Fandom & Wikipedia Extractor

Fandom Scraper

kuaima/Fandom

Fandom is one of the biggest source for all things TV, movies, and games, including Star Wars, Fallout, Marvel, DC and more. This scraper can help you to get data from Fandom topic like https://www.fandom.com/topics/movies.

Wikipedia-scraper

pluzgi/wikipedia-scraper

The scraper searches Wikipedia for a given term, extracts the titles and URLs of search results, and retrieves the last modification date from each page.

Wikipedia Search & Content Scraper

tuningsearch/wikipedia-search-scraper

🔥 Only $0.5 per 1,000 results 🔥 **CHEAPEST** Wikipedia Search + Full Page Scraper! 🔍 Search 100 results per query across 70 languages 📄 Extract complete page content in Markdown format ⚡ Lightning-fast batch processing with zero failure charges!

Dexscreener Top Traders

agenscrape/dexscreener-top-traders

Extract top traders with detailed PNL data and holder distribution from DexScreener. Supports 70+ blockchains including Solana, Ethereum, BSC, Base, and Arbitrum. Perfect for tracking whale movements, analyzing holder concentration, and building trading strategies.

USA Data.gov U.S. Government's Open Data Scrape

parseforge/data-gov-scraper

Stop wasting hours digging through thousands of government datasets. Our Data.gov scraper automatically gathers complete dataset details from the U.S. government's open data portal in minutes. Ideal for researchers, analysts, journalists, and teams needing reliable data without manual effort.

Government Bid Tracker

technicaldost/government-bid-tracker

Track government contracts from SAM.gov. Find RFPs, bids, and federal opportunities.

Wikipedia Phone Number Scraper

contacts-api/wikipedia-phone-number-scraper

Extract organization contact numbers using our Wikipedia Phone Number Scraper. Collect public phone numbers from Wikipedia pages for research and outreach.

Wikipedia Email Scraper - Advanced, Fast & Cheapest

contacts-api/wikipedia-email-scraper-fast-advanced-and-cheapest

📚 Wikipedia Email Scraper allows you to collect publicly available editor and organization emails from Wikipedia pages 🔎 Great for research and academic outreach 📧

Extracts clean JSON from any Wikipedia article for AI/RAG use.