Amazon Discount Claims: Sample Validation

Created by

Practical AI Lab

Actor

Amazon Discount Data Audit (Offline Dataset Checker)

Check synthetic list and sale prices for incorrect discount percentages and missing source information. Use authorized data only; no Amazon scraping.

Try for free

Amazon Discount Data Audit (Offline Dataset Checker)practical_ai_lab_jp/pal-amazon-discount-data-audit

Row

Title

List price

+7 fields

Input

Offer rows

asin:B0SAMPLE01+4

title:Sample kettle+4

listPrice:$100.00+3

price:$75.00+4

discount:25%+4

Percent tolerance (points):1.0

Amount tolerance (currency units):0.02

Implausible above (percent):90

Maximum rows:1000

Output only problem rows:false

Output fields

Row

Title

List price

Current price

Claimed %

Computed %

Gap (pts)

Verdict

Flags

Severity

How it works

Sign up on Apify or log in

The Amazon Discount Data Audit (Offline Dataset Checker) Actor is ready to run with the inputs already set for "Amazon Discount Claims: Sample Validation". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Amazon Discount Claims: Sample Validation" task

The Amazon Discount Data Audit (Offline Dataset Checker) Actor will start running based on the input automatically. You can also change all the input fields, like offer rows, percent tolerance (points), and more, to match your specific use case.

Receive the "Amazon Discount Claims: Sample Validation" 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 row, ID, title, 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 "Amazon Discount Claims: Sample Validation" task via API.