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.
- 96.48% 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
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:
- Station call letters and frequencies
- Format and genre classifications
- Market and geographic coverage
- Weekly audience estimates (cume)
- Live streaming endpoint URLs
- Now-playing track and artist data
- Station ownership and provider info
- Social media handles and branding
- FCC Facility ID and band type
- Station logos and deep links
iHeart Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was 4 hours ago.
Ready-to-use iHeart Dataset Available Now!
Access clean, structured iHeart data instantly without building your own scraping infrastructure.
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
| Field | Type | Description | Example |
|---|---|---|---|
call_letters | string | Station call sign assigned by the FCC | KIIS-FM |
frequency | string | Broadcast frequency in MHz (FM) or kHz (AM) | 102.7 |
band | string | Broadcast band type (AM, FM, HD2, HD3, HD4, FL) | FM |
format | string | Industry-standard programming format code | CHRPOP |
genre | string | Listener-facing genre label for content discovery | Top 40 & Pop |
market | string | Geographic market area the station serves | Los Angeles, CA |
cume | number | Estimated weekly cumulative unique listeners | 5230000 |
provider | string | Station owner or broadcasting group | iHeartMedia |
stream_url | string | Live audio streaming endpoint URL | https://stream.iheart.com/live/123 |
now_playing_artist | string | Currently playing track artist name | Taylor Swift |
Sample iHeart API Response
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.
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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 sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Rebrowser Web Scraper API employs sophisticated technologies to overcome anti-scraping measures, including advanced browser fingerprinting that mimics genuine user behavior, automatic CAPTCHA solving capabilities, intelligent request distribution to prevent detection, dynamic session management, and adaptive response to website security changes—all working seamlessly behind a simple API interface.
Our proprietary mobile proxy farm consists of thousands of real mobile devices distributed globally. These devices operate on authentic mobile networks with genuine IP addresses, making them indistinguishable from regular users. This provides our customers with the most natural browsing fingerprints possible, enabling successful data collection from websites that typically block conventional proxy solutions.
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 seamlessly integrates with existing data ecosystems through multiple methods: direct API integration for real-time data needs, webhook delivery for event-driven architectures, scheduled exports to cloud storage platforms (AWS S3, Google Cloud Storage, Azure Blob Storage), direct database connections for immediate data insertion, and custom integration options for specialized requirements.
Rebrowser Web Scraper API is designed for rapid integration, with most clients achieving full implementation within hours. We provide comprehensive SDKs for popular programming languages, clear documentation with practical examples, ready-to-use code snippets for common extraction scenarios, and quick-start templates to accelerate development and minimize integration time.
