ReapX

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.

Collect published contact emails from Instagram. Start with Instagram page URLs; each returned email record keeps public email, public email field, handles, names, and phone numbers.

Follow an Instagram hashtag across the posts and accounts using it. Keep captions, creators, dates, media, engagement, and source links in the order returned.

Keep TikTok search results in rows you can compare. Start with search terms, TikTok searches or result URLs, and result count; each returned search result keeps search term, author handles, author nickname, music author, and author identifiers.

Keep YouTube channels and published videos in one searchable export. Review identity, titles, dates, descriptions, audience signals, engagement, and source links together.

Read Facebook reviews as a source-linked corpus. Start with Facebook review or listing URLs; each returned review keeps total reviews, reviews, recommend percent, and source links.

Read Instagram profiles as comparable account records. Keep biography, audience size, account status, links, recent publishing signals, and source URLs together for creator or brand research.

Build a clean file of LinkedIn people from profile URLs, public identifiers, or searches. Keep names, roles, employers, locations, audience size, experience, and education together for prospecting and company research.

Compare MercadoLibre products, offers, and identifiers. Start with MercadoLibre product URLs; each returned product keeps product identifiers, titles, prices, currencies, and condition.

Compare Airbnb listings, stays, and market signals. Start with Airbnb URLs; each returned record keeps price qualifier, address locality, titles, prices, and ratings.

Compare returned Airbnb prices. Start with Airbnb product or listing URLs; each returned price record keeps price qualifier, price status, prices, price string, and titles.

Read Airbnb reviews as a source-linked corpus. Start with Airbnb review or listing URLs and reviews per listing; each returned review keeps review volume, review identifiers, review source, review status, and author names.

Compare live listings on AliExpress. Start with AliExpress listing URLs; each returned listing keeps titles, prices, original price, ratings, and review volume.

Compare returned AliExpress ratings. Start with AliExpress product or listing URLs; each returned rating keeps ratings, titles, review volume, orders count, and product identifiers.

Read AliExpress reviews as a source-linked corpus. Start with AliExpress review or listing URLs; each returned review keeps reviewer country, review identifiers, reviewer names, product review total, and date.

Keep AliExpress search results in rows you can compare. Start with AliExpress searches or result URLs; each returned search result keeps titles, prices, original price, discount percent, and orders count.

Build a lead file from Amazon. Start with Amazon page URLs; each returned lead keeps names, email addresses, titles, companies, and domain.

Take a working snapshot of Amazon products and offers. Start with Amazon URLs; each returned record keeps titles, authors, prices, ratings, and review volume.

Compare returned Amazon ratings. Start with Amazon product or listing URLs; each returned rating keeps ratings, titles, authors, prices, and review volume.