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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).
foodpanda Scraper - Restaurants & Menus (Asia-Pacific)goat255/foodpanda-scraper
Type
Country
Name
Cuisines
+15 fieldsTextNumberBooleanListObject
Input
Mode:restaurants
Country:sg
City:dhaka
Output fields
Type
Country
Name
Cuisines
Rating
Reviews
Price tier
Delivery fee
Delivery mins
Min order
Address
City
Restaurant
Menu category
Price
Currency
URL
Restaurant URL
Scraped at
Sign up on Apify01
Create your Apify account to access the foodpanda Scraper - Restaurants & Menus (Asia-Pacific).
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
