Projects sharing features with Pyquery

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

You want to start scraping? Well this guide will teach you, and not some baby selenium scraping. This guide only uses raw requests and has examples in both python and kotlin. Only basic programming knowlege in one of those languages is required to follow along in the guide.

Supercrawler is a Node.js web crawler. It is designed to be highly configurable and easy to use.

Browser-use is a framework for building autonomous agents that navigate, interact with, and extract data from web interfaces using natural language instructions. By acting as an orchestration layer between large language models and browser automation protocols, it enables the execution of complex, multi-step workflows without relying on brittle selectors. The system functions as a headless browser controller, providing a programmatic interface to manage browser instances and execute granular interactions. The project distinguishes itself through its ability to translate high-level intent into

simplecrawler is designed to provide a basic, flexible and robust API for crawling websites. It was written to archive, analyse, and search some very large websites and has happily chewed through hundreds of thousands of pages and written tens of gigabytes to disk without issue.

A high-level distributed crawling framework.

a small library for extracting rich content from urls

A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.

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

Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js.

MechanicalSoup is a Python web automation library designed to simulate browser behavior. It functions as a toolkit for web scraping and automation, providing an HTML parsing engine and an HTTP session manager to interact with websites programmatically. The library enables headless web interaction by mimicking a real user session. It manages persistent state through cookie handling and automatic redirect following, allowing for programmatic website navigation and the simulation of complex browser interactions. Its capabilities cover automated form population and submission using CSS selectors

Standards-compliant library for parsing and serializing HTML documents and fragments in Python

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

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

snscrape is a Python-based social media web scraper and crawler designed to extract public posts, profiles, and hashtags from social networks without the use of official APIs. It functions as an archival tool and a utility for open-source intelligence data collection, allowing for the gathering of publicly available information to investigate trends and people. The tool facilitates social media data extraction for research and archival purposes, enabling the creation of historical records of conversations and user activity. It supports workflows for academic social analysis and the export of

Pythonic HTML Parsing for Humans™

A tiny CSS parser

Parse feeds in Python

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

Web Scraping Framework

Trafilatura is a Python library and command-line tool for extracting clean, structured text and metadata from web pages. It downloads HTML content, identifies the main body of text, and strips away navigation, ads, and other boilerplate, returning the core article content along with fields like title, author, date, and URL. The tool can also extract user comments and test whether a page contains extractable text, making it a general-purpose web text extraction library. What distinguishes Trafilatura from simpler extractors is its configurable extraction pipeline, which offers high-speed, high