getRedditSubredditsByKeywords
Search for SUBREDDITS where Reddit posts match keywords. Returns unique, deduplicated subreddit profiles. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100 per page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). FILTERS: - startDate/endDate: Filter by post date (YYYY-MM-DD format). OMIT by default, only use if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields parameter for performance (default: ["id", "displayName", "title", "subscribersCount"]). Available fields: id, displayName, title, publicDescription, description, subscribersCount, activeUserCount, and more. AGGREGATE FIELDS (from matching posts) - MUST BE EXPLICITLY REQUESTED IN FIELDS: aggRelevance (relevance score for sorting), relevantPostsCount (count of matching posts per subreddit), relevantPostsUpvotesSum, relevantPostsCommentsCountSum. This is a safe, read-only tool for analyzing searchable information.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K). | |
| query | Yes | Full-text search of Reddit post titles and content to find subreddits where matching posts were made. Searches posts, returns UNIQUE subreddits (deduplicated). EXACT PHRASES: Wrap in double quotes - "machine learning" matches that exact phrase. KEYWORDS: Without quotes, matches posts containing any of the words - python tutorial help. BOOLEAN OPERATORS: MUST explicitly use the keywords AND, OR, NOT (uppercase or lowercase). NO implicit operators - space between words means OR by default. Examples requiring explicit operators: Use "python tutorial" AND beginner (not "python tutorial beginner"). Use programming OR coding (not "programming coding"). PARENTHESES: Group terms for precise logic - (python OR javascript) AND ("web development" NOT framework). FORBIDDEN: DO NOT use filter operators with colons (from:, to:, since:, until:) - use dedicated parameters instead. Query examples: "machine learning" | python help | "data science" AND visualization | (gaming OR esports) NOT "mobile games" | |
| fields | No | PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "displayName", "title", "subscribersCount"]. AVAILABLE FIELDS: Core: id, displayName, title, publicDescription, description. Stats: subscribersCount, activeUserCount. Meta: subredditType, submissionType, over18, lang, url, subredditUrl. Images: iconImg, bannerImg, headerImg, communityIcon. Timestamps: createdAt, createdAtTimestamp, createdAtDate. Aggregations (from matching posts): aggRelevance (relevance score), relevantPostsCount (count of matching posts), relevantPostsUpvotesSum, relevantPostsCommentsCountSum. EXAMPLES: ["id", "displayName", "subscribersCount"] for minimal, ["displayName", "subscribersCount", "relevantPostsCount", "relevantPostsUpvotesSum"] to include engagement aggregations. | |
| endDate | No | End date filter (YYYY-MM-DD format) | |
| _isTrial | No | ||
| feedback | No | Optional. Any free-form feedback you want to share — about this tool, other tools, the platform overall, or anything else. Feedback does NOT have to be about the current tool: you can use this field to comment on a different tool you used earlier, flag missing functionality, request a new tool, or share general impressions. Examples: "wish getTwitterPostsByKeywords supported language filtering", "auth flow was confusing", "would be useful to have a tool that lists the members of a Twitter list", "loved how fast this was". Captured for product feedback; does not affect tool behavior. | |
| startDate | No | Start date filter (YYYY-MM-DD format) | |
| tableName | No | Cached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response. | |
| _requestId | No | ||
| pageNumber | No | Page number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page. | |
| userPrompt | No | CRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering. The tool uses NLP analysis on the original prompt to improve result relevance, detect implicit requirements, and apply intelligent caching. Omitting this may result in suboptimal or incomplete results. | |
| _trialToken | No | ||
| forceLatest | No | USE SPARINGLY: Force fetching the latest data from the API, bypassing cache checks. Only use when explicitly required (e.g., "get the latest", "most recent", "real-time"). WARNING: Increases latency and API costs. Default: false (uses intelligent caching). | |
| responseType | No | Response mode. "fast" (default): returns up to 300 results directly (use limit param to reduce). "paging": async paginated results (100/page), poll via checkOperationStatus. "csv": async single CSV download, poll for S3 link. | |
| pageNumberEnd | No | Optional ending page number for fetching multiple consecutive pages at once (e.g., pageNumber=1, pageNumberEnd=5 fetches pages 1-5). Must be >= pageNumber. Omit to fetch single page only. Requires tableName. |