DEV Community: Jelena Smiljkovic

Which AI Models Are Actually Good for Coding and Building Apps

Jelena Smiljkovic — Fri, 13 Feb 2026 09:44:53 +0000

If you are coding, building apps, or shipping features with AI, the real question is not which model is the smartest.
It is which model actually works well in real development workflows.

Because coding with AI is rarely a one-shot task.
It usually looks like this: read code, understand context, debug, refactor, test, and iterate. Over and over.

And that loop is where model differences become very obvious.

What coding tools actually need from an AI model

When you are building real apps, the model is not just generating functions. It is helping with:

debugging errors
explaining unfamiliar code
refactoring across files
generating tests
reading documentation
iterating on features

Benchmarks like HumanEval measure code correctness in controlled environments, but real coding involves multi-step reasoning and long context, which is harder to simulate in isolated tests.

This is why a model that looks strong on paper can still feel unreliable inside real projects.

Not all coding models behave the same in real workflows

Some models are tuned for deep reasoning.
Others are optimized for faster iteration and practical coding support.

In real development environments, three factors usually matter more than raw intelligence:

context handling
response speed
consistency across iterations

If a model loses track of earlier instructions, rewrites working code unnecessarily, or struggles with long files, it quickly becomes frustrating to use during actual development.

Coding-focused models vs general reasoning models

For everyday coding and app building, coding-specialized models tend to perform more consistently. They are better at:

structured code generation
following formatting rules
understanding project structure
maintaining logic across edits

For example, models like Qwen3-Coder-Next are built specifically for development tasks and offer large context support, which is useful when working with longer files, repositories, or documentation-heavy projects.

This makes them a practical choice for:

building SaaS features
generating backend logic
writing APIs
refactoring modules
reviewing pull requests

For a full breakdown of its coding capabilities and context specs, read here: https://automatio.ai/models/qwen3-coder-next

When stronger reasoning models help during app development

There are moments during development where deeper reasoning matters more than speed. Especially when:

debugging complex issues
planning architecture
solving edge-case logic
handling multi-step coding tasks

Frontier coding agents like GPT-5.3 Codex are designed for these longer reasoning chains and structured problem solving, which can be useful when building more complex systems or handling large refactors.

Instead of just generating snippets, these models can assist with planning fixes and iterating through multiple debugging steps.

To see the detailed model overview and technical specs, check here: https://automatio.ai/models/gpt-5-3-codex

What actually breaks when the model is not suited for coding

This is something many developers only realize after using AI in real projects.

Common issues include:

losing context between files
inconsistent edits across iterations
ignoring logs or error traces
slow responses during debugging
unnecessary code rewrites

A model may be highly intelligent but still inefficient if it cannot maintain stable context or respond quickly during iterative development loops.

In real coding workflows, developers rarely ask one perfect prompt. They refine, test, and adjust continuously. Models that handle long context and fast iteration make this process significantly smoother.

Cost and latency matter more than most developers expect

When building apps, the AI model is not used once.
It is used dozens or hundreds of times during development and inside production features.

Research on LLM inference economics shows that larger models require significantly more computational resources, which can increase latency and operational costs in real applications.

This is why many developers prefer efficient coding models for daily usage and reserve heavier models for more complex tasks.

A realistic setup for developers building apps with AI

If you are:

building SaaS products
creating developer tools
shipping AI-powered features
coding daily with AI assistance

A practical approach is to use a coding-optimized model as your main assistant, since it offers faster iteration, stable context handling, and lower cost per task.

Stronger reasoning models can still be useful, but mainly for complex debugging, architecture planning, or edge-case problem solving where deeper analysis is required.

Final thoughts

There is no single “best” AI model for coding and building apps.
There is only the model that fits your workflow.

For most real-world development, the winning model is the one that stays consistent across iterations, handles long context reliably, and responds fast enough to keep your coding flow uninterrupted. Developers who focus on practical performance instead of just benchmark scores usually end up with tools that are faster, more stable, and far more useful in daily app development.

Testing Automatio’s New AI Features on Voting Polls

Jelena Smiljkovic — Sat, 06 Dec 2025 11:21:32 +0000

We’ve been upgrading Automatio with a new AI-driven automation layer, and online polls became one of the first testing playgrounds. Poll interfaces are a clean way to evaluate how well an AI agent handles dynamic UIs. Voting flows require element detection, consistent interaction, session control and repeatability, which reveals very quickly how stable the agent is inside the browser.

A lot of people have been using Automatio for voting for years. School competitions, team challenges, community polls, it’s one of the most common things people automate. So when we started working on the new AI feature, testing it on real voting workflows was the obvious choice.

Automatio now includes an AI-powered way to automate poll voting, and it’s much easier than setting up a traditional bot. Instead of building actions step by step, you just talk to it like you would talk to ChatGPT. You tell it what you want, and it takes care of the whole process.

For example, you can say something like: “Go to this poll and vote for option three fifty times.” If it needs anything else, it asks you. You give it the link or the exact option, and it runs the workflow on its own.

The old builder is still available and people rely on it, but the new AI version speeds things up in a way that’s hard to ignore. It’s clean, simple and easy to control, and users picked it up immediately.

If you want to see the workflows in action, I wrote two breakdowns for the most requested platforms. Here is the one for StrawPoll voting, and here is the one for Poll.fm.

Polls turned out to be a great stress test because people use them in all kinds of real scenarios. School competitions, team challenges, and small community events all come with tight timing and high expectations.

What made this upgrade interesting was how fast everything moved. Someone would show up with a poll site we didn’t support yet, and we’d jump straight into fixing and updating it. If a bug popped up, we pushed a fix right away. It became this constant loop of new cases, quick improvements and immediate results. And honestly, it was fun watching people use it in real time. You’d see the poll numbers go up and know the updates we just made were giving them a real shot at winning.

Voting was just the first use case that made everything click. The next phase will cover much more than polls, and that’s where things get really interesting.

Building a Small AI Tool for Twitter

Jelena Smiljkovic — Sat, 15 Nov 2025 12:12:54 +0000

Lately, my team has been experimenting a lot with different AI tools, things like V0, Claude, rapid prototyping setups, and all these new playgrounds that make it fun to test and build ideas quickly. We work with automation every day, so it’s normal that we spin up random concepts, test them, break them, fix them, and sometimes they grow into something worth sharing.

One thing we noticed recently was Twitter follower quality. The follower number looks big, but the engagement doesn’t match it. And honestly, Twitter in 2025 is full of inactive profiles, bots, random spam accounts, and old-niche leftovers that still follow you even though they aren’t relevant anymore.
It’s normal, but it affects how your content performs, and cleaning it manually takes forever.

So we decided to experiment a bit:
Can AI help detect low-quality followers and make cleanup easier?

That experiment turned into a tool we’re currently shaping and improving. It analyzes followers with an AI-driven scoring system, detects suspicious or inactive accounts, and lets you clean your audience in a much simpler, more direct way.

I explained everything in more detail here: https://automatio.ai/blog/remove-twitter-followers/

I’m excited about this project and curious to see how far we can take it. We built it because it solved a real problem for us, and when something helps you in a practical way, there’s a good chance it will help others too.

Let’s see where it goes.

Inside AI Interview Practice: The Tech Behind It

Jelena Smiljkovic — Fri, 03 Oct 2025 10:32:20 +0000

Interviews are always stressful, but behind the scenes a quieter revolution is happening. AI mock interview tools are increasingly common, not because they’re gimmicks, but because their tech stack is catching up.

Let’s dig into how these simulators are built, what makes them tick, and then see how they’re used across different fields: dev, design, med school, job prep, etc.

The Engine Under the Hood

These tools combine several AI and system components. Understanding them gives you insight as a dev and maybe inspiration to build one someday.

1. Large Language Models (LLMs) for Dynamic Q&A
The heart of the simulator is usually an LLM, for example GPT, Claude, or custom fine-tuned models. The LLM handles question generation, follow-up prompts, branching based on responses. It allows the interview to feel alive, adapting as you answer.

Researchers testing a multimodal AI mock interview system found that participants viewed it as realistic and helpful, especially for articulating their problem-solving steps.

2. Natural Language Understanding & Analysis
Once you speak or type your answer, the system uses NLP to parse it. It detects filler words, checks sentence structure, clarity, logical flow, sentiment, and so on. Some models are even evaluated on how well they score your response compared to human benchmarks.

A recent study compared pre-trained LLMs (GPT-4 Turbo, GPT-3.5, etc.) on HR interview transcript scoring, and found they approach expert human evaluators, though they sometimes miss fine-grained improvement suggestions.

3. Speech-to-Text + Transcription Pipelines
If the simulator is voice-based, speech recognition turns your spoken answers into text. This text is fed to the NLP/LLM layers for analysis. Some systems even combine real-time voice feedback with transcripts.

4. Scoring & Feedback Algorithms
Once the model has a transcript + parsed meaning, it runs internal scoring: matching your answer against expected competencies (communication, reasoning, domain knowledge). Then it spits back feedback: what was strong, what could be clearer, how to tighten structure.

In one empirical study in China, ~79.9% of students recognized the effectiveness of AI mock interviews in improving their sense of employability.

5. Adaptive & Context-aware Logic
Advanced systems use retrieval-augmented generation (RAG) or memory to personalize the experience. For example: they store your previous answers, resume/job description context, and adapt subsequent questions accordingly. Some simulators can even mirror a company’s style or interview structure based on job description.

6. Multimodal & UX / Simulation Interfaces
Some platforms layer on UI, timing constraints, video, role-playing “interviewer personas,” or even virtual avatars. The idea is to recreate the interpersonal pressure, body language cues, pacing, and environment you’ll face in real interviews.

How it Works in Practice: A Mini Walkthrough

Here’s a simplified flow of how a dev-focused AI mock interview might run:

You input your resume or target role (e.g. “Backend engineer, microservices”).
The system uses that to seed context (skills, expected topics).
The LLM asks coding or system-design questions.
You answer verbally or via text.
Speech-to-text converts it (if voice).
NLP analyzes structure, clarity, logic, filler words.
The scoring engine compares your answer to ideal markers (e.g. clarity, depth, data, trade-offs).
The system gives you feedback: You drifted from point B, try restructuring this, slow down, etc.
Based on your answer, it may follow up (“Why did you choose X over Y?”) or branch.
It logs all responses to let you review transcripts, see patterns, and track improvement.

Because of adaptive logic and stored context, each session can get more targeted to your weaknesses.

Examples Across Fields

These simulators aren’t limited to one industry. Here’s how the same tech shows up in different domains:

Developers and technical roles
For developers, AI simulators can run coding interviews, system design questions, and even follow up if your answer is incomplete. The adaptive logic makes it feel closer to a real session, since the AI reacts to how you explain your reasoning. Google Interview Warmup is a good example. It uses natural language processing to highlight filler words, check clarity, and show how well you structure your explanations.

Designers and creative fields

For designers, the challenge is not only showing a portfolio but explaining design choices clearly. AI simulators recreate that pressure by asking you to walk through projects and then justify decisions. MockMate is one of the tools emerging here. It simulates portfolio and design interviews and gives feedback on how you present your work.

Students and scholarship applicants
For students preparing for admission or scholarship interviews, AI simulators create a safe space to practice and reduce the stress of facing a panel for the first time. Some platforms are general, but others adapt to specific programs and requirements. One example is Confetto, which focuses on medical school applicants. It offers a library of school-specific prompts, from ethical dilemmas to regional healthcare challenges. Inside its AI interview room, candidates experience timed sessions, follow-up questions, and realistic interview pacing. Every session ends with detailed scoring, transcripts, and competency-based feedback, making it clear where a student is improving and where more work is needed.

Looking Ahead

What’s interesting isn’t just that these tools exist, but how quickly people are starting to trust them. A few years ago, the idea of preparing for a career-changing interview with an algorithm would have sounded strange. Now it feels almost natural.

The bigger question might not be if people will use them, but how much we’ll rely on them. Will practicing with AI make candidates sharper and more confident, or could it also shape the way interviews themselves are conducted? If admissions boards and recruiters know applicants are training with AI, it could change what “being prepared” even means.

Stop Planning, Start Building

Jelena Smiljkovic — Mon, 02 Jun 2025 09:28:33 +0000

We often get stuck in planning.

Trying to map every step, choose the perfect tech stack, and predict the outcome before writing a single line of code. But sometimes, the best approach is: just build. No pitch deck, no Notion doc, no grand vision. Just open your editor and make something.

It doesn’t have to solve a huge problem.
It doesn’t have to make money.
It just has to exist.

Because once you start building, real insights show up. You hit roadblocks, and that’s where problem-solving begins. You experiment, fail, try again, and without even realizing it, you're learning.

This mindset shift, from building with pressure to building with curiosity, can be a game-changer. Especially if you’ve been burned out by “always shipping” or working only on things with ROI.

If you're into creative workflows, project-based learning, or hands-on problem-solving techniques, this drop breaks it down in a super practical way: https://candevsdosomething.com/p/building-for-fun-a-creative-approach-to-problem-solving-9264

SOTA Models for Web Devs: Practical Use Cases

Jelena Smiljkovic — Sun, 13 Apr 2025 12:47:15 +0000

You've likely encountered discussions about state-of-the-art (SOTA) AI models. If you're curious about what SOTA is and how it works, check out this article.

The examples I’m sharing below are just starting points to give you an idea of how SOTA models can fit into your web development workflow. They’re simple directions to help you get started, but if you really want to get the most out of these tools, I’d suggest exploring more advanced use cases on your own.

1. OpenAI's GPT-3.5 & GPT-4 (Think of it as a Quick Code Helper):

If you need to create the basic structure for a website contact form, instead of writing all the HTML for the labels, input fields (like name, email, message), and the submit button from scratch, you can tell GPT-3.5 or GPT-4 something like: "Create the HTML for a simple contact form with fields for name, email, and a text area for the message, include labels for each, and a submit button." It can then generate that basic HTML structure for you in seconds, saving you the initial typing. Similarly, if you encounter a JavaScript error in your browser's console, instead of spending a lot of time trying to figure out the cause, you can paste the error message and the line of code where it occurred into the AI and ask, "What does this JavaScript error mean and what could be causing it?" It might give you a few common reasons and suggest things to check in your code.

2. Anthropic's Claude (For Understanding and Explaining Code):

Imagine you've inherited a project with a complex JavaScript function that handles user authentication, and it's not well-documented. Instead of spending hours tracing through the code, you could give Claude the entire function and ask, "Explain what this JavaScript function does in simple terms." Claude can then break down the logic step by step, explaining the different parts of the authentication process. Another example: if you need to explain to a client how the website's new image optimization feature works, you could provide Claude with the technical details and ask it to "Explain this image optimization process in a few short sentences that a non-technical person can understand."

3. Google DeepMind's AlphaDev (Behind the Scenes Performance):

You don't directly use AlphaDev, but think of it this way: when the JavaScript engine in your browser or the Node.js runtime you use on the backend gets updated, it might include more efficient ways of sorting lists or handling data structures – improvements that could have originated from research like AlphaDev's. So, by simply keeping your browser updated or using the latest stable version of Node.js, your web applications can benefit from these under-the-hood performance enhancements without you needing to write any different code.

4. Open-source Models like AutoGPT (Your Automation Assistant):

Let's say you're starting a new React project and need to look up the best practices for folder structure and component organization in 2025. You could instruct AutoGPT with a goal like: "Research the recommended folder structure and component organization patterns for a medium-sized React application in 2025. Provide a summary of the top 3 approaches and links to relevant articles." AutoGPT would then autonomously browse the web, gather information, and present you with a summary, saving you the time of manually searching and compiling this information yourself.

5. Google's Gemini Models (Especially 2.5 Flash) (For Tough Problems):

Suppose you're experiencing significant performance issues on a complex single-page application built with a modern framework like Vue.js, and you're not sure where the bottleneck is. You could provide Gemini with performance profiling data (like output from your browser's developer tools) and relevant sections of your Vue.js component code, then ask, "Based on this performance data and component logic, what are the most likely causes of the performance issues and what are some potential optimization strategies I could try in Vue.js?" Gemini's advanced reasoning could help you pinpoint areas in your code or architecture that need attention and suggest specific ways to improve performance.

So, are you already using some of these in your dev workflow? I'd love to hear how you're using them or what tasks you think they could help with.

Drop your thoughts or examples in the comments.

The SEO Foundations Every Developer Should Keep in Mind

Jelena Smiljkovic — Mon, 07 Apr 2025 11:45:44 +0000

As developers, our main goal is to deliver a functional, fast, and visually solid website. But there’s something else I’ve learned to keep in mind over the years. Something that isn’t always in the project brief explicitly but matters to the people we’re building for:

Growth.

From a client’s perspective, they’re not just investing in a site, they’re investing in visibility. They want that site to show up, get found, and support their business. And for that to happen, the website needs a proper SEO foundation from day one.

That part? A lot of it is still in our hands.

So what exactly should we still pay attention to in 2025 when it comes to on-site SEO?

Proper HTML Structure: Use one <h1> tag per page for the main title, and organize other sections with <h2>, <h3>, etc. This improves content clarity for users and helps search engines understand your page structure.

Fast Load Times: Speed really matters. Slow sites lead to higher bounce rates. Compress images, reduce unnecessary scripts, and use browser caching to improve performance. Tools like PageSpeed Insights can give you a clear list of issues and suggestions to fix them.

Mobile-first design: Because most people (over 62%) now go online using their phones, building websites with phones in mind is the normal way to do it. Google has also changed how they rank websites, now paying closest attention to the phone version. That means we should focus on making websites look clean, load quickly, and be easy to use with your fingers.

Crawlability: Make sure that search engine bots can crawl the site. Proper use of the robots.txt file, a well-structured sitemap, and fixing broken links result in better indexing and visibility in search results.

Structured Data (Schema Markup): Adding structured data helps search engines understand the content and context of your pages, enabling rich snippets in search results. For example, marking up product pages with schema can display price, availability, and reviews directly in search listings (Google for Developers).

Meta Titles and Descriptions: Make sure every page has a unique and relevant meta title and meta description. These show up in search results and influence rankings and click-through rates. Don’t leave them blank or duplicated.

Voice Search Readiness: With more people using voice assistants, it helps to format parts of your content in a question-and-answer style. Keep language natural, especially for headings and FAQs, so it matches how real people ask questions out loud.

Of course, this is just one part of the picture.

With 13+ years in the web space and having co-founded a few projects, I understand the role of off-site SEO as well, including backlinks, digital PR, and content marketing. That's why I always offer clients some extra guidance on "what next". If they don’t have someone who is handling that side, I suggest them a reliable SEO company I trust.

So, even when **SEO **isn’t directly requested, I think we still have a responsibility to make sure the site has a solid starting point.

I'm interested to hear how you all typically navigate on-site SEO, especially those elements that often are outside of the initial scope.

I’m especially curious about things like structured data. Are you keeping up with it? Do you add it? Or do you skip it unless someone asks? Same for voice search, it’s one of those newer areas that barely gets mentioned, but I’m wondering if devs are paying attention and learning this stuff on their own.

It might be extra work sometimes, but getting the on-site SEO right helps the sites we build do something.

No-code web scrapers - the ultimate list

Jelena Smiljkovic — Mon, 20 Sep 2021 17:41:04 +0000

I originally published this post to Automatio.co

Here you will find the ultimate list of web automation and data scraping tools for technical and non-technical people who wants to collect information from a website without hiring a developer or writing a code.

But before we dive into the list, let's talk a bit about web scraping.

What is web scraping?

Web scraping also called web data extraction is an automated process of collecting publicly available information from a website. This is done with different tools that simulate the human behavior of web surfing. The data gets exported into a standardized format that is more useful for the user such as a CSV, JSON, Spreadsheet, or an API.

Web scraping could be useful for a large number of different industries, such as: Information Technology and Services, Financial Services, Marketing and Advertising, Insurance, Banking, Consulting, Online Media, etc.

It became an important process for businesses that make data-driven decisions. Some of the most common use cases of scraped data for businesses are:

Market research
Price monitoring
SEO monitoring
Machine Learning / AI
Content Marketing
Lead Generation
Competitive Analysis
Reviews scraping
Job board scraping
Social media monitoring
Teaching and research
many more...

As the Internet has grown enormously and more and more businesses rely on data extraction and web automation, the need for scraping tools is increasing.

Let's start with our list.

1. Automatio

website: https://automatio.co/

tags: automatio.co, automatio, no code chrome extension, no code chrome extension builder, nocoding data scraper

Automatio easily handles the boring work so you don't have to. Create a bot to help you accomplish web-based tasks. Extract data, monitor websites, and more without writing a single line of code. Like building blocks, a simple interface lets you create a bot in minutes.

Save a lot of money on development cost
Make a bot in minutes, not in days or weeks
Your bot will run in cloud servers even if you close your browser or shut down your computer. No configuration is required
Deal with complex scenarios where other tools can't
Export data to CSV, Excel, JSON or XML
reCAPTCHA solver
API
Get data behind a log-in
Automatically fill forms

2. Bright Data

website: brightdata.com

tags: luminati, bright data, residential proxy, luminati proxy, residential proxies

Bright Data provides automated web data collection solutions for businesses and is the world’s most reliable proxy network. Collect accurate data from any website, at any scale, and have it delivered to you on autopilot, in the format of your choice.

Automated web data extraction
Rapidly adjusts to new page layouts
Collects web data at any scale
Learns to bypass the latest blocking methods
Frees up resources, saving time, effort, and cost

3. Octoparse

website: https://www.octoparse.com/

tags: octoparse, octoparse download, web scraper, website copier, web scraping software

Octoparse is a cloud-based web data extraction solution that helps users extract relevant information from various types of websites without coding. It enables users from a variety of industries to scrape unstructured data and save it in different formats including Excel, plain text, and HTML.

Point-and-click interface
Deal with all sorts of websites
Cloud extraction
Automatic IP rotation
Schedule extraction
API, CSV, Excel, Database

4. Web Scraper

website: https://webscraper.io/

tags: web scraper, web scraping, web scraping tools, webscraper, website scraper

Web Scraper is a website data extraction tool. You can create a sitemaps that map how the site should be navigated and from which elements data should be extracted. Then you can run the scraper in your browser and download data in CSV.

Point and click interface
Extract data from dynamic websites
Built for the modern web
Modular selector system
Export data in CSV, XLSX and JSON formats

5. ParseHub

website: https://parsehub.com/

tags: parsehub, web scraping, web scraper, scrape amazon product data, parsehub download

Free web scraping tool. Turn any site into a spreadsheet or API. As easy as clicking on the data you want to extract. You don’t need any technical knowledge to get started. Their “quick select” feature figures out exactly how a webpage is structured and groups related pieces of data together for you. All you have to do is open a website and click on the information you want to extract!

Scrapes any interactive website
Easy to Use: no coding required
Extract text, HTML and attributes
Scrape and download images/files
Get data behind a log-in
Download CSV and JSON files
Scheduled runs
Automatic IP rotation

6. Apify

website: https://apify.com/

tags: apify, facebook scraper, web scraper, scraper api, instagram scraping

Apify can automate anything you can do manually in a web browser, and run it at scale. We're your one-stop shop for web scraping, data extraction, and web RPA. It's a software platform that enables forward-thinking companies to leverage the full potential of the web—the largest source of information ever created by humankind.

Automate manual workflows and processes on the web
Crawl websites, extract data from them and export it to Excel, CSV or JSON.
Connect diverse web services and APIs

7. Import.io

website: https://www.import.io/

tags: data analysis, image url, data scraping, web scraping, import io

Import.io is a Web Data Integration (WDI) platform, which allows people to convert unstructured web data into a structured format by extracting, preparing and integrating web data for consumption in analytic platforms or used in business, sales or marketing applications.

Point-and-click training
Interactive workflows
ML auto-suggest
Download images and files
Data behind a login
Easy scheduling

8. ScrapeStorm

website: https://www.scrapestorm.com/

tags: scrapestorm, scrape storm, タウンページスクレイピング, eol while scanning string literal, syntaxerror: eol while scanning string literal

AI-Powered visual website scraper, which can be used to extract data from almost any websites without writing any code. Support all operating systems. The best choice for beginners. No technical setup needed. Built by ex-Google crawler team. Free Download.

Intelligent identification of data, no manual operation required
Visual click operation, easy to use
Multiple data export methods
Powerful, providing enterprise scraping services
Cloud account, convenient and fast
All systems supported, leading technology

9. WebAutomation

website: https://webautomation.io/

tags: just dial extractor, webautomation, web automation.io, justdial data extractor, scrape nuts and bolts of home depot using api data

WebAutomation.io is the largest marketplace to find ready-made no code web scrapers. With only a few clicks and a few seconds you can start extracting data from your favourite site without coding or building from scratch. Scrape product & prices, track and monitor competitors prices.

Scrape with one-click using ready made extractors
Build new extractors with point and click Interface
Get our concierge to build you an extractor
Export data to CSV, Excel, JSON or XML
reCAPTCHA solver
API

10. Listly

website: https://www.listly.io/

tags: listly, listly login, list ly, 리스틀리, web scraper

Listly is a free Chrome Extension to turn Web data into Excel. All you need is just a click. It automatically extracts clean data and arranges them into rows and columns. Listly provides scheduler, e-mail alert for auto web scraping. In addition, the databoard allows you to register thousands of URLs at once and export all into a single spreadsheet with clicks.

Export multiple pages into an excel spreadsheet on databoard
Schedule a daily extraction
Reproduce mouse / keyboard actions to load more data
Select proxy server to change IP address
Extract data from IFRAME
Extract hyperlinks over content
Get e-mail Notification
Upload .html files to fileboard

11. Agenty

website: https://www.agenty.com/

tags: agenty, xml scraper, agenty extension, enterprise web scraping, agenty chrome extension

A very simple & advanced web data scraping extension by Agenty to extract data from websites using point-and-click CSS Selectors with real-time extracted data preview and export data into JSON/CSV/TSV quickly.

Extract any number of fields from a web-page
Use the built-in CSS selector to generate a pattern with one click
Write your own custom CSS selector
Choose the item you want to extract. E.g. TEXT, HTML or ATTR (Attribute)
See the result preview instantly as CSS selector selected
Toggle the position left/right
Export output in most popular file format JSON, CSV or TSV

12. Diffbot

website: https://www.diffbot.com/

tags: diffbot, diffbot terms of service, seed url, crawling api, crawl api

Transform the web into data. Diffbot automates web data extraction from any website using AI, computer vision, and machine learning. Unlike traditional web scraping tools, Diffbot doesn't require any rules to read the content on a page. The result is a website transformed into clean structured data (like JSON or CSV), ready for your application.

Extract structured data from web pages
Crawl and extract entire domains
Query the whole web and enhance your own data

13. Axiom

website: https://axiom.ai/

tags: Browser automation, RPA, No code, automation, LinkedIn, Amazon Seller Central, Shopify, Magento, E-commerce, Data enrichment, Data Entry

Axiom is browser Robotic Process Automation. RPA lets you automate with the UI. Not everyone knows how to code, but everybody knows how to point, click and type on a UI. Axiom enables more people to automate by building automations on a UI without code.

Consolidate data across many web applications
Input data into any web form or web application
Batch download & batch upload files
Extract data from public sites or from behind logins
Interact with any web application, even legacy systems
Read/Write and merge data into spreadsheets
Extract data from behind logins, inside iframes, and nested pages
Google Drive, webhook and Zapier integration

14. Docparser

website: https://docparser.com/

tags: docparser, what is ocr, ocr, pdf to json, extract data from pdf

Docparser identifies and extracts data from Word, PDF and image based documents using Zonal OCR technology, advanced pattern recognition and with the help of anchor keywords. Choose from a selection of Docparser rules templates, or build your own custom document rules.

Smart layout parsing presets
Extract tabular data
Powerful custom parsing rules
Smart filters for invoice processing
Blazing fast processing
OCR support for scanned documents
Powerful image preprocessing
Barcode and QR-code detection
Fetch documents from cloud storage providers

15. Hexomatic

website: https://hexomatic.com/

tags: hexomatic, hexomatic ltd, hexomatic lifetime deal, texau ltd, hexomate

Hexomatic is a no-code, work automation platform that enables you to harness the internet as your own data source, leverage the most sophisticated AI services and a crowdsourced team of human assistants to automate and delegate time consuming tasks. Find new prospects for any industry, discover email or social media profiles, translate content, enrich your leads with tech stack data, get traffic estimates at scale and more. Hexomatic features 30+ ready made automations you can deploy in minutes.

Scrape data from any website
Find 100's of prospects in a few clicks using Google Maps
Monitor Amazon sellers for specific products
Supercharge your SEO backlinks outreach
Create screenshots in bulk for any device size
Perform SEO analysis at scale
Convert images at scale
Translate ad creatives or products at scale

16. ProWebScraper

website: https://prowebscraper.com/

tags: json viewer, website downloader, website copier, download website, captcha solver

ProWebScraper is the most compelling web scraping tool in the market. It’s a point and click functionality to scrape data makes web scraping an effortless exercise. ProWebScraper can scrape 90% of internet websites with its robust features like automatic IP rotation, scraping data from js-rendered websites, and HTML tables.

Point and click selector
Custom selector
Extract data from multiple pages
Chaining
Generate URLs automatically
Download high-quality images
Access data via API

17. Simplescraper

website: https://simplescraper.io/

tags: scraper api, simple scraper, simplescraper, scraper extension, scrapper API

A web scraper that's fast, free and simple to use. Scrape website data and table data in seconds. Simplescraper is designed to be the most simple and most powerful web scraper you've ever used. Run locally in your browser (no need to signup) or create automated scraping recipes that can scrape thousands of web pages and turn them into APIs.

A simple point and click tool to select the data you need
Smart selection that captures table columns as well as urls from links and images
Download in CSV or JSON format
Unlimited free local scraping
Pagination (cloud scraping)
Save scrape jobs so you can run again without having to re-select the data you want (cloud scraping)
Navigate between recipes easily and run multiple scrape jobs simultaneously (cloud scraping)
Historical snapshots of all the data you have downloaded in the past (cloud scraping)
Free cloud scraping starting credits

18. Parsers

website: https://parsers.me/

tags: import products from any website to shopify, imdb api, parsers, scraper parsers, free web scraper

Parsers is a browser extension for extracting structured data from sites and their visualization without code. You need to click on the data on the site and start the process. After the process is over, you can see the analyzed data on the charts and download the structured data in the required format (Excel, xml, csv) or get by API.

Select the necessary data for scraping on the site page in a few clicks
View charts with analyzed data
Download structured data in XLSX, XLS, XML, CSV or get the latest version by API
Schedule scraping start and get updated data every day automatically
View site scraping history and all versions by date

19. Browse AI

website: https://www.browseai.com/

tags: browse ai, automatic browser, web bot automation, automation, automate search on website, chromium browser automation

The easiest way to extract and monitor data from the web and turn any website into an API with no code.

Monitor any webpage for changes
Download data as a spreadsheet
Browse 50+ 1-click automations for popular use cases, or record a custom automation
Extract data from any website as a spreadsheet
Automate data entry on any web-based forms
Create an API for any website that doesn't have a public API.

20. RTILA

website: https://www.rtila.net/

tags: rtila, web automation, browser automation, real-time monitoring, website 2 csv

RTILA is an easy-to-use growth hacking and marketing automation software that can gather and scrape data that you need in almost any website out there. No coding skills are required.

Web browser automation
Real-time data monitoring
Point-and-click interface
Extract multiple pages at once
For Windows & Mac & Linux
Export in CSV, JSON & HTML
Visualized web data selection
Extract data from any site
Preview results in realtime
Bypass anti-scraping systems

21. Dashblock

website: https://www.dashblock.com/

tags: dashblock, website to api, hiplead, built with app, trynow crunchbase

Dashblock software is a platform used to automate processes in testing website and collect data seamlessly. The software uses a Machine Learning tool to create web automation and execute them with an API call. Add variables, send high-level commands, return data, select elements visually and get a visual feedback in real-time. It integrates with Slack and Zapier. Developer, Small and Medium companies make use of the software.

Collect data in real-time
Monitor your competition
Fill forms and book appointments
Automatically checkout products
Download invoices or reports
Generate leads automatically
Test your website

22. Scrape.do

website: https://scrape.do/

tags: free rotating proxy api, scraper proxy api, best proxy for scraping, proxy scrape, scrape proxy

Best Rotating Proxy & Scraping API Alternative You don't need to spend hours to create your own IP rotation rules and pay for different services. Just use scrape-do and only pay for successful requests.

Residential rotating proxies
Geo targeting
Unlimited bandwith

23. Sequentum

website: https://sequentum.com/

tags: sequentum, content grabber, sequentum enterprise, proxy pool, content grabber

Sequentum provides complete control for web data extraction, document management and intelligent process automation (IPA). Our end-to-end platform provides the flexibility to be used in-house or you can outsource your web data extraction needs to our experienced Managed Data Services group. Our tools create software configuration files that define exactly what data to extract, quality control monitors, and output specifications to any format or endpoint

Easy to use point and click interface
Robust API supports easy drop-in to existing data pipelines
Easily integrate third party AI, ML, NLP libraries or APIs for data enrichment
Customization in common coding languages like Python3, C#, Javascript, Regular Expressions
Optional integration with Microsoft or Google identities
Export to any format
Deliver to any endpoint
On-premise, cloud, and hybrid deployment model

24. Data Miner

website: https://dataminer.io/

tags: data miner, dataminer, data miner chrome extension, data miner extension, data miner chrome

Data Miner is a Google Chrome Extension and Edge Browser Extension that helps you crawl and scrape data from web pages and into a CSV file or Excel spreadsheet.

Extract tables & lists
Pages behind login/firewall
Javascript API hooks
Click scraping
Open & scrape a list of URLs
Scrape dynamic ajax content
Scrape paginated results
Run custom Javascript
Automatically fill forms

25. DataGrab

website: https://datagrab.io/

tags: datagrab, grab io

DataGrab allows you to extract data from web pages via a point-and-click interface, supporting a variety of use cases such as lead generation, price monitoring, data aggregation, real estate listings, and more. It was primarily designed for non-coders, but it still offers the flexibility for developers to tweak the generated CSS selectors

Visual scraper setup
Pagination (by following the links to next pages)
Linking detail pages to their listing pages
Dynamic sites (ones that employ techniques such as infinite scroll, "load more" button, etc.)
Scheduling (run your scrapers automatically every hour, day, week or month)
Exporting data in CSV or JSON format
Automatic data delivery via email
Data retention for 7 days

26. Spider Pro

website: https://tryspider.com/

tags: spider pro, pro web scraper

Spider Pro, an easy-to-use web scraping tool that turns websites into organized data. It requires 0 configurations or programming experience, simply starts clicking to collect data.

Unobtrusive user interface design
Scrape paginated content with a single click
Scrape ajax loaded content
No server involved
Improved selector logic for better results
Custom selector for quirky website structures

27. ScrapeX.ai

website: https://scrapex.ai/

tags: scrapex, scrape x, no code platform

ScrapeX.ai automate scraping and handle data extraction problems at scale. While you sit back and relax, it gets the data you want, the way you want it.

Scrape any webpage
Manage your scraper instances on a single dashboard
Cookie support
Scripts to power scrapers
Scrape an entire website for site audit and create site maps
Automatic data extraction APIs

28. AnyPicker

website: https://www.anypicker.com/

tags: anypicker, any picker, anypicker chrome extension

AnyPicker is a Chrome extension for visual web scraping. It sets the web extraction rules super easily, just by clicking what you see on the website and without needing to download any other software. Integrated with Google Sheets, it saves scraped data just with one click, saving you time to upload and parse your data by Google Driver. All data is processed in your local computer, it is never passing through AnyPicker’s web server, so no one knows what you scraped.

Simple and easy visual interface
Works with any web site, even behind logins
Get structured data in XLS,CSV, and format
Scrape and download images automatically
Recognizes data patterns automatically
Full suport for pagination and infinite scroll
Save recipes for repeat scraping

29. Scrapio

website: https://www.getscrapio.com/

tags: scrapio, get scrapio, scrapio extension, no code scraper, extract data

Automatically extract content from any webpage. Download extracted data, automate scraping processes over multiple links, and much more.

Auto content detection
Manage scraped data
Multiple filetypes
Data interactions
Repeat the extractor on scraped links
Record content interactions

30. Monitoro

website: https://www.monitoro.xyz/

tags: monitoro, price monitoring, web scraping, google sheet, csv, airtable

Monitoro is a cloud service that watches websites for changes. It scrapes data and sends it to other services every time a change happens. Every time a webpage changes, Monitoro calls your webhook with up-to-date data. Overall, Monitoro scrapes structured data, watches data for changes and then sends fresh data to webhooks

Automate web data extraction when a website changes
Sync and enrich data in realtime with Google Sheets, Airtable, and any CMS or DB
Get custom alerts in Slack, Discord, Email, SMS or your favorite channel
Create custom triggers for Zapier, IFTTT or any webhook with the extracted data

Conclusion

This was a long list, but I hope you liked it and that this post will help you to choose the right tool for your needs.

However, if you haven't found the right fit yet and you need help with some of your projects because they require more complex functionality, let us know. We’ve built our own web automation and data extraction tool Automatio.io and created thousands of bots to collect millions of data over the years so we have high experience in this field.