{ "openapi": "3.0.1", "info": { "title": "๐Ÿ”ฅ Reddit Scraper + Ads Library - Posts [NO COOKIES] โœ…", "description": "The most complete Reddit scraper on Apify. Extract posts, comments with full reply chains, subreddit metadata, user profiles, AND ads from the Reddit Ads Library - all without API keys, cookies, or login. Built for market researchers, content marketers, and competitive intel teams.", "version": "0.0", "x-build-id": "panIcK6oyfDec89Jd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unseenuser~Reddit-Scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unseenuser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unseenuser~Reddit-Scraper/runs": { "post": { "operationId": "runs-sync-unseenuser-Reddit-Scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unseenuser~Reddit-Scraper/run-sync": { "post": { "operationId": "run-sync-unseenuser-Reddit-Scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "1. What do you want?", "enum": [ "subreddit_posts", "reddit_search", "post_comments", "subreddit_search", "subreddit_info", "ads_search", "ad_details" ], "type": "string", "description": "Pick one. The 'Paste your input' field below adapts to your choice.", "default": "subreddit_posts" }, "targets": { "title": "2. Paste your input here (one per line)", "type": "array", "description": "What to paste depends on your mode: ๐Ÿ“ฐ / ๐Ÿ” / โ„น๏ธ subreddit names (r/SaaS or SaaS both work) ยท ๐Ÿ”Ž / ๐Ÿ’ฐ search terms ยท ๐Ÿ’ฌ full Reddit post URLs ยท ๐ŸŽฏ ad IDs.", "default": [], "items": { "type": "string" } }, "timeRange": { "title": "3. What to fetch", "enum": [ "hot-now", "newest", "rising", "top-past-hour", "top-today", "top-this-week", "top-this-month", "top-this-year", "top-all-time", "controversial-today", "controversial-all-time", "most-relevant", "most-comments" ], "type": "string", "description": "One preset that covers both sort order and time window. Ignored where it doesn't apply (e.g. โ„น๏ธ Subreddit info, ๐ŸŽฏ Ad details).", "default": "top-this-week" }, "limit": { "title": "4. How many results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Universal cap on what comes back. Applies to posts, comments, or ads depending on your mode.", "default": 100 }, "keywords": { "title": "5. Search terms (๐Ÿ” Subreddit search only)", "type": "array", "description": "Only used with ๐Ÿ” Subreddit search. These are the words to search FOR, inside the subreddits you pasted above.", "default": [], "items": { "type": "string" } }, "adFilters": { "title": "๐Ÿ’ฐ Ads filters (optional, any combination)", "type": "array", "description": "Optional. Only used with ๐Ÿ’ฐ Ads Library search. Paste any mix of these tokens - the actor sorts them into industry / budget / format / placement / objective automatically. Allowed tokens: RETAIL_AND_ECOMMERCE, TECH_B2B, TECH_B2C, EDUCATION, ENTERTAINMENT, GAMING, FINANCIAL_SERVICES, HEALTH_AND_BEAUTY, CONSUMER_PACKAGED_GOODS, EMPLOYMENT, AUTO, TRAVEL, REAL_ESTATE, GAMBLING_AND_FANTASY_SPORTS, POLITICS_AND_GOVERNMENT, OTHER, LOW, MEDIUM, HIGH, IMAGE, VIDEO, CAROUSEL, FREE_FORM, FEED, COMMENTS_PAGE, IMPRESSIONS, CLICKS, CONVERSIONS, VIDEO_VIEWABLE_IMPRESSIONS, APP_INSTALLS.", "default": [], "items": { "type": "string" } }, "commentDepth": { "title": "๐Ÿ’ฌ Reply depth (๐Ÿ’ฌ Post comments only)", "minimum": 0, "type": "integer", "description": "Only used with ๐Ÿ’ฌ Post comments. 0 = top-level only. 5 is a good default.", "default": 5 } } }, "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 } } } } } } } } } }