Open-source alternatives to Cheerio

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

Jsoup is a Java library designed for parsing, extracting, and manipulating HTML and XML content. It provides a document object model that represents web content as a hierarchical tree, allowing for programmatic navigation and modification of elements, attributes, and text. The library functions as a toolkit for web scraping, enabling the retrieval of remote content via standard web protocols and the management of HTTP sessions for automated form interaction. The library distinguishes itself through its fault-tolerant tokenization, which reconstructs valid document structures from malformed or

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

goquery is a Go HTML parsing library and CSS selector engine used to isolate and retrieve specific text or attributes from HTML documents. It functions as an HTML DOM manipulator that converts raw HTML strings into a structured tree for programmatic navigation and search. The library provides a fluent interface for chaining selection and filtering operations and utilizes a wrapper-based abstraction to simplify data extraction and manipulation of nodes. It employs an iterator-based processing mechanism to apply operations to every node within a matched selection. Its primary capabilities cove

SwiftSoup is a cross-platform HTML processing library for Swift that converts raw HTML or XML strings and files into a structured document object model. It provides the core infrastructure to parse web content into a traversable tree, enabling programmatic access to page elements across iOS, macOS, and Linux. The library features a CSS selector engine for data extraction and a whitelist-based sanitization system to remove unsafe tags and attributes from user-submitted content. It optimizes repetitive document queries through memoized query caching. The project covers DOM manipulation for upd

This repository contains the HTML specification, which defines the core standards for web page structuring, content organization, and document rendering. It establishes the fundamental algorithms for state-machine-based tokenization, tree construction for the document object model, and origin-based security isolation. The specification provides a framework for defining custom elements with independent lifecycles and registries. It also details the requirements for cross-document communication, session history management, and the synchronization of interface properties with content attributes.

jsdom is a Node.js DOM implementation that functions as a headless browser emulator and virtual browser environment. It provides a pure JavaScript implementation of web standards, acting as a web standards polyfill that simulates the window and document objects within a non-browser runtime. The project implements W3C and WHATWG specifications to provide a programmatic environment for parsing HTML and manipulating content. It serves as an HTML parser and serializer, allowing for the transformation of HTML strings into document structures and the export of those structures back into text. The

Cash is a lightweight JavaScript library for selecting and modifying HTML elements in modern browsers. It functions as a chainable element wrapper and DOM manipulation utility, providing a minimal alternative for managing browser DOM operations. The library uses a collection-based wrapper for DOM nodes, allowing multiple modifications and style updates to be performed in a single sequence. It is designed to provide a similar API for event handling and element management while maintaining a small footprint. The project covers a wide range of DOM manipulation capabilities, including element se

This project is an HTML and XML DOM parser designed for loading and navigating the structure of web documents to extract specific data points. It functions as a web scraping utility that provides a system for locating precise elements using a CSS and XPath selector engine. The library includes a URI resolver that converts relative links found in documents into absolute addresses using a base URI. It provides a set of tools for retrieving text, attributes, and media sources from parsed content. The toolset covers document hierarchy traversal, selector-based filtering, and text extraction with

CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network

Pup is a command line tool for extracting and filtering data from HTML documents using CSS selectors. It functions as a parser and selector engine that isolates specific elements based on tags, IDs, classes, and attributes. The project provides utilities for converting selected HTML nodes into plain text, attribute values, or structured JSON objects. It includes a markup formatter that corrects missing tags and applies consistent indentation to improve the readability of HTML documents. The tool handles the retrieval of text content and attributes through a CSS selector engine, supporting co

This project is a comprehensive educational guide and framework for building web scrapers using Python. It provides a course-based approach to data extraction, combining a Python crawler framework with tutorials on web reverse engineering and network traffic analysis. The project distinguishes itself by covering advanced extraction challenges, including the decryption of obfuscated JavaScript and the bypass of anti-scraping measures. It specifically addresses mobile application scraping through the simulation of user interactions and the interception of network traffic. The capability surfac

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

PHP HTML Parser is a server-side programming library and DOM parser designed to ingest markup documents and structure them into a navigable parent-child object tree. The library provides a stream-based character lexer and a configurable rule engine that manages parser strictness, whitespace preservation, tag closing behavior, and character encoding detection during document ingestion. Content loading is handled through a pluggable retrieval layer that accepts local file paths, raw strings, and remote network URLs. Once loaded, documents can be queried using a chainable CSS selector engine th

jsdom is a Node.js implementation of web standards that functions as a headless browser emulator. It provides a JavaScript execution environment and an HTML and XML parser to simulate a browser environment on the server side, implementing various web APIs and W3C standards. The project distinguishes itself by providing a sandboxed runtime for executing scripts embedded in HTML or external files. It includes specialized polyfills for the Canvas API and manages session state through HTTP cookie management. Its broader capabilities cover network interaction via request interception and resource

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

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

Ripme is a batch media downloader and web media scraper designed for extracting images and videos from image-hosting platforms and social media sites. It functions as an image gallery downloader and a network client capable of retrieving full albums and paginated content. The project includes a custom media ripper framework that allows for the definition of new extraction rules to support websites lacking native support. It features a proxy-enabled network layer for routing requests through HTTP or SOCKS servers and supports session-based content retrieval using authentication cookies and cus

scrape-it is a Node.js web scraper and HTML parser designed to extract structured data from websites and HTML files. It functions as a web data extraction tool that retrieves specific information from DOM elements and converts web content into usable data fields. The tool uses CSS selectors to target specific data points and employs schema-driven data mapping to organize unstructured web text into a consistent format. It supports custom value transformation to convert raw extracted strings into specific data formats. The system provides capabilities for web data extraction and automated cont

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

htmlparser2 is a collection of tools for high-performance markup parsing, DOM manipulation, and incremental stream processing. It functions as an HTML and XML parser that converts markup strings into structured object trees, alongside a streaming markup parser designed for memory-efficient processing of large documents. The project includes a DOM manipulation library for querying, modifying, and serializing document object model trees. It also provides a web feed parser to extract structured metadata and entries from RSS, RDF, and Atom feeds. The library covers broad capabilities in data par

htmlq is a suite of command-line utilities for querying and extracting data from HTML documents using CSS selectors. It functions as a query language tool for HTML structures and attributes, providing a way to retrieve specific information from documents via the terminal. The tool provides capabilities for extracting text content, specific HTML attributes, and document fragments. It includes an HTML document formatter for cleaning and reformatting output with consistent indentation, as well as utilities for stripping tags to isolate plain text. The software handles structural HTML processing

PDF-Extract-Kit is a document extraction toolkit designed to convert PDF documents into structured formats such as Markdown, HTML, and LaTeX. It functions as a multi-stage parsing framework that combines a document layout analyzer, a formula recognition engine, an OCR text extractor, and a table extraction system. The project focuses on recovering complex document elements by translating images of mathematical formulas and tabular structures into editable source code. It utilizes model-driven layout analysis to identify structural elements in reports and textbooks while ignoring noise like wa

Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction and parallel browser automation. It controls Chromium-based browsers via direct WebSocket connections, allowing it to manage isolated browser contexts and tabs while bypassing the overhead and detection associated with WebDriver. The project features an anti-bot evasion framework that mimics natural human behavior, including mouse movements generated via Bezier curves and variable typing patterns. It provides specialized stealth capabilities to bypass behavioral analysis and au

Apache JMeter is a Java-based performance testing tool and multi-protocol traffic simulator used to analyze the stability and scalability of servers and networks. It functions as a distributed load testing framework that coordinates remote worker nodes from a single controller to generate high volumes of concurrent traffic. The project is distinguished by its ability to simulate traffic across diverse backend systems, including HTTP, JDBC, LDAP, JMS, FTP, and TCP. It provides a headless command-line interface for automated execution and a reporting system that transforms raw sample logs into

Automa is a browser-based automation platform that enables users to build, schedule, and execute repetitive web tasks through a visual, no-code interface. By operating as a browser extension, it provides a canvas-based environment where users construct workflows by connecting functional blocks to interact with web elements, manage browser state, and process data. The platform distinguishes itself through its deep integration with the browser environment, allowing for complex orchestration such as event-driven triggers, cross-origin request handling, and the ability to package workflows as sta