{ "openapi": "3.0.1", "info": { "title": "Fast Reddit Scraper ($2/1k): Cheap & Bulk Data", "description": "The most affordable Reddit scraper on the store. 60% cheaper than the competition. Perfect for training AI models, bulk historical data, and sentiment analysis.", "version": "0.0", "x-build-id": "27yDHcMfcFf0pD6NA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/practicaltools~apify-reddit-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-practicaltools-apify-reddit-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/practicaltools~apify-reddit-api/runs": { "post": { "operationId": "runs-sync-practicaltools-apify-reddit-api", "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/practicaltools~apify-reddit-api/run-sync": { "post": { "operationId": "run-sync-practicaltools-apify-reddit-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Reddit URLs to scrape directly. Supports three URL types:\n• Subreddit (e.g. reddit.com/r/python/) — scrapes the subreddit feed\n• Post (e.g. reddit.com/r/python/comments/abc123/) — fetches that post and its comments\n• User (e.g. reddit.com/user/someuser/) — fetches the user profile and their recent posts\n\nTip: combine with Search Queries to search within a specific subreddit instead of globally.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "pattern": "^(https?:\\/\\/)?(www\\.)?reddit\\.com\\/.+$", "description": "A valid Reddit URL." } }, "required": [ "url" ] } }, "searches": { "title": "Search Queries", "type": "array", "description": "Keywords or phrases to search for on Reddit. Each query runs independently and returns up to Max Items results.\n\nTip: wrap a query in quotes for exact phrase matching — e.g. '\"web scraping\"' will only match that exact phrase, while 'web scraping' matches posts containing both words anywhere.\n\nWhat gets searched depends on the search type flags below. If you also provide a subreddit in Start URLs, the search is scoped to that subreddit. Otherwise it searches all of Reddit.", "items": { "type": "string" } }, "sort": { "title": "Sort By", "enum": [ "relevance", "hot", "new", "top", "comments", "controversial", "rising" ], "type": "string", "description": "How to order results.\n\nFor search queries: relevance (default) gives the best matches; new/top/hot/comments also work.\nFor subreddit feeds: hot/new/top/controversial/rising. If you pick 'relevance' with a subreddit feed, it falls back to hot.\n\nrelevance and comments are only valid for searches, not subreddit feeds.", "default": "relevance" }, "time": { "title": "Time Filter", "enum": [ "all", "day", "hour", "month", "week", "year" ], "type": "string", "description": "Limits results to posts created within the selected time window. Applies to both subreddit feeds and search queries. Use 'all' to include posts from any time.", "default": "all" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of results per job. Each search query, subreddit, or URL counts as a separate job, so total output can exceed this number when you have multiple inputs.\n\nExample: 2 search queries × maxItems 25 = up to 50 posts total.", "default": 25 }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include NSFW (Not Safe For Work) content.", "default": false }, "skipComments": { "title": "Skip Comments (for direct post URLs)", "type": "boolean", "description": "When scraping a direct post URL, comments are fetched by default. Enable this to get only the post metadata without its comments. Does not affect the 'Fetch Comments for Each Post' option.", "default": false }, "skipUserPosts": { "title": "Skip User Posts", "type": "boolean", "description": "When scraping a user profile, recent posts are fetched by default alongside profile info. Enable this to get only the profile metadata.", "default": false }, "skipCommunity": { "title": "Skip Community Info", "type": "boolean", "description": "When scraping a subreddit feed, community metadata (member count, description, etc.) is fetched alongside posts. Enable this to skip that extra request and get only posts.", "default": true }, "ignorestartUrls": { "title": "Ignore Start URLs", "type": "boolean", "description": "Forces search-only mode — Start URLs are ignored even if provided. Useful if you have URLs saved in your input but want to run a search-only job without deleting them.", "default": false }, "searchPosts": { "title": "Search Posts", "type": "boolean", "description": "Find posts matching the search keyword. Returns post objects with title, body, upvotes, and comment count. On by default — disable if you only want comments, communities, or users.", "default": true }, "searchComments": { "title": "Search Comments", "type": "boolean", "description": "Find comments matching the search keyword. Works by fetching posts that match the keyword and then filtering their comments — this uses more API calls than post search.", "default": false }, "fetchPostComments": { "title": "Fetch Comments for Each Post", "type": "boolean", "description": "When enabled, each post returned from a subreddit or keyword search will include a 'comments' array with its top-level comments. Significantly increases API usage — one extra request per post.", "default": false }, "searchCommunities": { "title": "Search Communities", "type": "boolean", "description": "Find subreddits whose name or description matches the keyword. Returns community objects with member count, description, and URL.", "default": false }, "searchUsers": { "title": "Search Users", "type": "boolean", "description": "Find Reddit user accounts matching the keyword. Returns user objects with karma, profile info, and account age.", "default": false } } }, "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 } } } } } } } } } }