Remove Duplicates from Podcast Directory and Episode Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Podcast directories and analytics platforms aggregate show and episode data from Apple Podcasts, Spotify, Google Podcasts, and dozens of smaller directories. The same podcast often appears multiple times when a host submits their RSS feed to each directory independently, when a show migrates to a new hosting platform and the old feed remains active, or when a network acquires a previously independent show. dataclean.to identifies duplicate podcast entries by matching show titles, RSS feed URLs, episode titles, and publication dates to clean up directory data.
The Problem
Duplicate podcast listings dilute listener metrics and confuse potential subscribers. A podcast appearing twice in a directory splits its subscriber count, making the show appear less popular than it actually is. Advertisers evaluating shows for sponsorship see misleading download numbers when the same episode is counted across duplicate feed entries. Podcast networks managing portfolios of shows cannot accurately report total reach when acquired shows retain orphaned listings from their pre-acquisition feeds. Directory operators with duplicate entries inflate their catalog count but degrade search quality when users encounter the same show multiple times. Podcast Index open podcast directory
How to Fix It
1
Export podcast directory data
Pull show and episode records from your directory database, analytics platform, or RSS aggregator into CSV format. Include show title, RSS feed URL, host name, episode title, episode publication date, duration, and directory source.
2
Upload to dataclean.to
Upload the CSV. The tool compares show titles, RSS URLs, host names, and episode metadata to identify podcasts and episodes that appear as multiple records across directories or feed migrations.
3
Review duplicate show and episode clusters
Examine flagged groups. Common duplicates include the same show submitted to multiple directories under slightly different titles, old and new RSS feeds for a show that changed hosting providers, and bonus episodes republished under different titles.
4
Merge into canonical podcast entries
Consolidate confirmed duplicates into single show records. Retain the active RSS feed URL, the show title as used on the primary directory, complete episode history, and the combined subscriber count from all sources.
5
Export the clean podcast database
Download the deduplicated data for import into your directory or analytics platform. Clean records provide accurate subscriber counts, reliable download metrics, and a non-redundant catalog for listeners to browse.
Frequently Asked Questions
How does the tool handle podcasts that changed their name?
Show name changes create duplicate entries when old and new names coexist in directories. The tool matches on RSS feed URL and host name in addition to show title, so a podcast that rebranded but kept the same feed is detected as a duplicate of its former listing.
Can it detect the same episode published in multiple feeds?
Yes. When a show has both an old and new RSS feed, episodes from both feeds are matched by title and publication date. This reveals which episodes are duplicated across feeds and helps you retire the orphaned feed.
What about podcast networks that aggregate episodes from multiple shows into a single feed?
Network feeds that republish episodes from member shows create duplicates of the original episode entries. The tool flags episodes with matching titles and dates across different show feeds so you can decide which entry to keep as canonical.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.