Open Source Python Web Scrapers - Page 2
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Python Web Scrapers
View 204 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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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. -
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tumblr-crawler
Python crawler to download photos and videos from Tumblr blogs
tumblr-crawler is an open source Python-based utility designed to download media content from Tumblr blogs. It provides a script that automatically retrieves photos and videos from specified Tumblr sites and saves them locally for offline access. Users can specify one or multiple blogs to crawl by editing a configuration file or by passing parameters through the command line. Once executed, the script fetches media from the Tumblr API and stores the downloaded files in folders named after each blog. tumblr-crawler avoids re-downloading files that have already been saved, making repeated runs safe and useful for recovering missing media. It also supports optional proxy configuration, which can help when access to Tumblr content requires routing requests through a proxy server. With simple dependencies and straightforward configuration, the project offers a practical way to archive media content from Tumblr blogs. -
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CyberScraper 2077
A Powerful web scraper powered by LLM | OpenAI, Gemini & Ollama
CyberScraper 2077 is not just another web scraping tool – it's a glimpse into the future of data extraction. Born from the neon-lit streets of a cyberpunk world, this AI-powered scraper uses OpenAI, Gemini and LocalLLM Models to slice through the web's defenses, extracting the data you need with unparalleled precision and style. -
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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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dirhunt
Web crawler that finds hidden web directories without brute force
Dirhunt is an open source security tool designed to discover web directories and analyze website structures without relying on brute-force techniques. Instead of sending large numbers of guess-based requests, it operates as a specialized crawler that intelligently explores websites to identify accessible or hidden directories. Dirhunt can detect directories that expose “Index Of” listings, which may reveal files and other resources that were not intended to be publicly visible. It can also identify situations where directories are intentionally hidden through empty index files or servers that return misleading responses such as fake 404 errors. Dirhunt processes HTML pages and other available sources to discover additional paths and directories while minimizing the number of requests sent to the server, making scans faster and less intrusive. It supports scanning multiple targets at the same time and allows results to be filtered, analyzed, and exported for further review. -
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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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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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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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Basketball Reference
NBA Stats API via Basketball Reference
Basketball Reference is a great site (especially for a basketball stats nut like me), and hopefully, they don't get too pissed off at me for creating this. I initially wrote this library as an exercise for creating my first PyPi package, hope you find it valuable! This library was created for another Python project where I was trying to estimate an NBA player's productivity. A lot of sports-related APIs are expensive - luckily, Basketball Reference provides a free service which can be scraped and translated into a usable API. -
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CommunityScrapers
This is a public repository containing scrapers
Stash Community Scrapers is a large open-source collection of metadata extraction tools designed to work with the Stash media management platform, enabling automated scraping of content information from various online sources. The repository contains hundreds of scraper definitions written primarily in YAML and Python, each tailored to extract structured metadata such as titles, performers, tags, and media details from specific websites. These scrapers integrate directly into Stash, allowing users to enrich their media libraries with accurate and detailed information without manual entry. The project supports both automatic installation through in-app feeds and manual configuration for advanced use cases. Some scrapers require additional configuration such as API keys or cookies, highlighting its flexibility and adaptability to different sources. -
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FinalRecon
All-in-one Python web reconnaissance tool for fast target analysis
FinalRecon is an all-in-one web reconnaissance tool written in Python that helps security professionals gather information about a target website quickly and efficiently. It combines multiple reconnaissance techniques into a single command-line utility so users do not need to run several separate tools to collect similar data. FinalRecon focuses on providing a fast overview of a web target while maintaining accuracy in the collected results. It includes modules for gathering server information, analyzing SSL certificates, performing WHOIS lookups, and crawling website resources. FinalRecon can also enumerate DNS records, discover subdomains, search for directories and files, and scan common network ports. Historical URLs and resources can be retrieved from archived sources to help analyze changes in a website over time. Designed primarily for penetration testers and security researchers, FinalRecon simplifies the reconnaissance phase of security assessments. -
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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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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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Selectolax
Python binding to Modest and Lexbor engines
A fast HTML5 parser with CSS selectors using Modest and Lexbor engines. Selectolax supports two backends: Modest and Lexbor. By default, all examples use the Modest backend. Most of the features between backends are almost identical, but there are still some differences. Currently, the Lexbor backend is in beta and missing some of the features. To use lexbor, just import the parser and use it in the similar way to the HTMLParser. -
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finvizfinance
Finviz analysis python library
finvizfinance is a package that collects financial information from FinViz website. Stock charts, fundamental & technical information, insider information and stock news. Forex charts and performance. Crypto charts and performance. Screener and Group provide data frames for comparing stocks according to different filters and trading signals. Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. -
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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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AutoScraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages. -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t run the crawler on our own machine, a good one. The method is to deploy Scrapy to a remote server for execution. At this time, you might use Scrapyd. With it, we only need to install Scrapyd on the remote server and start the service. We can deploy the Scrapy project we wrote. Go to the remote host. In addition, Scrapyd provides a variety of operations API, which gives you free control over the operation of the Scrapy project. -
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Grab Framework Project
Web Scraping Framework
Grab is a python framework for building web scrapers. With Grab you can build web scrapers of various complexity, from simple 5-line scripts to complex asynchronous website crawlers processing millions of web pages. Grab provides an API for performing network requests and for handling the received content e.g. interacting with DOM tree of the HTML document. The single request/response API that allows you to build network request, perform it and work with the received content. The API is built on top of urllib3 and lxml libraries. The Spider API to build asynchronous web crawlers. You write classes that define handlers for each type of network request. Each handler is able to spawn new network requests. Network requests are processed concurrently with a pool of asynchronous web sockets. Grab provides interface called Spider to develop multithreaded web-site scrapers. -
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Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone. -
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Requests-HTML
Pythonic HTML Parsing for Humans
This library intends to make parsing HTML (e.g. scraping the web) as simple and intuitive as possible. When using this library you automatically get full JavaScript support! (Using Chromium, thanks to puppeteer) CSS Selectors (a.k.a jQuery-style, thanks to PyQuery). XPath Selectors, for the faint of heart. Mocked user-agent (like a real web browser). Automatic following of redirects. Connection–pooling and cookie persistence. The Requests experience you know and love, with magical parsing abilities, and async support. The rest of the code operates the same way as the synchronous version except that results is a list containing multiple response objects however the same basic processes can be applied as above to extract the data you want. -
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ScrapydWeb
Web app for Scrapyd cluster management
Web app for Scrapyd cluster management, with support for Scrapy log analysis & visualization. Make sure that Scrapyd has been installed and started on all of your hosts. Start ScrapydWeb via command scrapydweb. (a config file would be generated for customizing settings on the first startup.) Add your Scrapyd servers, both formats of string and tuple are supported, you can attach basic auth for accessing the Scrapyd server, as well as a string for grouping or labeling. You can select any number of Scrapyd servers by grouping and filtering, and then invoke the HTTP JSON API of Scrapyd on the cluster with just a few clicks. -
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Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. Developers define items and routes that determine how web pages are parsed and how the resulting data is exposed through the API interface. It also includes mechanisms for caching both page content and API requests, helping reduce repeated network calls and improving performance. Because the generated service is built on top of a Flask application, it can be deployed like any other Flask-based project and integrated into existing Python workflows. -
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WeChatSogou
Python library to crawl and retrieve data from WeChat accounts
WechatSogou is an open source Python library designed to retrieve data from WeChat official accounts by using the Sogou WeChat search service as its data source. It provides developers with a programmatic way to search for public accounts and collect article information without manually browsing the search interface. It functions as a crawler interface that sends requests to the search engine, retrieves results, and converts the returned pages into structured data that can be used in applications or analysis pipelines. Internally, the library separates its functionality into several layers including an API interface, request handling, and response parsing components to organize the crawling workflow. These components work together to process HTTP requests, handle verification mechanisms, and transform HTML or JSON responses into usable objects. Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts. -
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changedetection.io
The best free open source website change detection and restock service
Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the browser steps configuration, add basic steps before performing change detection, such as logging into websites, adding a product to a cart, accepting cookie logins, entering dates, and refining searches. Monitor and track PDF file changes, and know when a PDF file has text changes. Know when your favourite product is on sale, or other special deals are announced before anyone else. Detect and monitor changes in JSON API responses.
