Reddit Search
Search public Reddit posts globally by query with sort, timeframe, after-token pagination, trim controls, and empty-success caveats.
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Overview
Reddit Search searches public Reddit posts globally by query, with optional sort, timeframe, after-token pagination, and trim mode. Use it to discover communities, recurring topics, pain points, questions, and content examples before narrowing into a subreddit or thread.
Use cases
- Search Reddit broadly for conversations around a market, competitor, pain point, or product category.
- Find which subreddits and post formats appear around a topic before deeper community research.
- Use the after token from a prior result to continue reviewing global Reddit matches.
Input tips
- Use a specific query; broad one-word searches can be noisy.
- Choose relevance, new, top, or comment_count sort only when ranking matters.
- Add a timeframe when the research needs a recency window.
- Paste the after token from a prior result to fetch the next page.
- Use trim when a lighter response is enough for an initial scan.
Expected output
The AI Tool returns lookup status, query, sort, timeframe, trim flag, requested after token, next after or cursor signals, pagination status, warnings, normalization notes, and normalized Reddit posts. Posts can include IDs, Reddit names, titles, text snippets, authors, subreddit names and metadata, URLs, permalinks, outbound links, domains, score, upvote ratio, comment counts, timestamps, flair, thumbnail and media fields, NSFW, spoiler, pinned, locked, and other status flags, preserved extra fields, and cost metadata.
Caveats
- It searches public Reddit posts broadly; it does not return a complete Reddit archive.
- Results depend on query wording, sort, timeframe, pagination token, and source availability.
- Use Reddit Subreddit Search when you already know the community to search inside.
- Scores, comments, rankings, media, and post availability can change after the run.
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