Dataset Processor in Python

  • drobnikj/dataset-processor-python
  • Modified
  • Users 3
  • Runs 272
  • Created by Author's avatarJakub Drobn铆k

This actor utilizes Python to process the dataset.

Dataset Processor in Python

To run the code examples, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token. For a more detailed explanation, please read about running Actors via the API in Apify Docs.

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with API token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',

// Prepare Actor input
const input = {
    "dataset": "test-dataset",
    "rowFnc": "def process_row(row):\n    row[\"process\"] = True\n    print(f'Row was procesed {row}')\n    return row\n"

(async () => {
    // Run the Actor and wait for it to finish
    const run = await client.actor("drobnikj/dataset-processor-python").call(input);

    // Fetch and print Actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {