ReapX

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

Compare Reddit profiles. Start with Reddit profile URLs; each returned profile keeps handles, activity count, feed title, recent activity, and joined at.

Keep Reddit search results in rows you can compare. Start with Reddit searches or result URLs; each returned search result keeps titles, authors, result identifiers, author URL, and subreddit.

Collect RedNote accounts, posts, and visible engagement records. Start with RedNote URLs; each returned record keeps titles, author nickname, author identifiers, liked count text, and liked count.

Compare RedNote profiles. Start with RedNote profile URLs; each returned profile keeps profile links, user identifiers, display names, bio, and iP location.

Compare Shopify products, stores, and market signals. Start with Shopify URLs; each returned record keeps titles, prices, ratings, review volume, and identifiers.

Build a lead file from Shopify. Start with Shopify page URLs; each returned lead keeps country, products count, collections count, ships to countries, and contact emails.

Compare returned Shopify ratings. Start with Shopify product or listing URLs; each returned rating keeps ratings, authors, titles, total count, and product identifiers.

Keep Spotify catalogue records and publisher credits together. Start with Spotify URLs; each returned record keeps titles, names, release date, track count, and entity type.

Collect the music catalogue and credits published on Spotify. Start with Spotify music record URLs; each returned music record keeps titles, names, release date, track count, and entity type.

Compare Telegram channels and their publishing record. Start with Telegram channel URLs; each returned channel keeps channel username, channel names, date, channel identifiers, and text.

Keep Threads accounts and posts in one source-linked corpus. Start with Threads URLs; each returned record keeps owner username, text, author handles, reply count, and quote count.

Keep Threads search results in rows you can compare. Start with Threads searches or result URLs; each returned search result keeps titles, authors, descriptions, position, and seller details.

Read TikTok comment threads beside the video that prompted them. Keep text, author, date, likes, reply structure, video identity, and source link in one corpus.

Keep TikTok creators and published videos in a single research file. Compare account details, captions, dates, engagement, and source links across a saved target list.

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.

Map TikTok audiences for account research. Start with TikTok follower URLs; each returned follower keeps user identifiers, display names, verification status, and bio.

Map the accounts followed on TikTok. Start with TikTok followed account URLs; each returned followed account keeps user identifiers, display names, verification status, and bio.

Follow a hashtag across TikTok posts and creators. Start with TikTok hashtag result URLs; each returned hashtag result keeps titles, text, authors, author handles, and author names.

Keep a current record of live broadcasts on TikTok. Start with TikTok live broadcast URLs; each returned live broadcast keeps host username, viewer count, enter count, search term, and room identifiers.

Read TikTok publishing patterns across posts. Start with TikTok post URLs; each returned post keeps text, authors, publication dates, room ID, and room title.

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

Compare TikTok creators from profile URLs or usernames. Keep biography, audience size, account status, links, recent activity, and source profile in one record.

Read TikTok reviews as a source-linked corpus. Start with TikTok review or listing URLs; each returned review keeps review identifiers, reviewer names, ratings, and content.