Pricing

Pay per usage

Go to Store

Dataset Processor in Python

Try for free

Developed by

Jakub Drobník

This actor utilizes Python to process the dataset.

0.0 (0)

Pricing

Pay per usage

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.

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

Other API clients include:

Dataset Processor in Python API in JavaScript

Dataset Processor in Python API through CLI

Dataset Processor in Python OpenAPI definition

Dataset Processor in Python API

Pricing

Pricing model

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.

Python Example

apify/python-example

Example Actor written in Python, showing how to read the Actor input and push to the Actor's default dataset.

Apify

100

python org

kudasav/python-org

An actor to scrape upcoming Python events from all around the world

Kuda Savanhu

My Actor 1

monisha08/my-actor-1

Python

Monisha Monisha.R

Example Code Runner (Python)

apify/example-code-runner-python

Python Actor to run code examples from the documentation via "Run on Apify" links.

Apify

Python Event Webscraper

omkwaita98/my-actor

Marvin Shikuambi

LLM Dataset Processor

dusan.vystrcil/llm-dataset-processor

Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.

Dušan Vystrčil

XMLs To Dataset

mtrunkat/xmls-to-dataset

Go to actor anytime you need to download XML files and store them in the dataset.

Marek Trunkát

101

BeautifulSoup Scraper

apify/beautifulsoup-scraper

Crawls websites using raw HTTP requests. It parses the HTML with the BeautifulSoup library and extracts data from the pages using Python code. Supports both recursive crawling and lists of URLs. This Actor is a Python alternative to Cheerio Scraper.

Apify

811

Zillow.com Scraper

xanthic_patron/pyzill

This Python-based Zillow scraper extracts property data, including sold listings, for-sale properties, and rentals. It supports search filters like location, price, and bedrooms. The tool uses proxies to prevent IP blocks and saves results in JSON format for easy integration with Python projects.