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Uber Eats McDonalds Menu Price Scraper Data

Extract full Uber Eats menus from 11 mcdonalds stores in several US metros, with item names, prices, descriptions, menu sections and product image URLs.

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UberEats Menu Scraper + Analytics
UberEats Menu Scraper + Analyticsdatacach/ubereats-menu-scraper
Store ID
Store URL
Section
Subsection
+7 fields
Text
Number
Boolean
List
Object

Input

Store URLs(required):https://www.ubereats.com/store/mcdonalds-6225-washington-blvd/p84rkX3yQMK8hVLEwjfUwQ+10
Country Code (optional):us

Output fields

Store ID
Store URL
Section
Subsection
Item Name
Price (raw)
Promo Price
Description
Image URL
Country
Extracted On

How it works

Sign up on Apify or log in

The UberEats Menu Scraper + Analytics Actor is ready to run with the inputs already set for "Uber Eats McDonalds Menu Price Scraper Data". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Uber Eats McDonalds Menu Price Scraper Data" task

The UberEats Menu Scraper + Analytics Actor will start running based on the input automatically. You can also change all the input fields, like store urls and country code (optional), to match your specific use case.

Receive the "Uber Eats McDonalds Menu Price Scraper Data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as store id, store url, section, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Uber Eats McDonalds Menu Price Scraper Data" task via API.

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