Open-source alternatives to Goquery

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

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

parse5 is a WHATWG HTML parser and serializer for Node.js. It transforms HTML strings into a document object model and converts those trees back into valid HTML strings, following the logic defined by the HTML Living Standard. The project functions as a streaming HTML processor, using incremental parsing to handle large documents in chunks. It includes an HTML5 compliant tokenizer that uses a state-machine approach to break input into tokens according to official web specifications. The toolset covers HTML document parsing, serialization, and real-time rewriting via streams. These capabiliti

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

php-simple-html-dom-parser is a PHP library for parsing HTML documents into a traversable in-memory tree that handles malformed markup gracefully. It constructs a complete object graph from raw HTML strings while retaining document structure and relational node hierarchies, and supports lazy child node iteration to load descendant nodes on demand for large documents. The library features a CSS selector query engine that translates selector expressions to locate and filter matching nodes within the parsed DOM tree. Programmatic accessors provide direct string-based attribute retrieval to extra

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

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

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

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

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

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 serves as a comprehensive development guide for the jQuery library, focusing on best practices and techniques for efficient web frontend development. It provides a structured collection of patterns for manipulating the document object model, managing dynamic content, and streamlining asynchronous data requests. The guide emphasizes performance and maintainability by detailing strategies for optimizing element selection, implementing event delegation, and managing element state. It covers methods for resolving library conflicts, standardizing layout dimensions, and controlling bro

Gop is a general purpose programming language and cross-language compiler designed to unify assets and libraries from multiple programming ecosystems into a single shared environment. It translates high-level source code into executable binaries using specialized backends tailored for different target environments. The project features a system for natural language programming, transforming human-readable instructions written in plain English into executable code. It also functions as a cross-language tool that imports and integrates external libraries and assets from different language ecosy

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

This is a vanilla JavaScript DOM manipulation library that provides a collection of native methods for selecting, creating, and modifying HTML DOM elements without any framework dependencies. It operates directly on the live DOM tree using imperative JavaScript calls, wrapping standard browser DOM APIs into reusable utility functions. The library covers the full spectrum of DOM operations including element selection, creation, removal, content and attribute management, event handling, style and class manipulation, and DOM traversal. It includes approaches for cross-browser DOM compatibility,

Pattern is a Python web mining library that functions as an HTML web scraper, a natural language processing toolkit, and a network analysis tool. It provides a mathematical framework for categorizing datasets through a vector space model library. The project enables the extraction of structured data from web services and the creation of searchable web content indexes. It processes unstructured text using sentiment analysis, part-of-speech tagging, and n-gram searching. The library covers machine learning classification through the training of models using perceptron algorithms and support ve

HTML-Renderer is a managed C# library that processes HTML and CSS content to render desktop user interfaces, generate image files, and export PDF documents. Built entirely in managed code without external native dependencies, the library parses markup into a structured document object model, applies cascading style rules, and computes virtual box layouts directly in memory. The rendering pipeline features a direct bitmap rasterisation engine that draws styled layouts straight onto graphics targets and document canvases, along with a dedicated pagination engine that splits continuous layouts a

Gumbo-parser is a high-performance HTML5 parsing library written in pure C99. It transforms raw markup into a structured document tree by implementing the formal state-machine tokenization and error recovery rules defined in the HTML5 specification. The project serves as an HTML source mapping tool, linking parsed nodes back to their original byte offsets and pointers within the input buffer. This allows for the precise tracking of source locations for elements within the resulting parse tree. Beyond full document processing, the library handles isolated HTML fragments and provides a C-based

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

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

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

Autoscraper is an automatic web scraping library and pattern-based data extractor that learns extraction rules from sample data. It identifies and retrieves text, URLs, and HTML elements from web pages by analyzing sample values to replicate data patterns across different URLs. The system functions as a web scraping model manager, allowing users to save and reload learned rules to maintain consistent data extraction. It supports the export and import of scraping rules to a local file system to avoid repeating the training process for the same website. The library covers automated web data ex

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

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

Robobrowser is a Python web scraping library that provides a headless browser emulator and an HTML DOM parser. It is designed to programmatically navigate websites, interact with HTML forms, and extract data from web pages. The tool includes a web request caching mechanism to store previously fetched web content, reducing network traffic and increasing loading speeds for repeated requests. It covers capabilities for automated web navigation, programmatic web scraping, and web form automation, including the ability to populate input fields and trigger submission events. The system also manage

A sizzlin' hot selector engine.

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