ReapX

Read Amazon reviews as a source-linked corpus. Keep rating, title, text, author, date, helpful votes, review identity, and source link together.

Keep Amazon search results in rows you can compare. Start with Amazon searches or result URLs; each returned search result keeps titles, prices, names, list price, and descriptions.

Compare returned Booking prices. Start with Booking product or listing URLs; each returned price record keeps price user currency, price hotel currency, price user unformatted, price hotel unformatted, and offer identifiers.

Read Booking reviews as a source-linked corpus. Start with Booking review or listing URLs; each returned review keeps overall reviews count, review identifiers, reviewed at, author names, and author country code.

Compare Booking listings, stays, and travel-market facts. Start with Booking URLs; each returned record keeps country code, property names, property identifiers, latitude, and longitude.

Compare live listings on eBay. Start with eBay listing URLs; each returned listing keeps listing identifiers, titles, prices, price text, and price type.

Take a working snapshot of eBay listings and offers. Start with eBay URLs; each returned record keeps titles, authors, prices, descriptions, and publication dates.

Compare returned eBay prices. Start with eBay product or listing URLs; each returned price record keeps prices, titles, price string, list price string, and ratings.

Compare eBay products, offers, and identifiers. Start with eBay product URLs; each returned product keeps titles, prices, ratings, review volume, and currencies.

Read Facebook comment threads as a corpus. Start with Facebook post or video URLs; each returned comment keeps comment, text, authors, handles, and publication dates.

Compare company records from Facebook. Start with Facebook company URLs; each returned company keeps email addresses, phone numbers, audience size, page names, and websites.

Build a contact file from Facebook. Start with Facebook page URLs; each returned contact keeps email addresses, phone numbers, audience size, page names, and websites.

Collect Facebook page records with names, audience counts, page identifiers, and source links. Start with Facebook URLs; each returned record keeps names, audience size, page identifiers, source links, and followers label.

Collect published contact emails from Facebook. Start with Facebook page URLs; each returned email record keeps email addresses, phone numbers, audience size, page names, and websites.

Keep Facebook event records in one working calendar file. Start with Facebook event URLs; each returned event keeps event identifiers, titles, start date text, responses count, and video views count.

Map Facebook audiences for account research. Start with Facebook follower URLs; each returned follower keeps audience size, names, followers label, page identifiers, and source links.

Compare Facebook Groups by identity and visible activity. Keep name, description, privacy state, membership, recent signals, and source URL in one working file.

Keep Facebook posts as source-linked records for content review. Each row retains the publisher, text, reactions, comments, shares, views, and original post URL.

Keep Facebook search results in rows you can compare. Start with Facebook searches or result URLs; each returned search result keeps titles, authors, descriptions, position, and seller details.

Collect Facebook videos and their publishing signals. Start with Facebook video URLs; each returned video keeps author names, reactions count, comment counts, shares count, and views count.

Read Glassdoor reviews as a source-linked corpus. Start with Glassdoor review or listing URLs; each returned review keeps text, authors, ratings, titles, and review URL.

Compare live listings on Goofish. Start with Goofish listing URLs; each returned listing keeps listing identifiers, titles, prices, price text, and price type.

Study Google ads across brands and campaigns. Start with Google ad URLs; each returned ad keeps advertiser, advertiser name, advertiser ID, advertiser identifiers, and advertiser names.

Compare flight options surfaced by Google. Start with Google flight URLs; each returned flight keeps date, departure date, prices, query, and origin city.