Uber Eats Restaurant Details Scraper

📌 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

Uber Eats Restaurant Details Scraper returns these 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

• Built for Uber Eats: 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.
• Inputs match the workflow: The form uses Uber Eats Restaurant URL (up to 1,000 entries).
• Fields stay connected: Uber Eats Restaurant Details Scraper returns Dish_name, Restaurant_URL, Price_range, Description, and Restaurant in the same structured dataset.
• Ready for repeat use: After Uber Eats Restaurant Details 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:

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

🚀 How to Use

1. Open Uber Eats Restaurant Details Scraper and click Try it!.
2. Complete Uber Eats Restaurant URL 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 Dish_name, Restaurant_URL, and Price_range, then export the rows in the format you need.

💡 Tips

• Test one representative value in Uber Eats Restaurant URL before submitting a large batch to Uber Eats Restaurant Details Scraper.
• Use Dish_name and Restaurant_URL when checking duplicates or comparing repeated exports.

❓ FAQ

How many entries can Uber Eats Restaurant Details Scraper accept in Uber Eats Restaurant URL per run?

Enter up to 1,000 values in Uber Eats Restaurant URL per run.

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

The workflow is configured for detail pages and returns fields such as Dish_name, Restaurant_URL, Price_range, and Description.

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

Use Review_count to analyze customer or audience feedback and sentiment.

🔗 Related Templates

• Uber Eats Restaurant Listing Scraper — Use Uber Eats Restaurant Listing Scraper to discover restaurant source links before collecting restaurant and menu details.
• Just Eat Restaurant Menu Scraper — Use Just Eat Restaurant Menu Scraper for comparable restaurant, dish, description, nutrition, and price fields.
• Just Eat Restaurant Listing Scraper — Use Just Eat Restaurant Listing Scraper for comparable restaurant discovery, rating, delivery-time, and fee data.