Projects sharing features with Firecrawl

This project is a Model Context Protocol server that connects large language models to web scraping and crawling tools. It functions as a bridge, allowing LLM clients to utilize a web crawling engine and scraping utilities to extract and process web data. The server integrates a markdown web converter that transforms dynamic web pages and PDF documents into clean markdown to optimize consumption by AI models. It also provides a browser automation interface for controlling headless sessions and bypassing access restrictions. The system covers broad capabilities including large-scale website d

Steel is a cloud browser automation platform that provides a REST API for launching and controlling remote Chrome browser sessions. It enables programmatic browsing and web scraping using standard automation tools like Puppeteer, Playwright, and Selenium, connecting to cloud-hosted browser instances via WebSocket and the Chrome DevTools Protocol. The platform supports both headless and headful browser sessions, with language-specific SDKs for TypeScript and Python. The service distinguishes itself through comprehensive anti-detection capabilities, including residential proxy rotation, CAPTCHA

Firecrawl MCP Server is a Model Context Protocol tool server that exposes the full suite of Firecrawl’s web scraping, crawling, and automation capabilities as tools that large language models can invoke directly. It acts as a proxy to the Firecrawl cloud platform, which manages headless browser orchestration, async job queues, and rate limiting behind the scenes. The server distinguishes itself by packaging autonomous web agents — both a research agent that browses and collects structured data from multiple pages, and a general web agent that performs multi-step browsing and extraction tasks

Maxun is an open-source web scraping and automation platform designed to transform dynamic website content into structured data. By leveraging artificial intelligence to interpret natural language prompts, the system identifies page elements and extracts information without requiring manual selector configuration. It serves as a bridge between raw web content and intelligent workflows, providing structured outputs in formats optimized for large language model ingestion and agent-based applications. The platform distinguishes itself through its ability to handle complex, authenticated, and dyn

Open Deep Research is an AI-powered web research agent that combines a reasoning model with live web search and data extraction to perform deep, multi-source investigations on any topic. It operates through a dual interface, offering both a command-line tool and a Model Context Protocol server, allowing developers to integrate web capabilities directly into AI agents and coding assistants. The project distinguishes itself by orchestrating an iterative research loop where a reasoning model plans steps, interprets search results, and guides subsequent web interactions. It uses Firecrawl for scr

AnyCrawl is an AI-powered data extractor, automated web crawler, and headless browser orchestrator. It serves as a web content extraction API and a gateway that connects crawling and scraping tools to language models using a standardized API protocol. The project specializes in converting unstructured website content into structured JSON or markdown optimized for AI assistants. It utilizes language models and JSON schemas to pull specific information into validated formats and provides capabilities for AI page summarization and LLM-optimized content extraction. The system manages comprehensi

Stagehand is an AI-native browser automation framework that enables developers to build reliable web automations using a hybrid of natural language instructions and deterministic TypeScript code.

Katana is a web crawler and spider designed for security reconnaissance and web application mapping. It functions as a utility for identifying endpoints, forms, and API structures across web targets by combining standard HTTP request traversal with headless browser automation to render dynamic, JavaScript-heavy content. The tool distinguishes itself through its ability to maintain authenticated sessions and handle complex web interactions, such as automated form submission and captcha resolution. It provides granular control over the discovery process, allowing users to define specific crawl

This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

Webmagic is a Java web crawling framework designed for building scalable automated crawlers to download and process large volumes of web pages. It functions as a distributed web crawler and dynamic content crawler, utilizing an XPath HTML parser to locate and extract specific data points from page structures. The framework distinguishes itself through its ability to handle dynamic content by rendering JavaScript and executing asynchronous requests to extract data from non-static pages. It also allows users to define and execute crawler logic via scripting languages, enabling the update of col

This project is a distributed headless Chrome web crawler and data extraction framework. It functions as a JavaScript rendering engine that uses a headless browser to process dynamic pages, extracting structured data from websites that require JavaScript execution. The system is designed for scalable data collection across multiple nodes, using distributed task synchronization and shared caches to prevent duplicate work. It distinguishes itself through the ability to emulate specific client environments by configuring user agents and viewport dimensions, while capturing visual evidence such a

PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for periodically fetching web content, processing HTML, and persisting scraped information into database backends. The system features a web-based management interface for editing scraping scripts, monitoring task progress, and reviewing collected data. It includes a headless browser JavaScript renderer to capture rendered HTML from dynamic web pages and a distributed architecture that uses message queues to scale crawling workloads across multiple nodes. The framework also covers task

PythonSpiderNotes is a comprehensive instructional resource and framework for building web crawlers and extracting data using the Python programming language. It provides a set of methods for parsing unstructured HTML and JSON data into structured formats for persistent storage. The project includes detailed guides and tutorials on browser automation for retrieving dynamic content, as well as a framework for data extraction. It specifically covers anti-bot bypass techniques, such as rotating proxies and spoofing headers, to avoid IP blocks and detection systems. The capability surface extend

requests-html is a Python HTML parsing library and web scraping framework. It functions as an asynchronous HTTP client and a JavaScript rendering engine designed to fetch and parse web pages for structured data extraction. The project integrates a headless browser to execute JavaScript, allowing it to retrieve dynamically generated content that standard HTML parsers cannot see. It provides tools for automated data extraction using CSS selectors and XPath expressions to isolate specific text or attributes from HTML structures. The framework covers network operations including asynchronous pag

Pholcus is a distributed web crawling system designed for large-scale data scraping. It employs a master-worker distribution model to coordinate high-concurrency scraping tasks across a network of remote client nodes, enabling both horizontal and vertical data collection. The system features a hot-loadable rule engine that allows extraction and navigation logic to be updated at runtime without restarting the process. It handles dynamic content through headless browser integration and bypasses bot detection using proxy rotation, automated user authentication, and simulated human behavior. The

CyberScraper-2077 is an AI-powered web scraping tool that uses large language models to extract and structure data from websites into organized formats. It functions as an LLM web scraper and AI content parser, transforming unstructured raw web text into specific data schemas. The project distinguishes itself through a suite of anonymity and evasion tools, including proxy rotation, SOCKS-based identity masking, and the ability to route traffic through the Tor network to access hidden onion services. It further includes a bot detection bypass system that employs stealth parameters and custom n

FlareSolverr is a proxy server designed to provide programmatic access to websites protected by automated security challenges and firewall restrictions. It functions by orchestrating headless browser instances to render web pages, execute JavaScript, and retrieve the necessary cookies and content required to bypass common security hurdles. The service distinguishes itself by maintaining persistent browser sessions in memory, which allows for the reuse of authenticated states across multiple requests. It integrates with external captcha resolution services to handle interactive security challe

This project is an MCP browser automation server that connects large language models to headless cloud browsers. It functions as an autonomous web workflow engine and an LLM web agent interface, enabling the translation of natural language instructions into browser actions and structured data retrieval. The system distinguishes itself through a managed headless browser cloud API that supports concurrent Chromium sessions with integrated stealth modes, CAPTCHA solving, and proxy traffic routing. It utilizes self-healing element selection to maintain automation resilience when page structures c

This project is an LLM browser automation framework and AI agent browser interface. It serves as a control layer that translates natural language instructions into browser interactions using large language models, enabling AI agents to navigate and interact with web pages through standardized browser-control functions. The system functions as an RPA workflow orchestrator and headless browser management tool, capable of recording and replaying deterministic browser sequences to automate repetitive tasks. It distinguishes itself through stealth configurations, including residential proxies and

Puppeteer is a JavaScript library for programmatically controlling Chrome and Firefox through the Chrome DevTools Protocol or the WebDriver BiDi protocol. It launches and manages browser instances—typically without a visible user interface—to automate interactions with web pages, enabling navigation, clicking, typing, and data extraction entirely through code. The library distinguishes itself through deep integration with the Chromium embedding layer, allowing fine-grained process configuration with custom flags, permissions, and sandbox policies. It maintains multiple concurrent command stre

Pholcus is a distributed web crawler framework written in Go designed for high-concurrency data extraction. It functions as a distributed crawling orchestrator and dynamic data extraction engine, utilizing a server-client architecture to coordinate tasks across multiple nodes. The system integrates a headless browser engine to render dynamic content and execute JavaScript, allowing it to extract data from single-page applications. It features a web-based management interface for configuring spider parameters and monitoring execution progress, alongside the ability to update extraction rules v

ddgs is a metasearch engine and web content extractor that provides a toolkit for programmatically retrieving search results from DuckDuckGo. It functions as a search API server and a Model Context Protocol server to integrate web search capabilities directly into large language model environments. The project distinguishes itself by aggregating text, image, news, and video results from multiple providers into a single interface. It includes a utility for fetching URLs and converting HTML content into markdown, plain text, or structured data. The system covers a broad range of search capabil

Playwright is a comprehensive browser automation framework designed for end-to-end testing and web workflow automation. It provides a unified API to drive web applications across multiple browser engines, enabling developers to simulate complex user interactions, perform web scraping, and validate application behavior in consistent, isolated environments. The framework distinguishes itself through a web-first testing paradigm that prioritizes stability and resilience. By utilizing an auto-waiting actionability engine and accessibility-tree-based locators, it eliminates common sources of test

Trafilatura is a Python library and command-line tool for extracting clean, structured text and metadata from web pages. It downloads HTML content, identifies the main body of text, and strips away navigation, ads, and other boilerplate, returning the core article content along with fields like title, author, date, and URL. The tool can also extract user comments and test whether a page contains extractable text, making it a general-purpose web text extraction library. What distinguishes Trafilatura from simpler extractors is its configurable extraction pipeline, which offers high-speed, high

Skill Seekers is a toolset for generating large language model knowledge bases, featuring a multi-source content scraper and a dedicated RAG data pipeline. It extracts technical data from documentation, code, and video to create structured assets and configuration files for AI-powered IDE extensions. The project distinguishes itself through the ability to transform raw data into polished tutorials and specialized skills for AI plugin marketplaces. It utilizes abstract syntax tree parsing and optical character recognition to analyze GitHub repositories, PDFs, and video frames, converting these