iHeart Scraper

Extract comprehensive radio station data from iHeartRadio including station profiles, call letters, frequencies, formats, market coverage, and live streaming endpoints across thousands of AM, FM, HD Radio, and digital-only broadcasts.
Monitor station lineup changes, track programming shifts, and analyze audience metrics with reliable radio industry data extraction. Essential for media planners, music labels, radio aggregators, and researchers studying broadcast radio trends and market dynamics.
  • 96.93% success rate (see success rate graph)
  • Complete station profiles with call letters, frequencies, and FCC Facility IDs
  • Real-time now-playing track data across all iHeart music stations
  • Market-level geographic data with audience reach estimates (cume)
  • Live streaming endpoint URLs including HLS and Shoutcast/AAC
  • Social media handles and station branding assets
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iHeart Scraper API Use Cases

Radio Advertising Planning
Identify high-reach stations by format and market to build audience-weighted media plans. Compare station audience sizes across geographies and match stations to target demographics for campaign optimization.
Music Airplay Monitoring
Track spin counts for new releases across the iHeart network to measure radio promotion effectiveness. See which stations and formats drive the most plays and how airplay ramps up over time.
Radio Aggregator Development
Build radio directory apps and streaming aggregators using comprehensive station profiles with streaming URLs, logos, genres, and market data. Daily updates keep your app current with lineup changes.
Broadcast Industry Research
Analyze format distribution, ownership consolidation, and market competition across the US radio landscape. Track station format flips, ownership transfers, and programming trends over time.

Extractable iHeart Data Points

Rebrowser iHeart Scraper efficiently connects with iHeart unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:

iHeart Scraper Success Rate

The graph below contains real data based on our scraping operations. Latest update was 34 minutes ago.
Ready-to-use iHeart Dataset Available Now!
Access clean, structured iHeart data instantly without building your own scraping infrastructure.
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Millions of iHeart data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports

Sample iHeart API Response Schema

FieldTypeDescriptionExample
call_lettersstringStation call sign assigned by the FCCKIIS-FM
frequencystringBroadcast frequency in MHz (FM) or kHz (AM)102.7
bandstringBroadcast band type (AM, FM, HD2, HD3, HD4, FL)FM
formatstringIndustry-standard programming format codeCHRPOP
genrestringListener-facing genre label for content discoveryTop 40 & Pop
marketstringGeographic market area the station servesLos Angeles, CA
cumenumberEstimated weekly cumulative unique listeners5230000
providerstringStation owner or broadcasting groupiHeartMedia
stream_urlstringLive audio streaming endpoint URLhttps://stream.iheart.com/live/123
now_playing_artiststringCurrently playing track artist nameTaylor Swift

Sample iHeart API Response

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{
  "call_letters": "KIIS-FM",
  "frequency": "102.7",
  "band": "FM",
  "format": "CHRPOP",
  "genre": "Top 40 & Pop",
  "market": "Los Angeles, CA",
  "cume": 5230000,
  "provider": "iHeartMedia",
  "stream_url": "https://stream.iheart.com/live/123",
  "now_playing_artist": "Taylor Swift",
  "now_playing_title": "Anti-Hero",
  "now_playing_album": "Midnights"
}
Devices Available
Profiles Created
Pages Crawled
Success Rate
iHeart Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like iHeart.
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IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.

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Frequently Asked Questions

Rebrowser Web Scraper API is built for enterprise-level scalability, capable of handling millions of requests daily without performance degradation. Our infrastructure automatically scales to accommodate sudden spikes in demand, and our distributed architecture across multiple global regions ensures consistent performance regardless of request volume or complexity.

Our intelligent proxy selection algorithm considers multiple factors including target website characteristics, historical success rates, current proxy performance metrics, geographic requirements, and specific extraction needs. This dynamic approach ensures each request uses the most appropriate proxy from our diverse pool of 10 providers, maximizing success rates while minimizing detection risk.

Rebrowser offers comprehensive monitoring through our dashboard, featuring real-time success rate metrics, detailed error reporting with actionable insights, usage statistics across different target websites, performance analytics comparing different proxy providers, and customizable alerts for critical extraction jobs to ensure continuous data flow for business-critical applications.

Absolutely. Rebrowser's architecture is specifically designed for high-concurrency operations, supporting thousands of simultaneous connections with intelligent request distribution. Our system dynamically allocates resources across our global infrastructure to maintain optimal performance even during peak usage periods, making it ideal for time-sensitive applications requiring rapid data collection.

Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.