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Dataset Processor in Python

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Developed by

Jakub Drobník

This actor utilizes Python to process the dataset.

0.0 (0)

Pricing

Pay per usage

Total users

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

$echo '{
<  "dataset": "test-dataset",
<  "rowFnc": "def process_row(row):\\n    row[\\"process\\"] = True\\n    print(f'\''Row was procesed {row}'\'')\\n    return row\\n"
<}' |
<apify 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

$npm i -g apify-cli
$apify 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

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