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Pay per usage
Pricing
Pay per usage
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Jakub Drobník
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2 years ago
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You can access the Dataset Processor in Python programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "dataset": "test-dataset",10 "rowFnc": """def process_row(row):11 row[\"process\"] = True12 print(f'Row was procesed {row}')13 return row14""",15}16
17# Run the Actor and wait for it to finish18run = 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-startThe 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: