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Uber Eats Restaurant Details Scraper

E-CommerceMCPMCP
Get restaurant info & menu details (rating, dish price, description. etc.) from Uber Eats by store/restaurant details page.
All
Access Level
Run Mode
Free
Cost of Usage
2026/08/19
Last updated
Try it!

📌 What restaurant, location, rating, and menu data can you collect from Uber Eats?

This template collects structured records from detail pages, including Restaurant, Restaurant_URL, Cuisine_type, Price_range, Locality, Region, Postal_code, Country, Street, Latitude, Longitude, Telephone and other published output fields. 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

The current published implementation can return the following fields:

  • Restaurant
  • Restaurant_URL
  • Cuisine_type
  • Price_range
  • Locality
  • Region
  • Postal_code
  • Country
  • Street
  • Latitude
  • Longitude
  • Telephone
  • Rating
  • Review_count
  • Error_message
  • Dish_category
  • Dish_name
  • Price
  • Description
{
  "Restaurant": "McDonald's® (L.A. - Wilshire\\u002FUnion)",
  "Restaurant_URL": "https://www.ubereats.com/store/mcdonalds-la-wilshire-union/-OCvBm1NSA-SVnmNOpc8Mg?diningMode=DELIVERY",
  "Cuisine_type": "American, Fast Food, Burgers, Group Friendly",
  "Price_range": "$",
  "Locality": "Los Angeles",
  "Region": "CA",
  "Postal_code": "90017",
  "Country": "US",
  "Street": "1625 Wilshire Blvd",
  "Latitude": "34.0559081",
  "Longitude": "-118.2708033",
  "Telephone": "+12134838702",
  "Rating": "4.4",
  "Review_count": "200",
  "Error_message": null,
  "Dish_category": "Featured items",
  "Dish_name": "Big Mac® Meal",
  "Price": "$11.69",
  "Description": "Buy 1, Get 1 Free"
}

🎯 Use Cases

  • Use Rating and Review_count to compare restaurant reputation and review volume.
  • Use Price_range and dish-level Price to compare displayed menu pricing.
  • Use Locality, Region, Postal_code, Street, Latitude, and Longitude to segment restaurants geographically.
  • Use Restaurant_URL and Telephone to retain source and contact details for restaurant research.

🐙 Why Octoparse

  • Ready-to-use workflow: The extraction steps for Uber Eats are already configured, so you do not need to build the scraper from scratch.
  • Flexible execution: Choose the supported local or cloud run mode to fit one-off checks or repeatable collection work.
  • Structured, repeatable output: Results are returned as consistent rows that are easier to compare, filter, deduplicate, and process than manually copied pages.
  • Verified input guardrails: The form exposes the current inputs, selectable values, and meaningful limits configured for this template.
  • Practical data handoff: Review results in Octoparse and export or process them using the options supported by your Octoparse environment.

📝 Input

Complete the following fields:

  • Uber Eats Restaurant URL (Required) — Up to 1,000 entries per run.

🚀 How to Use

  1. Open the template and select Try it or Start.
  2. Complete the input fields listed above.
  3. Start the task using the supported local or cloud run mode.
  4. Review the output rows and export or process the structured data.

⚠️ Limitations

Results depend on what the source site exposes at run time. A listed output field can be empty when the source page does not provide that value. Input limits shown above are enforced by the template.

💡 Tips

Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.

❓ FAQ

How does this scraper work?

The template takes the configured Uber Eats Restaurant URL (up to 1,000 per run) input, opens each supplied URL and follows the configured page loops on Uber Eats detail pages, then emits structured rows containing fields such as Restaurant, Restaurant_URL, Cuisine_type, Price_range, Locality.

What do I need to enter?

Use the fields and accepted values shown in the Input section. Only user-relevant limits and selectable options are listed.

What data does this template return?

The current output fields and a representative JSON Data Preview are listed in the Output section. Field availability can vary when the source page does not display a value.

Is this template free to use?

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

Why can some output fields be empty?

Source pages do not always expose every value for every record, and layouts can vary by item, market, or current site response. The template returns a field when the current page provides it.

Can I export the collected data?

You can review the structured rows in Octoparse and export or process them using the options supported by your Octoparse environment.

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