Dataset Validity Checker
Pricing
Pay per usage
Dataset Validity Checker
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
Total users
13
Monthly users
1
Runs succeeded
>99%
Last modified
3 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {};11
12// Run the Actor and wait for it to finish13const run = await client.actor("equidem/dataset-validity-checker").call(input);14
15// Fetch and print Actor results from the run's dataset (if any)16console.log('Results from dataset');17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);18const { items } = await client.dataset(run.defaultDatasetId).listItems();19items.forEach((item) => {20 console.dir(item);21});22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDataset Validity Checker API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Dataset Validity Checker API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include:
