Open Source C# Web Scrapers

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.

OpenWebSpider is an Open Source multi-threaded Web Spider (robot, crawler) and search engine with a lot of interesting features!

JAWS or Just Another Web Scraper, is part of the Data Scraping Softwares developed by SVbook, alongside JATI (Image to Text) and JAVT (Video to Text). JAWS offer easy interface to scrape data from the website using regular expression, text preprocessing, or HTML Agility Pack.

DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses.

Abot is an open source C# web crawler framework designed to help developers efficiently crawl and process web content. It focuses on speed, flexibility, and extensibility while handling the complex low-level tasks involved in web crawling. It manages essential components such as multithreading, HTTP requests, scheduling, and link parsing so developers can focus on processing the collected data. Abot follows a modular architecture that allows developers to customize nearly every stage of the crawl process by implementing or replacing core interfaces. Abot exposes an event-driven model that enables applications to react to crawling events such as page completion or crawl restrictions. It also provides configuration options that control crawling behavior including concurrency limits, crawl delays, and request parameters. Designed to be lightweight and dependency-free, Abot runs without requiring external services or databases, making it easy to integrate.

ConsoleWebScraper is a simple console application that allows you to scrape web pages and save the results. Usage Open a command prompt as administrator. Navigate to the directory containing the utility. Run the utility as a command-line argument. For example: .\ConsoleWebScraper.exe When you start the application, you'll see a title and a menu guide. The menu guide will tell you what commands you can use. After the application has successfully completed its operation, the results will be saved on your desktop in a folder named "WebScrapperProject". Note This is a basic web scraper and may not work with all websites, especially those that heavily rely on JavaScript for rendering content or have measures in place to prevent scraping. Author Bohdan Harabadzhyu License This project is licensed under the terms of the GNU General Public License v3.0 (GPL-3.0) - see the LICENSE file for details.

Crawler.NET is a component-based distributed framework for web traversal intended for the .NET platform. It comprises of loosely coupled units each realizing a specific web crawler task. The main design goals are efficiency and flexibility.

A toolkit for crawling information from web pages by combining different kinds of "actions". Actions are simple operations such as navigation to a specified url or extraction of text from the html. Also available is a graphic user interface.

The website broken link scanner and technical SEO toolbox. SEO Macroscope for Microsoft Windows is a free and open-source website broken link checking and scanning tool, with some technical SEO functionality for common website problems. Find broken links on your website, both internal and external. Report robots.txt statuses. Check and report canonical, hreflang, and other metadata problems. Perform simple, configurable Technical SEO checks on titles and descriptions. Report fastest/slowest pages. Export reports to Excel and CSV formats. Generate and export text and XML sitemaps from the crawled pages. Analyze redirect chains. Use custom filters to verify the presence/absence of tracking tags. Use CSS Selectors, XPath Queries, and Regular Expressions to scrape website data.

Simple C# tool example project to scrape info from a webpage. This is a quick hack for a school project, done in one evening so I dont have to type the same printers into Excel or Access for the twentiest time ...

A C# coded web crawler that analyzes pagerank, total links, no follow links, and make a ranking for their best-positioned pages in Google

arachnode.net is an open source Web crawler for downloading, indexing and storing Internet content including e-mail addresses, files, hyperlinks, images, and Web pages and is written in C# using SQL Server 2008. See http://arachnode.net for the LATEST.

WordList Generator is used to generate word lists. Methods: -Web Crawler -Search Engine Crawler -Random -Brute Force