RSS Feed CSV Validator

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Validate Complete

Validation Report Format
valid rows

Check your RSS feed CSV for broken URLs, missing data, and duplicates before converting to OPML or importing to your reader.

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Download Clean Sample

Valid RSS feed CSV (no errors)

Clean Template

Download Error Sample

CSV with validation errors for testing

Error Example

RSS CSV Validator Validation Questions

What columns should my CSV have?

At minimum, a column with feed URLs named feed_url, xmlUrl, url, or rss_url. The validator also checks optional columns for feed title, site URL, folder, description, and type when present.

What errors does this detect?

The validator checks for missing or empty feed URLs, URLs with invalid protocols like ftp:// or file://, duplicate feed URLs across the file, missing required columns, and completely empty rows.

Can I validate then convert in one step?

Validation and conversion are separate tools. Validate first at this page, fix any errors, then convert at /convert/csv-to-opml. This ensures your OPML output is clean.

How RSS CSV Validator Validation Works

1

Prepare your CSV

Create a CSV with columns: feed_url (required), feed_title, site_url, folder, description, type

2

Export from RSS.app

RSS.app: Profile → Import/Export → Export CSV (columns: xmlUrl, title, description, sourceUrl)

3

Export from spreadsheet

Google Sheets or Excel: File → Download as CSV. Ensure feed URLs are in a column named feed_url or xmlUrl

4

Upload CSV

Upload your RSS/Podcast Subscriptions CSV export file

5

Review Validation Results

Check your Rss data for errors and warnings

Issues are flagged inline with clear fix suggestions — review and correct before you import.

Why Validate RSS CSV Validator Before Import?

Column Detection

Checks for required feed URL column and maps common column names like feed_url, xmlUrl, url automatically.

URL Format Validation

Validates every feed URL starts with http:// or https://. Flags empty URLs and invalid protocols.

Required Field Check

Reports rows with missing feed URLs or empty required fields that would cause conversion failures.

Duplicate Detection

Finds rows with the same feed URL. Shows which rows are duplicates with original row reference.

Browser-Based Privacy

Your feed list processes locally. Data never leaves your computer.

Row-Level Report

Get specific errors with row numbers. Fix issues before converting to OPML or importing.

How People Use RSS CSV Validator

I exported my feed list from a spreadsheet where multiple team members had been adding URLs over two years. The validator found 67 duplicate feed URLs and 14 entries where someone had pasted a regular webpage link instead of an RSS feed URL. Cleaning those out before converting to OPML saved me from importing a bloated subscription list full of dead entries.

Tomas K.
Content Strategist · curates 450 feeds across 12 topic folders

Our master feed spreadsheet had URLs using ftp:// and file:// protocols left over from an old internal system. The OPML converter would have silently included them, producing a subscription file that failed on half the entries in Feedly. The validator flagged every non-HTTP URL with the row number so I could update them to the correct https:// feed addresses.

Rachel H.
Research Librarian · maintains journal feed lists for 3 departments

Why Validate Before Converting

Hidden CSV Errors

Feed lists from spreadsheets often contain errors invisible to the eye. Missing URLs, broken protocols like ftp:// instead of https://, duplicate entries, or empty rows. Converting without validation produces OPML that imports with missing feeds and you will not know which ones failed.

What This Tool Checks

Upload your RSS feed CSV for validation. The tool checks required columns are present, feed URLs are valid HTTP or HTTPS, no required fields are empty, and no duplicate feed URLs exist. Download a detailed error report with row numbers and specific issues to fix.

Your RSS CSV Validator Data Stays Private

Local Processing Engine

Your RSS CSV Validator files stay on your device. Processing happens client-side, nothing leaves your machine.

Zero Server Storage

Your RSS CSV Validator files are never cached, logged, or stored anywhere. Every session is ephemeral.

Privacy-First Architecture

Designed for data sovereignty. No third-party trackers or analytics touch your RSS CSV Validator files.

Common Target Import Errors

Issues you might encounter when importing Source data to Target - and how we solve them

Missing Feed URL

Row has no feed URL value

Empty feed_url column
https://example.com/feed

Add a valid RSS feed URL for each subscription

Fill in missing URLs or remove empty rows

Invalid Feed URL Protocol

Feed URL does not start with http:// or https://

ftp://not-valid.com/feed
https://not-valid.com/feed

Ensure all feed URLs use HTTP or HTTPS protocol

Replace invalid protocols with https://

Duplicate Feed URL

Same feed URL appears in multiple rows

https://example.com/feed (rows 2 and 5)
Remove duplicate row

Each feed URL should appear only once

Remove duplicate entries keeping the first occurrence

More credits - more savings

Buy bundles and get up to 60% off. Perfect for recurring monthly conversions.

Frequently Asked Questions

You can, but free scripts and AI often miss edge cases that break real-world data: missing SKUs, currency formatting quirks, tax calculation errors, or date format mismatches. We have battle-tested validators specifically designed for accounting software imports that catch these issues before they corrupt your books. Plus, you get instant browser-based conversion without installing Python or managing dependencies.
At minimum, a column with feed URLs named feed_url, xmlUrl, url, or rss_url. The validator also checks optional columns for feed title, site URL, folder, description, and type when present.
The validator checks for missing or empty feed URLs, URLs with invalid protocols like ftp:// or file://, duplicate feed URLs across the file, missing required columns, and completely empty rows.
Validation and conversion are separate tools. Validate first at this page, fix any errors, then convert at /convert/csv-to-opml. This ensures your OPML output is clean.
Standard CSV with headers in the first row. The tool accepts comma-separated values and also handles Excel files in .xls, .xlsx, and .xlsm formats.
No. The tool validates URL format and data structure but does not fetch URLs to check if feeds are active.
No hard limit. The tool handles CSV files with thousands of feed entries.
Re-upload the corrected CSV to verify all errors are resolved. Then use the CSV to OPML converter to generate your subscription file.