Dataset Processor in Python

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Dataset Processor in Python

Dataset Processor in Python

drobnikj/dataset-processor-python

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This actor utilizes Python to process the dataset.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

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)
Developer
Maintained by Community
Actor stats
  • 10 users
  • 678 runs
  • Modified 15 days ago

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