Podchaser
Provides the most comprehensive podcast database with detailed metadata, reviews, and analytics to help advertisers, marketers, and listeners discover and evaluate podcasts for advertising and listening purposes.
Last updated May 11, 2026 by the ATDb Editorial Team · Connections updated May 11, 2026
- Industry
- Podcast Advertising and Analytics
- Business Model
- SaaS
- Target Market
- SMB and Mid-Market
- Employee Count
- 11-50
- Funding
- $4M
- API Available
- Yes
Leading podcast database and discovery platform with comprehensive metadata and listener reviews
Podchaser is a podcast database and analytics platform that serves as the 'IMDb for podcasts.' The company provides comprehensive podcast discovery, ratings, reviews, and data services for both consumers and businesses. Podchaser has built one of the most extensive podcast databases, tracking millions of podcasts and episodes with detailed metadata, credits, and listener reviews. In the AdTech ecosystem, Podchaser plays a significant role in podcast advertising and marketing by providing data intelligence and audience insights to advertisers, agencies, podcast networks, and brands. The platform enables podcast advertising professionals to research shows, analyze audience demographics, track podcast performance, and make data-driven decisions about podcast advertising placements. Podchaser's business solutions include API access to their database, custom research services, and analytics tools that help advertisers identify the right podcasts for their campaigns.
Podchaser Database
Comprehensive database of podcasts with detailed metadata, episode information, and host credits
Podchaser for Brands
Business intelligence platform for podcast advertising research and campaign planning
Podchaser API
API access to podcast data for integration into third-party platforms and applications
Podcast Lists and Rankings
Curated lists and rankings of podcasts across various categories and topics
Podcast Reviews and Ratings
User-generated reviews and ratings system for podcasts