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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
Node.js
Python
curl
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5 token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10 "dataset": "test-dataset",
11 "rowFnc": "def process_row(row):\n row[\"process\"] = True\n print(f'Row was procesed {row}')\n return row\n"
12};
13
14(async () => {
15 // Run the Actor and wait for it to finish
16 const run = await client.actor("drobnikj/dataset-processor-python").call(input);
17
18 // Fetch and print Actor results from the run's dataset (if any)
19 console.log('Results from dataset');
20 console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
21 const { items } = await client.dataset(run.defaultDatasetId).listItems();
22 items.forEach((item) => {
23 console.dir(item);
24 });
25})();
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDeveloper
Jakub DrobníkMaintained by Community
Actor metrics
- 4 monthly users
- 90.9% runs succeeded
- 0.0 days response time
- Created in Jan 2023
- Modified 5 months ago
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