Search Results for "data extraction"
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Showing 38 open source projects for "data extraction"
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1
Firecrawl
Turn entire websites into LLM-ready markdown or structured data
Crawl and convert any website into LLM-ready markdown or structured data. Built by Mendable.ai and the Firecrawl community. Includes powerful scraping, crawling, and data extraction capabilities. Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown or structured data. We crawl all accessible subpages and give you clean data for each. No sitemap is required. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
Kimurai is an open source web scraping framework written in Ruby that simplifies the process of building automated data extraction tools. It provides a clean domain-specific language that allows developers to define scraping logic and data schemas with minimal boilerplate code. Kimurai can use AI-assisted extraction to identify where data resides in HTML pages, automatically generating selectors that are cached for future use so subsequent scraping runs operate with pure Ruby performance. ... -
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watercrawl
AI-ready web crawler that extracts and structures website content
...WaterCrawl supports customizable extraction rules so users can focus only on relevant elements while ignoring unnecessary page components. WaterCrawl also offers real-time monitoring capabilities, allowing users to track crawling progress, performance metrics, and errors during large data collection jobs. Developers can integrate the tool into applications through a REST API and multiple client SDKs, enabling automated data pipelines and AI data preparation workflows. -
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Ferret
Declarative web scraping
A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. ... -
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5
skycaiji
Open source web scraping system for automated data collection tasks
SkyCaiji is an open source web scraping and data collection system designed to gather information from websites through configurable extraction rules. It focuses on simplifying the process of building crawlers by allowing users to visually define scraping rules rather than writing complex code. It can collect structured or unstructured data from many types of webpages and automate the extraction process for large datasets. -
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gain
Asyncio-based Python framework for building fast web crawling spiders
...It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and items, allowing them to organize crawling logic and data extraction rules clearly. Gain supports CSS selectors and XPath expressions for parsing page content and extracting specific elements. Gain also allows developers to configure headers, concurrency levels, and proxy settings to control how crawlers interact with target websites. ... -
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Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
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Trafilatura
Python & command-line tool to gather text on the Web
Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text-processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats. Going from raw HTML to essential parts can alleviate many problems related to text quality, first by avoiding the noise caused by recurring elements (headers, footers, links/blogroll etc.) and second by including information such as author and date in order to make sense of the data. ... -
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news-please
Python tool for crawling and extracting structured data from news 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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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... -
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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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wombat
Lightweight Ruby DSL for scraping structured data from web pages
Wombat is a lightweight web crawling and scraping library written in Ruby that focuses on extracting structured data from web pages using a concise domain-specific language (DSL). It is designed to simplify the process of defining how information should be collected from HTML documents without requiring large amounts of scraping boilerplate code. Developers can declare the data fields they want and specify selectors or rules for retrieving them, allowing Wombat to parse and return structured... -
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Spider
High-performance Rust web crawler and scraper for large-scale data
...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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QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
...QueryList supports common data extraction scenarios such as retrieving lists of titles, links, images, and other page elements from structured or semi-structured content. It also includes a powerful HTTP request system that enables complex operations such as simulated logins, proxy usage, and customized request headers. QueryList is designed with a modular architecture that allows developers to extend its capabilities through plugins for tasks. -
15
Scweet
Scrape tweets, profiles, followers and following from Twitter/X
Scweet is a Python-based Twitter/X scraping library and CLI designed to collect tweets, profile timelines, followers, following lists, and user profile data without requiring the official Twitter/X API or a developer account. Instead of depending on deprecated unauthenticated scraping methods, it works by using X’s web GraphQL API together with authenticated browser cookies, which gives it a more current and practical approach for data extraction. The project supports a broad set of collection patterns, including searches by keyword, hashtag, user, date range, engagement thresholds, language, and location, making it useful for research, monitoring, and data gathering workflows. ... -
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Scrapling
An adaptive Web Scraping framework
...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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dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
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🚀 Discover AI Web Scraper! 🚀 Tired of copying and pasting data from websites? I developed a desktop application with Electron and Gemini AI to extract structured data easily and efficiently! 🤖✨
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DotnetSpider
Lightweight .NET framework for fast web crawling and data scraping
DotnetSpider is a web crawling and data extraction framework built on the .NET Standard platform. It is designed to help developers create efficient and scalable crawlers for collecting structured data from websites. It provides a high-level API that simplifies the process of defining spiders, managing requests, and extracting content from web pages. Developers can create custom spiders by extending base classes and configuring pipelines that handle downloading, parsing, and storing collected data. ... -
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WFDownloader App
Free batch downloader for image, wallpaper, video, audio, document,
Use as an image gallery, wallpaper, audio/music, video, document, and other media bulk downloader from supported websites. Also use to download sequential website urls that have a certain pattern (e.g. image01.png to image100.png). Also use app's built-in site crawler for advanced link search or extraction. There is also special support for forum media downloading, forum thread offline archiving, rss feed downloading, and open directory downloading. It's a programmable downloader and also... -
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Web Spider, Web Crawler, Email Extractor
Free Extracts Emails, Phones and custom text from Web using JAVA Regex
In Files there is WebCrawlerMySQL.jar which supports MySql Connection Free Web Spider & Crawler. Extracts Information from Web by parsing millions of pages. Store data into Derby Database and data are not being lost after force closing the spider. - Free Web Spider , Parser, Extractor, Crawler - Extraction of Emails , Phones and Custom Text from Web - Export to Excel File - Data Saved into Derby and MySQL Database - Written in Java Cross Platform Also See Free email Sender : https://sourceforge.net/projects/gitst-free-email-ender/ Please install Microsoft OpenJDK to start the application https://www.microsoft.com/openjdk -
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OpenSERP
Open-source SERP API for AI, SEO & automation - Google + 5 more
OpenSERP is a free self-hosted open-source SERP API & CLI with live browser-rendered search and content extraction for AI, SEO & automation. Use it as a search tool for LLMs, agents, and RAG pipelines, or as a scraper backend for SEO rank tracking across Google, Yandex, Baidu, and more. It is especially useful when your workflow needs RU/CN web coverage instead of another Google-only API. -
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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.... -
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Easyspider - Distributed Web Crawler
Easy Spider is a distributed Perl Web Crawler Project from 2006
Easy Spider is a distributed Perl Web Crawler Project from 2006. It features code from crawling webpages, distributing it to a server and generating xml files from it. The client site can be any computer (Windows or Linux) and the Server stores all data. Websites that use EasySpider Crawling for Article Writing... -
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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...