{ "openapi": "3.0.1", "info": { "title": "Reddit Scraper - Posts, Comments, Subreddits & Users", "description": "Fast, reliable Reddit scraper. Extract posts, comments, subreddits & users from any subreddit without Reddit API keys or login. AI-ready JSON for LLM training, sentiment analysis, lead generation. 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Each subreddit contributes up to 'maxPosts' posts. If you leave this empty, you MUST provide 'searchQuery' to search across all of Reddit. Example for tech discussion: ['technology', 'programming']. Example for trading: ['wallstreetbets', 'stocks', 'investing'].", "items": { "type": "string" } }, "searchQuery": { "title": "Search query", "type": "string", "description": "Free-text search term. Combine with 'subreddits' to search within those subreddits, or leave 'subreddits' empty to search all of Reddit. Supports Reddit search syntax (e.g. 'openai AND gpt', 'flair:news', 'author:spez'). Leave empty if you only want to list posts from specific subreddits." }, "maxPosts": { "title": "Max posts", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum posts to scrape per subreddit (or total when using searchQuery without subreddits). Each post = 1 billable event. Typical values: 25 for quick exploration, 50-100 for research, 250+ for datasets. Hard cap 500 to prevent runaway costs.", "default": 50 }, "sort": { "title": "Sort by", "enum": [ "hot", "new", "top", "rising" ], "type": "string", "description": "Order in which posts are returned. 'hot' = trending now (best for monitoring). 'new' = most recent (best for real-time tracking). 'top' = highest score in 'timeFilter' window (best for historical analysis — requires timeFilter). 'rising' = gaining traction (best for spotting new content early).", "default": "hot" }, "timeFilter": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for 'top' sort only. Ignored for hot/new/rising. 'day' and 'week' are most common. Use 'all' for historical all-time top posts. Example: sort='top' + timeFilter='week' returns the week's most upvoted posts.", "default": "day" }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "When true, comments for each post are also scraped and included in the output. Set to true for sentiment analysis, Q&A, thread analysis, or training data. Set to false (default) if you only need post metadata — this is much faster and cheaper (1 request per post instead of 2).", "default": false }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Upper bound on comments extracted per post, including nested replies at every depth. Only used when 'includeComments' is true. Reddit returns top-ranked comments first. Typical values: 25 for summary, 100 for full threads, 500 for exhaustive scraping of viral posts.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }