
Automate Yellow Pages data extraction with BrowserAct. Scrape business names, phone numbers, addresses, emails & websites. No coding required. Free trial available.
Automatically extract business contact information and company details from Yellow Pages with our powerful directory scraper tool. Capture business names, phone numbers, addresses, websites, categories, ratings, reviews, and operating hours from any Yellow Pages search results or category listings. Enjoy flexible filtering and output options for comprehensive lead generation and market research—no coding required.
Our Yellow Pages scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing lead generation and business intelligence tasks.
- Customizable Parameters: Adjust total_listings to control extraction depth (e.g., 20, 50, or 100 businesses per search).
- Flexible Search Options: Set max loop items for 10, 25, or more listings from searches or category pages.
- Comprehensive Data Extraction: Captures business profiles including contact details, location data
- Location-Based Search Support: Compatible with city-specific searches, categories, and nationwide directories.
- Automation Integration: Connects with Make.com and n8n to schedule runs and auto-save data to Google Sheets or CRM systems.
With BrowserAct's Yellow Pages Scraper, you can pull a wide range of publicly available business data for lead generation and analysis. Here's a breakdown:
If you want to quickly start experiencing scraping Yellow Pages, simply use our pre-built "Yellow Pages Scraper" template for instant setup and start extracting business leads effortlessly.
Scraping Yellow Pages allows you to systematically collect and analyze public business data from local directories. This process is valuable for gathering specific information that can be used for lead generation, sales prospecting, and market analysis. Here are the primary reasons to scrape Yellow Pages:
Scraping automates the data collection process, enabling you to efficiently gather large volumes of business information from specific locations or categories for structured sales and marketing campaigns.
Yellow Pages Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.
Determine the number of businesses to extract (e.g., 50 businesses and their complete contact information), the business's location, and the business category. Parameters such as total_listings can be adjusted for greater flexibility.
Configure the following input parameters to customize your scraping task:
https://www.yellowpages.com )Note: These parameters give you precise control over your scraping scope—perfect for targeted lead generation campaigns.

Action: Visit the target URL using the parameter: /YP_Link/search?search_terms= /business_category &geo_location_terms= /city_location
This step automatically navigates your browser to the Yellow Pages search results page based on your specified parameters.

Loop Configuration
total_listings businesses are collectedThis creates a loop that systematically processes each business listing on the page, ensuring comprehensive data extraction.
Note: The loop intelligently handles pagination and stops when your target number of listings is reached.

Wait Time: 10 seconds to proceed
This brief pause ensures all dynamic content fully loads before extraction begins, preventing missing data.
Scroll Action: Scroll to Bottom
Purpose: Yellow Pages uses lazy loading—scrolling ensures all business listings on the current page are fully loaded and visible in the DOM.
Note: The page may have multiple scrollable areas; this action focuses on the main content area.

Extraction Scope: Capture the entire page area range
Data Configuration:
Data Field:
no: incremental counter for non-skipped collected listing
Data Points to Extract:
name: name of business:
directory_item_url: each listing main page url
website: website URL of business
city: city name
phone: phone number
address: location address
Filtering Criteria:
skip the listing that doesn't have a website.

Navigation Actions:
This ensures complete coverage of all available listings matching your search criteria.

Output Format: JSON
Alternative Formats: You can also output as a file in CSV, XML, or Markdown (MD) formats
Data Structure: The output maintains the hierarchical relationship between business listings and their associated details, making it easy to import into CRMs, spreadsheets, or databases.
Example Output:
"no": 1,
"name": "ABC Plumbing",
"directory_item_url": "https://www.yellowpages.com/sacramento-ca/mip/abc-plumbing-544109437?lid=1002194118957",
"website": "https://www.abcplumbingandhvac.net",
"city": "Sacramento",
"phone": "(844) 717-6818",
"address": "205 22nd St, Sacramento, CA 95816"
},
Yellow Pages Scraper is designed for anyone needing quick, reliable access to business directory data. It's ideal for a variety of users, including:
No matter your background, if you're looking to scrape Yellow Pages without hassle, this tool is accessible and effective for both individuals and teams.
BrowserAct is now available as a native app on Make.com - simply add it to your scenarios without complex API setup.
Automated Yellow Pages Lead Generation with BrowserAct
An automated business intelligence system that tracks local businesses, extracts contact information, monitors competitor listings, stores data in Google Sheets, and sends alerts for new businesses—all running on autopilot via Make.com.

Need help? Contact us at
Discord: [Discord Community]
E-mail: service@browseract.com