About Uber Eats

Uber Eats is an online food delivery platform & food ordering app based in the USA. Uber Eats helps you to order food as per your choice from a wide range of restaurants. While using this app, the customers can order, track and they can search for their food also.

Uber Eats' Gross Booking is around $30.2 Billion as of 2020. Uber Eats approx revenue as of 2020 is around $4.8 Billion. There were around 66 Million users in 2020. Uber Eats is available in more than 6,000 cities. There were around 6, 00,000 Uber Eats Restaurants by 2020. Uber Eats’ yearly average users spent $220 as of 2018. The average Uber Eats order takes 30 minutes to deliver.

Uber Eats Restaurant Data Scraping

Web Screen Scraping providing Restaurant Listing Data and Foods Details Scraping Services to extract data from Uber Eats. We scrape accurate data in different languages like NumPy, SciPy, Matplotlib, and Pandas and provide required hotel business data and helps you to extract restaurant data, menu data, competitive pricing data, delivery charges & discount, Description, Menu Category, Restaurant locations data, reviews, and ratings.

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List of Data Fields

At Web Screen Scraping, we extract required data fields from Uber Eats Restaurant:

  • Name of Restaurants
  • Address of Restaurants
  • Number of Restaurants
  • Opening hours of Restaurants
  • More Information
  • Reviews of Restaurants
  • Multi-Cuisines
  • Reviews of Customers
  • Restaurants Ratings
  • Payment’s Methods
  • Menu of Restaurants
  • Products Types
  • Food Price
  • Discounted Price
  • Food Description
We Can Scrape

We Can Scrape Different Food Delivery Apps

Scrape Food Delivery Apps List:

  • Caviar.com
  • ChowNow.com
  • Doordash.com
  • Foodpanda.com
  • GoPuff.com
  • GrubHub.com
  • InstaCart.com
  • Postmates.com
  • Seamless.com
  • Swiggy.com
  • Zomato.com
Why Need Scraping

Why Require Uber Eats Data Scraping Services?

  • Usually, a web extractor collapses when the focused websites do any changes in the design or structure and that is why you require a superior support team that can take an instant decision. With us, it’s very easy to get help right away.

  • Maintenance is a very important aspect of web data extraction as the web is really dynamic. Each extraction setup that works well now might not work fine in the upcoming days if the dedicated applications do any changes.

  • You can effortlessly get a faster reversal time because you are utilizing our Scraping services instead of doing it manually.

Why Us

Why Choose Web Screen Scraping?

  • We help you to Extract Restaurant Listing Data from Uber Eats and easily get required data as you do not need to do anything.

  • Usually, web scraping does analysis in some cases the dedicated websites do some adjustments in the format and designs and that is why you need a speedy support team, which can take quick decisions. You will receive rapid support from Web Screen Scraping.

If you are looking for the best Uber Eats Restaurant Data Scraping, then you can contact us for all your queries.

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