# Yelp Scraper - Business Leads, Reviews, Ratings, No API Key (`renzomacar/yelp-scraper`) Actor - **URL**: https://apify.com/renzomacar/yelp-scraper.md - **Developed by:** [Renzo Madueno](https://apify.com/renzomacar) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Scraper - Business Leads, Reviews, Ratings (No API Key) Extract **Yelp business data at scale** — names, star ratings, review counts, prices, categories, full addresses, phone numbers, websites, GPS coordinates, photos, and (optionally) the actual review text — just by giving a **search term** and a **location**. No Yelp Fusion API key. No developer account. No rate-limit headaches. You type "coffee shops" + "Austin, TX" and get a clean, export-ready dataset of local businesses. Most Yelp scrapers and the official Yelp Fusion API force you to register an app, manage an API key, and live inside a 5,000-call/day cap that returns a maximum of 50 results per search and **no review text**. This **Yelp scraper needs none of that**. It reads the same business data Yelp serves to a normal browser, so you get the full picture without bringing your own key. ### Why use this Yelp scraper - **No API key required** — start scraping in seconds, nothing to register. - **Built for lead generation** — phone, address, website and category for every business, perfect for cold outreach lists and local sales prospecting. - **Ratings & reviews** — average rating, total review count, and optional recent review text (author, rating, date, body). - **Reliable extraction** — it parses Yelp's own structured business JSON first, with embedded-JSON and rendered-DOM fallbacks, so results stay populated even when Yelp tweaks its layout. - **Residential proxies built in** — Yelp blocks datacenter traffic with PerimeterX; this actor routes through residential IPs so pages load like a real visitor. - **Clean, flat output** — one row per business (and one row per review), ready for CSV, Excel, Google Sheets, JSON, or your CRM/database. ### What data you get Per business: | Field | Type | Description | |-------|------|-------------| | `businessName` | string | Business name as listed on Yelp | | `alias` | string | Yelp business slug (stable id) | | `yelpUrl` | string | Direct link to the Yelp business page | | `rating` | number | Average star rating (1.0–5.0) | | `reviewCount` | integer | Total number of reviews | | `priceLevel` | string | Price tier (`$`, `$$`, `$$$`, `$$$$`) | | `categories` | array | Category tags (e.g. `["Coffee & Tea", "Cafes"]`) | | `address` | string | Street address when shown on the result card | | `city` / `state` / `zipCode` | string | Location parts when available | | `neighborhood` | string | Neighborhood when available | | `phone` | string | Business phone number (sponsored results) | | `website` | string | Business website when listed | | `latitude` / `longitude` | number | GPS coordinates when available | | `imageUrl` | string | Cover photo URL | | `isAdvertised` | boolean | `true` for paid/sponsored listings | | `searchTerm` / `location` | string | The query that returned this row | | `scrapedAt` | string | ISO 8601 collection timestamp | Per review (when `includeReviews` is on), `dataType: "review"`: | Field | Description | |-------|-------------| | `businessName`, `alias`, `yelpUrl` | Which business the review belongs to | | `reviewAuthor` | Reviewer name | | `reviewRating` | Star rating of the review | | `reviewDate` | Date published | | `reviewText` | Review body | ### Input | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `searchTerm` | string | Yes | — | What to search, e.g. `coffee shops`, `dentists`, `plumbers` | | `location` | string | Yes | — | City + state or ZIP, e.g. `Austin, TX` or `90210` | | `searchTerms` | array | No | — | Extra terms to run in the same location | | `maxResults` | integer | No | 50 | Max businesses per term (Yelp paginates 10/page) | | `includeReviews` | boolean | No | false | Also scrape recent reviews per business | | `maxReviewsPerBusiness` | integer | No | 5 | Reviews to pull per business when reviews are on | | `proxyCountry` | string | No | US | Residential proxy country for the location you scrape | #### Example input ```json { "searchTerm": "coffee shops", "location": "Austin, TX", "maxResults": 50, "includeReviews": false } ```` #### Example output ```json { "businessName": "Houndstooth Coffee", "alias": "houndstooth-coffee-austin", "yelpUrl": "https://www.yelp.com/biz/houndstooth-coffee-austin", "rating": 4.4, "reviewCount": 612, "priceLevel": "$$", "categories": ["Coffee & Tea", "Cafes"], "address": "401 Congress Ave, Austin, TX 78701", "city": "Austin", "state": "TX", "zipCode": "78701", "phone": "(512) 394-6051", "website": "houndstoothcoffee.com", "latitude": 30.2669, "longitude": -97.7428, "imageUrl": "https://s3-media0.fl.yelpcdn.com/...", "isAdvertised": false, "searchTerm": "coffee shops", "location": "Austin, TX", "scrapedAt": "2026-06-12T00:00:00.000Z" } ``` ### Use cases - **Local lead generation** — build prospect lists of dentists, lawyers, contractors, gyms, salons, restaurants, or any niche in any city, with phone + website ready for outreach. - **Sales prospecting & cold email/SMS** — export business contact details straight into your CRM. - **Competitive intelligence** — track competitors' ratings and review velocity over time. - **Market research & gap analysis** — count businesses per category to size a local market. - **Local SEO & reputation** — study top-rated competitors and review sentiment. - **Restaurant / retail analytics** — price-tier and rating distributions for reports. ### How it works The actor opens Yelp's search results in a real headless Chrome through Apify **residential proxies**, then captures the structured business data Yelp itself loads — first from its internal search responses, then from JSON embedded in the page, and finally from the rendered cards as a fallback. Because Yelp gates everything behind PerimeterX bot protection, residential IPs are required; the actor handles that automatically. It paginates 10 results per page until it reaches `maxResults`, deduplicates by business, and (optionally) visits each business page to pull recent reviews from its structured review data. ### FAQ **Do I need a Yelp API key or Yelp developer account?** No. That is the whole point. Unlike the Yelp Fusion API and key-based scrapers, this actor works with zero credentials. **Is this better than the Yelp Fusion API?** For most lead-gen and research jobs, yes: no key, no 50-results-per-search cap, no 5,000-calls/day quota, and you can also get review text — which Fusion does not give you in full. **Can I scrape Yelp reviews?** Yes. Turn on `includeReviews` to also collect recent reviews (author, rating, date, text) for every business found. **Can I search multiple categories at once?** Yes. Put extra terms in `searchTerms` and they all run against the same `location`. **Which countries / Yelp domains are supported?** US Yelp (`yelp.com`) by default. Set `proxyCountry` to match your target market for best results. **Why do I need residential proxies?** Yelp blocks datacenter IP addresses with PerimeterX. Residential proxies make requests look like ordinary visitors. The actor uses them automatically. **What if a search returns nothing?** Genuinely empty searches are reported as warnings (not failures) in the run's key-value store under `WARNINGS`, so empty results are explainable. Hard anti-bot blocks are recorded under `FAILURES`. **What format is the output?** A standard Apify dataset — export to CSV, Excel, JSON, or Google Sheets, or pull it via the API. ### Pricing This actor uses **pay-per-event** pricing: a small fee per run start plus a small fee per business returned. You only pay for the data you actually get. Apify platform usage (compute + residential proxy) is billed separately by Apify. ### Disclaimer Scrape responsibly and only collect publicly available data. You are responsible for how you use the data and for complying with Yelp's terms and applicable laws (including data-protection regulations) in your jurisdiction. # Actor input Schema ## `searchTerm` (type: `string`): What to search for, e.g. 'coffee shops', 'dentists', 'plumbers', 'restaurants'. ## `location` (type: `string`): City + state or ZIP, e.g. 'Austin, TX', 'Brooklyn, NY', or '90210'. ## `searchTerms` (type: `array`): Run several searches in the same location in one go. Each term is paginated independently. ## `maxResults` (type: `integer`): Maximum businesses to extract per search term. Yelp paginates 10 per page. ## `includeReviews` (type: `boolean`): Also scrape recent reviews (author, rating, date, text) for each business. Slower and uses more compute. ## `maxReviewsPerBusiness` (type: `integer`): How many recent reviews to pull per business when 'Include reviews' is on. ## `proxyCountry` (type: `string`): Residential proxy country code (Yelp blocks datacenter IPs). Use the country of the location you are scraping. ## Actor input object example ```json { "searchTerm": "coffee shops", "location": "Austin, TX", "maxResults": 50, "includeReviews": false, "maxReviewsPerBusiness": 5, "proxyCountry": "US" } ``` # Actor output Schema ## `results` (type: `string`): All result items as JSON. # 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 = { "searchTerm": "coffee shops", "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("renzomacar/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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchTerm": "coffee shops", "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("renzomacar/yelp-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerm": "coffee shops", "location": "Austin, TX" }' | apify call renzomacar/yelp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=renzomacar/yelp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Scraper - Business Leads, Reviews, Ratings, No API Key", "version": "0.1", "x-build-id": "Bf1WtRmliWC0sgNjg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/renzomacar~yelp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-renzomacar-yelp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/renzomacar~yelp-scraper/runs": { "post": { "operationId": "runs-sync-renzomacar-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/renzomacar~yelp-scraper/run-sync": { "post": { "operationId": "run-sync-renzomacar-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": [ "searchTerm", "location" ], "properties": { "searchTerm": { "title": "Search term", "type": "string", "description": "What to search for, e.g. 'coffee shops', 'dentists', 'plumbers', 'restaurants'." }, "location": { "title": "Location", "type": "string", "description": "City + state or ZIP, e.g. 'Austin, TX', 'Brooklyn, NY', or '90210'." }, "searchTerms": { "title": "Extra search terms (optional)", "type": "array", "description": "Run several searches in the same location in one go. Each term is paginated independently.", "items": { "type": "string" } }, "maxResults": { "title": "Max results per term", "minimum": 1, "maximum": 240, "type": "integer", "description": "Maximum businesses to extract per search term. Yelp paginates 10 per page.", "default": 50 }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Also scrape recent reviews (author, rating, date, text) for each business. Slower and uses more compute.", "default": false }, "maxReviewsPerBusiness": { "title": "Max reviews per business", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many recent reviews to pull per business when 'Include reviews' is on.", "default": 5 }, "proxyCountry": { "title": "Proxy country", "type": "string", "description": "Residential proxy country code (Yelp blocks datacenter IPs). Use the country of the location you are scraping.", "default": "US" } } }, "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 } } } } } } } } } } ```