Metaworld Data Cleaner
Pricing
from $1.25 / 1,000 results
Metaworld Data Cleaner
Messy CSV in — validated, deduplicated, typed records out, with a data-quality report naming every rejected row and why.
Pricing
from $1.25 / 1,000 results
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Metaworld Systems
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11 days ago
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Messy CSV in → validated, deduplicated, normalized records out — with a data-quality report that names every rejected row and why.
Small-business data is never clean. This Actor is the boring, reliable step you actually want before anything touches your CRM, ledger, or dashboard: it validates, normalizes, and deduplicates a CSV, then hands you a clean dataset plus a report you can show a stakeholder.
Built and maintained by Metaworld Systems.
What it does
- Normalizes every field — trims whitespace, strips control characters, and standardizes dates (
YYYY-MM-DD), phone numbers ((727) 450-9666), and currency (1234.50) based on the column name. - Validates rows against required columns you choose — anything missing a required value is rejected, not silently dropped.
- Deduplicates on a key column, with optional latest-wins survivorship using a timestamp column.
- Reports — a quality report is written to the key-value store (
QUALITY_REPORT) with row counts and reasons for up to the first 1,000 rejected rows; a truncation flag is set if more were rejected.
Input
| Field | Description |
|---|---|
csvUrl | Public URL of a CSV to clean. |
csvText | Or paste raw CSV (with a header row). |
requiredColumns | Rows missing any of these are rejected. |
dedupeKey | Column used to detect duplicates (optional). |
timestampColumn | When deduping, keep the newest row by this column. |
Provide either csvUrl or csvText.
Output
- Dataset — one item per cleaned, validated, deduplicated row (export as CSV, JSON, or Excel).
- Key-value store
QUALITY_REPORT—rows_in,rows_cleaned,rows_rejected, up to 1,000 rejected rows with reasons, andrejected_detail_truncated.
Example
Input csvText:
order_id,customer,order_date,amount,phone1001, Acme Co ,2026-1-3,"$1,299.00",72745096661001,Acme Co,01/03/2026,1299,(727) 450-96661002,,2026-02-15,89.5,555 123 4567
With requiredColumns=["order_id","customer"], dedupeKey="order_id", timestampColumn="order_date":
- Row 1002 is rejected (missing
customer). - The two
1001rows collapse to one (latest-wins). - Dates become
2026-01-03, amount becomes1299.00, phone becomes(727) 450-9666.
Why this one
The value is the report that tells you which rows failed and why, so you can review and correct the data before downstream use.
Metaworld does not copy run input or output outside the Actor's Apify storages. Your Apify account settings and Apify's terms control platform storage, retention, and access.
Configured required, deduplication, and timestamp columns must exist in the header. A row with a blank deduplication key is rejected so unrelated blank-key rows are never collapsed together. Remote CSV input must use a public HTTP(S) URL; literal private and local addresses are rejected.