Yellow Page Scraper
Overview
Extract detailed business information from YellowPages.com, including business names, addresses, phone numbers, websites, ratings, reviews, and additional relevant data. This tool provides a comprehensive overview of each business, enabling users to gather critical insights and make informed decisions based on accurate and up-to-date information from YellowPages.com.
How to Use
- Log in to your ScrapeHero Cloud account.
- Navigate to the Yellow Page Business Listings App in the Scrapehero App store.
- Click on "Create New Project".
- Go to yellowpages.com and provide details such as business and the location. For example - Restaurants in Boston, MA.
- Copy the search result URL obtained from yellow pages.
- Specify the number of the data records you want to gather from the project run.
- Click "Gather Data" to begin the data extraction process.
- Once complete, download your data in your preferred format (CSV, JSON, or Excel) or connect any of the available integration to get seemless access to the scraped data.
Data Schema
The Yellow Page Business Listings App provides the following data fields:
| Field Name | Description | Data Type |
|---|---|---|
| rank | business listing rank | TextField() |
| business_name | name of the business | TextField() |
| address | business address | TextField() |
| phone | contact number of business | TextField() |
| average_rating | aggregate business rating count | TextField() |
| total_reviews | total number of reviews | TextField() |
| tripadvisor_rating | tripadvisor from rating | TextField() |
| tripadvisor_review_count | total review count from tripadvisor | TextField() |
| bbb_rating | rating count from BBB | TextField() |
| result_type | shows result is organic or paid | TextField() |
| website | website url of the business | TextField() |
| image_url | business image url | TextField() |
| category | business category | TextField() |
| snippet | brief customer review | TextField() |
| url | url of business page | TextField() |
| listing_url | listing page url | TextField |
| input | input url provided by the user | TextField() |
Sample Data Record
Here's an example of a typical data record returned by this scraper:
This scraper uses 1 data credit per data record. Learn more about data credits.
{
"address": "550 Tremont St, Boston, MA 02116",
"average_rating": "4.5",
"bbb_rating": "A+",
"business_name": "B & G Oysters",
"category": "Restaurants | Seafood Restaurants | American Restaurants",
"image_url": "https://i1.ypcdn.com/blob/b107b5ec93c26add1de348c16be9f51797205567_600x600_crop.jpg?506b9f1",
"input": "https://www.yellowpages.com/boston-ma/restaurants",
"listing_url": "https://www.yellowpages.com/boston-ma/restaurants",
"phone": "(617) 423-0550",
"rank": "8",
"result_type": "Organic",
"snippet": "This restaurant is run very well.Great food ,great service,great ambiance\"",
"total_reviews": "2",
"tripadvisor_rating": "4.5",
"tripadvisor_review_count": "722",
"url": "https://www.yellowpages.com/boston-ma/mip/b-g-oysters-2650359",
"website": "http://www.bandgoysters.com"
}
Features
- Comprehensive Data Extraction from yellow pages business listings.
- Real-time scraping of up-to-date information.
- Bulk scraping capabilities for multiple listing url for different locations.
- Data export in multiple formats (CSV, JSON, Excel).
Learn More: For detailed information on using the Yellow Page Business Listings and its different use cases, read our guide: How to Scrape Yellow Page Business Listings
Related Scrapers
- TripAdvisor Scraper: Gathers data on hotels, restaurants, and attractions from TripAdvisor
- Yelp Review Scraper: Extract reviews from Yelp business listings
Support
If you encounter any issues or have questions, please contact our support team at cloud-support@scrapehero.com or browse our help center at https://app.scrapehero.com/docs/.