{ "openapi": "3.0.1", "info": { "title": "Amazon Review Unmet Needs Extractor", "description": "Scrape 2-4 star Amazon reviews and identify recurring product gaps, unmet needs, and improvement opportunities. Two analysis modes: AI-powered gap clustering (Groq or OpenAI) or keyword frequency analysis with AFINN sentiment scoring - no AI required.", "version": "0.1", "x-build-id": "gYWK8tbxKsyepyHX8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trovevault~amazon-review-unmet-needs-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trovevault-amazon-review-unmet-needs-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trovevault~amazon-review-unmet-needs-extractor/runs": { "post": { "operationId": "runs-sync-trovevault-amazon-review-unmet-needs-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trovevault~amazon-review-unmet-needs-extractor/run-sync": { "post": { "operationId": "run-sync-trovevault-amazon-review-unmet-needs-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "productUrls" ], "properties": { "productUrls": { "title": "Amazon product URLs", "type": "array", "description": "One or more Amazon product URLs to analyze. Accepts product pages (amazon.com/dp/ASIN), review pages (amazon.com/product-reviews/ASIN), or any URL containing a 10-character ASIN. Works with any Amazon domain (.com, .co.uk, .de, .co.jp, etc.).", "items": { "type": "string" } }, "starRange": { "title": "Star rating filter", "type": "array", "description": "Which star ratings to scrape. Default is 2-4 stars - the range where reviewers describe specific product issues and improvements. 3-star reviews are the sweet spot for unmet needs. Add 1 or 5 if you want the full spectrum.", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5" ] }, "default": [ "2", "3", "4" ] }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 10, "maximum": 500, "type": "integer", "description": "Maximum number of reviews to scrape per product across all selected star ratings. Amazon shows ~10 reviews per page, so 50 reviews requires ~5 pages per star filter. Higher values increase run time and cost.", "default": 50 }, "aiProvider": { "title": "AI provider", "enum": [ "none", "groq", "openai" ], "type": "string", "description": "Choose an AI provider for intelligent gap clustering, or select None for keyword frequency analysis with AFINN sentiment scoring. Without AI, you still get actionable data - top phrases ranked by frequency with positive/negative sentiment labels.", "default": "none" }, "aiApiKey": { "title": "AI API key", "type": "string", "description": "API key for your chosen AI provider. Required when AI provider is Groq or OpenAI. Leave blank for keyword frequency mode. Get a Groq key at console.groq.com (free tier available) or an OpenAI key at platform.openai.com." }, "aiModel": { "title": "AI model (optional)", "type": "string", "description": "Override the default model. Groq default: llama-3.3-70b-versatile. OpenAI default: gpt-4o-mini. Leave blank to use the default model for your chosen provider." }, "datasetId": { "title": "Dataset ID (optional)", "type": "string", "description": "ID of an existing Apify dataset to push results into in addition to the default dataset. Useful for combining results from multiple runs or integrating with downstream actors." }, "runId": { "title": "Run ID (optional)", "type": "string", "description": "ID of a previous actor run to associate this run with. Used for chaining actors in multi-step pipelines." } } }, "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 } } } } } } } } } }