Wait and Finish

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "fail": "",
9    "dataset": {
10        "id": None,
11        "items": [
12            {
13                "id": 1,
14                "text": "My first item",
15            },
16            {
17                "id": 2,
18                "text": "My second item",
19            },
20        ],
21    },
22    "output": { "outputMessage": "Actor finished" },
23    "statusMessage": "",
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("useful-tools/wait-and-finish").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
31for item in client.dataset(run["defaultDatasetId"]).iterate_items():
32    print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start