# Yelp Business Scraper (Mobile API) (`rl1987/yelp-api-scraper`) Actor Search Yelp local businesses by location + term and extract the full field set (rating, reviews, price, address, geo, phone, hours, categories, photos) plus optional business detail and reviews β€” via Yelp's own mobile API, no login. - **URL**: https://apify.com/rl1987/yelp-api-scraper.md - **Developed by:** [R.L.](https://apify.com/rl1987) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 business results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 🍽️ β€” Scrape Yelp.com Businesses, Ratings, Reviews, Hours, Photos & Contact Details **Yelp Scraper** β€” Search Yelp local businesses by location + term and extract the full field set (rating, reviews, price, address, geo, phone, hours, categories, photos) plus optional business detail and reviews β€” via Yelp's own mobile API, no login. It reads Yelp's own API directly, so it's **fast, reliable and complete** β€” no flaky HTML parsing, no headless browser. Export to **JSON, CSV, Excel, or an API**. > Search any US city, ZIP or neighborhood by keyword β€” get full business listings with ratings, reviews, price, hours, photos, phone and geo, straight from Yelp's own mobile API. --- ### ✨ Why use this Yelp Scraper? - Human-friendly inputs β€” just a search term and a location string; no raw IDs or coordinates. - Full field coverage per business: rating, review count, price, categories, address, geo, phone, hours, photos and more. - Optional per-business enrichment: complete detail (attributes, hours, health score, owner) and reviews with summary. - Talks to Yelp's own mobile API (not the bot-walled website), so results match the app. --- ### 🎯 What can you do with Yelp data? - Build a local-business directory or lead list for a city or category. - Monitor ratings, review counts and price levels of competitors. - Enrich a CRM with verified phone numbers, addresses and opening hours. - Analyze a market β€” categories, geo distribution and popularity by neighborhood. --- ### πŸ“₯ What data does the Yelp Scraper extract? Each row includes: `id`, `alias`, `name`, `url`, `rating`, `unrounded_rating`, `review_count`, `price_level`, `price`, `categories`, `phone`, `localized_phone`, `address`, `city` …and more. See the full **Data table** below. --- ### πŸš€ How to scrape Yelp.com (3 steps) 1. **Set your input** β€” provide `term` or `location` (see the table below; defaults work out of the box). 2. **Pick options** β€” filters, a `proxyConfiguration`, and a `maxItems` cap. 3. **Run & export** β€” click **Start**, then download the dataset as JSON/CSV/Excel or fetch it via the API. --- ### βš™οΈ Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `term` | string | `coffee` | What to search for, e.g. 'coffee', 'plumbers', 'sushi'. | | `location` | string | `San Francisco, CA` | City, neighborhood, address or ZIP β€” e.g. 'San Francisco, CA'. Yelp resolves it server-side. | | `includeDetails` | boolean | `false` | Fetch the full business page (all attributes, hours, health score, owner info) for each result. | | `includeReviews` | boolean | `false` | Fetch reviews and the per-language review-count summary for each result. | | `maxItems` | integer | `40` | Maximum number of businesses to return (0 = as many as the API paginates). | | `proxyConfiguration` | object | Apify Proxy | Route requests through a proxy (Apify Proxy by default). | #### Example input ```jsonc { "term": "coffee", "location": "San Francisco, CA", "includeDetails": false, "includeReviews": false, "maxItems": 40, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` *** ### πŸ“€ Output Each result is a JSON object like this: ```jsonc { "id": "24ym9XJUS2i9JlSFEJeZ2w", "alias": "the-coffee-movement-san-francisco", "name": "The Coffee Movement", "url": "https://www.yelp.com/biz/the-coffee-movement-san-francisco", "rating": 4.5, "unrounded_rating": 4.6, "review_count": 750, "price_level": "$$", "price": 2, "categories": [ { "name": "Coffee & Tea", "alias": "coffee", "is_restaurant": false } ], "phone": "4152373375", "localized_phone": "(415) 237-3375", "address": "1030 Washington St", "city": "San Francisco", "state": "CA", "zip": "94108", "country": "US", "neighborhoods": [ "Nob Hill" ], "latitude": 37.794825, "longitude": -122.4103212, "timezone": "America/Los_Angeles", "is_closed": false, "photo_count": 1885, "photos": [ { "id": "7xnjaGpC1Gn8eXC7lvPU3w", "url": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/l.jpg", "url_original": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/o.jpg", "caption": "Cortado (~$4)", "width": 2800, "height": 3733, "type": "business" }, { "id": "phipK7re5PrtBOZXi5jEHw", "url": "https://s3-media0.fl.yelpcdn.com/bphoto/phipK7re5PrtBOZXi5jEHw/l.jpg", "url_original": "https://s3-media0.fl.yelpcdn.com/bphoto/phipK7re5PrtBOZXi5jEHw/o.jpg", "caption": "Iced Vanilla Rosemary Latte (~$6)", "width": 4284, "height": 5712, "type": "business" }, "…+1 more" ], "primary_photo": "https://s3-media0.fl.yelpcdn.com/bphoto/7xnjaGpC1Gn8eXC7lvPU3w/o.jpg", "hours": [ "Mon-Fri 7:00 am - 2:00 pm", "Sat-Sun 7:00 am - 4:00 pm" ], "attributes": [ { "id": "RestaurantsDelivery", "label": "Offers Delivery", "value": "No" }, { "id": "RestaurantsTakeOut", "label": "Offers Takeout", "value": "Yes" }, "…+14 more" ], "health_score": "Pass", "menu_url": "https://www.thecoffeemovement.com/menu", "website_url": "http://thecoffeemovement.com", "reviews": [ { "id": "DioPsvaDWXqGt4Xac01O_Q", "rating": 5, "text": "Coffee Movement is a spot for folks who truly appreciate the simplicity of a great espresso.\n\nI've been to Coffee Movement a couple of times and have thoroug…", "language": "en", "time_created": null, "time_modified": 1781837480, "feedback": { "…": "3 fields" }, "user": null }, { "id": "wMbh9da-2wW40vqejvkRsw", "rating": 4, "text": "The Coffee Movement is a small specialty coffee shop that focuses on doing a few things extremely well. We walked into a minimalist, compact space with limit…", "language": "en", "time_created": null, "time_modified": 1781993163, "feedback": { "…": "3 fields" }, "user": null }, "…+8 more" ], "review_summary": { "language_review_counts": { "en": 747, "zh": 2, "de": 1 }, "not_recommended_review_count": 46 } } ``` > Fields marked *(detail)* β€” `attributes`, `health_score`, `health_score_detail`, `from_this_business`, `reviews`, `review_summary`, `menu_url`, `website_url` β€” are only populated when the per-item detail option is enabled. *** ### 🧾 Data table | Field | Type | Description | | --- | --- | --- | | `id` | text | Business ID | | `alias` | text | Alias | | `name` | text | Name | | `url` | link | Yelp URL | | `rating` | number | Rating | | `unrounded_rating` | number | Unrounded rating | | `review_count` | number | Review count | | `price_level` | text | Price level | | `price` | number | Price (1-4) | | `categories` | array | Categories | | `phone` | text | Phone | | `localized_phone` | text | Localized phone | | `address` | text | Address | | `city` | text | City | | `state` | text | State | | `zip` | text | ZIP | | `country` | text | Country | | `neighborhoods` | array | Neighborhoods | | `latitude` | number | Latitude | | `longitude` | number | Longitude | | `timezone` | text | Timezone | | `is_closed` | text | Is closed | | `photo_count` | number | Photo count | | `photos` | array | Photos | | `primary_photo` | link | Primary photo | | `hours` | array | Hours (localized) | | `attributes` | array | Attributes *(detail)* | | `health_score` | text | Health score *(detail)* | | `menu_url` | text | Menu URL *(detail)* | | `website_url` | link | Website URL *(detail)* | | `reviews` | array | Reviews *(detail)* | | `review_summary` | object | Review summary *(detail)* | *** ### πŸ’° Pricing β€” pay per result This actor uses **pay-per-event** pricing: you pay only for the rows it actually delivers, layered by what you enable. | Event | When it's charged | Price | | --- | --- | --- | | **Business result** | Per business returned from search (basic data β€” name, rating, address, categories, photos, etc.) | **$1.00 per 1,000 rows** | | **Business details** | Per business, only when `includeDetails` is on and full detail was fetched | **+$1.00 per 1,000 rows** | | **Business reviews** | Per business, only when `includeReviews` is on and its reviews were fetched β€” billed per company, not per review | **+$1.00 per 1,000 rows** | Enabling `includeDetails` and `includeReviews` together costs **$3.00 per 1,000 businesses**. Leave both off and you pay only the base **$1.00 per 1,000**. You're never charged for an enrichment call that failed to return data. *** ### πŸ”Œ Use the Yelp Scraper via API Run it programmatically with the [Apify API](https://docs.apify.com/api/v2): ```bash curl -X POST "https://api.apify.com/v2/acts/yelp-api-scraper/runs?token=YOUR_TOKEN" \ -H 'Content-Type: application/json' \ -d '{ "term": "coffee", "location": "San Francisco, CA", "includeDetails": false, "includeReviews": false, "maxItems": 40, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' ``` Or with the Apify CLI: `apify call yelp-api-scraper -i input.json -o`. *** ### ❓ FAQ **Do I need a Yelp account or API key?** No. The scraper uses guest access to Yelp's mobile API β€” no login, no Fusion API key, no quota. **What do I type for the location?** Anything a person would: a city ('San Francisco, CA'), a ZIP code, a neighborhood or an address. Yelp resolves it server-side. **Why is a proxy recommended?** Yelp's edge blocks datacenter IPs. Use Apify Proxy (default) or supply your own residential/ISP proxy so requests come from a clean IP. **Can I get full reviews and hours?** Yes β€” enable 'Include full business detail' and 'Include reviews' to fetch complete hours, attributes, health score, owner info and reviews per business. *** ### πŸ› οΈ How it works The actor impersonates Yelp's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping β€” just clean, structured data. *** ### πŸ“Œ Good to know - Scrape only public local business listing data and respect Yelp.com's Terms of Service and robots policy. - For personal data, comply with GDPR/CCPA and applicable law β€” you are the data controller. - Fields can be `null` when Yelp doesn't expose them for a given record. *** ### ⭐ Found this useful? Give the **Yelp Scraper** a star on Apify and check out my other `apify-*-api-scraper` actors. # Actor input Schema ## `term` (type: `string`): What to search for, e.g. 'coffee', 'plumbers', 'sushi'. ## `location` (type: `string`): City, neighborhood, address or ZIP β€” e.g. 'San Francisco, CA'. Yelp resolves it server-side. ## `includeDetails` (type: `boolean`): Fetch the full business page (all attributes, hours, health score, owner info) for each result. ## `includeReviews` (type: `boolean`): Fetch reviews and the per-language review-count summary for each result. ## `maxItems` (type: `integer`): Maximum number of businesses to return (0 = as many as the API paginates). ## `proxyConfiguration` (type: `object`): Route requests through a proxy (Apify Proxy by default). ## Actor input object example ```json { "term": "coffee", "location": "San Francisco, CA", "includeDetails": false, "includeReviews": false, "maxItems": 40, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "term": "coffee", "location": "San Francisco, CA", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("rl1987/yelp-api-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "term": "coffee", "location": "San Francisco, CA", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("rl1987/yelp-api-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "term": "coffee", "location": "San Francisco, CA", "proxyConfiguration": { "useApifyProxy": true } }' | apify call rl1987/yelp-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rl1987/yelp-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Business Scraper (Mobile API)", "description": "Search Yelp local businesses by location + term and extract the full field set (rating, reviews, price, address, geo, phone, hours, categories, photos) plus optional business detail and reviews β€” via Yelp's own mobile API, no login.", "version": "0.0", "x-build-id": "8bqjR6Neiy9kHL5TQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rl1987~yelp-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rl1987-yelp-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rl1987~yelp-api-scraper/runs": { "post": { "operationId": "runs-sync-rl1987-yelp-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rl1987~yelp-api-scraper/run-sync": { "post": { "operationId": "run-sync-rl1987-yelp-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "term": { "title": "Search term", "type": "string", "description": "What to search for, e.g. 'coffee', 'plumbers', 'sushi'." }, "location": { "title": "Location", "type": "string", "description": "City, neighborhood, address or ZIP β€” e.g. 'San Francisco, CA'. Yelp resolves it server-side." }, "includeDetails": { "title": "Include full business detail", "type": "boolean", "description": "Fetch the full business page (all attributes, hours, health score, owner info) for each result.", "default": false }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Fetch reviews and the per-language review-count summary for each result.", "default": false }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of businesses to return (0 = as many as the API paginates).", "default": 40 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through a proxy (Apify Proxy by default).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```