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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.

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

Read RedNote comment threads as a corpus. Start with RedNote post or video URLs; each returned comment keeps comment count, titles, last updated at, author identifiers, and author nickname.

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

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.

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.

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.

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

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.

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.

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.

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