Prepare foodpanda restaurants for analysis in Python
Flat, consistently typed foodpanda restaurants that loads straight into pandas or a notebook without cleanup. Configured with dhaka (bd).
Input
Output fields
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The foodpanda Scraper - Restaurants & Menus (Asia-Pacific) Actor is ready to run with the inputs already set for "Prepare foodpanda restaurants for analysis in Python". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Prepare foodpanda restaurants for analysis in Python" task
The foodpanda Scraper - Restaurants & Menus (Asia-Pacific) Actor will start running based on the input automatically. You can also change all the input fields, like mode, country, and more, to match your specific use case.
Receive the "Prepare foodpanda restaurants for analysis in Python" 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 type, country, name, 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 "Prepare foodpanda restaurants for analysis in Python" task via API.
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