Scrape UberEATS Restaurant Data

UberEATS Restaurant Data Extractor

UberEATS restaurant data scraper is developed to extract necessary restaurant data such as type of cuisine, opening hours, closing hours, ratings, reviews, etc.

UberEATS Restaurant Data Feed Includes

Name, URL, branch, rating, number of votes, address, pin code, timestamp, city, etc.

This UberEATS data can be used to analyze variation in price, restaurant ratings, etc.

Procedure to Use and Try Free Crawlers

The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.

Step 1: Initiate Advance Search

Provide search queries for any search result URLs for scraping any product data from UberEats.

Step 2: Downloading

You can download the data in any required format such as CSV, HTML, Excel, JSON.

Step 3: Scheduling the crawler

Schedule the crawler on an hourly basis, weekly, or regularly to stay updated with products on Dropbox.

Extracting UberEATS restaurant data allows you to search for restaurant details that you can categorize based on parameters like reviews, type of cuisines, ratings, and other unique characteristics. Based on the requirements you state from filtering on the UberEATS category page, UberEATS scraper may be used to scrape UberEATS product data using Python. After selecting the criteria for the data, you desire, you may arrange the filter according to your needs, and you can copy the necessary URL and paste it into the Initial URL tab in the Edit PDE view.

Uses and Benefits of Scraping UberEATS Restaurant Data

• If a department category or search page on Amazon contains pagination, all pages will be crawled repeatedly.
• You may also utilize the task scheduler capability to execute this scraper in an automatically.
• There will be no requirement to download any software or extensions.
• We will be always there to make necessary changes to the scrapers as per the requirement.
• You can download the data without any knowledge of coding.
• We analyze and resolve any issues that rely to website structure changes and blocking from the website.

What Does the Output Data Look Like?

This data is made up of up to 3 lines, each of which contains information about a single (unique) page, such as its Id, Item_name, cost, sponsored, image, rating, URL, seller, description, from UberEATS.