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

Collect long-form articles published through Twitter. Start with Twitter article URLs; each returned article keeps article identifiers, article title, article text, media count, and like count.

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

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

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.

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

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.

Keep Instagram reels as comparable video records. Review creator, caption, publication time, plays, likes, comments, media, and source link across a saved URL list.

Keep a record of Instagram stories and their publishers. Start with Instagram story URLs; each returned story keeps story ID, authors, handles, story URL, and publication dates.

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.

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

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

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 RedNote search results in rows you can compare. Start with RedNote searches or result URLs; each returned search result keeps titles, author nickname, author identifiers, liked count text, and liked count.

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

Read Walmart reviews as a source-linked corpus. Start with Walmart review or listing URLs; each returned review keeps review identifiers, review text, product names, authors, and titles.

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.

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.

Collect TikTok user records for account research. Start with TikTok user URLs; each returned user keeps handles, user identifiers, audience size, following count, and heart count.