Reddit Posts & Comments Scraper
Pricing
from $1.00 / 1,000 results
Go to Apify Store
Reddit Posts & Comments Scraper
Find viral content ideas, and research niche communities. Extract Reddit posts, comments, and discussion data from search queries.
Reddit Posts & Comments Scraper
Pricing
from $1.00 / 1,000 results
Find viral content ideas, and research niche communities. Extract Reddit posts, comments, and discussion data from search queries.
You can access the Reddit Posts & Comments Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "jWGGe7fZWg7hsthNE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~reddit-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-reddit-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/devcake~reddit-search-scraper/runs": { "post": { "operationId": "runs-sync-devcake-reddit-search-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/devcake~reddit-search-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-reddit-search-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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "minItems": 1, "maxItems": 50, "uniqueItems": true, "type": "array", "description": "Enter keywords to search Reddit. Each query runs as a separate search.", "items": { "type": "string", "maxLength": 500 }, "default": [] }, "max_posts_per_query": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Posts to collect per query. Higher = longer runtime. Test with 1-5 first.", "default": 20 }, "include_comments": { "title": "Extract Comment Text", "type": "boolean", "description": "Include available comment text with each post.", "default": false }, "max_comments_per_post": { "title": "Max Comments Per Post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum comments to extract per post. Lower values run faster.", "default": 100 }, "detail_workers": { "title": "Processing Speed", "minimum": 1, "maximum": 8, "type": "integer", "description": "Controls how quickly post details are collected. The default works well for most runs.", "default": 4 }, "comment_expansion_workers": { "title": "Comment Speed", "minimum": 1, "maximum": 4, "type": "integer", "description": "Controls parallel fallback requests used when the initial post page does not contain enough comments. Separate sticky sessions are used for values above 1.", "default": 2 }, "sort": { "title": "Sort By", "enum": [ "relevance", "hot", "new", "top", "comments" ], "type": "string", "description": "'Relevance' and 'Comments' sort by search metrics. 'Hot', 'New', 'Top' sort by activity.", "default": "relevance" }, "time": { "title": "Time Filter", "enum": [ "all", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Limit posts by age. <strong>hour</strong>=past hour, <strong>day</strong>=24h, <strong>week</strong>=7d, <strong>month</strong>=30d, <strong>year</strong>=365d, <strong>all</strong>=no filter.", "default": "all" } } }, "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 Posts & Comments Scraper from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: