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Pivot Table from an Apify Dataset - Values into Columns

Spreadsheet-style pivot table from any dataset: one field becomes columns, cells filled with sums or counts, plus a grand-total row and Excel export.

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Dataset Aggregate, Group By & Pivot
Dataset Aggregate, Group By & Pivotnerolabs/dataset-aggregate-pivot
Region
Orders
Total amount
Avg amount
Text
Number
Boolean
List
Object

Input

Data (inline)
orderId:1001+7
region:North+7
product:Widget+7
amount:$1,200.00+7
orderedAt:2026-07-03+7
Group by field(s):region
Pivot field (optional):product
Pivot value field (optional):amount
Pivot cell function:sum
Add a grand-total row:true
Export file formats:xlsx

Output fields

Region
Orders
Total amount
Avg amount

How it works

Sign up on Apify or log in

The Dataset Aggregate, Group By & Pivot Actor is ready to run with the inputs already set for "Pivot Table from an Apify Dataset - Values into Columns". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Pivot Table from an Apify Dataset - Values into Columns" task

The Dataset Aggregate, Group By & Pivot Actor will start running based on the input automatically. You can also change all the input fields, like data (inline), group by field(s), and more, to match your specific use case.

Receive the "Pivot Table from an Apify Dataset - Values into Columns" 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 region, orders, total amount, 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 "Pivot Table from an Apify Dataset - Values into Columns" task via API.

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