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Dataset Quality Check - Validate Scraped Data Before Export

Validate a scraped dataset before you ship it: required fields, types, duplicates and URL/email formats, with a pass/fail JSON and Markdown report. Swap the sample items for your dataset ID.

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Dataset Quality Gate - Schema & Data QA
Dataset Quality Gate - Schema & Data QAjy-labs/dataset-quality-gate
Gate status
Passed
Report name
Total items
+11 fields
Text
Number
Boolean
List
Object

Input

Fields that must be present:id+1
Fields that must be unique:id

Output fields

Gate status
Passed
Report name
Total items
Fields profiled
Total issues
Errors
Warnings
Issue counts by code
Source type
Source Dataset ID
Source Run ID
Source items checked
Source items available
Source truncated

How it works

Sign up on Apify or log in

The Dataset Quality Gate - Schema & Data QA Actor is ready to run with the inputs already set for "Dataset Quality Check - Validate Scraped Data Before Export". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Dataset Quality Check - Validate Scraped Data Before Export" task

The Dataset Quality Gate - Schema & Data QA Actor will start running based on the input automatically. You can also change all the input fields, like fields that must be present and fields that must be unique, to match your specific use case.

Receive the "Dataset Quality Check - Validate Scraped Data Before Export" 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 gate status, passed, report name, 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 "Dataset Quality Check - Validate Scraped Data Before Export" task via API.

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Integrate "Dataset Quality Check - Validate Scraped Data Before Export" into your workflow

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