码、国家区号、归属地和有效状态聚合。

用户输入的原始对象需要和每一步接口结果保持明确对应关系。页面应保留原始输入、当前处理参数和接口输出结果之间的联系，让用户可以从任一结果回到来源对象。例如用户修改关键词、日期、代码、文件、城市或号码后，所有依赖该参数的结果都需要重新标识为待刷新或重新查询，避免旧结果和新条件混在一起。

不同接口之间传参时，只传递公开接口需要的业务字段。文件类场景传递文件、文件地址或识别文本；数据查询类场景传递代码、日期、区域、关键词或分页条件；文本类场景传递正文、目标语言、对比文本或处理风格；号码类场景传递原始号码、标准号码和国家区号。接口返回结果进入页面后，需要转换为业务人员能理解的字段名称和操作入口。

如果用户批量处理多个对象，系统应把每个对象的参数和结果分开保存到列表行或任务项中。批量任务可以并行展示进度，但用户在页面上看到的仍应是每条业务对象的输入、状态和输出，不能只显示一个模糊的整体结果。失败项需要保留原始输入和失败步骤，方便用户修正参数后重新提交。

体验要求与验收标准

页面渲染顺序应保持为产品截图、功能需求文档、相关数据接口。当前 case 有独立 PRD 时显示文档区，切换到任意其他 case 时显示该 case 自己的文档，不能出现所有 case 共用同一篇总文档的情况。文档标题统一为“功能需求文档”，正文采用适合长文阅读的排版，段落宽度、行距、标题层级和列表样式要与工程站点风格一致。

桌面端需要保留左侧导航固定能力，用户阅读长文和接口列表时仍能切换案例。移动端需要单列展示，图片、文档、接口列表不能互相遮挡，表格或长内容不能造成页面整体横向溢出。没有配置或加载失败的文档不应显示空白模块；但本次目标是所有 case 都有对应文档，因此最终验收时每个 case 都应能读取到 Markdown 内容。

验收时需要逐个检查：case 标题是否与截图一致，截图是否正常显示，功能需求文档是否是当前 case 的独立内容，相关接口是否仍按行业分类完整显示，接口数量是否与侧边分类数量一致，点击接口文档是否进入咕咕数据接口详情页。只有这些要求都满足，才能认为该 case 的 PRD 渲染完成。

截图功能验收清单

验收人员需要按照截图从左到右、从上到下检查页面，而不是只看主标题是否存在。顶部导航应能说明产品的主要业务模块；左侧列表、树形结构或批次区域应能说明当前管理对象；中间工作区应能完成主要查询、处理、编辑、预览、分析或生成动作；右侧详情、统计、配置或质量区域应能回答用户为什么可以信任当前结果。若某个区域只显示静态占位、字段与截图语义不一致、切换对象后详情没有同步、导出入口无法体现当前业务结果，都应视为未满足该 case 的 PRD 要求。

文档展示也要按独立 case 验收。进入该案例路由后，功能需求文档中的产品名称、业务场景、导航模块、核心流程和输出结果都必须与当前截图一致；切换到相邻案例后，文档内容必须随 case 变化，不能继续显示上一案例的文字。相关接口区域需要保持在文档之后完整显示，作为从产品案例进入接口详情的能力入口。

关于 GuGuData Engineering 产品案例

更多产品案例请访问 GuGuData Engineering 产品案例。

GuGuData Engineering 产品案例页展示基于咕咕数据接口能力构建的数据接入、业务流程和产品原型，帮助团队从真实业务场景出发，快速评估接口组合、调用方式和落地价值。

号码格式校验工具功能需求文档

GuGuData — Wed, 08 Jul 2026 04:19:30 +0000

所属分类：短信/语音

产品案例页：https://engineering.gugudata.com/products/sms/phone-format-validation/

产品定位与截图范围

号码格式校验工具属于短信/语音场景，面向手机号码和国际号码批量清洗的格式校验工具，截图重点是批次文件、检测结果、数据预览、无效号码、重复号码、异常字段、检测概览、规则配置、号码质量明细和最近检测记录。这篇 PRD 只描述当前截图对应产品，页面目标是让业务方先理解这套界面的使用价值，再通过下方关联接口判断数据能力是否覆盖自己的项目。

目标用户与业务场景

主要用户包括：

短信运营人员
CRM 管理员
客服触达人员
数据清洗人员
增长运营人员

截图可见信息组织

顶部导航和一级模块包括：

工作台
检测任务
号码规则
标注方案
授权数据

左侧区域需求：左侧批次文件列表展示多个 CSV、XLSX 批次，包含记录数、检测时间和状态。快速操作提供下载模板、规则说明、字段配置和常见问题，文件要求说明支持格式、最大文件和字段要求。

主工作区需求：中间检测结果展示当前批次、检测时间、文件大小、总条数，并以标签切换检测结果、数据预览、无效号码、重复号码和异常字段。结果表展示脱敏号码、国家地区、国家区号、运营商、号码类型、格式校验、状态、风险等级和备注。

右侧与辅助区需求：右侧检测概览以环图展示有效率、总条数、有效号码、无效号码、重复号码和异常字段。规则与配置显示匹配规则、国家地区库、运营商库、号码库和更新时间。号码质量明细列出格式错误、号码不存在、位数不足、非法字符等原因。

核心功能需求

对象管理：系统应提供清晰的对象列表或对象树，支持搜索、筛选、分组、状态区分和批量操作。对象行需要展示足够的业务字段，让用户不进入详情也能判断当前对象是否值得处理。
主任务处理：系统应把截图中的高频动作放在主操作区，减少用户在菜单中查找功能的时间。对于需要批量处理的场景，页面要展示任务状态、进度、成功失败数量和可恢复操作；对于查询分析类场景，页面要展示筛选条件、结果表和关键指标。
结果核对：右侧或下方结果区应展示用户最关心的结果摘要、质量、详情、来源或导出入口。结果需要能被复制、下载、导出、继续分析或进入下一步流程。若存在失败、异常或低质量结果，应以业务语言说明原因，并提供重试、修改、忽略或查看详情。
记录沉淀：系统应保留任务记录、操作记录、历史结果或最近使用记录。用户需要能够回溯某一批数据的处理时间、处理人、输入对象、输出结果和当前状态，便于团队协作和交付复盘。
配置复用：当截图中出现模板、规则、字段、样式、系统设置或数据源配置时，产品应允许团队沉淀常用方案。配置项应使用业务名称描述，避免让用户理解无关参数。

主要操作流程

上传号码文件
选择号码类型、国家地区和筛选条件
执行批量检测
查看有效、无效、重复和异常字段结果
导出结果或生成质量报告

数据与结果展示

该系统需要重点输出：

号码校验结果
有效率统计
国家区号和运营商识别
无效原因
重复号码清单
质量报告
导出文件

接口调用蓝图

业务步骤	接口名称	接口文档	请求地址	关键入参	关键出参	传参关系
国际号码校验	国际手机号码检查纠正	internationalphone	`GET https://api.gugudata.com/sms/internationalphone`	`appkey* (query)`、`phone* (query)`、`countrycode (query)`	标准号码、国家区号、有效性	号码写入 `phone`，可用 `countrycode` 提供默认国家区号。
手机归属地查询	手机归属地查询	mobileattribution	`GET https://api.gugudata.com/sms/mobileattribution`	`appkey* (query)`、`mobile* (query)`	省份、城市、运营商	标准化后的国内手机号写入 `mobile`。

参数流转说明

号码先进入国际号码接口完成格式判断和标准化。如果结果确认是国内手机号，再把标准化后的手机号传给归属地接口。页面需要保留原始号码、标准号码、国家区号和归属地结果，便于用户导出清洗前后对照表。

体验要求与验收标准

截图功能验收清单

关于 GuGuData Engineering 产品案例

更多产品案例请访问 GuGuData Engineering 产品案例。

Article Content Extraction API for SEO Content Pipelines

GuGuData — Wed, 08 Jul 2026 04:18:03 +0000

Article Content Extraction API for SEO Content Pipelines

Search teams, content platforms, and data products often start with the same messy input: a public article URL. The page may include navigation, cookie banners, related posts, comments, scripts, and layout HTML. What you usually need for an SEO workflow is much smaller and much more structured: the article title, description, readable body, plain text, main image, image candidates, author, published time, and source domain.

The GuGuData Article Content Extraction API is designed for that exact job. It extracts clean article content from a public webpage URL and returns a normalized JSON response that can be stored, indexed, summarized, compared, or passed into downstream SEO automation.

This guide explains where the API fits in an SEO stack, how to call it, what fields to expect, and how to combine it with related GuGuData website tools.

Why article extraction matters for SEO

Modern SEO work is not only about ranking pages. Teams also need to monitor competitors, build internal content intelligence, analyze topic coverage, enrich editorial workflows, and turn public pages into structured records.

Article extraction helps with:

Content inventory: collect clean text from a list of article URLs.
Topic analysis: compare titles, headings, body text, and summaries across competing pages.
Search result enrichment: store article metadata for discovery, tagging, and indexing.
AI workflows: send readable article text to summarization, classification, or content QA steps.
Internal linking research: combine extracted text with link extraction and search visibility data.
Publishing operations: normalize articles before archiving, review, translation, or reporting.

The key point is consistency. If your pipeline stores raw HTML from every page, every downstream step has to deal with layout noise. If your pipeline stores a clean article record, later analysis becomes much easier.

API overview

Item	Value
API name	Article Content Extraction API
Method	`POST`
Endpoint	`https://api.gugudata.io/v1/websitetools/fetchcontent`
Detail page	https://gugudata.io/details/fetchcontent
Demo page	https://gugudata.io/demo/fetchcontent
Main use case	Extract readable article content and metadata from a public URL

The endpoint accepts a public HTTP or HTTPS article URL and returns article-level fields. It is useful when you want a focused article parser instead of a broad page-to-Markdown or page-to-HTML conversion.

Request parameters

Parameter	Type	Required	Description
`appkey`	`string`	Yes	Your GuGuData application key. Send it as a query parameter.
`url`	`string`	Yes	Public HTTP or HTTPS article URL. Send it in the JSON body.

Example request:

curl -X POST "https://api.gugudata.io/v1/websitetools/fetchcontent?appkey=YOUR_APPKEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://blog.cloudflare.com/q1-2024-internet-disruption-summary"
  }'

Response fields

Field	Type	Description
`url`	`string`	Source URL.
`title`	`string`	Extracted article title when available.
`description`	`string`	Article summary or page description when available.
`content`	`string`	Readable article HTML.
`contentText`	`string`	Plain text extracted from the article content.
`image`	`string`	Primary article image URL when available.
`images`	`array<object>`	Article image candidates with source URL, absolute URL, alt text, width, and height.
`author`	`string`	Article author when available.
`published`	`string`	Published time when available.
`source`	`string`	Source domain or publisher.

Example response shape:

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "dataTotalCount": 1
  },
  "data": {
    "url": "https://example.com/article",
    "title": "Example article title",
    "description": "A short page description",
    "content": "<article><p>Readable article HTML...</p></article>",
    "contentText": "Readable article text...",
    "image": "https://example.com/cover.jpg",
    "images": [
      {
        "src": "/cover.jpg",
        "absoluteUrl": "https://example.com/cover.jpg",
        "alt": "Article cover",
        "width": "1200",
        "height": "630"
      }
    ],
    "author": "Example Author",
    "published": "2026-07-08T00:00:00Z",
    "source": "example.com"
  }
}

SEO workflows you can build

1. Competitor content monitoring

Store a list of competitor article URLs, extract each page on a schedule, and compare changes in title, description, body length, image usage, and publication freshness. This is useful for tracking fast-moving topics where search results change weekly.

A practical database record can include:

Original URL
Extracted title
Extracted description
Word count from contentText
Primary image
Author and published time
Last extraction time
Hash of the extracted body for change detection

Once content is normalized, you can build alerts for newly published content, title changes, or unusually long and short articles in a target topic cluster.

2. Topic coverage and content gap analysis

For a content gap workflow, extract the top pages for a query, then compare their body text against your own content. The goal is not to copy text. The goal is to understand which concepts, subtopics, and entities appear repeatedly across ranking pages.

The Article Content Extraction API gives you the clean contentText needed for:

Topic clustering
Entity extraction
Summary generation
Heading and paragraph analysis
Content depth comparison
Editorial briefs

Pair this with Search Visibility API when you also need to understand how visible a URL or query group is in search.

3. AI and knowledge-base ingestion

Large language model workflows perform better when the input text is clean. Instead of sending full page HTML into an AI step, extract the article first and pass title, description, and contentText into your prompt.

For example:

{
  "title": "Example article title",
  "description": "A short page description",
  "contentText": "Readable article body..."
}

This helps reduce prompt noise, avoids navigation text, and makes outputs easier to audit.

4. Editorial QA

Content teams can use extracted article records to check whether a published page has the expected title, description, author, publish date, and hero image. That makes the API useful not only for external research, but also for internal publishing checks.

Common QA checks include:

Missing title
Missing meta description
Missing primary image
Very short body text
Missing author
Missing publication date
Page content changed after approval

Choosing between related URL APIs

GuGuData has several URL-focused website tools. Use the extraction endpoint that matches your output.

Need	Recommended API
Clean article metadata and body text	Article Content Extraction API
Article image candidates only	Extract Images from Article URL API
Page converted to Markdown	Convert URL to Markdown
Prompt-based structured fields	Extract Structured JSON from Webpage
Browser-rendered HTML	Fetch Rendered HTML from URL
Page screenshot or visual QA	Webpage Screenshot Capture
Technical SEO scoring	PageSpeed and SEO Score API

Use Article Content Extraction when the source is an article and the target is a reusable content record. Use URL to Markdown when the result will be read by humans or stored in documentation. Use URL to JSON when your use case needs custom fields that are not fixed in the article parser response.

Implementation notes

Validate URLs before sending them to the API.
Store both the source URL and extraction timestamp.
Do not assume every public URL is an article. Some pages may return limited content.
Keep retries conservative because external sites can be slow or temporarily unavailable.
Store contentText for search and analysis, and store content only when your workflow needs readable HTML.
Use images for downstream media analysis, but choose image when you only need the primary candidate.
Keep appkey on the backend. Do not expose it in browser-side code.

HTTP status handling

HTTP status	Meaning	Recommended handling
`200`	Article content extracted.	Parse `data` and store the fields your workflow needs.
`400`	Missing or invalid URL.	Validate URL format and request body.
`401`	Missing or unknown application key.	Check your `appkey`.
`403`	Access or payment issue.	Check subscription and endpoint access.
`429`	Rate limit reached.	Reduce concurrency or retry later.
`503`	Target page or extraction service unavailable.	Retry later and keep the failed URL for review.

FAQ

Is this a crawler?

No. This endpoint extracts content from a URL you provide. Your application should still manage its own URL list, queue, scheduling, and retry rules.

Can I use it for every page on a site?

Use it for article-like pages where title, body text, metadata, and image candidates matter. For broad site audits, combine it with URL discovery, link extraction, and technical SEO checks.

Does it return both HTML and text?

Yes. content provides readable article HTML, while contentText provides plain text for search, indexing, classification, or AI workflows.

How is this different from URL to Markdown?

Article Content Extraction returns a structured article object. URL to Markdown returns a Markdown representation of the page. Use the article API for structured data and URL to Markdown for portable readable documents.

Related GuGuData APIs

Extract Images from Article URL API: extract article image candidates with normalized URLs and alt text.
PageSpeed and SEO Score API: check performance, SEO, accessibility, and best-practice signals.
Search Visibility API: monitor search visibility signals for SEO workflows.
Convert URL to Markdown: convert a page into Markdown for knowledge-base and AI ingestion.
Extract Structured JSON from Webpage: extract custom fields from a webpage using a structured prompt workflow.

For more website and SEO APIs, visit GuGuData.

城市出行天气组件功能需求文档

GuGuData — Wed, 08 Jul 2026 04:17:45 +0000

所属分类：天气/空气质量

产品案例页：https://engineering.gugudata.com/products/weather/travel-weather-widget/

产品定位与截图范围

城市出行天气组件属于天气/空气质量场景，面向网站和应用嵌入的出行天气组件管理台，截图重点是组件列表、组件配置、样式设置、数据源配置、权限设置、预览、组件代码、组件库、数据面板和发布管理。这篇 PRD 只描述当前截图对应产品，页面目标是让业务方先理解这套界面的使用价值，再通过下方关联接口判断数据能力是否覆盖自己的项目。

目标用户与业务场景

主要用户包括：

出行产品运营
网站管理员
前端集成人员
城市服务运营
API 管理员

截图可见信息组织

顶部导航和一级模块包括：

组件管理
数据监控
模板管理
发布管理
使用统计
API 管理
系统设置

左侧区域需求：左侧组件列表按城市组件和路线组件展示组件名称、城市、状态和更新时间，支持分组管理国内城市、热门旅游城市和国际城市。

主工作区需求：中间编辑区展示当前组件名称、状态、ID 和版本，配置项包括城市、默认定位、单位制、显示模块、出行指数、刷新设置和其他设置。预览区展示桌面端天气组件，包含当前天气、空气质量、小时预报、出行指数、日出日落、天气预警和未来趋势。

右侧与辅助区需求：右侧数据面板展示实时天气、空气质量、天气预警和数据更新状态；组件代码区提供可复制到页面的嵌入代码；顶部支持刷新数据、数据配置检查和发布组件。

核心功能需求

对象管理：系统应提供清晰的对象列表或对象树，支持搜索、筛选、分组、状态区分和批量操作。对象行需要展示足够的业务字段，让用户不进入详情也能判断当前对象是否值得处理。
主任务处理：系统应把截图中的高频动作放在主操作区，减少用户在菜单中查找功能的时间。对于需要批量处理的场景，页面要展示任务状态、进度、成功失败数量和可恢复操作；对于查询分析类场景，页面要展示筛选条件、结果表和关键指标。
结果核对：右侧或下方结果区应展示用户最关心的结果摘要、质量、详情、来源或导出入口。结果需要能被复制、下载、导出、继续分析或进入下一步流程。若存在失败、异常或低质量结果，应以业务语言说明原因，并提供重试、修改、忽略或查看详情。
记录沉淀：系统应保留任务记录、操作记录、历史结果或最近使用记录。用户需要能够回溯某一批数据的处理时间、处理人、输入对象、输出结果和当前状态，便于团队协作和交付复盘。
配置复用：当截图中出现模板、规则、字段、样式、系统设置或数据源配置时，产品应允许团队沉淀常用方案。配置项应使用业务名称描述，避免让用户理解无关参数。

主要操作流程

新建或导入城市天气组件
选择城市、定位方式和显示模块
配置出行指数、刷新频率和数据来源展示
在预览区核对桌面端效果
复制组件代码或发布组件

数据与结果展示

该系统需要重点输出：

天气组件预览
嵌入代码
实时天气数据
空气质量数据
天气预警
组件发布状态
使用统计

接口调用蓝图

业务步骤	接口名称	接口文档	请求地址	关键入参	关键出参	传参关系
天气预报	全国天气预报信息	weatherinfo	`GET https://api.gugudata.com/weather/weatherinfo`	`appkey* (query)`、`code* (query)`、`days (query)`	天气、温度、风力、日期	行政区代码写入 `code`，`days` 控制预报天数。
空气质量	全国城市实时空气质量指数	airquality	`GET https://api.gugudata.com/Weather/AirQuality`	`appkey* (query)`、`city* (query)`	AQI、PM2.5、首要污染物	城市名称写入 `city`，结果进入空气质量卡片。
农历节气	农历与二十四节气	lunarcalendar	`GET https://api.gugudata.com/weather/lunarcalendar`	`appkey* (query)`、`date* (query)`	农历日期、节气信息	日期写入 `date`，用于日历说明。
日出日落	日出与日落时间	sunrisesunset	`GET https://api.gugudata.com/weather/sunriseandsunset`	`appkey* (query)`、`city* (query)`、`date* (query)`	日出、日落和天文时间	城市与日期写入 `city`、`date`，结果进入时间模块。

参数流转说明

组件入口通常只有城市和日期。城市先映射到天气接口需要的 code，同时保留城市名称给空气质量和日出日落；当前日期传给农历和日出日落接口。所有结果需要压缩为摘要视图，展开后再展示更多字段。

体验要求与验收标准

截图功能验收清单

关于 GuGuData Engineering 产品案例

更多产品案例请访问 GuGuData Engineering 产品案例。

天气空气质量看板功能需求文档

GuGuData — Wed, 08 Jul 2026 04:17:01 +0000

所属分类：天气/空气质量

产品案例页：https://engineering.gugudata.com/products/weather/weather-air-dashboard/

产品定位与截图范围

天气空气质量看板属于天气/空气质量场景，面向城市运营和实时监测的天气空气质量看板，截图重点是监测城市、全国 AQI 地图、城市实况、天气空气质量、小时预报、日出日落、农历节气、预警和资料来源。这篇 PRD 只描述当前截图对应产品，页面目标是让业务方先理解这套界面的使用价值，再通过下方关联接口判断数据能力是否覆盖自己的项目。

目标用户与业务场景

主要用户包括：

城市运营人员
出行产品运营
环境监测人员
数据看板管理员
客服服务人员

截图可见信息组织

顶部导航和一级模块包括：

实时看板
城市对比
历史数据
预警中心
气象图层
数据服务
系统设置

左侧区域需求：左侧监测城市列表展示城市、天气图标、AQI 和温度，支持全部、关注和预警筛选，并显示更新状态、数据来源、更新频率和数据状态。

主工作区需求：中间地图展示全国空气质量分布，支持按 AQI 图层观察优、良、轻度、中度、重度、严重等级的站点数量。下方城市实况表展示天气、温度、体感、湿度、风向、风力、降水、AQI、PM2.5、PM10 和更新时间。

右侧与辅助区需求：右侧城市详情展示实时天气、温度、风向风力、气压、能见度、紫外线、空气质量指标、小时预报、日出日落、农历节气和资料来源。顶部支持刷新数据、导出看板、订阅预警和更多工具。

核心功能需求

对象管理：系统应提供清晰的对象列表或对象树，支持搜索、筛选、分组、状态区分和批量操作。对象行需要展示足够的业务字段，让用户不进入详情也能判断当前对象是否值得处理。
主任务处理：系统应把截图中的高频动作放在主操作区，减少用户在菜单中查找功能的时间。对于需要批量处理的场景，页面要展示任务状态、进度、成功失败数量和可恢复操作；对于查询分析类场景，页面要展示筛选条件、结果表和关键指标。
结果核对：右侧或下方结果区应展示用户最关心的结果摘要、质量、详情、来源或导出入口。结果需要能被复制、下载、导出、继续分析或进入下一步流程。若存在失败、异常或低质量结果，应以业务语言说明原因，并提供重试、修改、忽略或查看详情。
记录沉淀：系统应保留任务记录、操作记录、历史结果或最近使用记录。用户需要能够回溯某一批数据的处理时间、处理人、输入对象、输出结果和当前状态，便于团队协作和交付复盘。
配置复用：当截图中出现模板、规则、字段、样式、系统设置或数据源配置时，产品应允许团队沉淀常用方案。配置项应使用业务名称描述，避免让用户理解无关参数。

主要操作流程

选择或关注监测城市
查看全国 AQI 地图和城市列表
进入城市详情了解天气、空气质量和预警
按城市对比或历史数据分析趋势
导出看板或订阅异常预警

数据与结果展示

该系统需要重点输出：

实时天气
空气质量指标
AQI 地图
小时预报
日出日落
农历节气
城市实况表
预警信息

接口调用蓝图

业务步骤	接口名称	接口文档	请求地址	关键入参	关键出参	传参关系
天气预报	全国天气预报信息	weatherinfo	`GET https://api.gugudata.com/weather/weatherinfo`	`appkey* (query)`、`code* (query)`、`days (query)`	天气、温度、风力、日期	行政区代码写入 `code`，`days` 控制预报天数。
空气质量	全国城市实时空气质量指数	airquality	`GET https://api.gugudata.com/Weather/AirQuality`	`appkey* (query)`、`city* (query)`	AQI、PM2.5、首要污染物	城市名称写入 `city`，结果进入空气质量卡片。
农历节气	农历与二十四节气	lunarcalendar	`GET https://api.gugudata.com/weather/lunarcalendar`	`appkey* (query)`、`date* (query)`	农历日期、节气信息	日期写入 `date`，用于日历说明。
日出日落	日出与日落时间	sunrisesunset	`GET https://api.gugudata.com/weather/sunriseandsunset`	`appkey* (query)`、`city* (query)`、`date* (query)`	日出、日落和天文时间	城市与日期写入 `city`、`date`，结果进入时间模块。

参数流转说明

天气看板把城市和日期拆成两组参数。城市行政区代码用于天气预报，城市名称用于空气质量和日出日落，日期用于农历和日出日落。页面需要把同一城市、同一天的天气、空气和时间信息放在同一行或同一卡组中，避免用户误读。

体验要求与验收标准

截图功能验收清单

关于 GuGuData Engineering 产品案例

更多产品案例请访问 GuGuData Engineering 产品案例。