{ "openapi": "3.0.1", "info": { "title": "Reddit Buying Intent Lead Monitor", "description": "Find B2B buying-intent posts on Reddit from search RSS feeds. Extract post title, subreddit, author, URL, matched keywords, intent score, and suggested outreach angle.", "version": "0.1", "x-build-id": "TnT2h6GIHm7oNCVbJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cherubic_snipefish~reddit-buying-intent-lead-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cherubic_snipefish-reddit-buying-intent-lead-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cherubic_snipefish~reddit-buying-intent-lead-monitor/runs": { "post": { "operationId": "runs-sync-cherubic_snipefish-reddit-buying-intent-lead-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cherubic_snipefish~reddit-buying-intent-lead-monitor/run-sync": { "post": { "operationId": "run-sync-cherubic_snipefish-reddit-buying-intent-lead-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "maxItems" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Reddit search queries that indicate buying intent. Use product category plus intent phrase, e.g. \"looking for CRM\".", "default": [ "\"looking for\" CRM", "\"recommend\" email marketing tool", "\"alternative to\" HubSpot" ], "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Optional subreddit filters. Leave empty to search all Reddit.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Maximum leads", "minimum": 1, "maximum": 300, "type": "integer", "description": "Maximum scored posts to return.", "default": 50 }, "minIntentScore": { "title": "Minimum intent score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only output posts with this score or higher.", "default": 40 }, "daysBack": { "title": "Days back", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only include posts updated within this many days.", "default": 14 }, "includeNegativeIntent": { "title": "Include negative/complaint intent", "type": "boolean", "description": "Include posts that look like complaints, churn risk, or competitor pain signals.", "default": true }, "extraIntentTerms": { "title": "Extra intent/category terms", "type": "array", "description": "Optional product, competitor, or pain terms that boost category relevance when found in the post title or content.", "default": [], "items": { "type": "string" } }, "competitorTerms": { "title": "Competitor terms to tag", "type": "array", "description": "Optional competitor or vendor names to detect and return in mentionedCompetitors without changing the intent score.", "default": [], "items": { "type": "string" } }, "enableStatefulDedup": { "title": "Skip previously returned posts", "type": "boolean", "description": "When enabled, store returned Reddit post URLs in the default key-value store and skip them in future runs. Useful for daily alerts.", "default": false }, "dedupeKey": { "title": "Deduplication storage key", "type": "string", "description": "Key-value store record used for seen URLs. Change this to maintain separate alert streams for different campaigns.", "default": "seen-reddit-lead-urls" }, "maxSeenUrls": { "title": "Maximum stored seen URLs", "minimum": 100, "maximum": 50000, "type": "integer", "description": "Maximum number of previously emitted Reddit URLs to retain for stateful deduplication.", "default": 5000 } } }, "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 } } } } } } } } } }