Dataset Processor in Python
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Dataset Processor in Python
drobnikj/dataset-processor-python
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This actor utilizes Python to process the dataset.
You can access the Dataset Processor in Python programmatically from your own JavaScript 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.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "dataset": "test-dataset",
12 "rowFnc": `def process_row(row):
13 row["process"] = True
14 print(f'Row was procesed {row}')
15 return row`
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("drobnikj/dataset-processor-python").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26 console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDataset Processor in Python API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Dataset Processor in Python API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
Developer
Jakub DrobníkMaintained by Community
Actor metrics
- 2 monthly users
- 2 stars
- 84.8% runs succeeded
- Created in Jan 2023
- Modified 10 months ago
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