CSV CATALOG AUDIT

CSV catalog audit for cleaner product exports

Use it to diagnose a source catalog before converting it to a channel-specific export. FeedScore groups repeated row-level errors into practical fixes for your spreadsheet, PIM or ecommerce export.

No account One-time report Public URL only
AUDIT SCOPE

What the CSV catalog audit checks

01

Delimiter and encoding

Delimiter detection, character encoding and byte-order-mark issues.

02

Headers and row shape

Duplicate columns, unexpected headers and inconsistent field counts.

03

Quotes and line breaks

Broken quoting and embedded characters that shift product rows.

04

Unique identifiers

Missing, duplicated or unstable IDs across catalog records.

05

Commerce values

Price, currency, availability and condition normalization.

06

Content coverage

Missing images, thin titles and descriptions, categories and identifiers.

ISSUE PRIORITY

Frequent CSV catalog problems

Fix blockers first, then catalog-wide patterns, and leave isolated optimization opportunities for last.

SignalWhy it mattersRecommended action
Rows have different field countsColumns shift and values map incorrectlyFix delimiters, quotes and embedded line breaks
Duplicate or missing headersExport mapping becomes ambiguousUse one stable schema and unique column names
Mixed price or stock formatsChannel conversion creates invalid valuesNormalize values before export
Duplicate product IDsProducts conflict across updatesCreate persistent source identifiers
HOW IT WORKS

From raw feed to prioritized fixes

1

Share the catalog URL

Provide a public CSV source file without granting access to your store.

2

Review structural errors

Fix parsing, column and row-shape problems before product attributes.

3

Improve catalog coverage

Use the affected-row export to repair content and commerce fields in bulk.

IMPORTANT DISTINCTION

CSV source vs. Merchant Center file

Google documents XML and tab-delimited text as common product data source formats. A CSV audit is most useful for cleaning the upstream catalog before you convert or map it into the exact format required by a destination.

FAQ

Questions about this check

Is CSV the same as a tab-delimited product file?+

No. CSV typically uses commas, while tab-delimited files use tab characters. Both are tables, but the delimiter and escaping rules differ. FeedScore identifies the structure before evaluating product fields.

Can I audit an exported spreadsheet?+

Yes, if it is available as a public CSV URL. Native Excel or Google Sheets files are outside the first-release scope unless exported to CSV.

Does the audit detect duplicate products?+

It detects duplicate identifiers and can flag exact or near-duplicate content signals. Determining whether two distinct IDs represent the same real product may still require a human decision.

Can the report help my developer?+

Yes. Findings are grouped by root cause and include affected rows, making it easier to repair the export mapping rather than editing products one by one.

METHODOLOGY & SOURCES

Built around documented feed requirements

Our public guidance is checked against first-party documentation. FeedScore adds independent data-quality checks and does not represent a platform approval decision.