ReapX

Read Google Maps reviews as a corpus tied to the place that received them. Keep rating, text, author details, date fields, place identity, and source links together.

Compare app listings and publisher details from Google Play. Start with Google Play app URLs; each returned app keeps offers iap price range, app identifiers, titles, developer email, and developer address.

Compare Google Play apps, publishers, and listing details. Start with Google Play URLs; each returned record keeps titles, rating value, rating count, prices, and app identifiers.

Read Google Play reviews as a source-linked corpus. Start with Google Play review or listing URLs; each returned review keeps review identifiers, user names, text, publication dates, and replied at.

Compare Google products, offers, and identifiers. Start with Google product URLs; each returned product keeps product identifiers, titles, prices, price value, and list price.

Compare returned Google Search prices. Start with Google Search product or listing URLs; each returned price record keeps prices, price value, list price, list price value, and titles.

Build a working file of Indeed roles and hiring signals. Start with Indeed URLs; each returned record keeps titles, authors, companies, other jobs at company, and company logo.

Study Instagram ads across brands and campaigns. Start with Instagram ad URLs; each returned ad keeps advertiser, ad body text, titles, ad ID, and text.

Keep Instagram accounts and published activity in one structured export. Review profiles, posts, captions, dates, and engagement in the same dataset.

Collect Instagram media records with source details. Start with Instagram media file URLs; each returned media file keeps titles, authors, handles, descriptions, and publication dates.

Map Instagram audiences for account research. Start with Instagram follower URLs; each returned follower keeps followers, names, handles, source handles, and user identifiers.

Collect short-form video records from Instagram. Start with Instagram short-video URLs; each returned short video keeps titles, authors, handles, descriptions, and publication dates.

Collect Instagram videos and their publishing signals. Start with Instagram video URLs; each returned video keeps titles, authors, video URL, publication dates, and view counts.

Collect LinkedIn account records for company research. Start with LinkedIn account URLs; each returned account keeps titles, authors, companies, date, and descriptions.

Study LinkedIn ads across brands and campaigns. Start with LinkedIn ad URLs; each returned ad keeps headlines, advertiser, ad identifiers, advertiser names, and advertiser bio.

Keep LinkedIn job records with titles, companies, locations, descriptions, and source links. Start with LinkedIn URLs; each returned record keeps titles, authors, companies, date, and descriptions.

Compare places and business listings from Maps. Start with Maps place URLs; each returned place keeps names, titles, place identifiers, addresses, and phone numbers.

Read Maps reviews as a source-linked corpus. Start with Maps review or listing URLs; each returned review keeps review identifiers, ratings, text, author names, and relative date.

Keep Mobile.de search results in rows you can compare. Start with Mobile.de searches or result URLs; each returned search result keeps titles, price amount, currencies, first registration, and fuel type.

Read Naver reviews as a source-linked corpus. Start with Naver review or listing URLs; each returned review keeps visitor review count, total review count, review identifiers, review text, and visitor review score.

Compare Pinterest profiles. Start with Pinterest profile URLs; each returned profile keeps handles, names, is private profile, instagram username, and audience size.

Keep Pinterest search results in rows you can compare. Start with Pinterest searches or result URLs; each returned search result keeps titles, repin count, descriptions, position, and identifiers.

Keep Quora questions and answers in a source-linked reading file. Preserve answer text, author context, dates, engagement signals, question identity, and source URL together.

Keep Reddit communities, posts, and visible discussion records in one export. Preserve titles, authors, dates, scores, comment volume, community, and source links.