1.Monitor finished task run
Integrate Apify and dataset processing tools to capture the finished run event and pass the dataset JSON URL forward.
Record model pricing to sheet on task completion
Automatically monitor finished task runs across Apify data pipelines. Create and update Google Sheets rows when pricing records are published, run outputs complete, or datasets become availableβso you can transform pricing metrics, append model trends, and avoid manual sheet updates.
How this automation records model pricing trends
When scraping tasks finish but pricing data stays in raw JSON, sheet tracking breaks and trend visibility lags. This automation fetches finished run outputs, transforms pricing entries, and appends rows to Google Sheetsβso your team can track pricing changes over time.
Apifyor swap with your favorite app
2.Run JavaScript to prepare arrays
Integrate Code by Zapier and data transformation tools to filter pricing records and produce row-ready arrays.
Code by Zapieror swap with your favorite app
3.Append pricing rows to a sheet
Integrate Google Sheets and spreadsheet automation tools to map arrays to columns and append one or more rows.
Google Sheetsor swap with your favorite app
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Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
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