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Dataset Validity Checker

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Dataset Validity Checker

Dataset Validity Checker

equidem/dataset-validity-checker

Developed by

Matěj Sochor

Maintained by Community

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

3

Monthly users

3

Runs succeeded

94%

Last modified

2 years ago

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.

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:

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.