Make it Pig — No-Code Web Scraper, Data Extractor & Excel Exporter

Description

Scrape any website and export data to Excel in seconds. No code, no setup — just point, click, and download your spreadsheet. Turn any website into a spreadsheet in seconds. No code. No DevTools. No learning curve. Make it Pig is a Chrome extension that lets you visually pick data from any webpage and export it to a clean Excel (.xlsx) file — with automatic pagination support so you can scrape hundreds of pages without lifting a finger. --- HOW IT WORKS 1. Open the side panel on any website 2. Click on the data you want — product names, prices, ratings, emails, addresses, anything 3. The extension recognizes the repeating pattern automatically 4. Point at the "Next page" button to enable multi-page scraping 5. Hit Export — your spreadsheet downloads instantly That's it. No selectors. No scripts. No accounts. --- WHAT YOU CAN SCRAPE ✔ Product listings — Amazon, eBay, Etsy, Shopify stores ✔ Job postings — Indeed, LinkedIn, Glassdoor ✔ Real estate data — Zillow, Rightmove, Realtor.com ✔ Business directories and lead lists ✔ Review sites — Trustpilot, G2, Yelp ✔ News and article metadata ✔ Any table, list, or repeating element on any website --- WHY MAKE IT PIG? Most web scrapers require you to write CSS selectors, run Python scripts, or pay for a cloud subscription. Make it Pig is different: - 100% visual — click what you want, the extension does the rest - Works offline — no servers, no cloud, no account required - Privacy first — your data never leaves your machine - Multi-page — follows pagination across hundreds of pages automatically - Excel-ready output — downloads as .xlsx, opens directly in Excel or Google Sheets - Free — no trial, no paywall, no credit card --- WHO IS IT FOR? - Marketers collecting competitor pricing or lead data - Recruiters building candidate lists - Researchers gathering data for analysis - E-commerce sellers doing market research - Real estate professionals tracking listings - Anyone who has ever copied and pasted data from a website into a spreadsheet

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