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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.

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 published contact emails from TikTok. Start with TikTok page URLs; each returned email record keeps email addresses, email domain, owner username, search term, and owner nickname.

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.

Study Facebook ads as source-linked records. Keep page identity, ad copy, delivery dates, active status, and library identifiers together for campaign research.

Compare Facebook Pages as organization records. Keep page names, page identifiers, audience counts, and source URLs together.

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

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.

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.

Read LinkedIn comment threads as a corpus. Start with LinkedIn post or video URLs; each returned comment keeps comment, text, authors, handles, and publication dates.

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.

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

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.

Keep Telegram channels, profiles, and visible publishing records together. Start with Telegram URLs; each returned record keeps date, text, authors, channel username, and videos count.

Collect published phone contacts from Telegram. Start with Telegram phone record URLs; each returned phone record keeps phone numbers, names, addresses, ratings, and price level.

Read Threads publishing patterns across posts. Start with Threads post URLs; each returned post keeps repost count, post identifiers, text, author handles, and reply count.