{ "openapi": "3.0.1", "info": { "title": "Reddit Scraper Pro", "description": "High-performance Reddit scraper (99%+ success rate) for automation workflows. Monitor subreddits, track keywords with sentiment analysis, scrape comments, and integrate with n8n/Zapier for powerful automation.", "version": "1.0", "x-build-id": "00hc2BJLehjLvwHLM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdatalabs~reddit-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdatalabs-reddit-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/webdatalabs~reddit-scraper-pro/runs": { "post": { "operationId": "runs-sync-webdatalabs-reddit-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/webdatalabs~reddit-scraper-pro/run-sync": { "post": { "operationId": "run-sync-webdatalabs-reddit-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchMode": { "title": "Search Mode", "enum": [ "keyword", "subreddit" ], "type": "string", "description": "Choose how to search Reddit", "default": "keyword" }, "searchSort": { "title": "Keyword Search Sort", "enum": [ "relevance", "new", "top", "comments" ], "type": "string", "description": "How to sort keyword-search results (keyword mode only). 'Relevance' gives the broadest coverage; 'New' is best for monitoring fresh mentions.", "default": "relevance" }, "keywords": { "title": "Keywords to Track", "type": "array", "description": "Keywords to search for across Reddit. In keyword mode: searches all of Reddit. In subreddit mode: filters posts containing these keywords.", "default": [ "AI", "ChatGPT", "web scraping" ], "items": { "type": "string" } }, "subreddits": { "title": "Subreddits to Monitor", "type": "array", "description": "List of subreddits to scrape (without 'r/' prefix). Example: 'webdev', 'programming'. Leave empty in keyword mode to search all of Reddit.", "default": [], "items": { "type": "string" } }, "maxItemsPerSubreddit": { "title": "Max Posts Per Subreddit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum posts to scrape per subreddit or search query. Start with 50 for testing, increase to 500-1000 for production runs.", "default": 50 }, "minUpvotes": { "title": "Minimum Upvotes", "minimum": 0, "type": "integer", "description": "Only include posts with at least this many upvotes. Filter out low-quality content. Default 0 captures every mention (ideal for keyword/brand monitoring); raise it to filter noise.", "default": 0 }, "maxAgeHours": { "title": "Maximum Post Age (hours)", "minimum": 0, "maximum": 8760, "type": "integer", "description": "Only include posts from the last X hours. Default 0 = no age limit (captures all matching mentions, best with Relevance sort). Set 168 for last-7-days or 24 for daily monitoring.", "default": 0 }, "includeComments": { "title": "Scrape Comments", "type": "boolean", "description": "Fetch comments for each post. Note: increases run time and costs significantly. Recommended: keep disabled unless you need comment data.", "default": false }, "commentDepth": { "title": "Comment Depth", "minimum": 0, "maximum": 5, "type": "integer", "description": "Levels of nested replies to fetch (0 = top-level only, 2 = replies to replies). Ignored if 'Scrape Comments' is off.", "default": 1 }, "analyzeSentiment": { "title": "Sentiment Analysis", "type": "boolean", "description": "Analyze sentiment of posts using AFINN-165 NLP. Adds sentiment_score and sentiment_label (positive/negative/neutral) to each post. Perfect for brand monitoring!", "default": true }, "webhookUrl": { "title": "Webhook URL for Automation", "pattern": "^https?://", "type": "string", "description": "Send results to n8n, Zapier, or custom webhook. Results are POSTed as JSON when run completes. 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