
Ubereats Stores Discovery By Brand URL
Pricing
$9.99/month + usage

Ubereats Stores Discovery By Brand URL
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
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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, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "brand_urls": ["https://www.ubereats.com/brand/mcdonalds"] }9
10# Run the Actor and wait for it to finish11run = 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("πΎ 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# π Want to learn more π? 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: