# Product Review Aggregator (`dash_authority/product-review-aggregator`) Actor Scrape and aggregate product reviews from Amazon, Walmart, and Target into a unified format for brand monitoring and competitive analysis. - **URL**: https://apify.com/dash\_authority/product-review-aggregator.md - **Developed by:** [Dash Authority](https://apify.com/dash_authority) (community) - **Categories:** E-commerce, Developer tools, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Product Review Aggregator Scrape and aggregate product reviews from **Amazon**, **Walmart**, and **Target** into a unified JSON format. Built with Playwright for robust handling of JS-heavy, anti-bot-protected e-commerce sites. ### Use Cases - **Brand Monitoring** — Track what customers say about your products across multiple retailers from a single data source. - **Competitive Analysis** — Compare review sentiment and ratings for competitor products on the same platforms. - **Product Research** — Aggregate feedback to identify common complaints, feature requests, and satisfaction trends. - **Market Intelligence** — Feed unified review data into dashboards, NLP pipelines, or alerting systems. ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `platform` | Select | ✅ | — | `amazon`, `walmart`, or `target` | | `productUrl` | String | — | — | Direct product page URL (takes priority over search) | | `searchQuery` | String | — | — | Search term to find the product | | `maxReviews` | Integer | — | `50` | Max reviews to scrape (1–200) | | `minRating` | Select | — | `0` | Filter by minimum star rating (0 = all) | | `sortBy` | Select | — | `most_relevant` | Sort order for reviews | | `proxyConfiguration` | Proxy | — | — | Apify proxy settings (recommended) | > **Note:** Either `productUrl` or `searchQuery` must be provided. ### Output Every review is emitted as a single dataset item with a **unidentical schema** regardless of source platform: ```json { "productTitle": "Apple AirPods Pro (2nd Generation)", "productUrl": "https://www.amazon.com/dp/B0D1XD1ZV3", "platform": "amazon", "reviewerName": "Jane D.", "rating": 5, "reviewTitle": "Best earbuds I've ever owned", "reviewBody": "The noise cancellation is incredible and the sound quality blows me away every time...", "reviewDate": "2025-12-15", "verified": true, "helpful": 42, "images": [ "https://images-na.ssl-images-amazon.com/images/I/abc123.jpg" ] } ```` #### Aggregation Metadata The actor also pushes a summary record (keyed with `_metadata: true`) containing: ```json { "_metadata": true, "productTitle": "Apple AirPods Pro (2nd Generation)", "platform": "amazon", "totalReviews": 47, "averageRating": 4.6, "ratingDistribution": { "1": 2, "2": 1, "3": 3, "4": 8, "5": 33 } } ``` ### Running Locally ```bash ## Install dependencies pip install -r requirements.txt playwright install chromium ## Set Apify token (or use local Actor context) export APIFY_TOKEN=your_token_here ## Run python -m src.main ``` ### License MIT # Actor input Schema ## `platform` (type: `string`): Select the e-commerce platform to scrape reviews from. ## `productUrl` (type: `string`): Direct URL to the product page. If provided, this takes priority over the search query. ## `searchQuery` (type: `string`): Search term to find the product on the platform. Used when productUrl is not provided. ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape (1-200). ## `minRating` (type: `integer`): Filter reviews by minimum star rating. Set to 0 to include all ratings. ## `sortBy` (type: `string`): How to sort the reviews. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for avoiding blocks. ## Actor input object example ```json { "maxReviews": 50, "minRating": 0, "sortBy": "most_relevant" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("dash_authority/product-review-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("dash_authority/product-review-aggregator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call dash_authority/product-review-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dash_authority/product-review-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Review Aggregator", "description": "Scrape and aggregate product reviews from Amazon, Walmart, and Target into a unified format for brand monitoring and competitive analysis.", "version": "1.0", "x-build-id": "wU7dZ200u5OaV4Wsf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dash_authority~product-review-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dash_authority-product-review-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dash_authority~product-review-aggregator/runs": { "post": { "operationId": "runs-sync-dash_authority-product-review-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dash_authority~product-review-aggregator/run-sync": { "post": { "operationId": "run-sync-dash_authority-product-review-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "platform" ], "properties": { "platform": { "title": "Platform", "enum": [ "amazon", "walmart", "target" ], "type": "string", "description": "Select the e-commerce platform to scrape reviews from." }, "productUrl": { "title": "Product URL", "type": "string", "description": "Direct URL to the product page. If provided, this takes priority over the search query." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find the product on the platform. Used when productUrl is not provided." }, "maxReviews": { "title": "Max Reviews", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of reviews to scrape (1-200).", "default": 50 }, "minRating": { "title": "Minimum Rating Filter", "minimum": 0, "maximum": 5, "type": "integer", "description": "Filter reviews by minimum star rating. Set to 0 to include all ratings.", "default": 0 }, "sortBy": { "title": "Sort By", "enum": [ "most_recent", "most_relevant", "highest_rating", "lowest_rating" ], "type": "string", "description": "How to sort the reviews.", "default": "most_relevant" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for avoiding blocks." } } }, "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 } } } } } } } } } } ```