# Yelp Business Scraper (`vulnv/yelp-scraper`) Actor Extract structured business data from Yelp including ratings, reviews, categories, contact details, and opening hours. No login required. - **URL**: https://apify.com/vulnv/yelp-scraper.md - **Developed by:** [VulnV](https://apify.com/vulnv) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Yelp Business Scraper Extract structured business data from Yelp — ratings, review counts, categories, price range, contact details, opening hours, photos, amenities, and more. Provide one or more Yelp business URLs and receive clean JSON ready for analysis, lead generation, or market research. No login required. ### ✨ Features - **Full business profiles**: Name, address, phone, website, categories, price range, and rating. - **Reviews & ratings**: Review counts and review content where available. - **Opening hours & amenities**: Structured hours, popular items, and amenity details. - **Bulk input**: Submit multiple business URLs in a single run. - **Structured JSON**: Clean, predictable output that drops straight into your stack. - **No login required**: Just provide public Yelp business URLs. ### 📥 Input Provide a list of Yelp business URLs. ```json { "urls": [ "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "https://www.yelp.com/biz/lfm-construction-and-plumbing-san-fransisco-5" ] } ```` #### Input parameters | Field | Type | Required | Description | |-------|------|----------|-------------| | `urls` | array of strings | Yes | Yelp business page URLs to scrape (`https://www.yelp.com/biz/...`). | > 💡 Want to find businesses by **category and location** instead of by URL? Use our [Yelp Search Scraper](https://apify.com/vulnv/yelp-search-scraper). ### 📤 Output Each item in the dataset corresponds to a single Yelp business. Example (truncated): ```json { "url": "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "name": "Jack in the Box", "address": "1 Main St", "city": "San Francisco", "state": "CA", "zip_code": "94103", "country": "US", "phone": "+1-415-555-0100", "rating": 3.5, "review_count": 412, "price_range": "$", "categories": ["Fast Food", "Burgers"], "hours": [], "amenities": [], "latitude": 37.77, "longitude": -122.41, "website": "https://www.jackinthebox.com", "input_url": "https://www.yelp.com/biz/jack-in-the-box-san-francisco" } ``` Each record is tagged with `input_url` so you can trace it back to the URL you supplied. ### 💡 Use cases - **Lead generation**: Build targeted lists of local businesses with contact details. - **Market research**: Track ratings, pricing, and category coverage in a region. - **Competitive analysis**: Monitor reviews and positioning across competitors. ### ⚙️ How it works Provide your Yelp business URLs, run the Actor, and collect structured business data from the dataset. Each input URL is resolved to a single record — no login, cookies, or browser automation required. ### 🛠️ Our Other Scrapers Explore our full suite of scraping tools to power your data needs: - **[Amazon Product Scraper](https://apify.com/vulnv/amazon-product-scraper)** — Extract product details, pricing, reviews, and more from Amazon. - **[Crunchbase Company Scraper](https://apify.com/vulnv/crunchbase-scraper)** — Pull company firmographics, funding, and investor data from Crunchbase. - **[Reddit Scraper](https://apify.com/vulnv/reddit-scraper)** — Collect posts, comments, and user data from Reddit communities. - **[Email Validator](https://apify.com/vulnv/email-validator)** — Verify and validate email addresses to keep your lists clean. 📬 **Need help or have a feature request?** Contact us at or visit our [Apify profile](https://apify.com/vulnv). Happy scraping! 🚀 # Actor input Schema ## `urls` (type: `array`): Yelp business page URLs to scrape (the part that looks like https://www.yelp.com/biz/...). ## Actor input object example ```json { "urls": [ "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "https://www.yelp.com/biz/lfm-construction-and-plumbing-san-fransisco-5" ] } ``` # 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 = { "urls": [ "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "https://www.yelp.com/biz/lfm-construction-and-plumbing-san-fransisco-5" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vulnv/yelp-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 = { "urls": [ "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "https://www.yelp.com/biz/lfm-construction-and-plumbing-san-fransisco-5", ] } # Run the Actor and wait for it to finish run = client.actor("vulnv/yelp-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 '{ "urls": [ "https://www.yelp.com/biz/jack-in-the-box-san-francisco", "https://www.yelp.com/biz/lfm-construction-and-plumbing-san-fransisco-5" ] }' | apify call vulnv/yelp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vulnv/yelp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Business Scraper", "description": "Extract structured business data from Yelp including ratings, reviews, categories, contact details, and opening hours. No login required.", "version": "1.0", "x-build-id": "50io5YTYboIAc57Qz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vulnv~yelp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vulnv-yelp-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/vulnv~yelp-scraper/runs": { "post": { "operationId": "runs-sync-vulnv-yelp-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/vulnv~yelp-scraper/run-sync": { "post": { "operationId": "run-sync-vulnv-yelp-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", "required": [ "urls" ], "properties": { "urls": { "title": "Yelp Business URLs", "type": "array", "description": "Yelp business page URLs to scrape (the part that looks like https://www.yelp.com/biz/...).", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```