Batch export podcast metadata
Kaufen Sie Podcast-Metadaten, die in MS Excel oder Google Sheets angezeigt werden können. Am besten für Marketing, PR, Vertrieb, Journalismus, Edu, Alt-Daten für Finanzen ...
You will get data in CSV or SQLite files.
Check out
sample data and all available data fields
you can get.
Different ways to export data
ALLE PODCASTS
Export large volumes of podcast metadata to a SQLite file.
Subscribe to future updates.
Contact Sales
Enterprise Sales
NACH STICHWORT
Suchen und exportieren Sie Podcasts oder Episoden mit Schlüsselwörtern.
Buy data now
Self-service
NACH KATEGORIE
Batch-Export aller Podcasts in bestimmten Ländern, Sprachen oder Genres.
Buy data now
Self-service
BY PLAYLIST
Batch export podcast or episode meta data by Listen Later playlists.
Buy data now
Self-service
BY ITUNES IDS
Batch-Export von Podcast-Metadaten nach iTunes-IDs. Or Apple Podcasts IDs.
Buy data now
Self-service
BULK TRANSCRIPTION
Transcribe large volumes of podcast audio to text.
Our concierge service handles the hard work.
Contact Sales
Enterprise Sales
Listen Notes in Zahlen
3,627,392
PODCASTS *
182,504,685
EPISODEN
33,925,863
SUCHEN
388,817,282
AUFRUFE
* Some websites or apps claim to have over 3,627,392 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 ITUNES 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 any warranties of any kind.
Listen Notes does not guarantee that each data point will include all attributes listed on listennotes.com/podcast-datasets/fields/.
Some data points may be missing certain attributes (e.g., email, Spotify URL, Listen Score, etc.).
Additionally, Listen Notes 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 the data 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 in the event that any research based on the data becomes publicly
available.
Except as otherwise expressly set forth herein, you may not license, sublicense, sell, offer to
sell,
distribute or otherwise provide any Listen Notes data to any 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 (iTunes 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 (iTunes id)
1330329512:
https://itunes.apple.com/us/rss/customerreviews/id=1330329512/sortby=mostrecent/json
You can get Apple Podcasts IDs (iTunes IDs) from our
podcast search engine website,
podcast api,
or podcast datasets.
Once you get Apple Podcast IDs (iTunes 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".