iHeart DatasetFree Dataset
Access comprehensive datasets containing thousands of iHeart radio station profiles with call letters, frequencies, formats, market data, audience metrics, and historical programming changes. Our curated datasets cover the full iHeart network across AM, FM, HD Radio, and digital-only broadcasts.
Accelerate your radio industry research with pre-processed iHeart data including station plays history, format change tracking, and audience reach estimates. Perfect for media planners, music industry analysts, and researchers studying US broadcast radio trends.
Free Dataset License
This dataset is available for free under a Research License. By accessing this data, you agree to:
- Use the data for research and non-commercial purposes only
- Provide attribution with a link to Rebrowser when publishing or sharing results
What's included: Data older than 14 days and up to 1 year old is available for free. The most recent 14 days of data requires a paid plan.
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Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
3,668 records33 fieldsUpdated about 14 hours ago
Comprehensive data on iHeart radio stations including call letters, frequencies, formats, markets, genres, streaming URLs, and social media profiles.
182,795,253 records9 fieldsUpdated about 6 hours ago
Real-time track play history from iHeart stations. Includes song title, artist, album, duration, and precise playback timestamps.
iHeart Dataset Use Cases
Media Planning Intelligence
Build data-driven radio advertising plans using station audience metrics, format coverage, and geographic reach across the iHeart network. Identify optimal station mixes for target demographics and compare market-level radio landscapes.
Music Industry Analytics
Analyze radio airplay patterns, track spin counts for artists and songs, and measure radio promotion ROI using historical play data across thousands of stations. Benchmark releases against competitors within specific formats.
Radio Market Research
Study format distribution, ownership patterns, and competitive dynamics across US radio markets. Track industry consolidation trends, format migration patterns, and market-level station density over time.
Audio Platform Development
Build radio aggregator apps, streaming directories, and media dashboards using structured station profiles with streaming endpoints, logos, and real-time now-playing data. Daily data refreshes ensure content accuracy.
Advanced iHeart Web Scraper Available Now!
Get real-time iHeart data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from iHeart
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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iHeart Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use iHeart dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
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, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides a comprehensive database of thousands of iHeart radio stations across AM, FM, HD Radio, and digital-only broadcasts. Each station includes call letters, frequency, format, market, genre, audience metrics, and more. You can browse the data online, filter by any field, and export in CSV, JSON, XLSX, Parquet, or NDJSON.
The dataset includes weekly cumulative audience estimates (cume) for radio stations, representing estimated unique weekly listeners. You can sort stations by audience size, compare reach across markets, and filter by format or geography to find the highest-rated stations in any segment.
The Station Plays entity records every track played across iHeart stations in near real-time — song title, artist, album, duration, and precise timestamp. You can monitor airplay for specific songs or artists, track how quickly new releases enter rotation, and compare spins across stations and formats.
Record labels and artist managers use the Station Plays data to track spin counts for new releases across the iHeart network. You can see which stations picked up a song first, how spins ramp up over time, which formats are driving the most plays, and how a release compares to competing tracks.
The iHeart network alone includes thousands of stations spanning FM, AM, HD Radio (HD2/HD3/HD4), and digital-only streams. This dataset covers the full iHeart lineup with detailed profiles for each station. You can filter by band type, state, or format to count stations in any segment.
Each station record includes live streaming endpoints — HLS, Shoutcast/AAC, and PLS URLs. These are useful for building radio aggregator apps, monitoring stream availability across the network, or integrating live radio feeds into media platforms.
You can filter the stations dataset by format or genre to get a complete list of Country stations with their call letters, frequencies, markets, and audience data. The same works for any format — News & Talk, Sports, Top 40 & Pop, Classic Rock, Hip Hop, and dozens more.
The dataset includes market-level geographic data for every station — city, state, and market name. You can filter to get all stations in a specific state like California or Texas, or drill down to a city-level market to analyze the local radio landscape.
Each station record includes a provider/owner field, and ownership changes are tracked over time. You can filter by provider to see a group's full station portfolio, or query the change history to identify recent ownership transfers and consolidation patterns across the industry.
The dataset tracks changes to key station fields over time, including format, genre, name, and ownership. When a station flips from one format to another — like Rock to Country — the change is recorded with timestamps, letting you monitor format trends across the industry.
Format is the industry-standard programming category used for FCC classification and ad buying (e.g., NEWSTALK, CHRPOP, COUNTRY). Genre is a more granular content label used for listener discovery (e.g., "Classic Rock", "Top 40 & Pop"). A station has one format but may be tagged with multiple genres.
Media planners use this dataset to identify high-reach stations by format and market, compare audience sizes across geographies, select stations that match their target demographics, and build media plans with audience-weighted station lists. The combination of audience metrics, format data, and market detail makes it a practical tool for radio ad planning.
Station records include social media handles for Facebook, Twitter/X, Instagram, and TikTok. These are tracked over time, so you can audit social presence across the radio industry, identify stations with strong social followings, or build outreach lists for influencer campaigns.
Each licensed broadcast station in the dataset includes its FCC Facility ID, linking it directly to the official FCC record. This lets you cross-reference with FCC filings, verify broadcast licenses, and look up technical specifications like transmitter power and coverage area.
The Station Plays data includes precise timestamps and track durations for every play. You can measure how many unique artists a station plays per day, compare playlist overlap between stations in the same format, detect dayparting patterns, and analyze whether stations favor deep catalogs or tight rotations.
You can filter and sort stations by market, format, and audience size to compare competitive landscapes across cities and states. For example, compare all Top 40 stations in New York vs. Los Angeles by audience reach, or analyze which markets have the most Sports radio stations.
Cume (cumulative audience) is the estimated number of unique listeners who tune into a station during a given week. It's the standard industry metric for measuring station reach. This dataset includes cume data for iHeart stations, sortable and filterable so you can rank stations by audience size.
The dataset provides everything needed to build a radio directory: station names, call letters, frequencies, formats, genres, market locations, logos, streaming URLs, and social links. Data is updated daily and available via API or bulk export, making it easy to keep an app current.
By analyzing the Station Plays history over time, you can identify seasonal programming patterns — holiday music rotations, summer hits, sports season content shifts, and how stations adjust playlists around major events. Historical data going back months enables long-term trend analysis.
The dataset includes a band field (AM, FM, HD2, HD3, HD4, FL for digital-only) for every station. You can filter to compare AM and FM station counts by market, analyze format distribution differences between bands, or focus on HD Radio or digital-only stations specifically.
