{ "openapi": "3.0.1", "info": { "title": "Reddit Posts Scraper — (with Comments & Replies)", "description": "Extract Reddit posts, comments & subreddit data with no login required. Returns title, score, author, flair, body text, and dates. JSON API-powered for 99%+ reliability.", "version": "1.0", "x-build-id": "UPRqd96ZMU4LkX99z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~reddit-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-reddit-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~reddit-posts-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-reddit-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~reddit-posts-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-reddit-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "subreddits": { "title": "Subreddits", "type": "array", "description": "Use this field when the user provides subreddit names (with or without r/ prefix). Each subreddit fetches posts using the Sort and Time Filter settings. Leave empty if using Search Queries or Start URLs instead. Examples: 'programming', 'r/learnpython', 'MachineLearning'.", "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Use this field when the user describes a topic or keyword to search across all of Reddit. Each query runs a full Reddit search. Do NOT use this when the user provides a subreddit name — use Subreddits instead. Examples: 'best laptop 2025', 'AI news', 'side hustle ideas'.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Use this field when the user provides a specific Reddit URL. Supports any Reddit URL: subreddit pages, post pages, search pages, or user profile pages. Examples: https://www.reddit.com/r/datascience/, https://www.reddit.com/r/programming/top/.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "redditClientId": { "title": "Reddit Client ID (for cloud use)", "type": "string", "description": "Optional Reddit app client_id for OAuth. Needed when running on cloud servers (Apify cloud IPs are blocked by Reddit). Get one free in 2 min: go to reddit.com/prefs/apps → create app → choose \"installed app\" → copy the ID shown under the app name. No user login or secret required." }, "sort": { "title": "Sort By", "enum": [ "hot", "new", "top", "rising", "controversial", "relevance" ], "type": "string", "description": "How to sort posts. 'hot' = currently popular. 'new' = most recent. 'top' = highest score (use with Time Filter). 'rising' = gaining momentum. 'controversial' = most debated. 'relevance' = best match for search queries only.", "default": "hot" }, "time": { "title": "Time Filter", "enum": [ "all", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Time range for 'top', 'controversial', and search results. Ignored for 'hot', 'new', and 'rising'. Options: hour, day, week, month, year, all.", "default": "all" }, "maxResults": { "title": "Max Posts", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Maximum number of posts to save in total across all sources. Each page returns up to 100 posts. Set to 0 for unlimited (up to Reddit's per-source caps). Default: 50.", "default": 50 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "If enabled, scrapes the top comments for each post scraped. Significantly increases run time and data output. Each comment is saved as a separate record with data_type: 'comment'.", "default": false }, "maxCommentsPerPost": { "title": "Max Comments Per Post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of comments to scrape per post (only when Include Comments is enabled). Comments are flattened from nested threads. Default: 20.", "default": 20 }, "includeNSFW": { "title": "Include NSFW Content", "type": "boolean", "description": "Include posts marked as NSFW (Not Safe For Work / 18+). Disabled by default.", "default": false }, "minScore": { "title": "Minimum Score (Upvotes)", "type": "integer", "description": "Only include posts with at least this many upvotes. Leave empty for no minimum. Useful for filtering to only high-quality posts." }, "maxScore": { "title": "Maximum Score (Upvotes)", "type": "integer", "description": "Only include posts with at most this many upvotes. Leave empty for no maximum." }, "minComments": { "title": "Minimum Comments", "type": "integer", "description": "Only include posts with at least this many comments. Leave empty for no minimum." }, "flairFilter": { "title": "Flair Filter", "type": "string", "description": "Only include posts with this exact flair text. Case-sensitive. Example: 'Question', 'Discussion', 'Tutorial'. Leave empty to include all flairs." }, "authorFilter": { "title": "Author Filter", "type": "string", "description": "Only include posts from this specific Reddit username (without u/). Leave empty to include all authors." }, "postDateLimit": { "title": "Post Date Limit (exclude posts older than)", "type": "string", "description": "Only include posts created after this date. Format: YYYY-MM-DD or ISO 8601 (e.g., 2025-01-01). Pagination stops automatically when posts older than this date are encountered." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for Reddit scraping. Reddit blocks some datacenter IPs. Using Apify Residential proxies improves reliability significantly. Highly recommended for large-scale runs." } } }, "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 } } } } } } } } } }