ReapX

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.

Compare Facebook profiles. Start with Facebook profile URLs; each returned profile keeps profile count, profiles, names, handles, and headlines.

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

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.

Compare open roles on Google. Start with Google job URLs; each returned job keeps job identifiers, titles, companies, job URL, and locations.

Read Google Maps reviews as a corpus tied to the place that received them. Keep rating, text, author details, date fields, place identity, and source links together.

Compare app listings and publisher details from Google Play. Start with Google Play app URLs; each returned app keeps offers iap price range, app identifiers, titles, developer email, and developer address.

Compare Google Play apps, publishers, and listing details. Start with Google Play URLs; each returned record keeps titles, rating value, rating count, prices, and app identifiers.

Read Google Play reviews as a source-linked corpus. Start with Google Play review or listing URLs; each returned review keeps review identifiers, user names, text, publication dates, and replied at.

Compare Google products, offers, and identifiers. Start with Google product URLs; each returned product keeps product identifiers, titles, prices, price value, and list price.

Keep web search results in the order they appeared for each query. Review titles, snippets, destinations, result types, and rank across searches, with the engine that answered recorded on every row.

Compare returned Google Search prices. Start with Google Search product or listing URLs; each returned price record keeps prices, price value, list price, list price value, and titles.

Collect published contact emails from Idealista. Start with Idealista page URLs; each returned email record keeps email addresses, property identifiers, source pages, evidence context, and record types.

Study Instagram ads across brands and campaigns. Start with Instagram ad URLs; each returned ad keeps advertiser, ad body text, titles, ad ID, and text.

Keep Instagram accounts and published activity in one structured export. Review profiles, posts, captions, dates, and engagement in the same dataset.

Collect Instagram media records with source details. Start with Instagram media file URLs; each returned media file keeps titles, authors, handles, descriptions, and publication dates.

Map Instagram audiences for account research. Start with Instagram follower URLs; each returned follower keeps followers, names, handles, source handles, and user identifiers.