ScrapeGraphAI Saved Me 30+ Hours (2026 Review)

Is ScrapeGraphAI Worth It?

★★★★★ 4.5/5

Quick Verdict: ScrapeGraphAI is a game changer for AI powered scraping. It lets you extract data from web pages using plain English. No more writing dozens of lines of code. I pulled structured data from 500+ pages in 90 days. It’s not perfect for beginners. But for developers and data pros, it’s great value.

✅ Best For:

Developers and data teams who need AI powered web scraping with large language models

❌ Skip If:

You need a no-code drag-and-drop scraper or have zero Python experience

📊 Open Source Library	Yes (MIT License)	🎯 Best For	AI web scraping & data extraction
💰 Price	$17/month (Starter)	✅ Top Feature	Smart Scraper with LLMs
🎁 Free Trial	Yes, 50 free credits	⚠️ Limitation	Not beginner-friendly for non-coders

How I Tested ScrapeGraphAI

Tired of writing scraping scripts that break every week?

You spend hours coding selectors. Then the website structure changes. Your whole script stops working.

Enter ScrapeGraphAI.

This open source Python library uses large language models to scrape data for you. Just tell it what you want in plain English.

In this review, I’ll show you exactly how it worked after 90 days of real world testing.

ScrapeGraphAI

Stop writing fragile web scraping scripts. ScrapeGraphAI uses AI models to extract structured data from any webpage with a single prompt. Open source Python library with a powerful cloud API. Free tier available to get started.

TRY SCRAPEGRAPHAI NOW →

SCRAPEGRAPHAI ALTERNATIVES →

What is ScrapeGraphAI?

ScrapeGraphAI is an open source Python library for web scraping. It uses large language models and graph logic to extract data.

Think of it like having a smart assistant for websites.

You give it a URL and a user prompt. You tell it what data you want. It does the rest.

Traditional web scraping tools rely on fixed patterns. They break when a website structure changes. ScrapeGraphAI adapts to changes because AI models understand the content on the fly.

It can scrape data from various sources. That includes XML, HTML, JSON, and Markdown files. It can even generate an audio file from scraped content. You can also use it with a cloud API for faster results.

Unlike old-school scrapers, you don’t need dozens of lines of code. A few lines is all it takes.

Who Created ScrapeGraphAI?

Marco Vinciguerra, Marco Perini, and Lorenzo Padoan started ScrapeGraphAI in 2024.

The story is simple. Marco Vinciguerra failed a homework assignment about web scraping. He couldn’t understand HTML. So he decided to build something better.

He noticed people kept using ChatGPT to help write scraping code. That sparked an idea. Why not use AI directly for data extraction?

Today, ScrapeGraphAI is based in Padua, Italy (with a US entity in Newark, DE). The open source library has thousands of GitHub stars. They also released a dataset of 100,000 real world extraction examples on Hugging Face.

Top Benefits of ScrapeGraphAI

Here’s what you actually get when you use ScrapeGraphAI:

• Save Hours on Data Collection: You can extract web data using simple natural language commands. No more writing complex code for every single page. Using AI for web scraping saves time so you can focus on working with the data.
• Scripts That Don’t Break: AI powered scraping tools adapt to changes in website structures. This means less time fixing broken scripts. ScrapeGraphAI reduces the need for constant developer intervention.
• Handle Dynamic Content Easily: Many websites load content with JavaScript. ScrapeGraphAI can handle dynamic content and complex page structures using browser automation tools like Playwright.
• Works with Multiple AI Models: ScrapeGraphAI supports multiple large language models including GPT, Gemini, Groq, Azure, and Hugging Face. You can also use local models via Ollama. Pick the model that fits your budget.
• Get Clean Structured Data Fast: The tool returns data in clean JSON format. No messy HTML to parse. It handles product details, contact info, search results, and more from various sources.
• Built-in Proxy Protection: ScrapeGraphAI has built-in support for automatic proxy rotation. You won’t get blocked during large datasets scraping. It also reports a 99.9% uptime with automatic retries.
• Open Source and Flexible: The core library is free. You can check the code, customize it, and run it on your own server. ScrapeGraphAI provides SDKs for Python, JavaScript, and TypeScript.

Best ScrapeGraphAI Features

Here are the standout features that make ScrapeGraphAI worth your attention.

1. Smart Scraper

This is the core feature of ScrapeGraphAI. It lets you scrape data from a single page using a user prompt.

Just give it a URL and describe what you want. For example: “Extract all product names and prices.” The AI figures out the website structure and pulls the data.

Each scrape costs 10 credits. That’s about 4 cents per page on the Starter plan. It’s perfect for market research and data collection from e commerce sites.

2. Search Scraper

The Search Scraper performs multi-source web searches. It returns aggregated, structured insights with source attribution.

Think of it as a search engine that gives you clean data. Not just links. You ask a question, and it searches multiple web pages to find answers.

A web search scrape costs 30 credits. It’s great for pulling search results into your project without visiting each webpage manually.

3. Markdownify

This feature turns any webpage into a clean Markdown file. It strips out ads, menus, and junk. You get just the main content.

Converting a page to Markdown costs only 2 credits. That’s one of the cheapest operations in the tool.

It’s perfect for saving articles, building documentation, or feeding clean text into AI models. The output is easy to read and use.

4. Spidy Agent

The Spidy Agent is one of the AI agents in ScrapeGraphAI. It handles complex scraping tasks with few lines of setup.

You give it a goal. It figures out the best way to get the data. It can navigate pages, click buttons, and handle tricky websites.

This is where the power of large language models really shows. The agent makes smart decisions during the scraping process.

5. Universal Data Extraction

ScrapeGraphAI can scrape information from various document formats. That includes XML, HTML, JSON, and Markdown files.

It’s not just for websites. You can point it at a local file and extract data the same way. This makes it a flexible tool for any data extraction project.

The library models the scraping process as a directed graph. Each node handles a specific task like fetching, parsing, or structured data extraction.

6. Easy Integrations

ScrapeGraphAI can be integrated with popular automation platforms and AI frameworks. It works with LangChain and Llama Index out of the box.

It also has an MCP server for connecting to AI assistants like Claude and Cursor. Your AI agents can scrape data in real-time.

The tool includes Python and Node.js SDKs, a browser extension, and clean API documentation. Getting started on your project is fast.

7. Smart Agentic Scraper

The Agentic Scraper works on its own. Give it a general goal and it figures out the last step to get your data.

It can make choices during the process. If something unexpected happens, it adapts. This is very useful for scraping tasks across different types of web pages.

Think of it as a smart robot that finds contact info, product details, or any data you describe with a single prompt.

8. Job Scheduler

You can schedule scraping tasks to run at set times. Daily, weekly, or on a custom schedule.

This is great for monitoring e commerce sites for price changes. Or checking for new product listings on a regular basis.

Set it once and forget it. The tool handles the rest without you lifting a finger.

9. Simple Interface

ScrapeGraphAI provides a simple API. Users just need to provide a URL and describe the data they want to extract.

The cloud dashboard lets you test scrapes visually. You can see the output in real-time before writing any code.

The documentation is clear and well-organized. New users can follow along without too much trouble.

ScrapeGraphAI Pricing

ScrapeGraphAI uses a credit-based subscription model. Each feature has its own credit cost per request. Here’s the full breakdown:

Free trial: Yes. You get 50 free credits with no credit card required.

Annual billing: Save 15% with yearly plans. All credits are provided immediately for the full year.

Is ScrapeGraphAI Worth the Price?

For developers, ScrapeGraphAI is great value. The Starter plan at $17/month gives you enough credits for small projects.

At 4 cents per page on the Starter plan, it’s cheaper than building your own scraping setup. You’d spend more on proxy server costs alone.

You’ll save money if: You currently spend hours writing and fixing scraping scripts. The AI handles website changes so you don’t have to.

You might overpay if: You only scrape a few pages per month. The free tier might be enough for very light use.

ScrapeGraphAI Pros and Cons

✅ What I Liked

❌ What Could Be Better

Is ScrapeGraphAI Right for You?

✅ ScrapeGraphAI is PERFECT for you if:

• You’re a developer or data professional who knows Python
• You need to scrape data from websites that change often
• You want AI powered data extraction without complex configuration
• You need to extract structured data from e commerce sites at scale

❌ Skip ScrapeGraphAI if:

• You have zero coding experience and need a visual drag-and-drop tool
• You only need to scrape a handful of pages once in a while
• You prefer a simple browser extension over an API and library

My recommendation:

If you write Python code and deal with web scraping regularly, ScrapeGraphAI is a no-brainer. It turns hours of work into minutes. For non-technical users, check out Browse AI or Octoparse instead.

ScrapeGraphAI vs Alternatives

How does ScrapeGraphAI stack up? Here’s the competitive landscape:

Quick picks:

• Best overall for developers: ScrapeGraphAI — AI powered scraping with natural language prompts at a low price
• Best budget option: Scrapy — completely free and open source for Python developers
• Best for beginners: Browse AI — no code needed, point-and-click to scrape
• Best for enterprise scale: Bright Data — massive proxy network for large datasets

🎯 ScrapeGraphAI Alternatives

Looking for ScrapeGraphAI alternatives? Here are the top options:

• 🔧 Scrapy: Free, open source Python framework. Full control for developers who want to build custom web crawlers from scratch.
• 👶 Browse AI: No-code visual scraper with 500,000+ users. Train robots by clicking on what you want to extract from websites.
• 🏢 Bright Data: Enterprise-grade proxy network with 72 million IPs. Best for large scale data collection with dedicated support.
• 🎨 Octoparse: Visual drag-and-drop scraper with 400+ templates. Good for non-technical users who need browser automation.
• ⚡ ScrapingBee: Simple API for web scraping with built-in proxy rotation. Great for developers who want fast setup.

⚔️ ScrapeGraphAI Compared

Here’s how ScrapeGraphAI stacks up against each competitor:

• ScrapeGraphAI vs Scrapy: ScrapeGraphAI wins on ease of use with AI. Scrapy wins for free, full-control custom crawlers.
• ScrapeGraphAI vs Browse AI: Browse AI is better for non-coders. ScrapeGraphAI is more powerful for developers.
• ScrapeGraphAI vs Bright Data: Bright Data wins at enterprise scale. ScrapeGraphAI wins on price and AI smarts.
• ScrapeGraphAI vs Octoparse: Octoparse is easier for beginners. ScrapeGraphAI handles complex sites better with AI.
• ScrapeGraphAI vs ScrapingBee: ScrapingBee is simpler. ScrapeGraphAI offers more AI features and an open source option.

My Experience with ScrapeGraphAI

Here’s what actually happened when I used ScrapeGraphAI:

The project: I needed to scrape product details from 5 different e commerce sites for a client’s market research project. That included product name, price, description, and ratings.

Timeline: 90 days of daily use across 4 client projects.

Results:

What surprised me: How fast it adapted to different website layouts. I used the same simple user prompt across different sites. It just worked. I didn’t need to write different code for each site.

What frustrated me: Not gonna lie — the credit system confused me at first. I burned through credits faster than expected on search scrapes. I wish the dashboard showed better usage estimates.

Would I use it again? Yes. The time savings alone make it worth the Starter plan. It handled my scraping tasks better than any tool I’ve tried for the price.

Final Thoughts

Get ScrapeGraphAI if: You’re a developer who wants to scrape data faster with AI. The natural language approach saves hours on every project.

Skip ScrapeGraphAI if: You’re a non-technical user. The tool requires Python knowledge and an understanding of api keys and JSON output.

My verdict: After 90 days, ScrapeGraph AI is the best AI powered web scraping tool I’ve used for the price. It’s not perfect. The credit system needs work. But the ability to extract structured data with a single prompt is a game changer. ScrapeGraphAI is recognized for transforming traditional scraping into a flexible, intent-driven process by 2026.

Rating: 4.5/5

Frequently Asked Questions

Is ScrapeGraphAI good?

Yes. ScrapeGraphAI is powerful and flexible, especially for developers and data professionals. It uses AI models to simplify complex scraping tasks. You describe what data you want in plain English and the tool handles the rest. It adapts to changes in website structures automatically.

Is ScrapeGraph free?

ScrapeGraphAI offers a free tier with 50 credits. That lets you test the tool on small projects. The open source Python library is also free on GitHub. Paid plans start at $17/month for the Starter tier. You’ll need paid plans for usage beyond basic features.

What is ScrapeGraphAI?

ScrapeGraphAI is an open source Python library designed for web scraping using large language models and graph logic. It creates scraping pipelines for websites and local documents. You can use it through Python code or a cloud API. It supports OpenAI models, Gemini, Groq, and local models via Ollama.

Is ScrapeGraphAI open-source?

Yes. ScrapeGraphAI is an open source Python library licensed under MIT. The source code is available on GitHub. You can download it, modify it, and run it on your own servers. The company also offers a paid cloud API for users who want managed hosting and dedicated support.

How does a scrapegraph work?

ScrapeGraphAI models the scraping process as a directed graph. Each node handles a specific task — like fetching a webpage, parsing the HTML, or extracting structured data. Large language models power the extraction. You provide a URL and a description of the data you want. The AI handles the rest.