# Yelp Scraper — Business Reviews, Ratings & Contact Info \[Bulk] (`knotless_cadence/yelp-business-scraper`) Actor Scrape Yelp businesses: name, address, phone, rating, reviews, hours, photos. Bulk by keyword+city. Need a custom local-business leads pipeline? $100 pilot in 48h. Reply by Friday for priority slot. spinov001@gmail.com · t.me/scraping\_ai - **URL**: https://apify.com/knotless\_cadence/yelp-business-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Lead generation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Yelp Business Scraper — Extract Reviews, Ratings & Business Data Need local business data for market research or lead generation? This scraper extracts business listings from Yelp — names, ratings, reviews, addresses, phone numbers, hours, and categories. ### Features - ✅ **Complete business data** — name, rating, review count, address, phone, website - ✅ **Category extraction** — business categories and price range - ✅ **Operating hours** — full weekly schedule - ✅ **Review data** — ratings and review counts - ✅ **Rate limiting** — respectful crawling with random delays - ✅ **User-Agent rotation** — 8 browser signatures to avoid blocks ### Output Data ```json { "name": "Joe's Pizza", "rating": 4.5, "reviewCount": 342, "address": "7 Carmine St, New York, NY 10014", "phone": "(212) 366-1182", "website": "https://joespizzanyc.com", "categories": ["Pizza", "Italian"], "priceRange": "$$", "hours": [ {"day": "Monday", "open": "10:00 AM", "close": "2:00 AM"} ], "scrapedAt": "2026-03-19T10:00:00.000Z" } ```` ### Use Cases - **Lead generation** — build lists of local businesses by category - **Market research** — analyze competition in specific areas - **Price comparison** — compare price ranges across businesses - **Review analysis** — aggregate ratings and sentiment - **Location intelligence** — map business density by area ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `urls` | Array | `[]` | Yelp business page URLs to scrape | | `maxResults` | Number | `50` | Maximum businesses to extract | *** *Part of 60+ data tools by knotless\_cadence on Apify. See also: [Google Maps Scraper](https://apify.com/knotless_cadence/google-maps-scraper-pro), [Trustpilot Review Scraper](https://apify.com/knotless_cadence/trustpilot-review-scraper)* ### More Tools - [60+ free scrapers](https://github.com/spinov001-art/awesome-web-scraping-2026) - [Market Research Reports](https://payhip.com/aimarketintel) # Actor input Schema ## `searchQueries` (type: `array`): List of search terms to find businesses on Yelp (e.g., 'pizza', 'plumber', 'hair salon'). Used together with 'locations' to perform searches. ## `locations` (type: `array`): List of locations to search in (e.g., 'New York, NY', 'San Francisco, CA'). Each location is combined with each search query. ## `businessUrls` (type: `array`): Direct URLs to Yelp business pages (e.g., 'https://www.yelp.com/biz/example-business'). Use this to scrape specific businesses without searching. ## `maxResults` (type: `integer`): Maximum number of business results to extract per search query + location combination. Yelp shows 10 results per page. ## `includeReviews` (type: `boolean`): Whether to scrape customer reviews for each business. Disabling this speeds up the scraping significantly. ## `maxReviewsPerBusiness` (type: `integer`): Maximum number of reviews to extract per business. Yelp shows 10 reviews per page. Only used when 'Include Reviews' is enabled. ## Actor input object example ```json { "searchQueries": [ "pizza", "coffee shops", "dentist" ], "locations": [ "New York, NY", "Los Angeles, CA" ], "businessUrls": [], "maxResults": 50, "includeReviews": true, "maxReviewsPerBusiness": 20 } ``` # 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("knotless_cadence/yelp-business-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("knotless_cadence/yelp-business-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 knotless_cadence/yelp-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/yelp-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Scraper — Business Reviews, Ratings & Contact Info [Bulk]", "description": "Scrape Yelp businesses: name, address, phone, rating, reviews, hours, photos. Bulk by keyword+city. Need a custom local-business leads pipeline? $100 pilot in 48h. Reply by Friday for priority slot. spinov001@gmail.com · t.me/scraping_ai", "version": "1.0", "x-build-id": "kyy8hmoCfBhCrVy6c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~yelp-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-yelp-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~yelp-business-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-yelp-business-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/knotless_cadence~yelp-business-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-yelp-business-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": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "List of search terms to find businesses on Yelp (e.g., 'pizza', 'plumber', 'hair salon'). Used together with 'locations' to perform searches.", "default": [ "restaurants" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "List of locations to search in (e.g., 'New York, NY', 'San Francisco, CA'). Each location is combined with each search query.", "default": [ "New York, NY" ], "items": { "type": "string" } }, "businessUrls": { "title": "Business URLs", "type": "array", "description": "Direct URLs to Yelp business pages (e.g., 'https://www.yelp.com/biz/example-business'). Use this to scrape specific businesses without searching.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max Search Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of business results to extract per search query + location combination. Yelp shows 10 results per page.", "default": 50 }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Whether to scrape customer reviews for each business. Disabling this speeds up the scraping significantly.", "default": true }, "maxReviewsPerBusiness": { "title": "Max Reviews Per Business", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of reviews to extract per business. Yelp shows 10 reviews per page. Only used when 'Include Reviews' is enabled.", "default": 20 } } }, "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 } } } } } } } } } } ```