1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = { "imageUrls": ["data:image/png;base64,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"] }
9
10
11run = client.actor("apivault_labs/image-text-remover").call(run_input=run_input)
12
13
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16 print(item)
17
18