Podcastquery publishes research reports on podcasts, podcast hosting platforms, publishers and Apple's podcast charts, with the data behind each report.

This repository holds copies of the datasets published on https://podcastquery.com. Each folder under data/ matches one research post.

Dataset	Rows	What it counts	Research post	CSV
anchor-hosts-40-percent-of-podcasts-15-percent-of-apple-charts	1,477	Podcast hosting platforms in the Podcast Index and on Apple's top-100 charts	Anchor hosts 40% of all podcasts and 15% of Apple's top-100 charts	chart_shows.csv hosts.csv storefronts.csv
goalhanger-holds-44-apple-chart-slots-more-than-iheart-and-spotify	2,838	Apple top-100 chart slots by publisher and parent company	Goalhanger holds 44 Apple chart slots, more than iHeartMedia and Spotify together	goalhanger_shows.csv parents.csv slots.csv storefront_publishers.csv
how-many-podcasts-are-there	562	How many podcasts are there, really	4.7 million podcasts exist. 437,693 published an episode in the last 90 days	buckets.csv buckets_by_cohort.csv buckets_by_host.csv classifier_patterns.csv cohort_2025_by_host.csv how_many.csv spreaker_el_podcast_de_monthly.csv spreaker_stub_authors.csv spreaker_stub_languages.csv stub_patterns.csv
spreaker-passed-anchor-in-new-podcasts-in-2025	413	New podcast feeds by hosting platform and start year	Spreaker passed Anchor in 2025; 73% of its new feeds hold 3 or fewer episodes	cohort_2020_by_category.csv cohort_2025_by_category.csv cohorts_all.csv language_2025.csv new_feeds_by_host_year.csv
true-crime-is-half-a-percent-of-podcasts-and-7-percent-of-apple-charts	1,917	Apple podcast categories: feeds in the Podcast Index against shows on Apple's top-100 charts	True crime is 0.5% of active podcasts and 7% of Apple's charts. Religion is 14% and 1.5%	category_by_storefront.csv category_shares.csv chart_shows_by_category.csv true_crime_chart_shows.csv

Rows are summed over the CSV files in a dataset. Each dataset folder from the site carries its own README.md (columns) and METHOD.md (how it was counted).

Load it

The podcastquery Python package fetches each CSV from https://podcastquery.com. It uses only the standard library; pandas is used if installed.

# pip install podcastquery
import podcastquery

podcastquery.list_datasets()
podcastquery.files("anchor-hosts-40-percent-of-podcasts-15-percent-of-apple-charts")
rows = podcastquery.load("anchor-hosts-40-percent-of-podcasts-15-percent-of-apple-charts", file="chart_shows.csv")  # list of dicts
df = podcastquery.load("anchor-hosts-40-percent-of-podcasts-15-percent-of-apple-charts", file="chart_shows.csv", as_frame=True)  # pandas DataFrame

Or read the copy in this repository with pandas:

import pandas as pd

df = pd.read_csv("https://raw.githubusercontent.com/podcastquery/podcastquery-data/main/data/anchor-hosts-40-percent-of-podcasts-15-percent-of-apple-charts/chart_shows.csv")

Citation

Podcastquery (2026). Podcastquery research datasets. https://podcastquery.com. Licensed CC BY 4.0.

Cite the research post when you use one dataset. CITATION.cff holds the same details.

License

Data in data/: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Credit Podcastquery and link to https://podcastquery.com.

Code in src/ and tests/: MIT.

Both texts are in LICENSE.