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.
  • 97.1% 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 an hour 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 can extract data from virtually any public-facing website, including e-commerce platforms, social media networks, review sites, news outlets, financial portals, travel booking systems, real estate listings, job boards, business directories, and government databases. Our specialized extractors are optimized for high-value data sources across various industries.

Yes, Rebrowser excels at managing rate-limited websites through intelligent request distribution across our vast IP pools, automatic throttling that adapts to site response patterns, seamless rotation between our 10 proxy providers, and customizable crawling strategies that mimic natural user behavior patterns to avoid triggering rate limit defenses.

Rebrowser Web Scraper API is an advanced cloud-based solution for web data extraction that handles the complex aspects of web scraping automatically. It manages IP rotation, bypasses anti-bot systems, solves CAPTCHAs, and parses data into structured formats. This comprehensive service enables businesses to collect valuable web data efficiently without dealing with technical challenges.

Yes, Rebrowser supports authenticated scraping through several methods: API parameters for passing credentials, secure session management to maintain logged-in states across requests, cookie handling capabilities, and advanced fingerprinting to prevent account flagging. This enables reliable data extraction from password-protected areas while maintaining account security.

Rebrowser Web Scraper API supports multiple data formats to accommodate various integration needs. These include JSON and NDJSON for modern applications, CSV and XLSX for spreadsheet analysis, XML for legacy system compatibility, and custom formats tailored to specific client requirements. Our flexible output options ensure seamless integration with your existing data pipelines.