Open Source ChromeOS Web Scrapers
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Web Scrapers for ChromeOS
Browse free open source Web Scrapers and projects for ChromeOS below. Use the toggles on the left to filter open source Web Scrapers by OS, license, language, programming language, and project status.
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videodl
Lightweight Python tool for downloading videos from many platforms
Videodl is a lightweight video downloader implemented entirely in Python that allows users to retrieve videos from a wide range of online media platforms. It focuses on providing a fast and simple way to parse video pages and download media files, often prioritizing high-definition versions without watermarks when available. It supports numerous video platforms across both Chinese and international streaming ecosystems, enabling users to fetch content from many popular services through a unified interface. Videodl works by implementing platform-specific client modules that extract video information and download links from supported services. Videodl can integrate with external command-line utilities to improve downloading performance, handle streaming formats such as HLS, and manage encrypted or segmented media streams. Additional utilities can also enable faster downloads, resume interrupted transfers, and process complex playlist structures. -
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Lux
Fast Go CLI tool for downloading videos from many streaming sites
Lux is an open source command-line tool designed for downloading videos from a wide variety of online media platforms. Written in the Go programming language, the project focuses on providing a fast and lightweight downloader that can retrieve media content directly from supported websites. Lux works by extracting video information from a given page and downloading the available streams to the user’s system. Lux supports downloading individual videos as well as playlists and can display multiple available quality options before the user selects which stream to download. It includes features for resuming interrupted downloads, allowing users to continue large downloads without starting over. It also provides network-related options such as proxy support and cookies to access restricted or authenticated content. With its modular architecture and command-line interface, Lux can function both as a standalone downloader and as a library. -
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Bili23 Downloader
Cross platform GUI tool for downloading videos from Bilibili sites
Bili23-Downloader is an open source desktop application designed for downloading video content from the Bilibili platform. It provides a graphical interface that allows users to download various types of media including user-uploaded videos, series episodes, movies, and other hosted content. It focuses on ease of use with a zero-configuration setup, making it accessible to both beginners and experienced users. It supports high performance downloads through multi-threading and includes resume capabilities so interrupted downloads can continue without starting over. It can parse different types of links such as standard video pages, short links, and collection or activity pages to automatically retrieve downloadable media. It also allows users to choose video resolution, audio quality, and encoding format based on the available sources. Additional features include downloading subtitles, comments, metadata, and artwork associated with videos. -
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Scylla
Intelligent proxy pool for collecting and managing public proxies
Scylla is an open source proxy pool system designed to collect, validate, and manage large numbers of public proxy servers for use in web scraping and data extraction workflows. It automatically crawls the internet to discover proxy IP addresses and evaluates their availability and reliability before adding them to a usable pool. It includes a JSON API that allows developers and applications to retrieve proxy information programmatically, making it easier to integrate proxy rotation into scraping tools or automation scripts. Scylla also runs a built-in HTTP forward proxy server that can dynamically select a recently validated proxy whenever a request is made. In addition to the API, the system provides a web-based interface where users can view available proxies and monitor their global distribution through a visual dashboard. It is commonly used by developers who need scalable proxy management when gathering data from the internet or building datasets for machine learning. -
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douyin
Open source Douyin crawler for collecting and downloading public data
DouyinCrawler is an open source data collection tool designed to gather publicly available information from the Douyin platform. It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. DouyinCrawler supports both automated scraping and batch operations to process multiple targets efficiently. It also integrates with the Aria2 download utility to enable large-scale downloading of videos and images associated with collected content. It includes multiple usage modes such as a desktop GUI, a web service interface, and a command line tool for flexible deployment. In addition to data collection, it supports incremental updates so users can track and gather newly published content without reprocessing previously collected data. -
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katana
Fast CLI web crawler for discovering endpoints in modern web apps
Katana is an open source command-line web crawling and spidering framework developed by ProjectDiscovery. It is designed to efficiently crawl websites and web applications in order to discover endpoints, resources, and other useful information that may not be easily visible through manual browsing. Katana focuses on speed and automation, making it suitable for use in security reconnaissance workflows and automated pipelines. Katana supports both standard HTTP crawling and headless browser crawling, allowing it to navigate modern web applications that rely heavily on JavaScript. Through headless browsing, it can analyze dynamic content and single-page applications built with modern frameworks, improving its ability to uncover hidden paths and assets. Katana offers flexible configuration options such as depth control, concurrency limits, and filtering mechanisms to refine results and manage scanning scope. -
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go-dork
Fast Go-based CLI scanner for running automated search engine dorks
go-dork is an open source command-line tool designed to automate search engine dorking and reconnaissance tasks. Written in the Go programming language, it focuses on speed and efficiency when executing advanced search queries across multiple search engines. It allows users to run specialized queries, often referred to as “dorks,” to discover publicly exposed data, misconfigurations, or potentially vulnerable resources. It supports several major search engines and enables users to switch between them depending on the target or query requirements. go-dork can retrieve results from multiple pages of search results and process them sequentially for broader coverage during scans. go-dork also supports custom HTTP headers and proxy configuration, which can help users work around restrictions such as captchas or filtering mechanisms. Because it is a command-line tool, it can be integrated into automation pipelines or chained with other security tools to streamline reconnaissance workflows. -
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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. Its powerful spider system supports multi-session crawling, pause and resume functionality, and real-time streaming of scraped data. Scrapling combines high performance, memory efficiency, and extensive async support to deliver blazing-fast scraping workflows. With a developer-friendly API, CLI tools, MCP server integration for AI-assisted extraction, and Docker support, it offers a complete solution for modern web scrapers. -
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MDCx
Movie metadata scraper and organizer for media libraries and NFO
MDCx is an open source media metadata scraping and organization tool designed to automate the process of collecting detailed information for movie files. It retrieves metadata from multiple online sources and applies it to local media collections, helping users maintain structured and well-organized libraries. MDCx can download information such as titles, cast data, artwork, and other metadata, then generate standardized NFO files compatible with media management systems. It also supports image processing tasks such as downloading and cropping artwork used by media centers. 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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RED HAWK
All-in-one reconnaissance and vulnerability scanning toolkit for sites
RED HAWK is an open source command-line security tool designed for information gathering, vulnerability scanning, and web reconnaissance tasks. It combines multiple scanning and analysis capabilities into a single toolkit to help security researchers and penetration testers quickly analyze a target website. It can collect a wide range of information about domains, servers, and web applications, including network details, hosting configuration, and content management system detection. It also provides vulnerability scanning features that help identify potential issues such as error-based SQL injection vulnerabilities and sensitive file exposure. RED HAWK includes utilities for performing DNS lookups, port scans, subdomain discovery, and reverse IP analysis, giving users a comprehensive view of a target environment. In addition to vulnerability detection, RED HAWK offers crawling features that gather links and metadata from websites to support deeper reconnaissance. -
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Weibo Crawler
Python crawler for collecting and downloading Sina Weibo user data
weibo-crawler is a Python-based data collection tool designed to retrieve information from Sina Weibo user accounts. It automates the process of gathering posts, user profile details, and engagement metrics from one or more target accounts. weibo-crawler can extract comprehensive information about users, including profile attributes such as nickname, follower count, following count, and account metadata. It also captures detailed data about each post, including the content, publishing time, topics, mentions, likes, reposts, and comments. In addition to textual data, the project can download original media from posts, such as images, videos, and Live Photo content. Collected data can be exported to structured formats such as CSV or JSON or stored in databases for further analysis and research. It supports incremental crawling so users can periodically collect only newly published posts, making it useful for ongoing monitoring or dataset updates. -
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crawler
Collection of JS reverse engineering examples for web scraping study
crawler is a collection of web scraping and JavaScript reverse engineering examples designed for learning how modern websites protect their data and how those protections can be analyzed. It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to reproduce API calls programmatically. 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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instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
instagram-profilecrawl is a Python-based automation script designed to collect publicly available information from Instagram profiles. It crawls profile data such as follower counts, post information, hashtags, and other engagement-related metadata. It operates by automating a web browser using Selenium and performing requests to gather structured information from the platform. instagram-profilecrawl can analyze multiple usernames in a single run and store the extracted information locally in structured formats such as JSON. The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. It also provides scripts for downloading images from crawled profiles and logging statistics into CSV files for tracking metrics like followers, likes, and comments. Authentication is optional, meaning the crawler can access public profile data without logging in. -
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lightcrawler
Website crawler that audits site pages automatically with Lighthouse
Lightcrawler is a command-line tool designed to crawl a website and run automated audits on the discovered pages using Google Lighthouse. It works by starting from a given URL and recursively exploring linked pages to collect a set of pages that should be analyzed. Each discovered page is then evaluated using Lighthouse, which performs checks related to performance, accessibility, and web development best practices. This allows developers to audit multiple pages of a site automatically instead of manually running Lighthouse on each individual page. Lightcrawler supports configuration through a JSON configuration file, enabling users to customize how the crawler operates and which Lighthouse audits should be executed. Settings such as crawl depth and the number of concurrent browser instances can be configured to control how aggressively the crawler scans a site. It was created as a developer utility to help identify issues across an entire website more efficiently. -
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mzitu
Python crawler that downloads image galleries and analyzes titles
mzitu is a Python-based web crawling project designed to automatically download and organize image galleries from a specific photography site. It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that processes downloaded folder names to generate statistics and visualizations. Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
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owllook
Vertical novel search engine with unified reading and tracking tools
Owllook is an open source vertical search engine designed for discovering and reading online novels from multiple sources. Instead of redirecting users to different sites, the system parses content from many novel platforms and presents it in a unified reading interface. It focuses on providing a simple and comfortable reading experience with features such as searching for books, following updates, bookmarking chapters, and maintaining a personal bookshelf. It aggregates results from multiple search engines and applies parsing rules to extract novel metadata, chapters, and content in a consistent format. Owllook also includes functionality for tracking reading history, displaying rankings based on search activity, and recommending books using a similarity-based approach. Owllook is built using asynchronous technologies to support efficient data retrieval and responsive interactions while reading or searching. -
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proxypool
Proxy crawler that aggregates, tests, and serves usable proxy nodes
proxypool is an open source proxy aggregation tool that automatically collects proxy node information from publicly available sources on the internet. It crawls different sources such as Telegram channels, subscription links, and publicly accessible web pages to gather proxy configurations. After collecting these nodes, proxypool processes them by removing duplicates and verifying whether each node is functional. proxypool then provides a usable list of proxy nodes that have passed availability checks. proxypool supports several popular proxy protocols, allowing it to work with multiple types of proxy infrastructures. The behavior of the crawler and the sources it scans can be configured through configuration files, enabling users to customize how nodes are gathered and maintained. It also supports scheduled crawling to continuously update the proxy list and keep the pool current with newly discovered nodes. -
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ProxyBroker
Asynchronous tool for finding and checking public proxy servers
ProxyBroker is an open source Python tool designed to automatically discover and verify public proxy servers from many online sources. It operates asynchronously, allowing it to gather and test large numbers of proxies efficiently while performing multiple checks concurrently. It collects proxy addresses from dozens of providers and evaluates whether they are functional and suitable for use. It supports several proxy protocols, including HTTP, HTTPS, SOCKS4, and SOCKS5, making it flexible for different networking and scraping scenarios. ProxyBroker can filter proxies based on criteria such as anonymity level, response time, country of origin, and DNS blacklist status. In addition to discovering and validating proxies, it can also function as a proxy server that distributes incoming requests across a rotating pool of working proxies. This capability allows users to route traffic through multiple proxies automatically, which can help with tasks. -
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bilibili-manga-downloader
Download and manage Bilibili Manga chapters with GUI downloader
BiliBili-Manga-Downloader is an open source desktop application designed to download manga chapters from the Bilibili Manga platform for offline reading and local management. It was created to address limitations of the web reading experience, such as intrusive advertisements, inconvenient image zooming, and inconsistent navigation during reading sessions. It provides a graphical user interface that allows users to search for manga titles using keywords, view detailed information about available series, and select chapters to download. BiliBili-Manga-Downloader supports multi-threaded downloading to improve performance and includes progress tracking with estimated time remaining for active downloads. It also offers multiple output formats, allowing chapters to be saved as image folders or compressed comic archive formats suitable for local manga readers. -
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goclone
Fast CLI tool for cloning entire websites for local browsing offline
goclone is a command-line utility designed to download and mirror complete websites to a local directory for offline access. It retrieves HTML pages, stylesheets, JavaScript files, images, and other assets from a target site and stores them on the user’s computer. It preserves the original site’s structure by maintaining relative links between pages, allowing the mirrored copy to function similarly to the live version when opened locally. Once a site has been cloned, users can browse the pages offline and navigate between them as if they were viewing the site online. goclone is written in Go and leverages concurrency through Go routines to perform downloads efficiently. goclone can also optionally start a local web server to serve the mirrored files for a more realistic browsing experience. The command-line interface supports configuration options such as proxy settings, custom user agents, and cookies, giving users flexibility when cloning websites. -
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grab-site
Web crawler for archiving and backing up sites into WARC archives
grab-site is an open source web crawling tool designed to archive and back up websites by recursively downloading their content. It works by taking a starting URL and systematically following links across the site, capturing pages and resources and saving them into WARC archive files for long-term preservation. Internally, the crawler uses a fork of the wpull engine to fetch and process web pages efficiently during large-scale crawls. grab-site includes a built-in dashboard that displays real-time crawl activity, including which URLs are currently being processed and how many remain in the queue. Users can dynamically apply ignore patterns during an active crawl, allowing them to skip problematic or unnecessary URLs that could slow down or block the archiving process. grab-site also provides predefined ignore sets for common site structures such as forums and other complex web platforms. Additional mechanisms like duplicate page detection help avoid re-crawling identical content. -
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img2dataset
Easily turn large sets of image urls to an image dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports saving captions for url+caption datasets. Opt-out directives: Websites can pass the http headers X-Robots-Tag: noai, X-Robots-Tag: noindex , X-Robots-Tag: noimageai and X-Robots-Tag: noimageindex By default img2dataset will ignore images with such headers. -
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. Once trained, the generated scraper can process new pages and return the extracted data in structured formats such as dictionaries or lists. This approach simplifies web scraping tasks by shifting the focus from rule-writing to example-based training. Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows. -
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python-fxxk-spider
Collection of 100+ Python web scraping projects and crawler examples
python-fxxk-spider is a curated collection of Python web scraping and crawler projects gathered in a single repository for reference and learning. It aggregates many independent scraping examples that target a wide range of websites, online services, and public data sources. Instead of being a single crawler tool, it functions as a catalog of ready-made Python spider implementations that demonstrate different scraping techniques. python-fxxk-spider includes scrapers for social media, e-commerce platforms, job listings, music services, video platforms, and various content sites. Because websites frequently change their structure, some included projects may require adjustments before they can run successfully. It is designed as a long-term, continuously updated list of practical crawler implementations that developers can study, modify, and adapt to their own scraping tasks. It also highlights the importance of legal and responsible use of web scraping technologies. -
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sqliv
Massive SQL injection vulnerability scanner for automated web testing
SQLiv is a command-line security tool designed to identify SQL injection vulnerabilities in web applications through automated scanning techniques. Written primarily in Python, the project focuses on discovering potentially vulnerable web pages by analyzing URLs that contain database query parameters. It can perform large-scale scanning by using search engine queries known as SQL injection dorks to collect candidate websites and then test them for vulnerabilities. In addition to bulk scanning, SQLiv supports targeted analysis of specific domains or individual URLs, allowing security researchers to focus on particular web applications. When a domain is supplied, the scanner can crawl the site to gather URLs with parameters and evaluate them for potential SQL injection weaknesses. SQLiv also supports reverse domain scanning to locate other websites hosted on the same server, which can then be examined for similar vulnerabilities.
