iHeart Radio Stations & Airplay Dataset

  

Thousands of US and Mexico radio station profiles with audience metrics, streaming URLs, and real-time airplay tracking.

The iHeart dataset on Rebrowser is free — but GitHub has file size and storage limits, so this repo contains a limited sample. For the full dataset (188.7M records, updated daily), visit rebrowser.net/products/datasets/iheart.

This dataset contains 2 entities, each in its own folder: Radio Stations (stations), Station Plays (station-plays). See below for a full field breakdown, sample counts, and data distributions for each.

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Radio Stations

iHeart radio stations with call letters, frequencies, formats, market data, audience metrics, and streaming endpoints.

3,671 total records from 2025-12-28 to 2026-02-22, 3,667 rows in this sample (99.9% of full dataset). Exported as a single file, overwritten daily.

Field	Type	Fill Rate	Description
_primaryKey	string	100%	Unique identifier for this record
_firstSeenAt	datetime	100%	First time this record was seen
_lastSeenAt	datetime	100%	Last time this record was updated
stationId	string	100%	iHeart station ID (numeric string)
name	string	100%	Station display name
description	string	100%	Station tagline or description
callLetters	string	100%	FCC call letters with band suffix
band	string	100%	Broadcast band (FM, AM, FL for digital, HD2/HD3/HD4 for HD radio)
frequency	string	70%	Broadcast frequency. Null for digital-only stations
format	string	78%	Station format
provider	string	100%	Station owner or network
cume 🔒	float	64%	Cumulative weekly audience estimate
country	string	100%	Country code
marketId	string	100%	Primary market ID
marketName	string	100%	Primary market name
marketCity	string	100%	Primary market city
marketState	string	100%	State abbreviation
primaryGenreId	float	100%	Primary genre ID
primaryGenreName	string	100%	Primary genre name
genres	array	100%	All genres with id, name, and primary flag
logoUrl 🔒	string	100%	Station logo URL
website	string	62%	Station website URL
link	string	100%	iHeart direct play link
fccFacilityId	string	26%	FCC facility ID for licensed broadcast stations
rds	string	16%	RDS (Radio Data System) hex code for FM broadcast
streamingPlatform	string	61%	Streaming platform (revma, triton)
hlsStreamUrl 🔒	string	42%	Secure HLS stream URL
shoutcastStreamUrl 🔒	string	78%	Secure Shoutcast/AAC stream URL
plsStreamUrl 🔒	string	22%	PLS playlist stream URL
talkbackEnabled	bool	100%	Station supports talkback/listener interaction
socialFacebook	string	46%	Facebook page handle
socialTwitter	string	41%	Twitter/X handle
socialInstagram	string	19%	Instagram handle
socialTiktok	string	2%	TikTok handle
primaryPronouncement	string	32%	Voice assistant pronunciation text for station name
modifiedAt	datetime	100%	Last modification timestamp from iHeart

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

Top Station Formats (format)

Value	Count	Share
NEWSTALK	413	████░░░░░░░░░░░░░░░░ 18.7%
OTHER	298	███░░░░░░░░░░░░░░░░░ 13.5%
COUNTRY	294	███░░░░░░░░░░░░░░░░░ 13.3%
SPANISH	210	██░░░░░░░░░░░░░░░░░░ 9.5%
CHRPOP	204	██░░░░░░░░░░░░░░░░░░ 9.2%
Prov_Cumulus	200	██░░░░░░░░░░░░░░░░░░ 9.1%
SPORTS	176	██░░░░░░░░░░░░░░░░░░ 8.0%
ACMAINSTREAM	148	█░░░░░░░░░░░░░░░░░░░ 6.7%
CLASSICHITS	141	█░░░░░░░░░░░░░░░░░░░ 6.4%
ROCKCLASSIC	125	█░░░░░░░░░░░░░░░░░░░ 5.7%

Band Distribution (AM/FM/HD/Digital) (band)

Value	Count	Share
FM	1,930	███████████░░░░░░░░░ 52.6%
FL	868	█████░░░░░░░░░░░░░░░ 23.6%
AM	603	███░░░░░░░░░░░░░░░░░ 16.4%
HD2	194	█░░░░░░░░░░░░░░░░░░░ 5.3%
HD3	61	░░░░░░░░░░░░░░░░░░░░ 1.7%
PR	9	░░░░░░░░░░░░░░░░░░░░ 0.2%
HD4	6	░░░░░░░░░░░░░░░░░░░░ 0.2%

Top Genres (primaryGenreName)

Value	Count	Share
US Partner Digital	428	███░░░░░░░░░░░░░░░░░ 15.2%
News & Talk	423	███░░░░░░░░░░░░░░░░░ 15.0%
Country	395	███░░░░░░░░░░░░░░░░░ 14.0%
Top 40 & Pop	345	██░░░░░░░░░░░░░░░░░░ 12.2%
Sports	270	██░░░░░░░░░░░░░░░░░░ 9.6%
Oldies	237	██░░░░░░░░░░░░░░░░░░ 8.4%
Spanish	227	██░░░░░░░░░░░░░░░░░░ 8.0%
Hip Hop and R&B	176	█░░░░░░░░░░░░░░░░░░░ 6.2%
Classic Rock	170	█░░░░░░░░░░░░░░░░░░░ 6.0%
Soft Rock	152	█░░░░░░░░░░░░░░░░░░░ 5.4%

Stations by State (marketState)

Value	Count	Share
states/US-NAT	713	███████░░░░░░░░░░░░░ 34.5%
CA	242	██░░░░░░░░░░░░░░░░░░ 11.7%
TX	231	██░░░░░░░░░░░░░░░░░░ 11.2%
FL	213	██░░░░░░░░░░░░░░░░░░ 10.3%
OH	156	██░░░░░░░░░░░░░░░░░░ 7.6%
PA	128	█░░░░░░░░░░░░░░░░░░░ 6.2%
NY	119	█░░░░░░░░░░░░░░░░░░░ 5.8%
GA	103	█░░░░░░░░░░░░░░░░░░░ 5.0%
TN	82	█░░░░░░░░░░░░░░░░░░░ 4.0%
AL	79	█░░░░░░░░░░░░░░░░░░░ 3.8%

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Station Plays

Real-time track play log for iHeart stations — every song played with artist, title, timestamp, and station.

188,714,349 total records from 2015-08-30 to 2026-02-22, up to 600,000 rows in this sample (0.32% of full dataset). Exported as one file per day, up to 10,000 rows each, last 60 days retained.

Field	Type	Fill Rate	Description
_primaryKey	string	100%	Unique identifier for this record
playedAt	datetime	100%	Start time of track playback (UTC)
_lastSeenAt	datetime	100%	Last time this record was updated
stationId	string	100%	iHeart station ID (numeric string)
title	string	100%	Track/song title
artist	string	100%	Artist name(s), may include featured artists
album	string	18%	Album title
durationSeconds	float	18%	Track duration in seconds
trackId	float	100%	iHeart track ID
artistId	float	18%	iHeart artist ID
albumId	float	18%	iHeart album ID
stationName	string	—	Station name (from stations table)
stationFormat	string	—	Station format (from stations table)
stationState	string	—	Station state (from stations table)
stationPrimaryGenreName	string	—	Station primary genre (from stations table)

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Pre-built Views on Rebrowser

Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:

Radio Stations

Radio Stations with Audience Metrics — 3,667 records

↳ [{"field":"cume","op":"gt","value":0},{"sort":"cume DESC"}]

Oldies Radio Stations — 237 records

↳ [{"field":"primaryGenreName","op":"is","value":"Oldies"},{"sort":"cume DESC"}]

News & Talk Radio Stations — 422 records

↳ [{"field":"primaryGenreName","op":"is","value":"News & Talk"},{"sort":"cume DESC"}]

Country Music Radio Stations — 395 records

↳ [{"field":"primaryGenreName","op":"is","value":"Country"},{"sort":"cume DESC"}]

Sports Radio Stations — 270 records

↳ [{"field":"primaryGenreName","op":"is","value":"Sports"},{"sort":"cume DESC"}]

See all 26 views →

Station Plays

Recent Radio Track Plays — 180,184,177 records

↳ [{"sort":"playedAt DESC"}]

Track Plays with Album Metadata — 25,972,070 records

↳ [{"field":"album","op":"isNotEmpty"},{"sort":"playedAt DESC"}]

Country Radio Airplay Data — 29,110,186 records

↳ [{"field":"stationPrimaryGenreName","op":"is","value":"Country"},{"sort":"playedAt DESC"}]

Rock Radio Airplay Data — 13,371,216 records

↳ [{"field":"stationPrimaryGenreName","op":"is","value":"Classic Rock"},{"sort":"playedAt DESC"}]

Long-Form Radio Content (5+ Min) — 2,689,988 records

↳ [{"field":"durationSeconds","op":"gt","value":300},{"sort":"playedAt DESC"}]

See all 27 views →

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Code Examples

import pandas as pd

# ── Stations ────────────────────────────────────────────────────────────────
stations = pd.read_parquet('rebrowser/iheart-dataset/stations/data.parquet')

# Top 10 FM stations in Texas by weekly audience (cume)
texas_fm = stations[(stations['marketState'] == 'TX') & (stations['band'] == 'FM')]
print(texas_fm.nlargest(10, 'cume')[['callLetters', 'frequency', 'format', 'market', 'cume']]
      .to_string(index=False))

# Count stations per format, sorted by frequency
print(stations['format'].value_counts().head(15).to_string())

# All Country-format stations with a cume above 500k
big_country = stations[(stations['format'] == 'COUNTRY') & (stations['cume'] > 500_000)]
print(big_country[['callLetters', 'market', 'cume']].sort_values('cume', ascending=False))

# ── Station Plays ────────────────────────────────────────────────────────────
from pathlib import Path

# Load the last 7 days of airplay
files = sorted(Path('rebrowser/iheart-dataset/station-plays/data').glob('*.parquet'))[-7:]
plays = pd.concat([pd.read_parquet(f) for f in files])

# Most-played artists across the network
print(plays.groupby('artist').size().sort_values(ascending=False).head(20).to_string())

# Spin count for a specific song title
print(plays[plays['title'].str.contains('Blinding Lights', case=False, na=False)]
      .groupby('artist')['title'].count())

# Stations that played the most unique songs
print(plays.groupby('stationId')['trackId'].nunique().sort_values(ascending=False).head(10).to_string())

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Use Cases

Radio Ad Planning

Filter stations by format, market, and audience size to build data-driven media plans. Compare reach across geographies to optimize ad spend.

Airplay Monitoring

Track spin counts for specific songs or artists across the iHeart network. Measure how quickly new releases enter rotation and which formats drive the most plays.

Broadcast Research

Analyze format distribution, ownership patterns, and station density across US markets. Detect format flips, ownership transfers, and programming trends over time.

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Full Dataset on Rebrowser

This repo publishes free research data (14 days freshness lag · up to 10,000 rows per file · up to 1 year of history). The complete, real-time dataset is at rebrowser.net/products/datasets/iheart

On Rebrowser you can:

• Filter before you buy — use the web UI to apply filters on any field and sort by any column. Preview results before purchasing. You only pay for records that match your criteria.
• Export in your format — CSV, JSON, JSONL, or Parquet depending on your plan.
• Access via API — integrate dataset queries into your pipelines and workflows.
• Choose your freshness — plans range from a 14-day lag to real-time data with no delay.
• Select only the fields you need — keep exports lean. Premium fields with richer data are available on higher plans.

Pricing starts at $2 per 1,000 rows with volume discounts.

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License & Terms

Free for research and non-commercial use with attribution. See license terms and how to cite.

@misc{rebrowser_iheart,
  author       = {Rebrowser},
  title        = {iHeart Radio Stations & Airplay Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/iheart}},
  note         = {Accessed: YYYY-MM-DD}
}

Commercial use requires a paid license — see pricing. Use of this data is governed by the Rebrowser Terms of Use, which may be updated at any time independently of this repository.

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Disclaimer

Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by iHeart. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect iHeart user credentials. By using this dataset, you agree to comply with iHeart's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset does not infringe on the rights of any third party.

You can also find this data on Kaggle, HuggingFace, Zenodo.