Open Source Unix Shell Web Scrapers
Sort By:
Unix Shell Web Scrapers
View 182 business solutionsBrowse free open source Unix Shell Web Scrapers and projects below. Use the toggles on the left to filter open source Unix Shell Web Scrapers by OS, license, language, programming language, and project status.
-
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
-
Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
-
1
single-file-cli
CLI tool to save complete web pages as single self-contained HTML file
SingleFile CLI is an open source command-line tool designed to save complete web pages as a single self-contained HTML file. It captures the rendered page in a headless browser and embeds all required resources directly into the output document, including stylesheets, scripts, images, and fonts. By consolidating every dependency into one file, it allows users to preserve a faithful copy of a web page that can be viewed offline without requiring external assets. SingleFile CLI works by controlling a browser through the Chrome DevTools Protocol, rendering the page before extracting and packaging all necessary resources. This approach helps ensure that the saved page closely matches the original appearance and functionality. SingleFile CLI can be used for automated archiving, research, documentation, or offline reading workflows where preserving a page exactly as displayed is important. -
2
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. -
3
pandora-box
Lightweight cross-platform desktop client for managing Mihomo proxies
Pandora-Box is a lightweight desktop client designed to provide a graphical interface for the Mihomo proxy core. It allows users to manage proxy configurations and subscriptions through a simple and user-friendly interface rather than working directly with configuration files. Pandora-Box supports multiple proxy protocols and provides tools to organize and control network routing rules. It is designed to work for both casual users who want an easy setup and advanced users who need more control over proxy behavior. It also supports automatic rule grouping and features such as TUN mode to enable system-wide proxy routing. Pandora-Box focuses on delivering a clean interface with practical features for importing, managing, and converting proxy subscriptions. Pandora-Box combines a desktop interface with backend components to create a functional proxy management environment that simplifies complex networking configurations. -
4
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. DotnetSpider is modular, allowing different components such as request schedulers, downloaders, and storage systems to work together in a flexible workflow. DotnetSpider also supports distributed crawling environments, making it possible to scale data collection across multiple agents and machines. With support for various storage backends and extensible parsing mechanisms, it is suitable for building complex scraping systems or automated data gathering pipelines. -
Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
-
5
watercrawl
AI-ready web crawler that extracts and structures website content
WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website. 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. -
6
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. -
7
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. -
8
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. -
9
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. Kimurai supports scraping both static and JavaScript-rendered websites by working with multiple engines, including headless browsers and simple HTTP-based approaches. Developers can also interact with pages using browser automation features such as form filling, clicking elements, or navigating through dynamic content. It includes tools for scheduling, parallel scraping, and structured data output, making it suitable for building reliable large-scale crawlers. -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
-
10
twitch-batch-downloader
Automate the download of entire Twitch.tv channels
Automate the download of entire Twitch.tv channels with its metadata. Save each Twitch video into its own folder, with date and time values, video ID, stream metadata, frame screenshot, .ts parts list and sha256 hash. Keep the original ts files and generate mp4 files from them. It requires a shell and some command line utilities. See README.md for details in the Code/git section. -
11
Funnel is a project for use on intranets, or selected sites on the Internet to gather together and index information from several different sources and make it available through a sane, usable interface.
-
12
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.
- Previous
- You're on page 1
- Next
