Open Source BSD Web Scrapers
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Web Scrapers for BSD
Browse free open source Web Scrapers and projects for BSD 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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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing. -
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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. SkyCaiji is designed to run on a variety of hosting environments including local machines, shared hosting environments, and cloud servers. It integrates with content management systems so collected data can be published automatically without manual intervention. SkyCaiji also supports automated workflows that continuously gather data and process it based on defined collection rules. Its architecture enables users to build scalable web scraping pipelines that can run unattended once configured. -
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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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fess
Open source enterprise search server for websites, files, and data
Fess is an open source enterprise search server designed to provide powerful full-text search capabilities across multiple data sources. It enables organizations to quickly deploy a scalable search environment without requiring deep knowledge of underlying search technologies. Fess is built on top of OpenSearch and offers an integrated solution for crawling, indexing, and searching documents from websites, file systems, and various data stores. Fess includes a built-in crawler that can collect content from sources such as databases, CSV files, and shared storage, making it suitable for centralized knowledge discovery. It supports indexing and searching across many document formats including office documents, PDFs, and compressed archives. It also provides a web-based administrative interface that allows administrators to configure crawling targets, manage indexing tasks, and adjust search settings from a graphical dashboard. -
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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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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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ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
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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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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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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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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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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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Pydoll
Async Python library in automating Chromium browsers without WebDriver
Pydoll is a Python library designed for automating Chromium-based web browsers such as Chrome and Edge without relying on a traditional WebDriver layer. Instead of using external drivers, it connects directly to the Chrome DevTools Protocol through WebSocket, allowing scripts to control browser behavior more efficiently and with fewer compatibility issues. It provides a high-level API that simplifies common browser automation tasks while still offering access to low-level protocol features for advanced control. Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions. -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available endpoints. Its architecture includes components for configuration management, download orchestration, and client communication, allowing users to automate the retrieval of manga chapters or entire albums. It includes command-line functionality and configuration files so users can customize download behavior, directory structures, and performance settings without modifying code. It also supports plugin-based extensions that allow additional processing. -
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Spider
High-performance Rust web crawler and scraper for large-scale data
Spider is a high-performance web crawler and web scraping library written in Rust that enables developers to crawl and index websites efficiently. It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools. -
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bt-btt
Guide and resources for accessing and using the U3C3 BitTorrent site
BT-btt is a repository that provides information and guidance related to the U3C3 BitTorrent resource site and its magnet-based content search ecosystem. It primarily serves as documentation describing how the site works, how users can access it, and how magnet link resources are organized and retrieved. It explains how BitTorrent and magnet link downloads operate, including the role of trackers and distributed hash table (DHT) networks in locating peers and downloading files. BT-btt also discusses different ways users can search for torrent resources, including strategies for improving search results when dealing with multiple language variants or different character encodings. Additional documentation explains why certain statistics such as active download counts may not always be accurate when DHT-based downloads are used. -
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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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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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crawlergo
Headless Chrome crawler for collecting URLs for vulnerability scans
crawlergo is a browser-based web crawler designed to collect URLs and request data that can be used by web vulnerability scanning tools. It uses a Chrome headless environment to render web pages and observe behavior during the DOM rendering stage in order to capture as many accessible endpoints as possible. By monitoring the page lifecycle and interacting with web elements, the crawler automatically triggers JavaScript events and navigational actions that would normally occur during real user interaction. It also automatically fills and submits forms, helping discover hidden routes or parameters that might otherwise be missed by traditional crawlers. crawlergo includes a built-in URL de-duplication system that removes repeated or pseudo-static links while maintaining fast crawling speeds for large websites. crawlergo also analyzes page content to extract links and resources from multiple sources, including JavaScript files, comments, and configuration files. -
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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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pxer
Pixiv crawler userscript for downloading artwork and galleries easily
Pxer is an open source tool designed to help users collect and download artwork from the Pixiv illustration platform. It is implemented primarily in client-side JavaScript and runs directly in the browser through a userscript environment, allowing it to integrate seamlessly with Pixiv pages. Pxer provides functionality to crawl and gather images, artwork metadata, and other related content from supported Pixiv pages. It is designed to be accessible even for users who are not developers, emphasizing ease of use and quick setup through browser extensions such as Tampermonkey. Once installed, Pxer adds controls to compatible Pixiv pages so users can trigger batch retrieval of illustrations and related assets. It focuses on making it easier to obtain large collections of artworks from artists, bookmarks, rankings, and search results. Its browser-based approach means the tool can operate without requiring a standalone desktop application while still providing powerful scraping. -
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rnet
Python HTTP client with TLS and HTTP/2 fingerprint emulation support
rnet is an ergonomic and modular Python HTTP client designed for developers who need advanced control over network requests and protocol behavior. It provides a flexible API for making HTTP requests while supporting both asynchronous and blocking workflows, allowing it to integrate easily into different Python applications and runtimes. rnet focuses on low-level protocol customization, giving users fine-grained control over TLS and HTTP/2 configuration in order to emulate specific browser behaviors. This includes support for TLS fingerprinting techniques such as JA3 and JA4 as well as detailed HTTP/2 settings, enabling more accurate simulation of real client network traffic. It is powered by the underlying wreq engine and is built with performance and modularity in mind. rnet also supports advanced networking capabilities such as proxy rotation, connection pooling, and streaming transfers, which make it suitable for automation, scraping, and high-performance network. -
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The archive-crawler project is building Heritrix: a flexible, extensible, robust, and scalable web crawler capable of fetching, archiving, and analyzing the full diversity and breadth of internet-accesible content.
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FEAPDER
Powerful Python crawler framework for scalable web scraping tasks
feapder is a Python-based web crawling framework designed to simplify the process of building scalable and efficient web scrapers. It focuses on providing a developer-friendly environment that makes it easier to create, run, and manage crawlers for a variety of data collection tasks. It includes several built-in spider types, such as AirSpider, Spider, TaskSpider, and BatchSpider, which address different crawling scenarios ranging from lightweight scraping to distributed and batch-based jobs. feapder supports features such as breakpoint resume, allowing crawlers to continue from where they stopped without losing progress. It also integrates monitoring and alerting capabilities to help developers track crawler performance and detect issues during execution. feapder includes browser rendering support for handling dynamic web pages and provides mechanisms for large-scale data deduplication during crawling. -
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. GoogleScraper also includes capabilities for running multiple scraping tasks concurrently to improve performance and increase the amount of collected data.
