XMLs To Dataset avatar

XMLs To Dataset

Try for free

No credit card required

View all Actors
XMLs To Dataset

XMLs To Dataset

mtrunkat/xmls-to-dataset
Try for free

No credit card required

Go to actor anytime you need to download XML files and store them in the dataset.

You can access the XMLs To Dataset 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    "sources": [
12        {
13            "url": "https://www.w3schools.com/xml/plant_catalog.xml"
14        },
15        {
16            "url": "https://www.w3schools.com/xml/cd_catalog.xml"
17        }
18    ],
19    "proxy": {
20        "useApifyProxy": true
21    }
22};
23
24// Run the Actor and wait for it to finish
25const run = await client.actor("mtrunkat/xmls-to-dataset").call(input);
26
27// Fetch and print Actor results from the run's dataset (if any)
28console.log('Results from dataset');
29console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
30const { items } = await client.dataset(run.defaultDatasetId).listItems();
31items.forEach((item) => {
32    console.dir(item);
33});
34
35// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

XMLs To Dataset API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use XMLs To Dataset API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 6 monthly users

  • 5 stars

  • >99% runs succeeded

  • Created in Feb 2018

  • Modified 2 years ago

Categories