Uber Eats McDonald's Store URL List Scraper

Created by

DataCach

Actor

Ubereats Stores Discovery By Brand URL

Collect every live McDonald's store URL on Uber Eats for franchise mapping. For retail analysts tracking one brand's delivery footprint and location count.

Try for free

Ubereats Stores Discovery By Brand URLdatacach/ubereats-stores-discovery-by-brand-url

Store URL

Store Slug

Store Name

Parent URL

+7 fields

Input

🔑 Brand URL(s)(required):https://www.ubereats.com/brand/mcdonalds

🔢 Max Search Results(required):10

Output fields

Store URL

Store Slug

Store Name

Parent URL

Region Code

City Code

Country Code

Main Task Started

Extraction Date

Extraction Datetime

Input

How it works

Sign up on Apify or log in

The Ubereats Stores Discovery By Brand URL Actor is ready to run with the inputs already set for "Uber Eats McDonald's Store URL List Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Uber Eats McDonald's Store URL List Scraper" task

The Ubereats Stores Discovery By Brand URL Actor will start running based on the input automatically. You can also change all the input fields, like 🔑 brand url(s) and 🔢 max search results, to match your specific use case.

Receive the "Uber Eats McDonald's Store URL List Scraper" 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 url, store slug, store name, 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 McDonald's Store URL List Scraper" task via API.