Web Content Extraction APIs for Data Pipelines

Web Content Extraction APIs: Turn URLs into Readable Data, JSON, Links, and Screenshots

Many developer workflows start with a URL. The next step may be extracting readable article text, converting a page to Markdown, collecting links, capturing a screenshot, or checking website metadata before storing a record.

GuGuData website tools APIs provide URL-focused endpoints that help developers turn web pages and domains into structured outputs for products, data pipelines, and internal automation.

API lineup

Workflow	Method	Endpoint	Detail page
Readable content extraction	POST	/v1/websitetools/readability	Webpage Readable Content Extraction
URL to HTML	POST	/v1/websitetools/url2html	Fetch Rendered HTML from URL
URL to Markdown	POST	/v1/websitetools/url2markdown	Convert URL to Markdown
URL to structured JSON	POST	/v1/websitetools/url2json	Extract Structured JSON from Webpage
URL to links	POST	/v1/websitetools/url2links	Extract Links from URL
URL screenshot	POST	/v1/websitetools/url2snapshot	Webpage Screenshot Capture
URL to image	POST	/v1/websitetools/url2image	Convert URL to Image
URL to static file	POST	/v1/websitetools/url2html	URL to Static File
Favicon lookup	GET	/v1/websitetools/favicon	Website Favicon Extraction
DNS lookup	GET	/v1/websitetools/dns-lookup	Domain DNS Information Query
SSL certificate info	GET	/v1/websitetools/sslcertinfo	Domain SSL Certificate Information Parsing
WHOIS lookup	GET	/v1/websitetools/whois	Domain WHOIS Information Lookup

The public OpenAPI JSON is available at https://gugudata.io/assets/openapi/gugudata.openapi.3.1.json.

When to use these APIs

• Build article ingestion pipelines that need readable page content.
• Convert web pages into Markdown for knowledge bases, AI workflows, or archival systems.
• Extract structured JSON from pages using a prompt-driven workflow.
• Capture page screenshots for review, monitoring, or visual records.
• Audit domain metadata such as DNS records, SSL certificates, favicon, or WHOIS data.
• Normalize URL processing behind one server-side integration layer.

Choosing the right endpoint

Use readability extraction when your goal is the main article body. Use URL to Markdown when the output needs to be readable, portable, and friendly to documentation or AI workflows.

Use URL to JSON when the page has fields you want to extract into a structured shape. Use URL to links when you need discovery, crawling, or link inventory.

Use screenshot and image endpoints when the visual state of the page matters. Use DNS, SSL, favicon, and WHOIS endpoints when the domain itself is the target.

Example request

curl -X POST "https://api.gugudata.io/v1/websitetools/url2json?appkey=YOUR_APPKEY" \
  -H "Content-Type: application/json" \
  -d '
{
  "url": "https://example.com/article",
  "prompt": "Extract the article title, author, published date, and a short summary."
}
'

Response handling

Most website tools return standard JSON responses with dataStatus and data. The exact data shape depends on the endpoint.

{
  "dataStatus": {
    "statusCode": 200,
    "status": "SUCCESS",
    "statusDescription": "successfully",
    "responseDateTime": "2026-04-29T00:00:00Z",
    "dataTotalCount": 1,
    "requestParameter": ""
  },
  "data": {
    "title": "Example article",
    "summary": "Short extracted summary"
  }
}

For URL workflows, store the original URL, request time, and endpoint name with the result. This makes retries, audits, and freshness checks easier.

HTTP status codes

HTTP status	Meaning	Recommended handling
200	Request processed successfully.	Parse the documented response body for the endpoint result.
400	Invalid request parameters or request format.	Check URL format, prompt content, and request body structure.
401	Missing or unknown application key.	Send a valid appkey with the request.
403	The application key is recognized but access is not allowed.	Check subscription, trial state, and endpoint access.
429	Request rate or trial usage limit exceeded.	Reduce concurrency or retry after the limit window resets.
500	Internal service error.	Retry later or contact support if the error persists.
503	Upstream service unavailable.	Retry later when the dependency is available again.

Implementation notes

• Validate and normalize URLs before calling extraction endpoints.
• Keep URL processing on the backend so credentials and retry behavior remain controlled.
• Add timeouts around downstream workflows because external pages can be slow or unavailable.
• Store extraction metadata so results can be refreshed without losing the original request context.
• Use demo endpoints for quick checks, then move to authenticated production endpoints.

FAQ

Which endpoint should I use for AI ingestion?

Use Convert URL to Markdown when readable text is enough. Use Extract Structured JSON from Webpage when you need specific fields.

Should I crawl large sites directly from these endpoints?

Use controlled queues and rate limits. URL processing depends on external pages, so retries and concurrency limits should be explicit in your own system.

Can I combine metadata checks with content extraction?

Yes. For example, you can check DNS or SSL metadata before extracting page content, then store both the domain-level record and the page-level output.

For more developer APIs, visit GuGuData.