Batch export podcast metadata
Buy podcast metadata that can be viewed in MS Excel or Google Sheets. Best for marketing, PR, sales, journalism, edu, alt data for finance, AI / machine learning / large language model...
You will get data in CSV or SQLite files.
Check out
sample data and all available data fieldsyou can get.
Different ways to export data
ALL PODCASTS
Export large volumes of podcast metadata to a SQLite file. Subscribe to future updates.
Contact Sales
Enterprise Sales
BY CATEGORY
Batch export all podcasts in specific countries, languages or genres.
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Self-service
BY PLAYLIST
Batch export podcast or episode meta data by Listen Later playlists.
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Self-service
BY APPLE PODCASTS IDS
Batch export podcast meta data by Apple Podcasts IDs.
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Self-service
BULK TRANSCRIPTION
Transcribe large volumes of podcast audio to text. Our concierge service handles the hard work.
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Enterprise Sales
Listen Notes by Numbers
3,789,954
PODCASTS *
191,487,802
EPISODES
38,348,585
SEARCHES
461,097,531
LISTENS
* Some websites or apps claim to have over 3,789,954 podcasts in their database. However, they often inflate these numbers by including: 1) Podcasts that were deleted long ago. 2) Very low-quality content, such as feeds with no episodes, just a short test clip, or AI-generated audio. 3) Non-audio content, like RSS feeds containing only PDFs. In contrast, we use 24/7 automated scripts and human moderators to ensure our database includes genuine, human-crafted podcasts, not AI-generated junk.
Terms of Sale
For "BY KEYWORD",
"BY CATEGORY",
"BY PLAYLIST",
and "BY APPLE PODCASTS IDS" (Self-service).
"ALL PODCASTS" has different Terms of Sale (Enterprise Sales).
All sales are final
No refunds.
Data Quality
The data is provided "as is" and "as available" without warranties of any kind.
Listen Notes does not guarantee that each data point includes every attribute listed on listennotes.com/podcast-datasets/fields/.
Some data points may be missing attributes such as email, Spotify URL, or Listen Score.
Listen Notes also does not guarantee the accuracy, completeness, or timeliness of the data.
You are responsible for verifying the data before use.
Use of the Data
There are no limitations on using the data, except that you cannot use it in any infringing,
defamatory, harmful, fraudulent, illegal, deceptive, threatening, harassing, or obscene way.
Redistribution of Data
You may publish, share, and distribute analysis and aggregate statistics derived from the data.
You agree to notify Listen Notes if research based on the data becomes publicly available.
Except as otherwise expressly stated here, you may not license, sublicense, sell, offer to sell,
distribute, or otherwise provide Listen Notes data to third parties.
Datasets FAQs
1. I just want to search for a few specific podcasts or episodes by topics. Do you have a user-friendly web UI? 🔗
Yes. Listen Notes is a podcast search engine. Similar to how you use Google, please visit the home page of our website and search podcasts / episodes by topics or people.
2. Can I buy a customized dataset or even the entire podcast database? Can we subscribe to future database updates? 🔗
Yes. Check this out
3. How to open a CSV file on my computer? 🔗
If you have difficulty opening a CSV file on your computer, you can import into Microsoft Excel or import into Google Sheets.
4. Where can I find my past orders? 🔗
It's on the PAST ORDERS page.
5. Before buying data, do I need to join the Premium Membership? 🔗
No. If you want to buy podcast metadata on this page, you don't need to join the Premium Membership.
To buy podcast metadata, you just pay a one-time fee for each data download. That's it. No need to subscribe to anything. No need to pay recurring fees.
6. Can I get Apple Podcasts Reviews? 🔗
No. We don't and we can't sell Apple Podcasts Reviews, because that's Apple's proprietary data. However, you can easily fetch Apple Podcasts Reviews via Apple's own urls.
Example - Here's the url to get Apple Podcasts Reviews for the podcast with the Apple Podcasts ID 1330329512:
https://itunes.apple.com/us/rss/customerreviews/id=1330329512/sortby=mostrecent/json
You can get Apple Podcasts IDs from our podcast search engine website, podcast api, or podcast datasets. Once you get Apple Podcasts IDs, it's trivial to get reviews.
7. How can I avoid double purchasing metadata for the same podcast? 🔗
By default, we already exclude the same metadata that exist in your previous orders. So you won't purchase the same data again.
But in case you want the updated version of the same podcast data, you can turn off the filter "Exclude podcasts in past orders".