# Yellow Pages Business Scraper (`brilliant_gum/yellowpages-premium-scraper`) Actor Extract 40+ fields per business from YellowPages.com — phone, email (found on business website), full address, hours, ratings, reviews, and a lead quality score. Batch search, filters, direct URLs. Perfect for B2B lead generation. - **URL**: https://apify.com/brilliant\_gum/yellowpages-premium-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.025 / full detail page scraped 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 ## Yellow Pages Business Scraper ![Yellow Pages Business Scraper](https://i.imgur.com/lRgaqsG.png) Turn any Yellow Pages search into a ready-to-use lead list — complete with phone numbers, emails, addresses, hours, ratings, and lead quality scores. Built for sales teams, marketers, and anyone serious about B2B prospecting. --- ### What You Get Point it at any business category and location. The actor searches YellowPages.com, visits each business page, and then goes one step further — it visits the business's own website to find contact emails that aren't on YP at all. Every record comes with a lead score so you know exactly who to call first. **No login. No API key. Just results.** --- ### Features #### 📋 40+ Fields Per Business Name, phone, full address (street / city / state / ZIP), website, emails, star rating, review count, business hours, open/closed status, categories, description, years in business, photos, payment methods, services offered, and more. #### 📧 Email Extraction Visits each business website to find contact emails — the kind that never appear on the YP listing itself. The highest-value data for outreach. #### 🏆 Lead Quality Score Every record gets a score from 0 to 100 and a grade (A–F) based on the richness of data: phone, email, website, rating, reviews, hours, and more. Filter your list instantly — go after A-grade leads first. #### 🔍 4 Ways to Input - **Single search** — one query + one city - **Batch search** — multiple queries and cities in one run - **Direct URLs** — paste specific YP business page URLs - **Filters** — minimum rating, open now, sort order #### 🛡️ Built to Last US residential proxies, browser fingerprint rotation, smart delays, and automatic retry on blocks — so your runs complete reliably without getting cut off. --- ### Example Input #### Simple Search ```json { "searchQuery": "plumbers", "location": "New York, NY", "maxResults": 100, "scrapeDetails": true, "scrapeEmails": true } ```` #### Batch Search — Multiple Cities ```json { "searchQueries": [ { "query": "dentists", "location": "Chicago, IL" }, { "query": "electricians", "location": "Houston, TX" }, { "query": "HVAC", "location": "Phoenix, AZ" } ], "maxResults": 200, "scrapeDetails": true, "scrapeEmails": true } ``` #### With Filters ```json { "searchQuery": "Italian restaurants", "location": "Miami, FL", "maxResults": 50, "minRating": 4, "openNow": true, "sortBy": "best_match" } ``` #### Direct Business URLs ```json { "directUrls": [ "https://www.yellowpages.com/new-york-ny/mip/acme-plumbing-12345678", "https://www.yellowpages.com/chicago-il/mip/best-hvac-co-87654321" ], "scrapeDetails": true, "scrapeEmails": true } ``` *** ### Example Output ```json { "name": "Acme Plumbing & Heating", "phone": "(212) 555-0100", "phones": ["(212) 555-0100", "(800) 555-0199"], "emails": ["contact@acmeplumbing.com"], "website": "https://acmeplumbing.com", "address": { "street": "123 Main St", "city": "New York", "state": "NY", "zip": "10001", "full": "123 Main St, New York, NY 10001" }, "rating": 4.5, "reviewCount": 87, "categories": ["Plumbers", "Water Heater Repair", "Drain Cleaning"], "primaryCategory": "Plumbers", "yearsInBusiness": 22, "description": "Family-owned plumbing company serving NYC since 2002.", "hours": ["Mo-Fr 07:00-19:00", "Sa 08:00-14:00"], "isOpenNow": true, "payments": ["Cash", "Credit Cards", "Checks"], "services": ["Emergency Plumbing", "Water Heater Installation", "Drain Cleaning"], "leadScore": { "score": 88, "grade": "A", "factors": ["has_phone", "has_email", "has_website", "rating_4.5+", "50+_reviews", "has_hours", "has_description", "established_business"] }, "scrapedAt": "2026-05-05T12:00:00.000Z" } ``` *** ### Output Fields | Field | Description | |-------|-------------| | `name` | Business name | | `phone` | Primary phone number | | `phones` | All phone numbers found | | `emails` | Contact emails (from YP listing + business website) | | `website` | Business website URL | | `address` | Full address — street, city, state, ZIP, full string | | `rating` | Star rating (1.0–5.0) | | `reviewCount` | Total number of reviews | | `categories` | All business categories | | `primaryCategory` | Main category | | `yearsInBusiness` | Years listed on Yellow Pages | | `description` | Business description | | `hours` | Business hours per day | | `isOpenNow` | Whether business is currently open | | `payments` | Accepted payment methods | | `services` | Services offered | | `serviceArea` | Geographic service area | | `licenses` | License and certification info | | `photos` | Photo URLs | | `reviews` | Recent reviews — author, date, title, text | | `leadScore` | `{ score: 0–100, grade: "A"–"F", factors: [...] }` | | `scrapedAt` | Timestamp of scrape | *** ### Pricing | Event | Price | |-------|-------| | Actor start | **$0.01** | | Business found in search | **$0.005** | | Full detail page scraped | **$0.025** | **Cost examples:** - 100 businesses (search + details + emails): **~$3.01** - 1,000 businesses (search + details + emails): **~$30.01** - Search only, no detail pages: **~$5.01 per 1,000** *** ### Use Cases 🔍 **B2B Lead Generation** — Build targeted prospect lists for any niche and city. Get emails ready for outreach without manual research. 📞 **Sales Prospecting** — Find businesses with phone + email + high lead score. Focus your team on the warmest leads first. 📊 **Market Research** — Map the competitive landscape in any city. See who's rated highly, how long they've been in business, and what categories they serve. 🏪 **Local Business Intelligence** — Understand the local market before entering it — density, ratings, hours, service types. 🔗 **CRM Enrichment** — Have a list of business names? Feed them in as direct URLs and enrich your CRM with full contact data automatically. *** ### Tips - **Start with `scrapeDetails: true` and `scrapeEmails: true`** — this gives you the richest data including emails found on business websites. - **Use `minRating: 4`** to focus only on well-rated businesses — great for quality-first outreach. - **Batch search** lets you cover multiple cities and categories in a single run — no need to run the actor separately for each. - **Lead score grade A or B** means the business has phone + email + website + strong rating — your highest-priority targets. # Actor input Schema ## `searchQuery` (type: `string`): What to search for (e.g. 'plumbers', 'dentists', 'Italian restaurants') ## `location` (type: `string`): City, state, or ZIP code (e.g. 'New York, NY', 'Chicago, IL', '90210') ## `searchQueries` (type: `array`): Run multiple searches at once. Each item is either an object {query, location} or a string 'query|location'. Results are merged into one dataset. ## `directUrls` (type: `array`): Scrape specific Yellow Pages business pages directly (skip search) ## `maxResults` (type: `integer`): Maximum number of businesses to return per search query ## `minRating` (type: `integer`): Only return businesses with this star rating or higher (1–5). Leave empty for all. ## `openNow` (type: `boolean`): Only return businesses that are currently open ## `sortBy` (type: `string`): How to sort search results from Yellow Pages ## `scrapeDetails` (type: `boolean`): Visit each business page to get full data: hours, description, photos, all phones, reviews. Recommended ON. ## `scrapeEmails` (type: `boolean`): Visit each business's website to find contact emails and social media links ## `minDelay` (type: `integer`): Minimum wait between page requests. Lower = faster but higher block risk. ## `maxDelay` (type: `integer`): Maximum wait between requests for natural timing variation. ## `emailTimeout` (type: `integer`): Max time to wait for a business website to load when extracting emails. ## `rotateEvery` (type: `integer`): Create a fresh browser context after processing this many businesses (anti-ban). ## Actor input object example ```json { "searchQuery": "plumbers", "location": "New York, NY", "searchQueries": [ { "query": "plumbers", "location": "New York, NY" } ], "directUrls": [], "maxResults": 5, "openNow": false, "sortBy": "default", "scrapeDetails": true, "scrapeEmails": true, "minDelay": 2000, "maxDelay": 5000, "emailTimeout": 18000, "rotateEvery": 15 } ``` # 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 = { "searchQueries": [ { "query": "plumbers", "location": "New York, NY" } ], "directUrls": [], "maxResults": 5, "scrapeDetails": false, "scrapeEmails": false }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/yellowpages-premium-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 = { "searchQueries": [{ "query": "plumbers", "location": "New York, NY", }], "directUrls": [], "maxResults": 5, "scrapeDetails": False, "scrapeEmails": False, } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/yellowpages-premium-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 '{ "searchQueries": [ { "query": "plumbers", "location": "New York, NY" } ], "directUrls": [], "maxResults": 5, "scrapeDetails": false, "scrapeEmails": false }' | apify call brilliant_gum/yellowpages-premium-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/yellowpages-premium-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yellow Pages Business Scraper", "description": "Extract 40+ fields per business from YellowPages.com — phone, email (found on business website), full address, hours, ratings, reviews, and a lead quality score. Batch search, filters, direct URLs. Perfect for B2B lead generation.", "version": "1.0", "x-build-id": "3tH0tzSCScViOmHvn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~yellowpages-premium-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-yellowpages-premium-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~yellowpages-premium-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-yellowpages-premium-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~yellowpages-premium-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-yellowpages-premium-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "What to search for (e.g. 'plumbers', 'dentists', 'Italian restaurants')" }, "location": { "title": "Location", "type": "string", "description": "City, state, or ZIP code (e.g. 'New York, NY', 'Chicago, IL', '90210')" }, "searchQueries": { "title": "Batch Search Queries", "type": "array", "description": "Run multiple searches at once. Each item is either an object {query, location} or a string 'query|location'. Results are merged into one dataset." }, "directUrls": { "title": "Direct Yellow Pages URLs", "type": "array", "description": "Scrape specific Yellow Pages business pages directly (skip search)", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 3000, "type": "integer", "description": "Maximum number of businesses to return per search query", "default": 5 }, "minRating": { "title": "Minimum Star Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only return businesses with this star rating or higher (1–5). Leave empty for all." }, "openNow": { "title": "Open Now Only", "type": "boolean", "description": "Only return businesses that are currently open", "default": false }, "sortBy": { "title": "Sort Results By", "enum": [ "default", "distance", "best_match" ], "type": "string", "description": "How to sort search results from Yellow Pages", "default": "default" }, "scrapeDetails": { "title": "Scrape Business Detail Pages", "type": "boolean", "description": "Visit each business page to get full data: hours, description, photos, all phones, reviews. Recommended ON.", "default": true }, "scrapeEmails": { "title": "Extract Emails from Websites", "type": "boolean", "description": "Visit each business's website to find contact emails and social media links", "default": true }, "minDelay": { "title": "Min Delay Between Requests (ms)", "minimum": 500, "type": "integer", "description": "Minimum wait between page requests. Lower = faster but higher block risk.", "default": 2000 }, "maxDelay": { "title": "Max Delay Between Requests (ms)", "minimum": 1000, "type": "integer", "description": "Maximum wait between requests for natural timing variation.", "default": 5000 }, "emailTimeout": { "title": "Email Extraction Timeout (ms)", "minimum": 5000, "type": "integer", "description": "Max time to wait for a business website to load when extracting emails.", "default": 18000 }, "rotateEvery": { "title": "Rotate Browser Context Every N Businesses", "minimum": 1, "type": "integer", "description": "Create a fresh browser context after processing this many businesses (anti-ban).", "default": 15 } } }, "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 } } } } } } } } } } ```