Reddit Scraper
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Pay per usage
Reddit Scraper
Pricing
Pay per usage
Rating
0.0
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AI Automation
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1
Bookmarked
3
Total users
2
Monthly active users
21 days ago
Last modified
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Reddit Scraper
Pricing
Pay per usage
Pricing
Pay per usage
Rating
0.0
(0)
Developer
AI Automation
Actor stats
1
Bookmarked
3
Total users
2
Monthly active users
21 days ago
Last modified
Categories
Share
You can access the Reddit Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "SN38S5qk4LXLESHIg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khaki_yak~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khaki_yak-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khaki_yak~reddit-scraper/runs": { "post": { "operationId": "runs-sync-khaki_yak-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khaki_yak~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-khaki_yak-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searches": { "title": "Search Queries", "type": "array", "description": "List of search queries to run on Reddit (e.g. [\"lose weight\", \"best programming language\"])", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct Reddit URLs to scrape — posts, subreddits, or user profiles", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchPosts": { "title": "Search Posts", "type": "boolean", "description": "Include posts in search results", "default": true }, "searchComments": { "title": "Search Comments", "type": "boolean", "description": "Include comments in search results", "default": false }, "searchCommunities": { "title": "Search Communities", "type": "boolean", "description": "Include communities/subreddits in search results", "default": false }, "searchUsers": { "title": "Search Users", "type": "boolean", "description": "Include users in search results", "default": false }, "sort": { "title": "Sort", "enum": [ "relevance", "hot", "new", "top", "comments" ], "type": "string", "description": "Sort order for search results", "default": "relevance" }, "time": { "title": "Time Range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time range filter for search results", "default": "all" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total number of items to scrape across all searches/URLs", "default": 50 }, "maxPostCount": { "title": "Max Posts per Search", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of posts to scrape per search query or subreddit", "default": 50 }, "maxComments": { "title": "Max Comments per Post", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of comments to scrape per post", "default": 50 }, "maxCommunitiesCount": { "title": "Max Communities", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of communities to return per search", "default": 2 }, "maxUserCount": { "title": "Max Users", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of users to return per search", "default": 2 }, "skipComments": { "title": "Skip Comments", "type": "boolean", "description": "If true, don't scrape comments for each post", "default": true }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include NSFW (Not Safe For Work) content in results", "default": false }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration. RESIDENTIAL proxies recommended for Reddit." }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "Enable detailed logging for debugging", "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Reddit Scraper from the options below:
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