CommentFinder is a browser-based search tool for people who need to recover useful comments from long public social-media conversations. Instead of manually scrolling through hundreds or thousands of replies, a user pastes the URL of a public YouTube video, TikTok post, or Instagram post or Reel. CommentFinder retrieves the comments and replies made available by the source platform or retrieval provider, then lets the user search the resulting conversation by a remembered word, phrase, topic, or displayed username.
The product is designed around a common problem: someone remembers the idea in a comment but cannot remember exactly where it appeared. CommentFinder turns that memory into a practical search workflow. Results can preserve useful context such as the displayed author, date or time, likes, nested-reply relationship, and a source link when that information is available. This makes it easier to move from a search result back to the original public conversation rather than treating each match as an isolated line of text.
CommentFinder supports public comments from YouTube, TikTok, and Instagram. YouTube comment searches are free. TikTok and Instagram include a free entry point and then use non-expiring, pay-as-you-go credits for returned top-level comments and available nested replies. There is no required subscription. A completed credit-pack purchase unlocks Premium workspace features such as CSV and JSON exports, saved searches and history, advanced filters, and higher supported limits. Optional Premium analysis can create summaries, themes, and sentiment when the user requests it.
Creators can use CommentFinder to find repeated questions, feedback, and requests in the comments beneath their content. Researchers can recover a remembered phrase, opinion, answer, or username and retain the surrounding reply context. Brands can search available public conversations for mentions, praise, objections, product language, and feedback. Teams can use exports and saved research to organize findings from large conversations. General users can simply find the one comment or answer they remember without repeatedly loading and scrolling through the source post.
The product is careful about the limits of public-platform data. It searches only the comments and replies that the platform or retrieval provider makes available. It does not claim access to private, deleted, restricted, disabled, hidden, or otherwise unavailable conversations, and it does not promise complete coverage of every reply. Available nested replies and source links are shown when returned by the underlying source.
CommentFinder runs in a modern web browser and focuses on a straightforward process: paste a public post URL, retrieve the available conversation, search it with the details you remember, review the surrounding context, and return to the source when a link is available. The combination of phrase search, username search, reply context, source navigation, exports, and optional analysis gives creators, researchers, brands, teams, and individual users a focused way to find useful signals inside public YouTube, TikTok, and Instagram discussions.
