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$19.99/month + usage

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Ubereats Listing Brands By Country

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DataCach

Automatically fetch the URLs of every brand (restaurant, market, etc) listed on Uber Eats for the countries you specify. Perfect for market research, competitor analysis, or lead generation. Super fast response and reliable data.

0.0 (0)

Pricing

$19.99/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

a day ago

E-commerce

Automation

Lead generation

🌍 Uber Eats – Brand Listing by Country

Automatically fetch the URLs of every brand (restaurant, market, etc) listed on Uber Eats for the countries you specify. Perfect for market research, competitor analysis, or lead generation.

✨ What does this Actor do?

Discovers and extracts the official URL of every brand published on Uber Eats.
Accepts one or more ISO country codes (e.g., US, MX, CL).
Lets you set a maximum number of results per country.
Saves the data to an Apify Dataset ready for export to JSON, CSV, Excel, etc.

📝 Input schema

Field	Type	Required	Description
`target_country_codes`	string[]	Yes	Array of ISO country codes to process.
`max_search_results`	integer	No (default 10)	Maximum URLs returned per country.

Example input

{
  "target_country_codes": ["US", "CL", "MX"],
  "max_search_results": 50
}

📦 Output

Each item in the Dataset looks like:

{
  "brand_url": "https://www.ubereats.com/cl/brand/pollo-frito",
  "main_task_started": "2025-07-18T12:00:00Z",
  "extraction_date": "2025-07-18",
  "extraction_datetime": "2025-07-18T12:00:01Z",
  "input": {
    "country_code": "cl"
  }
}

⚠️ Limits for free accounts

When running with a free Apify account the following restrictions apply automatically:

Only the first country in the list is processed.
A maximum of 10 URLs is returned.

Upgrade to a paid plan to remove these limits.

🚀 How to run

Apify Console
- Click Run.
- Paste your JSON input and start the run.
Programmatically
- Check the "API" section on this page.

🛠 Technical notes

Built with Python 3 and Apify SDK.
Uses asynchronous HTTP requests (httpx)
All dates and times are in UTC.

💬 Support

Need help? Reach us via Apify inbox

✨ Credits

Developed and maintained by the DataCach team.

This Actor is neither affiliated with, sponsored by, nor endorsed by Uber Eats. Use is subject to the Apify Terms and Uber Eats' own terms.

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🌍 Uber Eats – Brand Listing by Country

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