# Wirecutter Product Recommendations (`sync-network/wirecutter-reviews-scraper`) Actor Extract product picks, prices, and reviews from Wirecutter (New York Times). Scrape The Best roundup articles with top picks, runner-ups, budget picks, and affiliate links across 3,700+ reviews. - **URL**: https://apify.com/sync-network/wirecutter-reviews-scraper.md - **Developed by:** [Alam](https://apify.com/sync-network) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Wirecutter Product Recommendations Scraper Extract product recommendations, picks, prices, and reviews from **Wirecutter** (by The New York Times). ### What It Does Wirecutter publishes expert product reviews and "Best [X]" roundup articles across thousands of categories — from electronics and kitchen gear to home improvement and outdoor equipment. This actor extracts the structured product data from every review, including: - **Product picks** — Top pick, Also great, Budget pick, Upgrade pick - **Product names** and descriptive titles - **Prices and stores** — where to buy, with pricing - **Affiliate links** — direct purchase links - **Product images** — high-resolution photos - **Review metadata** — publish dates, categories, authors ### Use Cases - **Price monitoring** — Track which products Wirecutter recommends and at what prices - **Market research** — See which brands and products get endorsed across categories - **Affiliate marketing** — Identify trending recommended products in your niche - **Competitive analysis** — Monitor which products appear in "Best [X]" lists - **Product discovery** — Find top-rated products across 3,700+ reviews ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | **maxReviews** | integer | 100 | Maximum reviews to scrape (0 = all) | | **sectionId** | integer | — | Filter by section (use fetchAllSections to get IDs) | | **searchQuery** | string | — | Search reviews by keyword (e.g. "headphones") | | **startPage** | integer | 1 | Start from a specific page (for resuming) | | **includeEmpty** | boolean | false | Include reviews without product picks | | **fetchAllSections** | boolean | false | Return section list instead of reviews | ### Output Each result is a review article containing its recommended products: ```json { "id": 9765, "title": "The Best Steak Knife Set", "url": "https://www.nytimes.com/wirecutter/reviews/best-steak-knife-set/", "datePublished": "2026-05-08T12:53:47", "dateModified": "2026-05-08T12:59:08", "productCount": 3, "products": [ { "pickLabel": "Top pick", "productName": "Material The Table Knives", "pickTitle": "The best steak knife set", "description": "Modern, attractive, and incredibly sharp...", "imageUrl": "https://...", "affiliateUrl": "https://...", "prices": [{"price": "$110", "store": "Material Kitchen"}] } ] } ```` ### Tips - Start with `fetchAllSections: true` to discover available section IDs and article counts - The Money section (ID 237) has the most reviews (670+), followed by Home (647) and Electronics (537) - Set `maxReviews: 0` to scrape all 3,700+ reviews (takes ~30 minutes) - Results are sorted by most recently updated first ### Sections 35 categories available including: Money, Home, Electronics, Kitchen, Health & Fitness, Style, Gifts, Outdoors, Sleep, Baby & Kid, Beauty, Appliances, Travel, Office, Pets, Software & Apps, Games & Hobbies, Cars, and more. # Actor input Schema ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape. Set to 0 for all available. ## `sectionId` (type: `integer`): Filter by Wirecutter section ID. Leave empty to scrape all sections. Use fetchAllSections=true to get available section IDs. ## `searchQuery` (type: `string`): Search for specific review topics (e.g. 'headphones', 'laptop', 'mattress'). ## `startPage` (type: `integer`): Page number to start from (for resuming large scrapes). ## `includeEmpty` (type: `boolean`): Include reviews that have no product picks (blog posts, guides). Usually you want this off. ## `fetchAllSections` (type: `boolean`): Instead of scraping reviews, just return the list of all Wirecutter sections with their IDs and article counts. Useful to find the sectionId to filter by. ## `includeFullText` (type: `boolean`): Include the complete review article text in the output. Increases output size significantly. Default is off — only excerpt is included. ## Actor input object example ```json { "maxReviews": 100, "startPage": 1, "includeEmpty": false, "fetchAllSections": false, "includeFullText": false } ``` # 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("sync-network/wirecutter-reviews-scraper").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("sync-network/wirecutter-reviews-scraper").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 sync-network/wirecutter-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sync-network/wirecutter-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wirecutter Product Recommendations", "description": "Extract product picks, prices, and reviews from Wirecutter (New York Times). Scrape The Best roundup articles with top picks, runner-ups, budget picks, and affiliate links across 3,700+ reviews.", "version": "0.0", "x-build-id": "Zlageyk4Y0LGjCrTK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sync-network~wirecutter-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sync-network-wirecutter-reviews-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sync-network~wirecutter-reviews-scraper/runs": { "post": { "operationId": "runs-sync-sync-network-wirecutter-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sync-network~wirecutter-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-sync-network-wirecutter-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxReviews": { "title": "Maximum reviews", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum number of reviews to scrape. Set to 0 for all available.", "default": 100 }, "sectionId": { "title": "Section ID", "minimum": 1, "type": "integer", "description": "Filter by Wirecutter section ID. Leave empty to scrape all sections. Use fetchAllSections=true to get available section IDs." }, "searchQuery": { "title": "Search query", "type": "string", "description": "Search for specific review topics (e.g. 'headphones', 'laptop', 'mattress')." }, "startPage": { "title": "Start page", "minimum": 1, "type": "integer", "description": "Page number to start from (for resuming large scrapes).", "default": 1 }, "includeEmpty": { "title": "Include empty reviews", "type": "boolean", "description": "Include reviews that have no product picks (blog posts, guides). Usually you want this off.", "default": false }, "fetchAllSections": { "title": "Fetch sections only", "type": "boolean", "description": "Instead of scraping reviews, just return the list of all Wirecutter sections with their IDs and article counts. Useful to find the sectionId to filter by.", "default": false }, "includeFullText": { "title": "Include full review text", "type": "boolean", "description": "Include the complete review article text in the output. Increases output size significantly. Default is off — only excerpt is included.", "default": false } } }, "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 } } } } } } } } } } ```