{ "openapi": "3.0.1", "info": { "title": "Reddit Lead Gen Scraper", "description": "Find Reddit leads by keyword — scrape posts & comments mentioning your product, niche, or pain points. Filter by subreddit, score & time. Export structured data for outreach, sales prospecting & competitor research.", "version": "1.0", "x-build-id": "3d2e8yDU00lLUfV3A" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sentry~reddit-lead-gen-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sentry-reddit-lead-gen-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sentry~reddit-lead-gen-scraper/runs": { "post": { "operationId": "runs-sync-sentry-reddit-lead-gen-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sentry~reddit-lead-gen-scraper/run-sync": { "post": { "operationId": "run-sync-sentry-reddit-lead-gen-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Buying Intent Phrases", "type": "array", "description": "Phrases people use when they're actively looking to buy, switch, or get a recommendation. Each phrase is searched independently across all of Reddit.\n\nExamples of high-intent phrases:\n• \"recommend a CRM\"\n• \"switching from Salesforce\"\n• \"looking for project management tool\"\n• \"best email marketing software\"\n• \"anyone use X for Y\"\n\nTip: include your competitor's name to catch people looking to switch away from them.", "items": { "type": "string" } }, "sortBy": { "title": "Sort Results By", "enum": [ "new", "relevance", "top", "hot", "comments" ], "type": "string", "description": "How Reddit ranks the results returned for each phrase.\n\n• New — most recent posts first. Best for finding fresh leads before competitors see them.\n• Relevance — Reddit's own relevance ranking.\n• Top — highest-scored posts. Good for finding high-visibility buying discussions.\n• Hot — currently active threads.", "default": "new" }, "timeFilter": { "title": "Time Window", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Only return posts and comments from within this time window. 'Past week' catches fresh intent signals without missing recent discussions. Use 'Past month' for broader coverage of slower-moving buying cycles.", "default": "week" }, "searchPosts": { "title": "Search Posts", "type": "boolean", "description": "Search Reddit posts (threads, discussions, links) for buying intent phrases. Most high-intent ask posts are top-level posts.", "default": true }, "searchComments": { "title": "Search Comments", "type": "boolean", "description": "Also search individual comments for buying intent phrases. Recommended — many of the best leads are comments like 'anyone know a good X?' buried inside existing threads.", "default": true }, "subredditFilter": { "title": "Restrict to Subreddits (optional)", "type": "array", "description": "Limit results to specific subreddits for more targeted lead gen. Leave empty to search all of Reddit. Examples for B2B SaaS: entrepreneur, startups, smallbusiness, sales. Accepts any format: sales, r/sales, or full URL.", "default": [], "items": { "type": "string" } }, "maxResultsPerKeyword": { "title": "Max Results Per Phrase", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of results to collect per intent phrase. 50 is a good starting point — enough to find real leads without overwhelming your workflow.", "default": 50 }, "minScore": { "title": "Minimum Upvote Score", "minimum": 0, "type": "integer", "description": "Ignore results with fewer upvotes than this. Keep at 0 to catch brand-new posts before anyone else — the freshest leads have no votes yet.", "default": 0 }, "trackChanges": { "title": "Track Changes Between Runs", "type": "boolean", "description": "Saves a snapshot after each run. On the next run, adds a scoreDelta field showing how much traction each thread has gained. Useful when running weekly — rising upvotes on an intent thread means the conversation is still active and worth engaging.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for routing requests. Residential proxies are strongly recommended for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } }