{ "openapi": "3.0.1", "info": { "title": "Review Intelligence Analyzer - Google Reviews Sales Signals", "description": "Analyze a business's Google Maps reviews with an LLM and return structured intelligence a sales team can act on: overall sentiment, complaint themes, praise themes, owner-response tone, red flags and opportunity signals. Bring your own LLM key (Gemini, Groq, OpenRouter). Pay-per-result.", "version": "1.0", "x-build-id": "bVgKCD8swpH5UPwff" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santamaria-automations~review-intelligence-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santamaria-automations-review-intelligence-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santamaria-automations~review-intelligence-analyzer/runs": { "post": { "operationId": "runs-sync-santamaria-automations-review-intelligence-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santamaria-automations~review-intelligence-analyzer/run-sync": { "post": { "operationId": "run-sync-santamaria-automations-review-intelligence-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "places": { "title": "Places", "type": "array", "description": "Array of Google Maps place records. Each element is a full place object as emitted by the google-maps-scraper actor with `user_reviews[]` populated (run gmaps with `includeReviews: true`).", "items": { "type": "object" } }, "companies": { "title": "Companies (with company_id passthrough)", "type": "array", "description": "Alternative to `places`. Each entry carries a company_id (echoed on the output row) plus the place record.", "items": { "type": "object", "required": [ "place" ], "properties": { "company_id": { "title": "Company ID", "type": "string", "description": "Your internal identifier, echoed on the output row so you can join intelligence back to your source data." }, "place": { "title": "Place", "type": "object", "description": "The Google Maps place record including `user_reviews[]`." } } } }, "maxReviewsSampled": { "title": "Max Reviews Sampled per Place", "minimum": 5, "maximum": 60, "type": "integer", "description": "Cap on the number of reviews sent to the LLM per place. Higher = sharper signals but higher per-row token cost. The sampler blends most-recent, highest-rated and lowest-rated reviews so both praise and complaint angles are represented.", "default": 30 }, "llmProvider": { "title": "LLM Provider", "enum": [ "gemini", "groq", "openrouter" ], "type": "string", "description": "Primary AI provider. Gemini Flash is fastest and has a generous free tier.", "default": "gemini" }, "fallbackProvider": { "title": "Fallback LLM Provider", "enum": [ "gemini", "groq", "openrouter" ], "type": "string", "description": "Second-level fallback if the primary provider fails (rate limit, auth error, etc)." }, "fallback2Provider": { "title": "Third-Level Fallback", "enum": [ "gemini", "groq", "openrouter" ], "type": "string", "description": "Third-level fallback if both primary and first fallback fail." }, "llmModel": { "title": "LLM Model (optional override)", "type": "string", "description": "Override the default model. Defaults: Gemini -> gemini-2.0-flash, Groq -> llama-3.3-70b-versatile, OpenRouter -> google/gemini-2.0-flash-001. If your OpenRouter key does not have access to the default paid Gemini model, try a free model like meta-llama/llama-3.1-8b-instruct." }, "geminiApiKey": { "title": "Gemini API Key (recommended)", "type": "string", "description": "Google Gemini Flash. Best quality/cost ratio, generous free tier. Get a key at https://aistudio.google.com/app/apikey" }, "groqApiKey": { "title": "Groq API Key (optional)", "type": "string", "description": "Groq. Ultra-fast inference. Get a key at https://console.groq.com/keys" }, "openrouterApiKey": { "title": "OpenRouter API Key (optional)", "type": "string", "description": "OpenRouter. Access to 100+ models. Get a key at https://openrouter.ai/keys" }, "outputLanguage": { "title": "Output Language", "type": "string", "description": "Language for the theme labels and sample quotes translated back. Uses standard ISO 639-1 codes: en, de, fr, ja, es, pt, it, ko, zh-CN, ar, nl, pl, sv, da, fi, no, cs, hu, ro, el, tr, th, vi, id, and more. Set to `auto` to match the business's country/language.", "default": "en" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Not used by this actor (LLM calls only). Accepted for schema consistency with sibling enrichment actors.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } }