# Yelp Search Scraper: Bulk Business Data & Lead Generator (`devil_port369-owner/yelp`) Actor Fast, no-login Yelp scraper to export business details, ratings, contact info, and photos. Supports bulk search terms and multiple locations without needing proxies or cookies. - **URL**: https://apify.com/devil\_port369-owner/yelp.md - **Developed by:** [DataFusionX](https://apify.com/devil_port369-owner) (community) - **Categories:** Lead generation, AI, E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## ๐Ÿš€ Yelp Search & Lead Intelligence Scraper **The most efficient, "no-fuss" Yelp data extractor on Apify.** Generate high-intent B2B leads, monitor local competition, and track market trends in bulkโ€”**without** the headache of managing proxies, rotating cookies, or dealing with login blocks. --- ### ๐Ÿ’Ž Why This Scraper Beats the Rest? Most Yelp scrapers are brittle and expensive. This Actor is engineered for **resilience and scale**: * **Zero Infrastructure Overhead:** No Proxy APIs or login cookies required. It just works. * **Deep Intelligence:** Extracts data points most scrapers miss, such as **Response Times**, **Local Quote Volume**, and **Verified Licenses**. * **Ad-Aware:** Distinguishes between organic results and paid ads to help you analyze competitor spend. * **Lead-Gen Optimized:** Identifies businesses with active "Call to Action" buttons (e.g., *Get Pricing*). --- ### ๐Ÿ“Š Commercial Use Cases | **For Sales Teams** | **For SEO & Marketing** | **For Market Analysts** | | --- | --- | --- | | Extract businesses with fast response times to target high-activity prospects. | Monitor local search rankings and review scores across multiple cities. | Analyze price ranges and service categories to find market gaps. | --- ### ๐Ÿ› ๏ธ Data Points Extracted | Category | Data Points | | --- | --- | | **Business Info** | Name, Yelp URL, Address, Neighborhood, Phone, Categories | | **Reputation** | Rating, Review Count, Snippet Text (Latest Reviews) | | **Lead Quality** | **Response Time**, **Quote Request Volume**, CTA Buttons | | **Trust Signals** | **Verified License Data**, Yelp Guaranteed Status | | **Media & Ads** | Primary Photo, Portfolio Count, Ad Campaign IDs, Ad Placement | --- ### ๐Ÿš€ Getting Started: Input Parameters This Actor is designed to be "plug-and-play." You only need to provide search terms and locations. | Field | Type | Description | Default | | --- | --- | --- | --- | | `search_terms` | Array | Keywords (e.g., `["Roofing", "HVAC"]`) | **Required** | | `location` | Array | Areas (e.g., `["Austin, TX", "10001"]`) | **Required** | | `max_results` | Integer | How many results to pull per query. | `30` | | `sort_by` | String | Options: `rating`, `review_count`, `best_match`. | `rating` | --- ### ๐Ÿ“ฆ Output Sample (JSON) Our output is clean, flattened, and ready for your CRM or a BI tool. ```json { "biz_id": "KV5IMy5PwasnwcyNrjIKSQ", "name": "AAD Mobile Autowash", "alias": "aad-mobile-autowash-brooklyn", "yelp_url": "https://www.yelp.com/biz/aad-mobile-autowash-brooklyn", "address": "2020 Kings Hwy", "neighborhoods": [ "Midwood" ], "service_area": null, "categories": [ "Car Wash", "Auto Detailing" ], "price_range": null, "rating": 0, "review_count": null, "phone": "", "primary_photo_url": "https://s3-media0.fl.yelpcdn.com/bphoto/pUoQsmu_BX8ItKtIJfluAQ/ls.jpg", "all_photos_url": "https://www.yelp.com/biz_photos/KV5IMy5PwasnwcyNrjIKSQ", "portfolio_photo_count": 0, "snippet_text": "AADautowash is Brooklynโ€™s premium mobile auto detailing service, bringing topโ€‘tier cleaning and restoration directly to your home, job, or parkingโ€ฆ", "snippet_type": "specialty", "highlights": [], "tags": [ "Car wash" ], "yelp_guaranteed": false, "verified_license": null, "parent_business": null, "cta_buttons": [ "Get pricing" ], "response_time": "7 hrs", "local_quote_requests": "29 locals recently requested a quote", "is_ad": true, "ad_slot": 0, "ad_campaign_id": "220325067", "ad_placement": "vertical_0", "search_term": "Car wash", "search_location": "New York" } ```` *** ### ๐Ÿ’ก Pro-Tips for Success - **Zip Codes vs. Cities:** Use Zip Codes for hyper-local scraping and higher accuracy in dense areas like NYC or London. - **Lead Scoring:** Use the `local_quote_requests` field to prioritize businesses that are currently trending in their local area. - **Competitor Ad Research:** Filter by `is_ad: true` to see which businesses are aggressively bidding on your target keywords. *** ### โš–๏ธ Integrity & Ethics This scraper follows Yelp's public data structure. Please ensure your use of the data complies with local regulations (GDPR/CCPA) and Yelp's Terms of Service. This tool is intended for ethical data analysis and lead generation. *** **Need a custom feature or higher volume?** - Let us know # Actor input Schema ## `search_terms` (type: `array`): List of business categories or keywords to search (e.g. Restaurants, Car Wash). ## `location` (type: `array`): List of cities or addresses to search in (e.g. New York, NY). ## `max_results` (type: `integer`): Maximum number of businesses to scrape per (search\_term ร— location) pair. ## `sort_by` (type: `string`): How to sort Yelp results. ## Actor input object example ```json { "search_terms": [ "Restaurants" ], "location": [ "New York, NY" ], "max_results": 10, "sort_by": "rating" } ``` # 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 = { "search_terms": [ "Restaurants" ], "location": [ "New York, NY" ] }; // Run the Actor and wait for it to finish const run = await client.actor("devil_port369-owner/yelp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "search_terms": ["Restaurants"], "location": ["New York, NY"], } # Run the Actor and wait for it to finish run = client.actor("devil_port369-owner/yelp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "search_terms": [ "Restaurants" ], "location": [ "New York, NY" ] }' | apify call devil_port369-owner/yelp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devil_port369-owner/yelp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Search Scraper: Bulk Business Data & Lead Generator", "description": "Fast, no-login Yelp scraper to export business details, ratings, contact info, and photos. Supports bulk search terms and multiple locations without needing proxies or cookies.", "version": "0.0", "x-build-id": "tzNUnYpz4C27oJTuZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devil_port369-owner~yelp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devil_port369-owner-yelp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devil_port369-owner~yelp/runs": { "post": { "operationId": "runs-sync-devil_port369-owner-yelp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devil_port369-owner~yelp/run-sync": { "post": { "operationId": "run-sync-devil_port369-owner-yelp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search_terms", "location" ], "properties": { "search_terms": { "title": "Search Terms", "type": "array", "description": "List of business categories or keywords to search (e.g. Restaurants, Car Wash).", "items": { "type": "string" } }, "location": { "title": "Locations", "type": "array", "description": "List of cities or addresses to search in (e.g. New York, NY).", "items": { "type": "string" } }, "max_results": { "title": "Max Results (0 == unlimited)", "type": "integer", "description": "Maximum number of businesses to scrape per (search_term ร— location) pair.", "default": 10 }, "sort_by": { "title": "Sort By", "enum": [ "rating", "review_count", "recommended" ], "type": "string", "description": "How to sort Yelp results.", "default": "rating" } } }, "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 } } } } } } } } } } ```