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DotnetSpider is a .NET web crawling framework and C# data extraction tool designed for automated web page discovery and the retrieval of structured data from the internet at scale. It functions as a high-level web scraping library for collecting information from various websites.
The main features of dotnetcore/dotnetspider are: Multi-Page Crawling, Web Content Extraction Utilities, Concurrent Scraping Workers, Large Scale Extraction, URL Crawl Queues, Web Data Scraping, Data Extraction Tools, Web Automation Frameworks.
Projects with overlapping indexed features include: code4craft/webmagic — Webmagic is a Java web crawling framework designed for building scalable automated crawlers to download and process… apify/crawlee-python — Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive… kr1s77/awesome-python-login-model — This project is a Python-based automation toolkit designed to manage programmatic authentication and session… asciimoo/colly — Colly is a web scraping framework and concurrent crawler written in Go. It provides a system for traversing web pages,… any4ai/anycrawl — AnyCrawl is an AI-powered data extractor, automated web crawler, and headless browser orchestrator. It serves as a web… binux/pyspider — PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for…
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
Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive tool for web scraping automation, providing a system to extract structured data from websites using both lightweight HTTP requests and headless browser automation. The framework is distinguished by its anti-bot evasion capabilities, which include browser fingerprint impersonation and tiered proxy rotation to bypass detection systems and solve challenges such as Cloudflare. It also incorporates artificial intelligence for autonomous website navigation and schema-based data extra
This project is a Python-based automation toolkit designed to manage programmatic authentication and session persistence across web services. It provides a framework for executing automated login sequences, including the handling of interactive security challenges such as QR code verification and captcha resolution. The toolkit distinguishes itself by simulating native mobile application environments, allowing for the execution of scripts that require specific device-level headers and behaviors. It also incorporates hook-based interception to monitor workflow states and manage exceptions duri
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