Uber Eats Review Monitoring for Restaurants
Data Forge
Track customer reviews for any restaurant on Uber Eats: paste the store URL, get review text and dates plus the full menu. Simple reputation monitoring.
Input
Output fields
Sign up on Apify or log in
The Uber Eats Restaurant Scraper Actor is ready to run with the inputs already set for "Uber Eats Review Monitoring for Restaurants". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Uber Eats Review Monitoring for Restaurants" task
The Uber Eats Restaurant Scraper Actor will start running based on the input automatically. You can also change all the input fields, like store urls or slugs, city, and more, to match your specific use case.
Receive the "Uber Eats Review Monitoring for Restaurants" 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 π· row type, π restaurant, β rating, 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 "Uber Eats Review Monitoring for Restaurants" task via API.
Integrate "Uber Eats Review Monitoring for Restaurants" into your workflow
Connect "Uber Eats Review Monitoring for Restaurants" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay