{ "openapi": "3.0.1", "info": { "title": "Reddit Scraper - Posts, Comments, Search, AI Answers, MCP, AI", "description": "The only Reddit scraper with AI Answers + TLS fingerprinting. Scrape posts, comments, search results & subreddits. No API key, no login. AI-ready JSON output. 6 actions in 1 Actor. Browser-grade anti-detection. Parallel comment fetching. $2/1k posts.", "version": "2.0", "x-build-id": "TXNfgeMEfkCTd8LTn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/openclawai~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-openclawai-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/openclawai~reddit-scraper/runs": { "post": { "operationId": "runs-sync-openclawai-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/openclawai~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-openclawai-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "🔗 Reddit URLs", "type": "array", "description": "Any reddit.com links, one per line: a subreddit (https://www.reddit.com/r/Python/top/?t=week), a post (…/comments/abc123/…), a user (https://www.reddit.com/user/spez) or a search page (https://www.reddit.com/search/?q=laptop). Sort and time in the URL are respected.", "items": { "type": "string" } }, "subreddits": { "title": "📝 Subreddits", "type": "array", "description": "Subreddit names to crawl, without r/ — e.g. 'MachineLearning'. Uses the Sort and Time settings below.", "default": [], "items": { "type": "string" } }, "searches": { "title": "🔍 Search keywords", "type": "array", "description": "Keywords or phrases to search across Reddit (or inside one subreddit, see below). Each keyword is its own search.", "items": { "type": "string" } }, "searchType": { "title": "🎯 What to search for", "enum": [ "posts", "communities", "users" ], "type": "string", "description": "Posts (default), communities (subreddits) or users matching the keywords.", "default": "posts" }, "searchSubreddit": { "title": "📍 Limit search to one subreddit (optional)", "type": "string", "description": "Restrict keyword searches to a single subreddit, e.g. 'programming'. Leave empty to search all of Reddit." }, "users": { "title": "👤 Users", "type": "array", "description": "Usernames to scrape (profile, their posts and their comments), without u/.", "default": [], "items": { "type": "string" } }, "sort": { "title": "📊 Sort", "enum": [ "", "hot", "new", "top", "rising", "controversial", "relevance", "comments" ], "type": "string", "description": "Subreddits: hot, new, top, rising, controversial. Searches: relevance, hot, top, new, comments. Leave empty for the platform default (hot / relevance). Ignored when the URL already contains a sort.", "default": "" }, "time": { "title": "⏰ Time range", "enum": [ "all", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Applies to Top / Controversial sorts and to searches.", "default": "all" }, "maxItems": { "title": "🔢 Max items per input", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Posts per subreddit / search / user, or comments / communities / users per search (1–10,000). Reddit itself stops any single listing at about 1,000.", "default": 50 }, "includeComments": { "title": "💬 Include comments on every post", "type": "boolean", "description": "Fetch the comment tree for each post (nested replies flattened with depth and parent). Slower; posts still cost the same, comments inside a post are free.", "default": false }, "maxCommentsPerPost": { "title": "💬 Max comments per post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on comments collected per post when Include comments is on (1–500).", "default": 50 }, "commentSort": { "title": "💬 Comment order", "enum": [ "top", "new", "controversial", "old", "qa" ], "type": "string", "description": "How comments are ordered before the cap is applied.", "default": "top" }, "postedAfter": { "title": "📅 Posts on or after (YYYY-MM-DD)", "type": "string", "description": "Keep only posts created on or after this date (UTC). Combine with Sort = new for date-window crawls." }, "postedBefore": { "title": "📅 Posts on or before (YYYY-MM-DD)", "type": "string", "description": "Keep only posts created on or before this date (UTC)." }, "includeNSFW": { "title": "🔞 Include NSFW content", "type": "boolean", "description": "Off drops posts and communities marked 18+.", "default": true }, "answerQueries": { "title": "🤖 Reddit AI Answers questions (optional)", "type": "array", "description": "Questions to ask Reddit's built-in AI Answers engine. Each answer is one row with sources.", "default": [], "items": { "type": "string" } }, "threads": { "title": "⚡ Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many inputs run in parallel (1–20).", "default": 5 }, "proxyConfiguration": { "title": "🛡️ Proxy", "type": "object", "description": "Residential proxy (default) keeps runs reliable; Reddit throttles datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "action": { "title": "Legacy: action (older saved inputs)", "enum": [ "scrape_subreddit", "search_posts", "search_comments", "search_subreddits", "fetch_post", "reddit_answers" ], "type": "string", "description": "Older saved inputs only. Prefer the fields above." }, "subreddit": { "title": "Legacy: subreddit", "type": "string", "description": "Older saved inputs only." }, "query": { "title": "Legacy: query", "type": "string", "description": "Older saved inputs only." }, "postUrl": { "title": "Legacy: post URL", "type": "string", "description": "Older saved inputs only." }, "limit": { "title": "Legacy: limit", "type": "integer", "description": "Older saved inputs only." } } }, "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 } } } } } } } } } }