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Dataset Processor in Python

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Developed by

Jakub Drobník

This actor utilizes Python to process the dataset.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

a year ago

Developer tools

Integrations

Open source

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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-start

Dataset 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-client

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Dataset Processor in Python OpenAPI definition

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