{ "openapi": "3.0.1", "info": { "title": "Reddit Public Data Scraper - Comments & RAG", "description": "Extract public Reddit posts, comments, search results, user streams, sentiment, quality scores, and RAG Markdown with no OAuth setup for public data workflows. 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Example: LocalLLaMA, webscraping, SaaS. The scraper fetches posts from each using the selected sort.", "items": { "type": "string" } }, "search": { "title": "Search query", "type": "string", "description": "Reddit-wide keyword search. Example: \"notebooklm vs chatgpt\" or subreddit:SaaS \"looking for\". Processed after postIds/users and before subreddit listings until maxItems is reached." }, "users": { "title": "User handles", "type": "array", "description": "Reddit usernames without u/. Example: spez. Fetches each user's submitted posts after postIds and before search/subreddits.", "items": { "type": "string" } }, "postIds": { "title": "Post IDs", "type": "array", "description": "Specific post IDs, for example 1k0abc, to fetch directly with full content and optional comments. Processed first; other sources can fill remaining maxItems capacity.", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "hot", "new", "top", "rising", "controversial" ], "type": "string", "description": "How to sort listings, for example top for weekly research or new for brand monitoring. Ignored for postIds.", "default": "hot" }, "timeframe": { "title": "Timeframe (for top/controversial)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Only used when sort is top or controversial. Example: week for weekly subreddit digest reports.", "default": "day" }, "maxItems": { "title": "Max posts", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of posts to return across all sources. Each post counts as one PPE event and includes engagementScore/source fields for filtering. Increase after trying the free sample.", "default": 10 }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Fetch the comment tree for each post. Example: enable this to scrape Reddit comments for sentiment analysis or RAG context.", "default": false }, "maxComments": { "title": "Max comments per post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Only used when Include comments is on. Example: 20 keeps top thread context without overloading the run.", "default": 20 }, "maxCommentDepth": { "title": "Max comment depth", "minimum": 0, "maximum": 10, "type": "integer", "description": "How deep to traverse reply threads. 0 = top-level only, 3 = includes replies-of-replies-of-replies.", "default": 3 }, "outputFormat": { "title": "Output format", "enum": [ "full", "minimal", "rag" ], "type": "string", "description": "'full' includes every Reddit field. 'minimal' keeps just the key fields. 'rag' outputs a single Markdown block per post, ready to ingest into a vector DB.", "default": "full" }, "skipNsfw": { "title": "Skip NSFW posts", "type": "boolean", "description": "Filter out posts marked over_18 by Reddit.", "default": false }, "minScore": { "title": "Minimum score", "minimum": 0, "type": "integer", "description": "Drop posts with fewer upvotes than this. 0 = no filter.", "default": 0 }, "includeSentiment": { "title": "Tag comments with sentiment", "type": "boolean", "description": "Premium: classify each comment as positive / negative / neutral via lexicon scoring (no LLM cost). Useful for filtering hostile threads.", "default": true }, "includeQualityScore": { "title": "Include 0.0-1.0 completeness score", "type": "boolean", "description": "Premium: per-post quality score weighted by title, author, score, content, comments, flair, and stickied/locked status. 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