Yelp Business Details Scraper
Overview
Extract detailed business information from Yelp, including business name, address, phone number, website, ratings, reviews, owner details, and more. This tool provides a comprehensive overview of businesses listed on Yelp, enabling users to analyze and compare business performance based on customer feedback and key business data.
How to Use
- Log in to your ScrapeHero Cloud account.
- Navigate to the Yelp Business Details Scraper App in the Scrapehero App store.
- Click on "Create New Project".
- Go to yelp.com and search for a business at any location For Example: Restaurants in Boston
- Copy the search results URL and paste it into the Yelp Business URLs/Search URLs field of the crawler.
- Specify number of results to scrape.
- 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 Yelp Business Details Scraper App provides the following data fields:
Field Name | Description | Data Type |
---|---|---|
business_name | name of the business | TextField() |
address | business address | TextField() |
phone | business contact number | TextField() |
average_rating | business rating | TextField() |
total_reviews | total reveiws of business | TextField() |
url | yelp business url | TextField() |
input_url | input provided by user | TextField() |
website | business website | TextField() |
geo_coordinates | coordinates | JSONField() |
street | business street name | TextField() |
locality | business locality | TextField() |
country | country business is loacted | TextField() |
state | state business is located | TextField() |
zipcode | business zipcode | TextField() |
rating_histogram | rating histogram | JSONField() |
from_the_business | from business | TextField() |
owner | business owner name | TextField() |
owner_photo | owner photo | TextField() |
year_joined | year joined in yelp | JSONField() |
claimed | claimed details | JSONField() |
amenities | amenities | JSONField() |
workhours | working hours | JSONField() |
price_range | price range | JSONField() |
category | business category | TextField() |
Sample Data Record
Here's an example of a typical data record returned by this scraper:
This scraper uses 10 data credit
per data record. Learn more about data credits.
[
{
"address": "201 N Mojave Rd Las Vegas, NV 89101",
"amenities": {
"Accepts Credit Cards": "Yes"
},
"average_rating": "5.0",
"business_name": "Yes Auto LV",
"category": "Car Dealers",
"claimed": false,
"country": "US",
"from_the_business": null,
"geo_coordinates": null,
"input_url": "https://www.yelp.com/search?cflt=car_dealers&find_loc=Las%20Vegas%2C%20NV%2089101&start=0",
"locality": "Las Vegas",
"owner": null,
"owner_photo": null,
"phone": "(702) 586-7165",
"price_range": null,
"rating_histogram": {
"1 star": 0,
"2 stars": 0,
"3 stars": 0,
"4 stars": 0,
"5 stars": 3
},
"state": "NV",
"street": "201 N Mojave Rd",
"total_reviews": "3",
"url": "https://www.yelp.com/biz/yes-auto-lv-las-vegas-3",
"website": "http://www.yesautolv.com",
"workhours": [
{
"Mon": [
"10:00 AM - 7:00 PM"
]
},
{
"Tue": [
"10:00 AM - 7:00 PM"
]
},
{
"Wed": [
"10:00 AM - 7:00 PM"
]
},
{
"Thu": [
"10:00 AM - 7:00 PM"
]
},
{
"Fri": [
"10:00 AM - 7:00 PM"
]
},
{
"Sat": [
"10:00 AM - 7:00 PM"
]
},
{
"Sun": [
"10:00 AM - 6:00 PM"
]
}
],
"year_joined": "2018",
"zipcode": "89101"
}
]
Features
- Comprehensive business Data Extraction from yelp.com.
- Real-time scraping of up-to-date information.
- Bulk scraping capabilities for business search results for yelp .
- Data export in multiple formats (CSV, JSON, Excel).
Learn More: For detailed information on using the Yelp Business Details Scraper and its different use cases, read our guide: [https://www.scrapehero.com/how-to-scrape-yelp-com-for-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/.