Dataset Processor in Python

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "dataset": "test-dataset",
    "rowFnc": """def process_row(row):
    row[\"process\"] = True
    print(f'Row was procesed {row}')
    return row
""",
}

# Run the Actor and wait for it to finish
run = client.actor("drobnikj/dataset-processor-python").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)