Uber Eats Restaurant Listing Scraper

📌 What restaurant names and links can you discover on Uber Eats by address and keyword?

This template collects structured records from listing pages, including Keyword, Restaurant_name, Website. It is useful for restaurant operators, food-delivery analysts, local-market researchers, and sales teams.

Data is collected from Uber Eats. Uber Eats is a food-delivery marketplace for discovering restaurants, menus, prices, and delivery options.

💰 Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

📦 Output

Uber Eats Restaurant Listing Scraper returns these fields:

• Keyword
• Restaurant_name
• Website

{
  "Keyword": "dominos",
  "Restaurant_name": "Domino's Pizza (Bristol - Emerson's Green)",
  "Website": "https://www.ubereats.com/gb/store/dominos-pizza-bristol-emersons-green/tbIjQfdxW32AkU3KjY6zSQ"
}

🎯 Use Cases

• Use Keyword and Restaurant_name to discover restaurants matching a cuisine or business query.
• Use Restaurant_name and Website to build source-linked restaurant lists.
• Use Keyword to compare restaurant coverage across repeated searches or locations.
• Use Restaurant_name and Website together to identify and deduplicate restaurant records.

🐙 Why Octoparse

• Built for Uber Eats: Takes the configured Confirm, Address, Confirm Address, Keyword inputs, submits each supplied value and iterates the returned records on Uber Eats listing pages, then emits structured rows containing fields such as Keyword, Restaurant_name, Website.
• Inputs match the workflow: The form uses Confirm (up to 1 entries), Address, and Keyword (up to 100 entries).
• Fields stay connected: Uber Eats Restaurant Listing Scraper returns Restaurant_name, Keyword, and Website in the same structured dataset.
• Ready for repeat use: After Uber Eats Restaurant Listing Scraper runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 Input

Complete the following fields:

• Country (Required) — Select a country or area. Available options: Australia, Belgium, Canada, France, Germany, Ireland, Italy, Mexico, Japan, New Zealand, Netherlands, Poland, Portugal, Sweden, Spain, Switzerland, Taiwan,China, United Kingdom, United States.
• Confirm (Required) — Confirm the country you selected. Available options: Australia, Belgium, Canada, France, Germany, Ireland, Italy, Mexico, Japan, New Zealand, Netherlands, Poland, Portugal, Sweden, Spain, Switzerland, Taiwan,China, United Kingdom, United States.
• Address (Required) — Enter an address to find nearby restaurants.
• Confirm Address (Required) — Confirm the address you entered. Please make sure to enter the same address as the previous param.
• Keyword (Required) — Please enter the keyword of the restaurants you want to find. Up to 100 entries per run.

🚀 How to Use

1. Open Uber Eats Restaurant Listing Scraper and click Try it!.
2. Complete Confirm, Address, and Keyword using the formats and limits shown in the Input section.
3. Choose a local or cloud run in Octoparse and start the task.
4. Review fields such as Restaurant_name, Keyword, and Website, then export the rows in the format you need.

💡 Tips

• Start with a small, representative Confirm selection before scaling the task.
• Keep Keyword in the export so every row can be traced to its originating input or page.

❓ FAQ

How many entries can Uber Eats Restaurant Listing Scraper accept in Confirm per run?

Enter up to 1 values in Confirm per run.

Which Uber Eats pages does Uber Eats Restaurant Listing Scraper process?

The workflow is configured for listing pages and returns fields such as Restaurant_name, Keyword, and Website.

What can I use data from Uber Eats Restaurant Listing Scraper for?

Use Keyword and Restaurant_name to discover restaurants matching a cuisine or business query.

🔗 Related Templates

• Uber Eats Restaurant Details Scraper — Use Uber Eats Restaurant Details Scraper to collect restaurant location, rating, contact, and menu fields from discovered restaurant URLs.
• Just Eat Restaurant Listing Scraper — Use Just Eat Restaurant Listing Scraper for a comparable food-delivery restaurant discovery workflow.
• Just Eat Restaurant Listing Scraper - Italian — Use Just Eat Restaurant Listing Scraper - Italian for another location-based restaurant listing workflow.