Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist

A simple yet comprehensive web scraper for kenpom.com.

Scrape crunchbase companies, people, investors, acquisitions data including website urls, social urls, emails, phone numbers, employee count, funding information etc.

💼 Given the Skill and the Location, this script will scrape the Indeed Indian website and present the matching job details.

📝 Resources for web scraping with node.js

Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist

A multi-threaded price comparison tool built with Java, MongoDB and Swing

A console application that can scrape the Azur Lane wiki and export the data to Json files

Scala application that allows web crawling and web scraping of web pages given as input with the use of special rules passed to it through the use of a DSL.

This python web scraping script is use to download top 21 Bollywood songs of Today/Yesterday/Week/Month/All from www.mymp3song.site.

Run Python Selenium in GitPod

Scrape indeed jobs and companies details including website, positions open, salary offered, etc.

Drinking coffee is my second favorite thing to do, web scraping will always be first.

A .NET 8.0 C# WPF desktop application for web scraping data into structured databases with a modern UI, comprehensive logging and optimized high performance.

A personal projects that uses concepts like web scraping, database management and machine learning that scraps NBA stats basketball from basketball-reference.com, stores into a database and using the database predict who is going to win MVP for a given year

By scraping leads from Google Maps, you can build a database of potential customers who have shown interest in products or services related to your business. This data can be used for targeted marketing campaigns, email outreach, or sales prospecting.

🎮 A Gog.com downloader

A collection of web scrapers

Run Botasaurus in GitPod

Web scraper to extract startup data from a list of Crunchbase URL's