Pricing

from $0.50 / 1,000 results

Try for free

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Dataset Profiler — Data Quality QA

Try for free

Profile any Apify dataset into a per-column report: inferred type, type consistency, null rate, distinct count, uniqueness, value ranges, and top values — plus duplicate-row and empty-column detection. QA any scrape before you trust it.

Pricing

from $0.50 / 1,000 results

Rating

0.0

(0)

Developer

alaudin burki

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

What you get

Field	Description
`column`	Column
`inferredType`	Inferred Type
`typeConsistency`	Type Consistency
`filled`	Filled
`nulls`	Nulls
`nullRate`	Null Rate
`distinct`	Distinct
`unique`	Unique

How to use it

Fill in the input (see the example below).
Run it once for a snapshot, or schedule it to keep the data fresh.
Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

Input

{
  "items": []
}

Sample output

[
{
  "column": "example",
  "inferredType": "example",
  "typeConsistency": "example",
  "filled": "example",
  "nulls": "example",
  "nullRate": 3.14,
  "distinct": "example",
  "unique": "example"
}
]

Typical uses

QA a scrape — spot empty/mistyped columns before using the data.
Pick key fields — see which columns are unique (good dedup keys) or high-null.
Monitor drift — schedule and watch nullRate/typeConsistency change over time.

Pricing

$0.50 / 1,000 results ($0.0005 per result), plus a near-zero start fee. You are never charged beyond your limit, and blocked or failed items are reported honestly — not billed as data.

FAQ & limitations

Public data only — no login walls, no cookies required.
Rate limits on the source may require the proxy or a retry on very large pulls.
Every row reports its own status, so partial results are always labeled, never faked.
Integrations: output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
Formats: results export as JSON, CSV, Excel, or HTML from the dataset.

Format Converter
Dataset Profiler
Dataset → Google Sheets

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