Open Source Python Web Scrapers
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Python Web Scrapers
View 201 business solutionsBrowse free open source Python Web Scrapers and projects below. Use the toggles on the left to filter open source Python Web Scrapers by OS, license, language, programming language, and project status.
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Kemono Downloader
Kemono Downloader - A cross-platform Python app built with PyQt6
Welcome to Kemono Downloader, a versatile Python-based desktop application built with PyQt6, designed to download content from Kemono.su. This tool enables users to archive individual posts or entire creator profiles from services like Patreon, Fanbox, and more, supporting a wide range of file types with customizable settings and advanced features. -
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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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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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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. -
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autocrawler
Multiprocess Selenium crawler for downloading images by keywords
AutoCrawler is a Python-based image crawling tool designed to automatically download large numbers of images from search engines using automated browser interaction. It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. Users provide search terms through a simple keyword file, and the crawler organizes downloaded images into directories for each keyword. It can download either thumbnails or full resolution images and supports multiple image formats such as JPG, GIF, and PNG. It also includes configuration options such as headless mode, download limits, proxy usage, and thread count to customize crawling behavior. -
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dxy-covid-19-crawler
Realtime crawler for COVID-19 outbreak statistics from DXY data
DXY-COVID-19-Crawler is a Python-based project designed to collect real-time COVID-19 infection data from the public dataset provided by Ding Xiang Yuan (DXY). The crawler periodically retrieves pandemic statistics and stores them in a database so that historical changes in the outbreak can be preserved and analyzed later. It was created to make up-to-date infection data more accessible for developers, researchers, and analysts who wanted to build visualizations or conduct data analysis during the early stages of the pandemic. DXY-COVID-19-Crawler automatically crawls data at regular intervals, typically every minute, ensuring that newly published statistics are captured as quickly as possible. Retrieved data is stored in MongoDB and archived so that the entire progression of the outbreak can be traced over time. It also provided an API that allowed developers to easily access the collected data for building dashboards, visualizations, and other analytical tools. -
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news-please
Python tool for crawling and extracting structured data from news site
news-please is an open source news crawler and information extraction tool designed to collect and structure articles from online news websites. It provides an integrated pipeline that crawls news sites, retrieves article pages, and extracts structured information such as headlines, authors, publication dates, and article text. news-please can recursively follow internal links and read RSS feeds to gather both recent and archived articles from a news outlet when given only the root URL of a site. It combines several established technologies and libraries to perform web crawling and content extraction, enabling reliable processing across a wide range of news sources. Developers can use the software either as a standalone command line application or integrate it into their own Python applications through its library interface. Extracted article data can be stored in different formats and systems, including JSON files or database-backed storage solutions. -
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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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pspider
Simple Python framework for building multithreaded web crawlers
PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work asynchronously and efficiently. PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. By organizing crawling tasks into structured stages, PSpider allows developers to build scalable spiders while keeping the codebase relatively compact and readable. Its modular design also makes it easier to extend the framework with additional features or integrate it into existing Python projects. -
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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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jd-autobuy
Python tool that automates JD.com login and product purchase tasks
jd-autobuy is an open source Python-based automation tool designed to simulate the purchasing process on the JD e-commerce platform. It uses web scraping and HTTP request techniques to log into an account, check product availability, and attempt to purchase specified items automatically. It supports login through methods such as QR code authentication, allowing users to sign in through the platform’s mobile application. Once authenticated, the script can retrieve product details including price, stock status, and item information. It can automatically add items to the shopping cart and prepare an order submission workflow for faster purchasing during high-demand sales or limited stock releases. Users can configure parameters such as the product ID, quantity, refresh interval, and purchase behavior using command-line options. jd-autobuy is intended primarily for learning purposes and demonstrates how automated scripts can interact with web services and online shopping systems . -
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spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. It also contains examples of proxy pool integration and encapsulation to support more reliable crawling when working with sites that enforce request limits. -
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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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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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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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newspaper4k
Python library for scraping and analyzing online news articles easily
Newspaper4k is a Python library designed for extracting, processing, and analyzing news articles from websites. It is a continuation and active fork of the original newspaper3k library, which had stopped receiving updates, with the goal of keeping the ecosystem maintained while adding improvements and bug fixes. It provides developers with tools to automatically download web pages, extract the main article content, and collect associated metadata such as titles, authors, images, and publication dates. Newspaper4k also includes natural language processing capabilities that can generate summaries and identify keywords from extracted article text. Newspaper4k supports both single-article extraction and full news site processing, allowing users to build sources representing entire publications and iterate through their articles. It maintains compatibility with the original project so that existing code written for newspaper3k can continue working with minimal changes. -
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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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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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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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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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Crawl4AI
Open-source LLM Friendly Web Crawler & Scraper
Crawl4AI is a high-performance, AI‑ready web crawler tailored for LLM data ingestion and RAG pipelines. It supports adaptive crawling heuristics (stopping when enough info is gathered), structured markdown output, and high-speed parallel execution. Designed to operate at scale with optional Docker deployment and framework integrations. -
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ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
ECommerceCrawlers is a collection of practical Python web crawler projects designed to gather data from a variety of ecommerce platforms, websites, and online services. It aggregates many independent crawler examples created by contributors and organized into separate subprojects that target specific sites or data sources. These examples demonstrate how to build and operate web scrapers capable of collecting structured information such as product listings, news content, job postings, social media data, and other publicly available web data. It aims to help developers understand the full workflow of web scraping, including request simulation, data extraction, storage, and handling anti-scraping techniques. It includes crawlers for platforms such as ecommerce marketplaces, blogging platforms, recruitment sites, and social networks, providing real-world practice scenarios. Developers can study the individual project documentation to understand the analysis process. -
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SimpDL
A tool to scrape images from SimpCity
SimpDL is an open-source media downloading tool designed to retrieve content from subscription-based or creator platforms, focusing on simplicity and ease of use. It enables users to download images, videos, and other media associated with specific creators or accounts, often through authenticated sessions. The project emphasizes a straightforward workflow where users provide login credentials or tokens, and the tool handles the retrieval and storage of content automatically. It is designed to reduce the complexity of manual downloading while still offering flexibility in how content is saved and organized. SimpDL typically supports batch downloads, allowing users to archive entire profiles or content collections efficiently. The tool is often used for offline access or backup purposes, especially for platforms where content may be time-limited. -
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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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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.
