Name: Top Spotify Podcast Episodes (Daily Updated)
Creator: Kaggle
License: https://opendatacommons.org/licenses/by/1-0/index.html

About this Dataset

Top Spotify Podcast Episodes (Daily Updated)

This dataset contains daily snapshot of Spotify's top 200 podcast episodes for every country. It also includes detailed information about podcast episodes and shows from Spotify API.

DAILY DATA COLLECTION STARTED ON 2025-10-11

There is also some historical data:
2024-09-02 - 2024-10-23

Please upvote if you found it useful 😃

By analyzing this data, you can uncover insights such as:

Trending Podcasts: Discover the most popular podcast episodes in different regions.
Cultural Preferences: Compare podcast popularity to understand cultural influences on podcast consumption.
Trend Analysis: Track how podcast rankings change over time to identify emerging trends.
Content Analysis: Dive into episode metadata for sentiment analysis, topic modeling, or genre classification.

Spotify Regions:
Argentina 🇦🇷 ("ar")
Australia 🇦🇺 ("au")
Austria 🇦🇹 ("at")
Brazil 🇧🇷 ("br")
Canada 🇨🇦 ("ca")
Chile 🇨🇱 ("cl")
Colombia 🇨🇴 ("co")
France 🇫🇷 ("fr")
Germany 🇩🇪 ("de")
India 🇮🇳 ("in")
Indonesia 🇮🇩 ("id")
Ireland 🇮🇪 ("ie")
Italy 🇮🇹 ("it")
Japan 🇯🇵 ("jp")
Mexico 🇲🇽 ("mx")
New Zealand 🇳🇿 ("nz")
Philippines 🇵🇭 ("ph")
Poland 🇵🇱 ("pl")
Spain 🇪🇸 ("es")
Netherlands 🇳🇱 ("nl")
United Kingdom 🇬🇧 ("gb")
United States 🇺🇸 ("us")

Source: https://podcastcharts.byspotify.com/

Spotify API used to enrich the source: https://developer.spotify.com/documentation/web-api/reference/get-an-episode

Code: https://github.com/Woys/Spotify-Podcasts-Airflow-Batch

Tables

Top Podcasts

@kaggle.daniilmiheev_top_spotify_podcasts_daily_updated.top_podcasts

391.91 MB
506,000 rows
18 columns

CREATE TABLE top_podcasts (
  "date" TIMESTAMP,
  "rank" BIGINT,
  "region" VARCHAR,
  "chartrankmove" VARCHAR,
  "episodeuri" VARCHAR,
  "showuri" VARCHAR,
  "episodename" VARCHAR,
  "description" VARCHAR,
  "show_name" VARCHAR,
  "show_description" VARCHAR,
  "show_publisher" VARCHAR,
  "duration_ms" DOUBLE,
  "explicit" VARCHAR,
  "languages" VARCHAR,
  "release_date" TIMESTAMP,
  "release_date_precision" VARCHAR,
  "show_media_type" VARCHAR,
  "show_total_episodes" DOUBLE
);