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Amazon Catalog Variation Quality Auditor — example
Created by
Tim Zinin
Run a small curated real upstream snapshot and inspect the resulting catalog assessment records. Source capture dates remain in the input; this example does not fetch a new upstream scrape.
Amazon Catalog Variation Quality Auditorzinin/amazon-catalog-variation-quality-auditor
entityId
found
status
action
+21 fieldsTextNumberBooleanListObject
Input
Max source rows:100
Max results:10
Source records (inline)
title:Logitech MX Master 4 Ergonomic Wireless Mouse with Haptics - Graphite+1
url:https://www.amazon.com/dp/B0FC5SJNQX+1
asin:B0FC5SJNQX+1
originalAsin:B0FC5SJNQX+1
price
inStock:true+1
inStockText:In Stock Only 1 left in stock - order soon.+1
listPrice
brand:Logitech+1
stars:4.3+1
reviewsCount:2019+1
breadCrumbs:Electronics > Computers & Accessories > Computer Accessories & Peripherals > Keyboards, Mice & Accessories > Mice+1
attributes
_exampleProvenance
Output fields
entityId
found
status
action
confidence
partial
evidence
sourceDatasetId
sourceRunId
sourceRowIndexes
sourceCoverage
observedAt
processedAt
reason
error
priceState
canonicalUrl
canonicalUrlSource
stockState
missingAttrs
variantParent
duplicateSourceRowCount
asin
marketScope
price
Sign up on Apify01
Create your Apify account to access the Amazon Catalog Variation Quality Auditor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
