Yelp Restaurants Web Scraper

Experience the culinary world with our Yelp Restaurants Scraper, the tool for extracting essential dining information from Yelp. Whether you're a food enthusiast exploring new flavors, a business owner seeking competitive insights, or a gourmet analyzing dining trends, our scraper simplifies the process of gathering restaurant data. With just a few clicks, unlock the treasure of information, including restaurant names, reviews, ratings, and more.

Easy to use and Free to try

A few mouse clicks and copy/paste is all that it takes!

* to use you will need to sign up for a  FREE TRIAL account

Steps to use:

Step 1: Click on "Use for Free"

Step 2: Activate the Pre-Defined Extractor by clicking the "Activate button"

Step 3: Enter your starter URLs

Enter a List of search URLs to start the web scraping. It must be a Tripadvisor Restaurants search URL.

Step 4: Click "Run now" 

Using this extractor, you can get:

• reviews
• phone
• name
• amenities
• address
• website
• url

Valid Starter Links:

To begin using the Yelp Restaurants Scraper, users can obtain valid starter links directly from Yelp's search engine.

Obtaining the Starter Link:

Simply navigate to Yelp and input relevant search criteria such as location, cuisine type, or specific restaurant names. Once you're happy with the search results that are displayed, you can copy the URL of the page containing the restaurant listings you'd like to extract data from.

Cost

When you use Yelp Extractor pre-defined web scraper, the cost will be 25 credits per row which equals to $1 for 40 rows.

The output file can be exported as csv, xml, xlsx, json formats.

Below is a screenshot of what data fields we will be web scraping from Yelp.com

You will get your data in following structure in different formats:

{
  "reviews":"(16 reviews)",
  "phone":"960 011 794",
  "name":"Tecolotes",
  "amenities":"",
  "address":"Carrer de Sueca, 51 46006 Valencia", 
  "website":"",
  "url":"https://www.yelp.es/biz/tecolotes-valencia?osq=Cocina+mexicana"
}

What does the output data look like?

*** Data below was extracted on Oct 01, 2024 @06:45