Batch Runner

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    "batch": [
12        {
13            "actorId": "useful-tools/wait-and-finish",
14            "input": {
15                "minWaitTime": 30,
16                "dataset": {
17                    "items": [
18                        {
19                            "key": "value1"
20                        }
21                    ]
22                }
23            }
24        },
25        {
26            "actorId": "useful-tools/wait-and-finish",
27            "input": {
28                "dataset": {
29                    "items": [
30                        {
31                            "key": "value1"
32                        },
33                        {
34                            "key": "value2"
35                        }
36                    ]
37                }
38            }
39        }
40    ],
41    "maxConcurrency": 25,
42    "maxMemoryMb": 32768
43};
44
45// Run the Actor and wait for it to finish
46const run = await client.actor("useful-tools/batch-runner").call(input);
47
48// Fetch and print Actor results from the run's dataset (if any)
49console.log('Results from dataset');
50console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
51const { items } = await client.dataset(run.defaultDatasetId).listItems();
52items.forEach((item) => {
53    console.dir(item);
54});
55
56// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs