1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = { "data": [
9 {
10 "id": "A-1",
11 "company": "Acme Corp.",
12 "contact": {
13 "phone": "(415) 555-0132",
14 "website": "www.acme.com/?utm_source=list",
15 },
16 "price": "$1,299.99",
17 "updatedAt": "03/04/2026",
18 },
19 {
20 "id": "A-2",
21 "company": "ACME Corporation",
22 "contact": {
23 "phone": "+44 20 7946 0958",
24 "website": "HTTPS://Shop.Acme.co.uk/products/",
25 },
26 "price": "1.299,00 €",
27 "updatedAt": "2026-10-23T09:30:00Z",
28 },
29 {
30 "id": "A-3",
31 "company": "Globex, Inc",
32 "contact": {
33 "phone": "415.555.0198 ext. 12",
34 "website": "globex.com",
35 },
36 "price": "GBP 45",
37 "updatedAt": "Oct 5, 2026",
38 },
39 {
40 "id": "A-4",
41 "company": "株式会社サンプル",
42 "contact": {
43 "phone": "03-1234-5678",
44 "website": "http://example.jp:80/about",
45 },
46 "price": "¥12,000",
47 "updatedAt": "2026年10月1日",
48 },
49 {
50 "id": "A-5",
51 "company": "Initech LLC",
52 "contact": {
53 "phone": "not given",
54 "website": "initech",
55 },
56 "price": "2.5k USD",
57 "updatedAt": "yesterday",
58 },
59 ] }
60
61
62run = client.actor("tamatama/data-normalizer").call(run_input=run_input)
63
64
65print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
66for item in client.dataset(run.default_dataset_id).iterate_items():
67 print(item)
68
69