Pricing

Pay per usage

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Dataset Validity Checker

Try for free

Developed by

Matěj Sochor

Automatically checks, whether default datasets created by runs of an actor differ too much from the previously encountered ones, allowing it to warn you about web scraping problems caused by, e.g., a website layout changing, or other significant changes in the resulting data.

0.0 (0)

Pricing

Pay per usage

Last modified

3 years ago

Developer tools

You can access the Dataset Validity Checker 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
10# Run the Actor and wait for it to finish
11run = client.actor("equidem/dataset-validity-checker").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Validity Checker API in Python

The Apify API client for Python is the official library that allows you to use Dataset Validity Checker API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Validity Checker API in JavaScript

Dataset Validity Checker API through CLI

Dataset Validity Checker OpenAPI definition

Dataset Validity Checker API

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