Dataset Processor in Python
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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 more
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 "dataset": "test-dataset",
9 "rowFnc": """def process_row(row):
10 row[\"process\"] = True
11 print(f'Row was procesed {row}')
12 return row
13""",
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("drobnikj/dataset-processor-python").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDeveloper
Jakub DrobníkMaintained by Community
Actor metrics
- 4 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Jan 2023
- Modified 8 months ago
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