Search Results for "scraping"
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Showing 278 open source projects for "scraping"
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Web Scraping for Laravel
Laravel adapter for Roach, the complete web scraping toolkit for PHP
This is the Laravel adapter for Roach, the complete web scraping toolkit for PHP. Easily integrate Roach into any Laravel application. The Laravel adapter mostly provides the necessary container bindings for the various services Roach uses, as well as making certain configuration options available via a config file. The Laravel adapter of Roach registers a few Artisan commands to make out development experience as pleasant as possible. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
Kimurai is an open source web scraping framework written in Ruby that simplifies the process of building automated data extraction tools. It provides a clean domain-specific language that allows developers to define scraping logic and data schemas with minimal boilerplate code. Kimurai can use AI-assisted extraction to identify where data resides in HTML pages, automatically generating selectors that are cached for future use so subsequent scraping runs operate with pure Ruby performance. ... -
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Price-Tracking-Web-Scraper
An automated price tracker that uses bright data
...Credentials are supplied through a local configuration file rather than being embedded directly into the scraping code. -
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
...Data can be stored with CSV, MySQL, or MongoDB examples. More advanced material explores anti-scraping defenses, JavaScript analysis, WebSocket data, and distributed crawlers. The repository includes practical source-code examples for scraping several real-world websites and services. -
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wombat
Lightweight Ruby DSL for scraping structured data from web pages
...The DSL approach helps make scraping definitions more readable and maintainable, especially when dealing with multiple fields or nested data structures. Because it is implemented as a Ruby library, it integrates easily into Ruby applications and scripts that need to gather information from web pages. Wombat also includes examples and tests that demonstrate how scraping definitions can be written and executed within Ruby environments. -
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Kazumi
Flutter-based, rule-driven anime collection
Kazumi is a cross-platform “anime (番剧)” fetching and streaming application built with Flutter. It allows users to define custom scraping rules using XPath-style selectors (up to five lines) to collect anime metadata and streaming sources. The app supports streaming with real-time super resolution (via Anime4K), danmaku (on-screen comments), multiple video sources, offline caching, and even collaborative watching modes. It targets many platforms (Android, iOS, Windows, macOS, Linux) and supports custom rule importing and sharing. ... -
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skycaiji
Open source web scraping system for automated data collection tasks
SkyCaiji is an open source web scraping and data collection system designed to gather information from websites through configurable extraction rules. It focuses on simplifying the process of building crawlers by allowing users to visually define scraping rules rather than writing complex code. It can collect structured or unstructured data from many types of webpages and automate the extraction process for large datasets. -
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rvest
Simple web scraping for R
rvest helps you scrape (or harvest) data from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like beautiful soup and RoboBrowser. If you’re scraping multiple pages, I highly recommend using rvest in concert with polite. The polite package ensures that you’re respecting the robots.txt and not hammering the site with too many requests. -
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Robin
AI-powered tool for dark web OSINT search and investigation
...The tool helps refine investigative queries, collect results from multiple dark web sources, and filter relevant intelligence using AI-driven processing. Robin also performs scraping of discovered pages through Tor sessions, allowing users to gather additional context from dark web sites while maintaining the required network routing. By integrating AI models, the platform can interpret results, highlight key information, and produce summaries that help analysts understand findings faster. The project provides a modular architecture separating search, scraping, and AI processing components so it can be extended with new data sources. -
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crawler
Collection of JS reverse engineering examples for web scraping study
...Many examples illustrate techniques such as debugging scripts, intercepting requests, analyzing encrypted parameters, and understanding authentication flows. crawler also explores common anti-scraping defenses and demonstrates how developers can examine them through debugging tools and reverse engineering techniques. -
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X-Crawl
Flexible Node.js AI-assisted crawler library
A high-performance web crawling and scraping framework for Node.js, designed for large-scale data extraction. -
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ScrapeGraphAI
Python scraper based on AI
Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you. -
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LLM Scraper
Extract structured data from webpages using LLM-powered scraping
...Multiple content processing modes are supported, including raw HTML, cleaned HTML, Markdown, extracted text, screenshots, and custom inputs, making it adaptable to a wide range of scraping scenarios. LLM Scraper also provides streaming output and code generation capabilities that help developers build reusable scraping workflows. -
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Colly
Elegant Scraper and Crawler Framework for Golang
...Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses. Robots.txt support. Google App Engine support. -
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Roach
The complete web scraping toolkit for PHP
Roach is a complete web scraping toolkit for PHP. It is a shameless clone heavily inspired by the popular Scrapy package for Python. Roach allows us to define spiders that crawl and scrape web documents. But wait, there’s more. Roach isn’t just a simple crawler, but includes an entire pipeline to clean, persist and otherwise process extracted data as well. It’s your all-in-one resource for web scraping in PHP. -
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Scrapling
An adaptive Web Scraping framework
Scrapling is an adaptive web scraping framework designed to handle everything from a single HTTP request to large-scale, concurrent crawls. Built for modern websites, it intelligently adapts to structural changes by automatically relocating elements when page layouts update. The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. -
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HeadlessX
The undetected self-hosted browser automation platform
HeadlessX is an open-source, self-hosted browser automation platform designed to run headless browsers for tasks such as web scraping, automation, and testing. The system provides a centralized service that allows developers to programmatically control browser sessions and extract data from websites through a structured API. It is built using modern technologies including Node.js, Next.js, TypeScript, and Playwright, and uses a specialized browser engine called Camoufox based on Firefox. ... -
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Scweet
Scrape tweets, profiles, followers and following from Twitter/X
Scweet is a Python-based Twitter/X scraping library and CLI designed to collect tweets, profile timelines, followers, following lists, and user profile data without requiring the official Twitter/X API or a developer account. Instead of depending on deprecated unauthenticated scraping methods, it works by using X’s web GraphQL API together with authenticated browser cookies, which gives it a more current and practical approach for data extraction. -
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Python Code Tutorials
The Python Code Tutorials
Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. ... -
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MDCx
Movie metadata scraper and organizer for media libraries and NFO
...It includes several interfaces, allowing users to operate it through a graphical desktop application, a browser-based web interface, or command-line utilities depending on their workflow. Its architecture separates core scraping logic from the user interfaces, allowing the same metadata processing system to be reused across different modes. -
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Ulixee Hero
The web browser built for scraping
It's the first modern headless browsers designed specifically for scraping instead of just automated testing. Hero provides access to the W3C DOM specification without the need for Puppeteer's complicated evaluate callbacks and multi-context switching. We've recreated a fully compliant DOM directly in NodeJS allowing you bypass the headaches of previous scraper tools. The powerful Chrome engine sits under the hood, allowing for lightning fast rendering. -
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webclaw
Fast, local-first web content extraction for LLMs
webclaw is a high-performance web content extraction tool designed specifically for AI agents and large language models, focusing on delivering clean, structured data instead of raw HTML. It is built in Rust and operates without a headless browser, using advanced techniques such as TLS fingerprinting to bypass common scraping barriers and mimic real browser behavior. The tool addresses a major inefficiency in AI workflows by removing irrelevant elements like navigation menus, ads, and scripts, significantly reducing token usage when feeding data into language models. It supports multiple modes of operation, including CLI usage, REST API access, and an MCP server for direct integration with agent-based systems. ... -
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Linkedin Scraper
A library that scrapes Linkedin for user data
Linkedin Scraper is a library that scrapes Linkedin for user data. Version 2.0.0 and before is called linkedin_user_scraper and can be installed via pip3 install --user linkedin_user_scraper. The reason is that LinkedIn has recently blocked people from viewing certain profiles without having previously signed in. So by setting scrape=False, it doesn't automatically scrape the profile, but Chrome will open the linkedin page anyways. You can login and logout, and the cookie will stay in the... -
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Zendriver
A blazing fast, async-first, undetectable webscraping
Zendriver is a modern Python web automation and scraping framework that leverages the Chrome DevTools Protocol to provide fast, asynchronous control over real browser instances. Unlike traditional tools that rely on Selenium or WebDriver, Zendriver communicates directly with the browser through CDP, enabling higher performance and more precise control over browser behavior. The framework is designed to be difficult to detect by anti-bot systems, making it suitable for advanced scraping and automation use cases where stealth is important. ... -
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Browserless
Deploy headless browsers in Docker
...It lets developers connect existing Puppeteer and Playwright code to remote browser sessions over WebSocket, which helps move heavy browser work away from local machines or application servers. The project also provides REST APIs for common automation tasks such as screenshots, PDF generation, scraping, crawling, and content export. Browserless is useful for teams that need scalable browser execution for testing, data collection, rendering, or AI-agent browsing workflows. Its deployment model supports self-hosting, private infrastructure, queues, concurrency controls, and enterprise-oriented configuration. The project’s main value is turning browser automation into a managed service layer that can be reused across applications and workflows.
