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 reference guide and collection of implementation patterns for replacing legacy libraries with native JavaScript. It provides a vanilla JavaScript reference guide, a modern web API cookbook, and a DOM manipulation cheat sheet to help migrate frontend dependencies to standard browser APIs. The project focuses on mapping library functions to native interfaces for DOM manipulation, network requests, and event handling. It includes a utility pattern library for common tasks such as string cleaning, type checking, and element styling. The covered capabilities include DOM element
Nokogiri is an XML and HTML parsing library that builds navigable document trees from strings, files, or URLs using native C parsers for speed and standards compliance. It provides a CSS selector engine that translates CSS3 selectors into XPath expressions for querying nodes, an XPath query interface with namespace support, a document manipulation toolkit for modifying parsed documents, XSD schema validation, and XSLT transformation capabilities. The library wraps libxml2 and libxslt C libraries with Ruby bindings for high-performance parsing, and integrates Google's Gumbo parser for standard
AngleSharp is an HTML5 DOM parser and web scraping framework designed to parse HTML5, SVG, and MathML documents into a W3C compliant document object model. It functions as a programmatic HTML generator and a CSS selector engine for querying and locating specific elements within a DOM. The project provides tools for simulating browser environments to automate web interactions, navigate URLs, and submit forms. It includes a dedicated HTML and CSS minifier to reduce the file size of web assets by removing unnecessary characters. The library supports HTML DOM manipulation and the extraction of s
Cheerio is an HTML and XML parsing library and server-side DOM implementation. It functions as a markup manipulation tool and CSS selector engine, allowing users to parse, query, and modify HTML or XML documents in non-browser environments.
Die Hauptfunktionen von cheeriojs/cheerio sind: Markup Parsers, HTML and XML Parsing, HTML Parsing, HTML Manipulation, Markup Extraction, Content Extraction, Output Format Rendering, Web Data Extraction.
Open-Source-Alternativen zu cheeriojs/cheerio sind unter anderem: apify/crawlee-python — Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive… oneuijs/you-dont-need-jquery — This project is a reference guide and collection of implementation patterns for replacing legacy libraries with native… sparklemotion/nokogiri — Nokogiri is an XML and HTML parsing library that builds navigable document trees from strings, files, or URLs using… anglesharp/anglesharp — AngleSharp is an HTML5 DOM parser and web scraping framework designed to parse HTML5, SVG, and MathML documents into a… jhy/jsoup — Jsoup is a Java library designed for parsing, extracting, and manipulating HTML and XML content. It provides a… lorien/web-scraping — This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools…