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.
You can access the Dataset Processor in Python programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "dataset": "test-dataset",
10 "rowFnc": """def process_row(row):
11 row[\"process\"] = True
12 print(f'Row was procesed {row}')
13 return row
14""",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("drobnikj/dataset-processor-python").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDataset Processor in Python API in Python
The Apify API client for Python is the official library that allows you to use Dataset Processor in Python API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Jakub DrobníkMaintained by Community
Actor metrics
- 2 monthly users
- 2 stars
- 84.8% runs succeeded
- Created in Jan 2023
- Modified 10 months ago
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