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Ubereats Stores Discovery By Brand URL

Pricing

$9.99/month + usage

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Ubereats Stores Discovery By Brand URL

Ubereats Stores Discovery By Brand URL

Developed by

DataCach

DataCach

Maintained by Community

Easily extract all Uber Eats store URLs for any brand (McDonald's, Starbucks, Subway, etc.) at scale. This tool converts a list of brand profile links into a JSON feed with direct URLs for each restaurant. Ideal for local analysis, research, and franchise mapping.

0.0 (0)

Pricing

$9.99/month + usage

0

1

1

Last modified

9 days ago

You can access the Ubereats Stores Discovery By Brand URL programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "brand_urls": ["https://www.ubereats.com/brand/mcdonalds"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("datacach/ubereats-stores-discovery-by-brand-url").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

Ubereats Stores Discovery By Brand URL API in Python

The Apify API client for Python is the official library that allows you to use Ubereats Stores Discovery By Brand URL API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: