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Detect schema drift in an Apify dataset

Monitor scheduled scraper dataset output for schema, record-count, missing-rate, and field-type drift without storing raw row values.

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Dataset Drift Monitor
Dataset Drift Monitorchecksmithcats/dataset-drift-monitor
Product
Check id
Severity
Summary
+2 fields
Text
Number
Boolean
List
Object

Input

Stable baseline key:sample-product-catalog
Submitted JSON items
url:https://example.com/products/a+1
title:Sample product A+1
price:19.99+1
availability:in_stock+1
Sample limit:2
State store name:dataset-drift-monitor-sample

Output fields

Product
Check id
Severity
Summary
Subject id
Generated at

How it works

Sign up on Apify or log in

The Dataset Drift Monitor Actor is ready to run with the inputs already set for "Detect schema drift in an Apify dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect schema drift in an Apify dataset" task

The Dataset Drift Monitor Actor will start running based on the input automatically. You can also change all the input fields, like stable baseline key, submitted json items, and more, to match your specific use case.

Receive the "Detect schema drift in an Apify dataset" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product, check id, severity, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Detect schema drift in an Apify dataset" task via API.

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