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.
  • 96.96% 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
Create Account

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 5 hours ago.
Ready-to-use iHeart Dataset Available Now!
Access clean, structured iHeart data instantly without building your own scraping infrastructure.
Get iHeart Dataset
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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
{
  "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.
Contact Us →
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.

Other scrapers

Amazon
e-commerce96.95% success rate
Extract product details, prices, reviews, and seller information from Amazon's vast marketplace
Apartments.com
real estate96.7% success rate
Extract apartment listings, rental prices, amenities, and availability data from America's leading rental platform
Carfax
automotiveFeatured97.14% success rate
Extract used car listings, dealer inventory, pricing data, and history-verified vehicles from Carfax's marketplace platform
Cars.com
automotiveFeatured97.26% success rate
Extract vehicle listings, dealer inventory, expert reviews, and pricing data from Cars.com's comprehensive automotive marketplace
Realtor.com
real estate97.5% success rate
Extract property listings, prices, agent details, and neighborhood data from millions of US real estate listings
SiriusXM
satellite radioFree DatasetFeatured95.94% success rate
Extract SiriusXM channel lineups, programming data, and real-time play history across satellite and streaming platforms
See all scrapers →
Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get Your Special Offer
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions

Yes, Rebrowser Web Scraper API excels at extracting data from JavaScript-heavy websites. Our system incorporates full browser rendering capabilities that execute JavaScript code just as a real browser would, ensuring complete content loading. This enables successful data extraction from modern single-page applications, dynamic content loaders, and complex web applications that rely heavily on client-side rendering.

Our platform includes specialized batch processing capabilities designed for large-scale extraction jobs. Features include asynchronous job queuing with webhooks for completion notifications, distributed processing across our global infrastructure, intelligent workload partitioning for optimal resource utilization, and efficient data compression and streaming for minimal transfer overhead.

Rebrowser integrates with 10 diverse proxy networks, including major residential proxy pools with millions of IPs, specialized datacenter proxies optimized for performance, exclusive mobile network providers, country-specific proxy pools for targeted geo-access, and private proxy networks with dedicated IPs. This multi-provider approach ensures optimal performance for different scraping scenarios.

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.

Rebrowser implements a multi-layered data verification system that includes automated structure validation, content consistency checks, sampling verification, and anomaly detection algorithms. For critical applications, we also offer human-in-the-loop verification options to ensure the highest levels of data accuracy and reliability.