ReapX

Create a working lead file from Apollo records. Keep person, role, company, domain, location, contact fields, and source identity together for prospecting operations.

Compare company records from Crunchbase. Start with Crunchbase company URLs; each returned company keeps company financials highlights, names, investments headline, descriptions, and industry.

Find where accounts are mentioned across Instagram. Start with Instagram mention URLs; each returned mention keeps mention, owner username, post shortcode, caption excerpt, and media type.

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.

Compare Amazon product pages in one market file. Keep titles, prices, currencies, ratings, review volume, product identifiers, and source links together.

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

Collect image results and source links from Google. Start with Google image URLs; each returned image keeps titles, descriptions, source site, doc identifiers, and query.

Build a contact file from Google Maps. Start with Google Maps page URLs; each returned contact keeps names, titles, addresses, phone numbers, and email addresses.

Keep Google Maps businesses and places in a comparable market file. Review identity, category, address, phone and website, ratings, coordinates, and source listings together.

Create a working place directory from Google Maps URLs. Compare names, addresses, phone numbers, categories, ratings, coordinates, and source listings across a market.

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.

Collect published contact emails from LinkedIn. Start with LinkedIn page URLs; each returned email record keeps email addresses, email kind, company names, domain, and source.

Keep Naver search records and source links together. Start with Naver URLs; each returned record keeps titles, query, vertical, resolution, and domain.

Keep Pinterest pin records with titles, pinner names, engagement counts, and source links. Start with Pinterest URLs; each returned record keeps titles, pinner username, oembed author names, repin count, and pin identifiers.

Compare Reddit profiles. Start with Reddit profile URLs; each returned profile keeps handles, activity count, feed title, recent activity, and joined at.

Keep Reddit search results in rows you can compare. Start with Reddit searches or result URLs; each returned search result keeps titles, authors, result identifiers, author URL, and subreddit.

Collect the full detail record behind each RedNote result. Start with RedNote detail URLs; each returned detail record keeps titles, last updated at, author identifiers, author nickname, and liked count.

Keep Spotify catalogue records and publisher credits together. Start with Spotify URLs; each returned record keeps titles, names, release date, track count, and entity type.

Keep Threads accounts and posts in one source-linked corpus. Start with Threads URLs; each returned record keeps owner username, text, author handles, reply count, and quote count.

Compare Twitter (X) profiles. Start with Twitter profile URLs; each returned profile keeps handles, names, protected account, audience size, and following count.

Read Yelp reviews as a source-linked corpus. Start with Yelp review or listing URLs; each returned review keeps review identifiers, author display names, text, and review URL.

Map YouTube audiences for account research. Start with YouTube follower URLs; each returned follower keeps follower list available, names, subscriber count, search term, and channel identifiers.

Compare Telegram profiles. Start with Telegram profile URLs; each returned profile keeps names, titles, handles, channel identifiers, and descriptions.

Put Instagram spoken content into searchable text. Start with Instagram video URLs; each returned transcript keeps transcript text, transcript source, has platform transcript, word count, and post shortcode.