{ "openapi": "3.0.1", "info": { "title": "Community Pain Point Mining - Reddit Threads To Product Bets", "description": "Turn Reddit discussions into product research: urgent pain points, workarounds, buyer segments, and wording from real users. Pay per report.", "version": "0.0", "x-build-id": "mrrkhN6jGbHeeUWNO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sprightly_blackberry~community-pain-point-mining/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sprightly_blackberry-community-pain-point-mining", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sprightly_blackberry~community-pain-point-mining/runs": { "post": { "operationId": "runs-sync-sprightly_blackberry-community-pain-point-mining", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sprightly_blackberry~community-pain-point-mining/run-sync": { "post": { "operationId": "run-sync-sprightly_blackberry-community-pain-point-mining", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searches" ], "properties": { "searches": { "title": "Search phrases", "type": "array", "description": "Problems or topics to search for.", "items": { "type": "string" } }, "maxRecords": { "title": "Items to analyze", "minimum": 10, "maximum": 1000, "type": "integer", "description": "How many posts/comments to pull.", "default": 150 }, "sort": { "title": "Sort order", "enum": [ "relevance", "top", "new", "hot", "comments" ], "type": "string", "description": "How to sort matched discussions.", "default": "relevance" }, "time_filter": { "title": "Time window", "enum": [ "all", "year", "month", "week", "day" ], "type": "string", "description": "How recent the discussions must be.", "default": "year" }, "outputLanguage": { "title": "Report language", "enum": [ "English", "Chinese", "Spanish", "German", "French", "Portuguese", "Japanese" ], "type": "string", "description": "Language used for the generated report.", "default": "English" }, "sampleData": { "title": "Sample data (free, no data fetched)", "type": "boolean", "description": "ON by default so the first run is instant and free. Returns a sample report that shows the exact output shape without calling any paid data source. Turn it OFF and fill in your own target to run the real analysis.", "default": true }, "llmApiKey": { "title": "Bring your own model key (optional)", "type": "string", "description": "Optional. Leave empty to use the service's built-in analysis model. Supply an OpenAI-compatible API key to run the analysis against your own account." }, "llmApiBase": { "title": "Model API base URL", "type": "string", "description": "OpenAI-compatible base URL. Leave empty to use the service default.", "default": "" }, "llmModel": { "title": "Model name", "type": "string", "description": "Model identifier to send to the endpoint above.", "default": "" } } }, "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 } } } } } } } } } }