# Yelp Reviews Scraper (`moving_beacon-owner1/yelp-reviews-scraper`) Actor Scrape Yelp business details and full reviews directly from Yelp’s internal GraphQL API no third-party scraping services required. Extract business info, ratings, hours, phone numbers, and complete review data including author details, photos, and metadata from Yelp business URLs or search results. - **URL**: https://apify.com/moving\_beacon-owner1/yelp-reviews-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 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 Reviews Scraper Apify Actor that scrapes Yelp business details and reviews . No third-party scraping API needed. ### What it does For every Yelp business URL (or every business returned by a search), the actor pushes: - **`_type: business`** — name, address, phone, hours, aggregate rating, review count, business ID. - **`_type: review`** — review ID, author, rating, date, full text, plus author location/review-count and review photos. Reviews are fetched directly from Yelp's GraphQL `/gql/batch` endpoint (the same one the page uses), which means full review text and metadata — no truncation, no scraping of card HTML. ### Input | Field | Type | Default | Notes | |---|---|---|---| | `startUrls` | array of `{url}` | — | Yelp business URLs like `https://www.yelp.com/biz/`. | | `searchTerm` | string | — | Alternative input; runs a Yelp search instead. | | `searchLocation` | string | — | Required if `searchTerm` is set. Free-form, e.g. `Toronto, ON`. | | `maxSearchPages` | int | 2 | How many search-result pages to walk. | | `maxReviewsPerBusiness` | int | 50 | Caps reviews fetched per business. | | `includeBusinessInfo` | bool | true | Push a `_type=business` record alongside reviews. | | `reviewSortBy` | enum | `DATE_DESC` | One of `DATE_DESC`, `DATE_ASC`, `RATING_DESC`, `RATING_ASC`, `ELITES`, `RELEVANCE_DESC`. | | `emitSearchResults` | bool | false | When using `searchTerm`, also push the raw search-result cards. | | `proxyConfiguration` | object | Apify proxy on | **Strongly recommended.** Yelp blocks datacenter IPs. | You must provide either `startUrls` or both `searchTerm` and `searchLocation`. ### Output examples ```jsonc // _type=business { "_type": "business", "url": "https://www.yelp.com/biz/gary-danko-san-francisco", "name": "Gary Danko", "business_id": "...", "address": "800 N Point St, San Francisco, CA, 94109", "phone": "+14157492060", "rating": "4.5", "review_count": 6203, "open_hours": { "mon": "5:00 PM - 10:00 PM", ... } } // _type=review { "_type": "review", "source": "yelp", "review_id": "0c0ASru2cWdP3XkaPBaJpQ", "author": "Faith B.", "rating": 5.0, "date": "2024-02-22T21:16:42Z", "text": "I'm literally still salivating thinking about that pasta...", "url": "https://www.yelp.com/biz/...", "extra": { "author_location": "Seattle, WA", "author_review_count": 34, "business_id": "...", "business_name": "Gary Danko", "photos": ["https://s3-media0.fl.yelpcdn.com/bphoto/.../348s.jpg", ...] } } ```` # Actor input Schema ## `startUrls` (type: `array`): List of Yelp business pages to scrape. Each item should be a URL like https://www.yelp.com/biz/gary-danko-san-francisco. ## `searchTerms` (type: `array`): Optional. Array of {term, location} objects. Each query is run through Yelp search and discovered businesses are added to the scrape queue. ## `maxSearchPages` (type: `integer`): How many pages of Yelp search results to walk per search term (10 results/page). ## `maxReviews` (type: `integer`): Cap on reviews fetched per business. Set 0 to push only a business summary row (no reviews). ## `headless` (type: `boolean`): Run Chrome under xvfb. Leave on for cloud runs. ## `pageLoadTimeout` (type: `integer`): Maximum time to wait for a page to load. ## `proxyConfiguration` (type: `object`): Apify Proxy or your own proxies. Residential proxies recommended for high-volume scraping. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.yelp.com/biz/gary-danko-san-francisco" } ], "searchTerms": [ { "term": "ramen", "location": "San Francisco, CA" } ], "maxSearchPages": 2, "maxReviews": 30, "headless": true, "pageLoadTimeout": 60, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ { "url": "https://www.yelp.com/biz/gary-danko-san-francisco" } ], "searchTerms": [ { "term": "ramen", "location": "San Francisco, CA" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/yelp-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 = { "startUrls": [{ "url": "https://www.yelp.com/biz/gary-danko-san-francisco" }], "searchTerms": [{ "term": "ramen", "location": "San Francisco, CA", }], } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/yelp-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 '{ "startUrls": [ { "url": "https://www.yelp.com/biz/gary-danko-san-francisco" } ], "searchTerms": [ { "term": "ramen", "location": "San Francisco, CA" } ] }' | apify call moving_beacon-owner1/yelp-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/yelp-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Reviews Scraper", "description": "Scrape Yelp business details and full reviews directly from Yelp’s internal GraphQL API no third-party scraping services required. Extract business info, ratings, hours, phone numbers, and complete review data including author details, photos, and metadata from Yelp business URLs or search results.", "version": "0.0", "x-build-id": "LesKGMvzTrfjhjhRs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~yelp-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-yelp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~yelp-reviews-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-yelp-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~yelp-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-yelp-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Yelp business URLs", "type": "array", "description": "List of Yelp business pages to scrape. Each item should be a URL like https://www.yelp.com/biz/gary-danko-san-francisco.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchTerms": { "title": "Search queries", "type": "array", "description": "Optional. Array of {term, location} objects. Each query is run through Yelp search and discovered businesses are added to the scrape queue.", "items": { "type": "object", "properties": { "term": { "type": "string", "title": "Search term", "description": "Optional. Array of {term, location} objects. Each query is run through Yelp search and discovered businesses are added to the scrape queue." }, "location": { "type": "string", "title": "Location", "description": "Optional. Array of {term, location} objects. Each query is run through Yelp search and discovered businesses are added to the scrape queue." } }, "required": [ "term" ] }, "default": [] }, "maxSearchPages": { "title": "Max search result pages per query", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many pages of Yelp search results to walk per search term (10 results/page).", "default": 2 }, "maxReviews": { "title": "Max reviews per business", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Cap on reviews fetched per business. Set 0 to push only a business summary row (no reviews).", "default": 30 }, "headless": { "title": "Headless mode", "type": "boolean", "description": "Run Chrome under xvfb. Leave on for cloud runs.", "default": true }, "pageLoadTimeout": { "title": "Page load timeout (seconds)", "minimum": 10, "maximum": 300, "type": "integer", "description": "Maximum time to wait for a page to load.", "default": 60 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy or your own proxies. Residential proxies recommended for high-volume scraping.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```