Dataset Processor in Python
- drobnikj/dataset-processor-python
- Modified
- Users 3
- Runs 272
- Created by
Jakub Drobník
This actor utilizes Python to process the dataset.
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) => {
console.dir(item);
});
})();
