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Compare Yelp businesses, locations, and visible reputation signals. Start with Yelp URLs; each returned record keeps names, price range, phone numbers, address line1, and ratings.

Compare local business records from Yelp. Start with Yelp business URLs; each returned business keeps business identifiers, names, price range, phone numbers, and address line1.

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.

Compare YouTube channels and their publishing record. Start with YouTube channel URLs; each returned channel keeps channel names, channel identifiers, subscriber count, and country.

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

Collect published contact emails from YouTube. Start with YouTube page URLs; each returned email record keeps email addresses, email domain, subscriber count, search term, and channel identifiers.

Compare YouTube profiles. Start with YouTube profile URLs; each returned profile keeps names, titles, handles, subscriber count, and country.

Keep YouTube search results in rows you can compare. Start with YouTube searches or result URLs; each returned search result keeps titles, authors, search term, view counts, and publication dates.

Collect short-form video records from YouTube. Start with YouTube short-video URLs; each returned short video keeps titles, authors, view counts, comment count, and comment count text.

Keep YouTube videos as dated publishing records. Review title, channel, description, duration, views, engagement, media, and source URL across a saved list.

Compare Zillow property records and local-market facts. Start with Zillow URLs; each returned record keeps titles, authors, addresses, descriptions, and publication dates.

Read Zillow property records from property URLs. Keep titles, descriptions, addresses, property identifiers, coordinates, and estimate fields together.

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

Compare property records and market facts from Zillow. Start with Zillow property URLs; each returned property keeps addresses, prices, beds, baths, and area.

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

Compare hotel listings and stay details from Booking. Start with Booking hotel URLs; each returned hotel keeps country code, address short, review volume, room count, and property names.

Compare live listings on Etsy. Start with Etsy listing URLs; each returned listing keeps listing identifiers, titles, prices, price text, and price type.

Take a working snapshot of Etsy shops, listings, and offers. Start with Etsy URLs; each returned record keeps titles, authors, names, prices, 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.

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

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.

Keep a durable index of Instagram highlights. Start with Instagram highlight URLs; each returned highlight keeps highlight identifiers, titles, handles, and content type.

Keep Instagram posts in a dated, source-linked content file. Review captions, authors, media, hashtags, mentions, comments, and engagement across a saved URL list.