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Restaurant Competitor Analysis

Benchmark rival restaurants in one run: full menus, section and item counts, price ranges and price coverage per store. CSV or JSON.

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Uber Eats Menu Scraper
Uber Eats Menu Scrapersian.agency/uber-eats-menu-scraper
🍽️ Restaurant URL
🏪 Shop Name
🆔 Shop ID
✅ Menu Found
+7 fields
Text
Number
Boolean
List
Object

Input

🚀 Bulk Restaurant URLs (Multiple)
url:https://www.ubereats.com/store/mcdonalds-greenpoint-manhattan/NaYaAyN3QEG62r-qZ6o6Ww+2

Output fields

🍽️ Restaurant URL
🏪 Shop Name
🆔 Shop ID
✅ Menu Found
📊 Analytics
📑 Sections
📋 Menu Sections
🍕 Total Items
🍽️ All Menu Items
⏰ Processed
📌 Status

How it works

Sign up on Apify or log in

The Uber Eats Menu Scraper Actor is ready to run with the inputs already set for "Restaurant Competitor Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Restaurant Competitor Analysis" task

The Uber Eats Menu Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🚀 bulk restaurant urls (multiple), to match your specific use case.

Receive the "Restaurant Competitor Analysis" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 🍽️ restaurant url, 🏪 shop name, 🆔 shop id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Restaurant Competitor Analysis" task via API.

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Integrate "Restaurant Competitor Analysis" into your workflow

Connect "Restaurant Competitor Analysis" with 100+ integrations, or run it via API or MCP.

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