Projects sharing features with DotnetSpider

Colly is a web scraping framework and concurrent crawler written in Go. It provides a system for traversing web pages, following links, and extracting structured data from HTML and XML documents. The framework includes a distributed scraping engine designed to spread data collection tasks across multiple instances to increase throughput. It ensures compliance with website owner policies by automatically reading and respecting robots.txt files. The system manages request lifecycles through domain-based rate limiting, concurrency controls, and session management via a stateful cookie jar. It s

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

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

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

Feapder is a Python web crawling framework designed for building scalable data extraction systems. It features a distributed spider engine and a headless browser renderer to execute JavaScript and extract content from dynamic web pages. The system includes a scalable data deduplicator to filter duplicate URLs and records during large-scale operations. A crawler monitoring system tracks the health of active scraping jobs and triggers alerts when system anomalies occur. The framework provides capabilities for task scheduling, web data extraction, and resilient workflows that allow crawling tas

Splash is a headless browser HTTP API and JavaScript rendering engine designed to convert dynamic web content into static HTML or images. It functions as a Lua-scriptable browser service that exposes browser automation and rendering capabilities through a RESTful interface for programmatic data extraction. The service distinguishes itself by allowing the execution of custom Lua scripts to automate complex user interaction sequences and page navigation. It provides the ability to switch rendering engines on a per-request basis to verify cross-browser compatibility and visual consistency. The

Crawler4j is a multi-threaded Java web crawler and spider designed for high-volume web traversal and content extraction. It functions as a polite crawling framework that enables the discovery and indexing of HTML and binary content across multiple websites. The project distinguishes itself through a persistent crawling model that serializes session state to local storage, allowing the engine to resume indexing after a crash or interruption. It includes a politeness controller to regulate request frequency and delays, preventing server overloading and IP blocking. The system covers a broad ra

nodriver is an asynchronous Chromium browser automation framework that provides headless control and web scraping capabilities. It functions as a Chrome DevTools Protocol client, allowing for granular engine control by attaching directly to the browser's debug port without the need for external driver binaries. The framework is specifically designed as an anti-bot detection bypass tool. It modifies browser fingerprints and protocol headers to evade automated security systems, handle security warnings, and bypass common obstacles like insecure connection alerts. The system covers a broad rang

This project is a reference library of architectural blueprints, study materials, and design patterns for building scalable, high-availability distributed systems. It serves as a technical guide for scalability engineering, providing structural solutions for common engineering challenges. The repository focuses on distributed systems design, covering essential patterns for data replication, consensus algorithms, and transaction management. It distinguishes itself by offering detailed blueprints for specialized domains, including real-time data streaming, large-scale data storage, and high-ava

Newspaper is a Python library designed for scraping, parsing, and analyzing web-based information. It functions as a framework for automated news aggregation and large-scale web content extraction, providing tools to download, clean, and structure text, metadata, and media from diverse online sources. The project distinguishes itself through a pipeline-oriented architecture that combines heuristic-based content extraction with natural language processing. It automatically identifies and isolates article bodies from web page boilerplate while simultaneously performing language detection, keywo

Goutte is a PHP web scraper and DOM crawler designed for extracting data from websites. It functions as an HTTP client wrapper that enables the retrieval of web pages and the parsing of HTML content. The project provides a web form automator to programmatically fill and submit HTML forms to remote servers. It also includes a mechanism for automated website crawling by following links to discover and archive web content. The system supports stateful session management to maintain cookies and headers across requests. It further covers HTML data extraction through DOM-based element selection an

This project is a Python web scraping library and automated data collection suite. It provides tools for extracting structured data from websites, implementing web crawlers to navigate site links, and parsing HTML DOM structures to isolate specific elements and attributes. The toolkit includes a pipeline for processing unstructured text and cleaning raw web content to extract meaningful information. It also features capabilities for image data extraction and the integration of external APIs to retrieve structured data from remote endpoints. The system covers broad capability areas including

Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools and libraries for parsing data, automating browsers, and managing network operations. It serves as a guide for extracting structured information from HTML, XML, JSON, and PDF formats. The toolkit focuses on advanced data collection strategies, including headless browser automation to interact with JavaScript and a suite of network utilities for DNS resolution and WebSocket connections. It specifically covers methods for bypassing bot protections through proxy pool management, us

X-ray is a headless browser web scraper and HTML content crawler designed to extract structured data from websites. It functions as a stream-based data scraper and structured data extractor, using selectors to retrieve text and attributes from HTML as nested objects or arrays. The project includes a request rate controller to manage network traffic through concurrency limits, throttles, and timeouts. It handles dynamic website scraping by rendering JavaScript via a headless browser and performs automated website crawling using breadth-first link following and pagination management. The syste

This project is a markdown web clipper and local-first web archiver. It functions as a browser extension that extracts web page content and highlights, saving them as structured markdown files for personal knowledge management and long-term preservation. The utility acts as a template-based content extractor, transforming raw website data into formatted notes. It uses custom variables and processing filters to organize how captured information is structured before it is sent to a local directory.

node-crawler is a programmable web crawler for Node.js that manages request queues and automates data extraction. It functions as a rate-limited HTTP client and a headless HTML parser, providing the infrastructure to visit large sets of URLs asynchronously while preventing duplicate processing through task deduplication. The project distinguishes itself through a proxy rotation manager that cycles user agents and proxy servers to bypass access restrictions. It utilizes the HTTP/2 protocol to improve request performance and server compatibility during large-scale scraping operations. The syst

This project is a collection of Python implementations for web scraping, network traffic interception, data analysis, and sentiment analysis. It provides methods for extracting structured data from websites and mobile application interfaces. The collection includes tools for capturing and analyzing network packets from mobile applications to identify hidden internal API endpoints. It also features scripts for evaluating the emotional tone and public perception of text data. The project covers data manipulation and transformation of large datasets, as well as the generation of charts and grap

Crawlab is a distributed web scraping platform designed to centralize the management, deployment, and execution of large-scale data extraction tasks. It functions as a control plane that orchestrates scraping scripts and automated workflows across multiple nodes, providing a unified environment for managing complex data collection operations. The platform distinguishes itself through a distributed architecture that coordinates worker nodes via a central master, utilizing real-time communication to maintain oversight of all active processes. It ensures operational consistency by isolating task

X-Ray is a web scraping framework and asynchronous web crawler designed to extract structured data from websites. It functions as an HTML data extractor that transforms raw page content into a defined schema using CSS-style selectors. The project implements a headless browser crawler capable of executing JavaScript to render dynamic content. It handles website content discovery through a breadth-first crawling strategy and automatic pagination discovery to traverse multi-page result sets. The framework manages web data pipelines using a concurrency-limited request queue and request rate cont

X-crawl is a Node.js-based web scraping framework designed to automate data collection from both static and dynamic websites. It integrates artificial intelligence to perform semantic parsing, allowing it to transform unstructured HTML into structured data formats that remain accurate even when website layouts or class names change. The project distinguishes itself through a comprehensive suite of stealth and reliability features. It manages crawler identity by randomizing device fingerprints and rotating proxy servers to bypass access restrictions. To handle complex, JavaScript-heavy interfa

ECommerceCrawlers is an educational collection of Python-based crawler scripts designed to extract data from a variety of public websites, including e-commerce platforms, social media sites, news outlets, and multimedia sources. The project serves as a learning resource for web scraping techniques, offering ready-to-run examples that demonstrate practical data extraction methods. The toolkit covers a broad range of data types, including product listings and prices from online retail platforms, public posts and profiles from social networking sites, articles from news and blogging platforms, p

This is a collection of Python scripts designed for extracting data from popular Chinese websites and mobile applications. It functions as a multi-platform data extraction toolkit, capable of automating tasks such as downloading videos from platforms like Bilibili and Douyin, scraping product reviews and images from e-commerce sites like Taobao and JD.com, and booking train tickets on the 12306 railway system. The project distinguishes itself through its focus on automating specific, high-value tasks within the Chinese internet ecosystem. It includes capabilities for solving Chinese CAPTCHA c

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

This project is an Amazon web scraper and e-commerce data extractor designed to retrieve product names, prices, and ratings. It functions as a headless browser crawler that converts unstructured web content from product listings into structured JSON and CSV formats. The tool incorporates anti-bot bypass capabilities to circumvent CAPTCHAs and security challenges. It achieves this through the use of residential proxy integration, automatic proxy rotation, and the modification of browser fingerprints to simulate human interaction patterns. The system provides broad web scraping capabilities, i

This project is a collection of Python scripts and tools designed for web scraping, browser automation, and large-scale data extraction. It provides a set of implementations for retrieving information from websites and private APIs, including tools for multimedia downloading and social media data archiving. The toolset includes specialized mechanisms for bypassing anti-scraping measures through IP proxy pool rotation and multi-threaded crawlers. It also features capabilities for simulating browser sessions to handle authentication, intercepting session cookies, and decrypting network payloads

DotnetSpider is a .NET web crawler framework and programmable tool designed for traversing websites and capturing structured data from web pages. It functions as a distributed crawling engine that enables the automation of web crawling to discover and extract data. The framework is designed for distributed data extraction, allowing crawling tasks to be spread across multiple servers to process large volumes of web content. This architecture supports high-performance web scraping and enterprise data collection workflows for gathering structured information.