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Dataset Processor in Python

Try for free

Developed by

Jakub Drobník

This actor utilizes Python to process the dataset.

0.0 (0)

Pricing

Pay per usage

Monthly users

Runs succeeded

>99%

Last modified

a year ago

Developer tools

Integrations

Open source

You can access the Dataset Processor in Python programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1echo '{
2  "dataset": "test-dataset",
3  "rowFnc": "def process_row(row):\\n    row[\\"process\\"] = True\\n    print(f'\''Row was procesed {row}'\'')\\n    return row\\n"
4}' |
5apify call drobnikj/dataset-processor-python --silent --output-dataset

Dataset Processor in Python API through CLI

The Apify CLI is the official tool that allows you to use Dataset Processor in Python locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

1npm i -g apify-cli
2apify login

Other API clients include:

Dataset Processor in Python API in Python

Dataset Processor in Python API in JavaScript

Dataset Processor in Python OpenAPI definition

Dataset Processor in Python API

Pricing

Pricing model

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.

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