Dataset Quality Auditor

Your dataset, scored. Not a lorem QA report.

Audit an Apify dataset for empties, dupes and schema drift. Try uses a live catalog dataset. $2 / 1,000 rows.

Last run

10 row(s). First row: Free Returns Coverage

{
  "title": "Free Returns Coverage",
  "productName": "Free Returns Coverage",
  "entityName": "Free Returns Coverage",
  "listingName": "Free Returns Coverage",
  "competitorName": "Free Returns Coverage",
  "vendorName": "www.allbirds.com"
}

Run it

Paste this on the Input tab (JSON) and press Start. That is the same input the last-run used.

{
  "sourceMode": "startUrls",
  "outputMode": "buyer-ready-records",
  "maxItems": 10,
  "startUrls": [
    {
      "url": "https://www.allbirds.com/products.json"
    }
  ]
}

What lands in the dataset

• Completeness / dupes / drift
• Live catalog on Try
• Row-level billing

Use it when

Pass a dataset ID, score empties/dupes/drift, fix the Actor before you publish.

Actor builders checking Store last-runs before publish.

Price

$2 / 1,000 dataset rows — you pay $0.002 per billed result. A 10-row Try is about $0.02.

Schedule it. A one-off curiosity click is not the product.

What you should know

• Needs a public or token-accessible dataset.
• Not a legal certification.

FAQ

Is the last-run a fixture? No. The JSON above is from the public source in Run it.

Does it fix the dataset? No. It reports empties, dupes and schema drift.