ReapX

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.

Build a contact file from the open web. Start with web page URLs; each returned contact keeps contact emails, contact sources, phone numbers, site title, and response status.

Keep YouTube speech as searchable text beside the video that issued it. Preserve segments, timing, language, video identity, title, channel, and source URL for research or publishing work.

Collect published contact emails from Google Maps. Start with Google Maps page URLs; each returned email record keeps email addresses, names, titles, addresses, and phone numbers.

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

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.

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

Create a comparable file of LinkedIn companies. Keep company identity, industry, size, location, website, description, and source profile together for account research.

Keep LinkedIn search results in rows you can compare. Start with LinkedIn searches or result URLs; each returned search result keeps search term, titles, headlines, descriptions, and position.

Collect image results and source links from AliExpress. Start with AliExpress image URLs; each returned image keeps product identifiers, position, media type, sku image, and source links.

Keep Crunchbase companies and market records together. Start with Crunchbase URLs; each returned record keeps titles, authors, names, investments headline, and company financials highlights.

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

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

Keep Google coverage in a source-linked news file. Start with Google news result URLs; each returned news result keeps titles, authors, source links, article identifiers, and publication dates.

Follow Indeed search results for a role or market. Keep job title, employer, location, summary, salary signals, dates, and application source together for hiring research.

Read Instagram comment threads without losing the post or author context. Keep comment text, author, date, likes, reply structure, post identity, and source link in one corpus.

Map the accounts followed on Instagram. Start with Instagram followed account URLs; each returned followed account keeps names, handles, followers, verification status, and identifiers.

Keep Instagram search results in rows you can compare. Start with Instagram searches or result URLs; each returned search result keeps names, media count, query, media count label, and source links.

Collect Instagram user records for account research. Start with Instagram user URLs and timeline depth; each returned user keeps handles, titles, user identifiers, authors, and descriptions.

Map company employees from LinkedIn records. Start with LinkedIn employee URLs; each returned employee keeps handles, names, headlines, roles, and employers.

Follow open roles on LinkedIn by URL and location. Keep the job, employer, function, location, description, and application link in one file for hiring research or market mapping.

Build a lead file from LinkedIn. Start with LinkedIn page URLs; each returned lead keeps handles, names, headlines, roles, and employers.

Read Reddit posts as dated community records. Keep title, body, author, score, comments, community, outbound links, and source URL attached to each post.

Keep Snapchat publishing records in one research file. Start with Snapchat URLs; each returned record keeps handles, titles, subscriber count text, update times, and subscriber count.