Load a CSV or Google Sheet Into a Postgres Table by URL
Append every row of a public CSV, Excel, JSON file or Google Sheet (here the open ISO country-codes CSV on GitHub, 250 rows, 56 columns) into a Postgres table, creating it with one typed column per field. Ships as a dry run so Try needs no database: it shows the CREATE TABLE for all 56 columns. Add your connection string and turn Dry run off to load it; swap in your own file or sheet link.
Input
Output fields
Sign up on Apify01
Create your Apify account to access the Dataset to Postgres, Supabase & MySQL (Database Push).
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.
