Uber Eats Brand Store URL Smoke Test Scraper

Created by

DataCach

Actor

Ubereats Stores Discovery By Brand URL

Pull a handful of Uber Eats store URLs to check a brand URL is valid. For engineers validating scraper inputs cheaply before running a large production job.

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/starbucks

🔢 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 Brand Store URL Smoke Test Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Uber Eats Brand Store URL Smoke Test 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 Brand Store URL Smoke Test 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 Brand Store URL Smoke Test Scraper" task via API.