Best AI Web Scraping Tools of 2025: Complete Comparison

In this guide, you will see:

• What an AI web scraping tool is
• Key factors to consider when choosing the best AI scraping tool
• The top 7 AI web scraping tools currently available
• A summary table to easily compare the main features of each solution

Let’s dive in!

What Is an AI Web Scraping Tool?

An AI web scraping tool uses artificial intelligence to automate the process of extracting data from websites. It can be a cloud solution offering AI-powered scraping APIs, a Python or JavaScript scraping library, or a set of capabilities to achieve that goal.

The advantage of AI-powered scraping over traditional scrapers is that these tools can adapt to layout changes without requiring code updates. That means reduced maintenance and improved effectiveness. However, they can be slower due to AI processing and may occasionally produce hallucinated data.

Generally, AI web scraping tools include features such as:

• Natural language processing for smart data targeting
• Integration with AI models for content understanding
• Prebuilt connectors for popular websites

To be effective, an AI web scraping tool must also support proxy handling to avoid IP bans and anti-bot bypassing to prevent scraping blocks. Ultimately, these tools aim to make web data collection faster, smarter, and more accessible to both technical and non-technical users.

Aspects to Consider the Best AI Scraping Tools on the Market

When evaluating the top AI web scraping tools and solutions, these are the elements to keep in mind:

• Capabilities: The range of features and functionalities supported by the AI scraping tool.
• Nature: Whether the tool is a premium solution, open-source, or offers both options.
• Supported programming languages: The programming languages the solution can be easily integrated with.
• Supported AI providers: The AI models or platforms the tool can connect to or utilize behind the scenes.
• Pricing: The pricing model for the premium version of the tool, if applicable.
• GitHub Stars: The number of stars on the project’s GitHub repository (if available).
• G2 Reviews: User review rating on G2 (if applicable).

Top 7 AI Scraping Solutions

Discover the best AI web scraping tools available online, selected and ranked according to the criteria presented earlier.

Note: The AI web scraping landscape is evolving rapidly, with new tools emerging almost daily. Thus, it is challenging to keep up with every release. Here, we will list the most popular and powerful options available at the time of writing.

1. Bright Data

Bright Data is a web scraping and proxy platform built for performance, scale, and compliance. It is rated highly on platforms like G2 and Trustpilot and trusted by over 20,000 customers.

Bright Data provides a comprehensive suite of tools for extracting real-time, LLM-ready web data. That data can be employed to power AI agents, integrate with any AI provider for RAG pipelines, train foundation models, or gather vertical-specific insights.

Its scraping solutions include industry-leading anti-bot bypass technologies. Also, these tools are backed by one of the largest and most reliable proxy networks in the world, with over 100 million IPs.

Specifically, the AI scraping tools available in Bright Data include:

• Search API: LLM-ready search engine delivering real-time, context-aware results optimized for inference, AI agents, and hybrid RAG systems.
• Unlocker API: Scalable solution for bypassing access restrictions—enabling seamless and efficient public web data collection.
• Agent Browser: Supports multi-step, agent-based workflows with dynamic content loading using serverless browsers and integrated unlocking.
• Dataset Marketplace: Continuously updated, structured datasets for model training, knowledge base development, and instant data access.
• Web Scraper: Prebuilt endpoints for capturing live data from 120+ top domains or any custom website as needed.
• Archive API: Massive historical data archive with cost-efficient access—over 2.5 petabytes of fresh content added every day.
• Annotation Service: Scalable, high-accuracy labeling for both existing and custom datasets—boosting AI model performance with quality training data.
• MCP Server: Fuel your AI models and agents with real-time, reliable access to public web data.

See how to use these solutions with Gemini data extraction and Perplexity web scraping.

Overall, those capabilities make Bright Data the best AI web scraping tool available today on the market.

🛠️ Capabilities:

• Dedicated endpoints for 120+ domains including LinkedIn, eCommerce, and social media
• 150M+ IPs rotated from real-peer devices in 195 countries
• Centralized control and optimization of proxy usage
• Anti-blocks and CAPTCHA solver integrated in the tools
• Scale AI scraping browsers with built-in unblocking and cloud hosting for unlimited scalability
• Possibility to run scrapers as serverless functions
• No-code integration for web scraping APIs
• Pre-collected data from 120+ domains
• Fully managed, enterprise-grade data acquisition service
• At actionable market intelligence powered by machine learning
• Possibility to build reliable custom pipelines to extract web data from industry-specific sources
• Compliant with CSA STAR Registry, GDPR, ISO 27001, SOC 2, and SOC 3 standards
• Large repository of images, videos, and audio files optimized for AI training
• Petabyte-scale web data repository with 2.5PB of fresh AI-optimized data added daily
• High-quality annotation for existing or custom scrapers to enhance AI training
• Support for MCP (Model Context Protocol)

🔎 Nature: Premium solutions with open-source integration libraries like langchain-brightdata and @brightdata/mcp

💻 Supported programming languages: Any

🔌 Supported AI providers: Any

💰 Pricing: Depends on the chosen AI scraping tool, but prices typically start at just fractions of a cent per data record

⭐ GitHub stars: —

💬 G2 reviews: 4.6/5 (239 reviews)

2. Crawl4AI

Crawl4AI is an open-source, AI-ready web crawler and scraper for real-time data extraction. This Python library is optimized for AI scraping agents, offering fast crawling, structured data extraction, and advanced browser integration.

Compared to other AI web scraping tools on the list, Crawl4AI is specifically built for performance. In particular, it utilizes heuristics and advanced data processing techniques to speed up LLM-based data extraction. That makes the entire process faster and more efficient.

With a long list of features, Crawl4AI has gained significant popularity, reaching the #1 position on GitHub multiple times.

See it in action in our integration guide with Crawl4AI and DeepSeek.

🛠️ Capabilities:

• Open-source web crawler and scraper built for LLMs, AI agents, and data pipelines
• Supports session management, proxies, and custom browser hooks
• Uses heuristic algorithms to extract data efficiently without heavy LLM calls
• Command-line interface for quick crawling from the terminal
• Geolocation-aware crawling with locale and timezone customization
• Captures MHTML snapshots for page state analysis
• MCP integration for AI tools like Claude Code
• Deep crawling support using BFS, DFS, and BestFirst strategies
• Adaptive dispatcher that adjusts concurrency based on system memory
• Ability to execute JavaScript and extract dynamic content
• Browser profile management for persistent user sessions
• AI coding assistant for crawl configuration and code generation

🔎 Nature: Open-source library

💻 Supported programming languages: Python

🔌 Supported AI providers: Ollama, Groq, OpenAI, Anthropic, Gemini, and DeepSeek

💰 Pricing: Free

⭐ GitHub stars: 41.4k+

💬 G2 reviews: — (0 reviews)

3. ScrapeGraphAI

ScrapeGraphAI is an AI-powered web scraping tool that converts any website into clean, structured data. It is ideal for building AI agents and analytics workflows powered by autonomous data extraction via natural language prompts.

ScrapeGraphAI is available as both an open-source Python library and a premium API, with official clients in Python and JavaScript. It supports various scraping pipelines tailored to different use cases:

• SmartScraperGraph: Scrapes a single page using just a user prompt and input URL.
• SearchGraph: Scrapes multiple pages by extracting data from the top n search engine results.
• SpeechGraph: Extracts information from a single page and converts it into an audio file.
• ScriptCreatorGraph: Generates a Python script to extract data from a single page.
• SmartScraperMultiGraph: Scrapes multiple pages using one prompt and a list of input URLs.
• ScriptCreatorMultiGraph: Generates a Python script to extract data from multiple pages and sources.
• Markdownify: Converts webpage content into clean, well-structured Markdown format.

For a complete tutorial, see our guide on web scraping with ScrapeGraphAI.

🛠️ Capabilities:

• AI-powered web scraping using LLMs and graph logic
• Create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown)
• Support for multiple scraping tasks
• Parallel LLM calls supported for multi-version pipelines
• Integrations with LangChain, LlamaIndex, CrewAI, Agno, and Langflow
• Supports OpenAI, Groq, Azure, Gemini, and local models via Ollama
• Structured output via Pydantic schemas
• API endpoints with access to SmartScraper, SearchScraper, and Markdownify
• Built-in automatic retries and detailed logging
• Support for proxy rotation
• Support for JavaScript rendering via Playwright

🔎 Nature: Open-source library with premium features

💻 Supported programming languages: Any via API + Python and JavaScript SDKs

🔌 Supported AI providers: OpenAI, Gemini, Groq, Azure, Hugging Face Hub, Anthropic, Ollama, and others

💰 Pricing:

• ScrapeGraphAI: Free via the open-source library
• ScrapeGraphAPI:
  • Free: $0 for 50 credits
  • Starter: $20/month for 5,000 credits per month
  • Growth: $100/month for 40,000 credits per month
  • Pro: $500/month for 250,000 credits per month

⭐ GitHub stars: 19.4k+

💬 G2 reviews: — (0 reviews)

4. Firecrawl

Firecrawl is a web scraping and crawling platform designed for AI applications. It exposes APIs that take a URL, crawl the site, and return clean Markdown or structured data. These APIs can be easily called via various official SDKs. An open-source version of this tool is also available.

Firecrawl supports dynamic content, JavaScript rendering, rate limit handling, proxy rotation, and interactive actions like clicking or scrolling. Note that some of these features are exclusive to the cloud version and are not available in the open-source edition.

It includes built-in support for AI frameworks like LangChain and LlamaIndex.

🛠️ Capabilities:

• Scrapes a URL and returns its content in LLM-ready formats
• Can map a website to quickly retrieve all its URLs
• Allows search queries across the web and returns full content from the results
• Extracts structured data from single pages, multiple pages, or entire websites
• Supports markdown, HTML, screenshots, links, metadata, and other LLM-ready output formats
• Handles proxies, anti-bot mechanisms, dynamic JavaScript-rendered content, and output parsing
• Allows customization such as setting max crawl depth and adding custom headers
• Parses media formats including PDFs, DOCX files, and images
• Supports user actions like clicking, scrolling, inputting, and waiting before extraction
• Provides a batching feature to scrape thousands of URLs concurrently using an async endpoint
• Integrates with LLM frameworks like Langchain, Llama Index, and Crew.ai
• Supports low-code tools such as Dify, Langflow, and Flowise AI
• Connects with automation platforms like Zapier and Pabbly Connect

🔎 Nature: Open-source library with premium features

💻 Supported programming languages: Any via API + Python, Node.js, Go, and Rust SDKs

🔌 Supported AI providers: Undisclosed

💰 Pricing:

• Firecrawl Open-Source: Free
• Firecrawl Cloud:
  • Free Plan: $0 for 500 credits
  • Hobby: $19/month for 3,000 credits per month
  • Standard: $99/month for 100,000 credits per month
  • Growth: $399/month for 500,000 credits per month

⭐ GitHub stars: 37.3k+

💬 G2 reviews: — (0 reviews)

5. Browse AI

Browse AI is a no-code, AI web scraping platform that lets you extract, monitor, and integrate data from any website. In detail, it turns websites into live data pipelines using either prebuilt or custom AI-driven scraping robots.

To build new robots, you simply use a point-and-click interface. Browse AI takes care of bot detection, CAPTCHAs, rate limits, and more. You can also schedule monitoring tasks and connect the scraped data to over 7,000 tools, including Google Sheets and Airtable.

Note that the specific AI models powering Browse AI’s scraping capabilities have not been publicly disclosed.

🛠️ Capabilities:

• Point-and-click experience to extract data via AI (no coding required)
• AI-powered site layout monitoring to keep data accurate and up-to-date
• Built-in bot detection, proxy management, automatic retries, and rate limiting handling
• Human behavior emulation for reliable extraction
• SOC 2 Type II, GDPR, and CCPA compliant
• Over 200 prebuilt AI scraping robots
• Over 7,000 integrations for automated workflows (including Google Sheets, Airtable, Zapier, API, and webhook integrations)
• Download data as a spreadsheet or turn any website into a real-time API
• Support for bulk scraping

🔎 Nature: Premium solution

💻 Supported programming languages: Any

🔌 Supported AI providers: Undisclosed

💰 Pricing:

• Free: Free for 50 credits/month
• Starter: $19/month for 10,000 credits/year
• Professional: $99/month for 60,000 credits/year
• Team: $249/month for 120,000 credits/year

⭐ GitHub stars: —

💬 G2 reviews: 4.7/5 (50 reviews)

6. LLM Scraper

LLM Scraper is a TypeScript library that uses LLMs to extract structured data from any webpage. This AI web scraping tool is built on top of the Playwright framework and supports several LLM providers

You define your data structure using Zo and, provide the scraper with a URL. Next, the library relies on the configured LLM to extract the data in the desired format. Supported formats for data processing include HTML, markdown, plain text, and screenshots.

The library has gained strong traction in the developer community, earning over 4,000 stars in just a few months. For more guidance, see it in action in our guide on web scraping with llm-scraper.

🛠️ Capabilities:

• Extracts structured data from any webpage using LLMs
• Integrates with both local models and cloud providers
• Supports several modes for data extraction from pages
• Output schemas are defined using Zod
• Fully type-safe with TypeScript
• Built on top of the Playwright framework, with support for browser automation
• Supports streaming of partial objects
• Supports code-generation of reusable Playwright scripts based on schema

🔎 Nature: Open-source library

💻 Supported programming languages: TypeScript/JavaScript

🔌 Supported AI providers: OpenAI, Groq, Ollama, GGUF, Vercel AI SDK Providers

💰 Pricing: Free

⭐ GitHub stars: 4.8k+

💬 G2 reviews: —

7. Reader

Jina Reader is an API that transforms any webpage into clean, structured, and LLM-friendly content. Under the hood, it fetches the target page and utilizes Jina AI models like ReaderLM-v2 for HTML to Markdown/JSON conversion.

By default, it removes clutter like scripts and ads. Then, it returns the core readable text in Markdown or JSON format. Advanced features include CSS targeting, image and link grouping, locale customization, proxy support, caching, streaming, and browser automation.

Note that the API can be called for free and an API key is not required.

🛠️ Capabilities:

• Does not require an API key
• Converts any URL into an LLM-friendly text format using Jina AI
• Supports web search and conversion of top search results
• Supports content extraction from PDF URLs
• Supports image reading
• Allows restricting search to a specific domain
• Includes an adaptive crawler to recursively extract relevant content from a site
• Supports headers for forwarding cookies
• Support for proxy integration
• Handles browser rendering and JavaScript/CSS blocking internally

🔎 Nature: Open-source library

💻 Supported programming languages: Any

🔌 Supported AI providers: Jina AI

💰 Pricing: Free

⭐ GitHub stars: 8.7k+

💬 G2 reviews: — (0 reviews)

Best AI Web Scraping Tools

Compare the top AI scraping solutions we reviewed above in the summary table below:

Conclusion

In this article, you learned about AI scraping tools and the key factors to consider when choosing one. Based on these criteria, we compiled a list of the best tools available today for scraping with LLM models.

Bright Data stands out as the leading provider, offering several cutting-edge AI services, such as:

• Autonomous AI agents: Search, access, and interact with any website in real time using a powerful set of APIs.
• Vertical AI apps: Build reliable, custom data pipelines to extract web data from industry-specific sources.
• Foundation models: Access compliant, web-scale datasets to power pre-training, evaluation, and fine-tuning.
• Multimodal AI: Tap into the world’s largest repository of images, videos, and audio—optimized for AI.
• Data providers: Connect with trusted providers to source high-quality, AI-ready datasets at scale.
• Data packages: Get curated, ready-to-use datasets—structured, enriched, and annotated.

For more information, visit our AI hub.

Create a Bright Data account today and explore all our products and services for AI scraping!