
All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide
# | title |
artwork_image |
artwork_thumbnail |
listen_score |
listen_score_global_rank |
rss |
publisher |
description |
language |
country |
email |
website |
episode_count |
audio_length_seconds |
update_frequency_hours |
latest_episode_pub_date |
earliest_episode_pub_date |
has_guest_interviews |
has_sponsors |
itunes_id |
twitter |
instagram |
patreon |
wechat |
facebook |
amazon_music |
spotify |
youtube |
linkedin |
wikipedia |
url1 |
url2 |
url3 |
explicit |
is_complete |
type |
imported_time |
genres |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
2 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
5 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
6 | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
7 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx |
8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx |
9 | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx |
10 | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx |
... | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx |
# | episode_title |
podcast_id |
audio_url |
audio_length_seconds |
pub_date |
country |
language |
|
---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx |
2 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
3 | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
4 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
5 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
6 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
7 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
9 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
10 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
... | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 01fae0f8fd2948f39dfd59890f643d94 | UID | |
title
|
String | The Moth | |
artwork_image
|
String | https://cdn-images-3.listennotes.com/podcasts/the-moth-th... | |
artwork_thumbnail
|
String | https://cdn-images-3.listennotes.com/podcasts/the-moth-th... | |
listen_score
|
Integer | 80 | |
listen_score_global_rank
|
String | 0.01% | |
rss
|
String | http://feeds.feedburner.com/themothpodcast | |
publisher
|
String | The Moth | |
description
|
String | On Tuesdays and Fridays The Moth’s podcast feed presents ... | |
language
|
String | English | |
country
|
String | United States | |
email
|
String | ||
website
|
String | http://themoth.org/ | |
episode_count
|
Integer | 467 | |
audio_length_seconds
|
Integer | 2571 | |
update_frequency_hours
|
Integer | 98 | |
latest_episode_pub_date
|
DateTime | 2025-05-27T04:25:00+00:00 | |
earliest_episode_pub_date
|
DateTime | 2019-10-22T20:00:00+00:00 | |
has_guest_interviews
|
Integer | 0 | |
has_sponsors
|
Integer | 1 | |
itunes_id
|
Integer | 275699983 | |
twitter
|
String | TheMoth | |
instagram
|
String | ||
patreon
|
String | ||
wechat
|
String | ||
facebook
|
String | TheMoth | |
amazon_music
|
String | ||
spotify
|
String | https://open.spotify.com/show/5UKrcYdaGbq10z97yqi81N | |
youtube
|
String | ||
linkedin
|
String | ||
wikipedia
|
String | ||
url1
|
String | ||
url2
|
String | ||
url3
|
String | ||
explicit
|
Integer | 0 | |
is_complete
|
Integer | 0 | |
type
|
String | episodic | |
imported_time
|
DateTime | 2016-12-19T02:16:17+00:00 | |
genres
|
String | Arts,Performing Arts,Comedy,True Crime,Storytelling |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | db629c2a4c9b42cc86d8173ef4d311ef | UID | |
episode_title
|
String | The Moth Radio Hour: Who's Got Your Back? | |
podcast_id
|
String | 01fae0f8fd2948f39dfd59890f643d94 | |
audio_url
|
String | https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/chrt.f... | |
audio_length_seconds
|
Integer | 3495 | |
pub_date
|
DateTime | 2025-05-27T04:25:00+00:00 | |
country
|
String | United States | |
language
|
String | English |
Description
Country Coverage
History
Volume
3.5 million | podcasts |
177 million | episodes |
35 | data attributes |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide?
Access the most up-to-date, comprehensive podcast audio database, with 35+ rich data attributes for podcasts and all audio urls with over 24,000 years! Our meticulously curated dataset guarantees top-tier quality by excluding AI-generated and fake shows. Delivered in the SQLite database format.
What is All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide used for?
This product has 5 key use cases. Listen Notes recommends using the data for Public Relations (PR), Alternative Investment, Lead Data Enrichment, Speech Recognition, and LLM Training. Global businesses and organizations buy Alternative Data from Listen Notes to fuel their analytics and enrichment.
Who can use All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative Data. Get in touch with Listen Notes to see what their data can do for your business and find out which integrations they provide.
How far back does the data in All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide go?
This product has 20 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Listen Notes is headquartered in United States of America.
How much does All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide cost?
Pricing information for All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide is available by getting in contact with Listen Notes. Connect with Listen Notes to get a quote and arrange custom pricing models based on your data requirements.
How can I get All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide?
Businesses can buy Alternative Data from Listen Notes and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Listen Notes can deliver this product in .csv, .sql, and .json format.
What is the data quality of All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide?
You can compare and assess the data quality of Listen Notes using Datarade’s data marketplace.
What are similar products to All Podcast Audio - Metadata for 3.5m podcasts & 176m episodes worldwide?
This product has 3 related products. These alternatives include Podcast Database - Complete Podcast Metadata, All Countries & Languages, Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records, and Email Address Data 230+ Million Verified Personal & Business Email Address Data Global Email Coverage. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.