Listen Notes
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Listen Notes Data Products: APIs & Datasets
Listen Notes Pricing & Cost
== Podcast Database Dump ==
We offer two pricing models for accessing our offline podcast database:
1) Enterprise Sales
For full access (or specific language/region subsets), choose a one-time purchase or subscribe to regular updates. Learn more:
https://www.listennotes.com/podcast-datasets/solutions/
2) Self-Service
For smaller datasets (e.g., under 10,000 records), use our self-service tools:
https://www.listennotes.com/podcast-datasets/category/
== Podcast API ==
Start with our free, self-service Podcast API plan:
https://www.listennotes.com/api/pricing/
For enterprise-level access and support, contact us here:
https://www.listennotes.com/api/enterprise-sales/
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About Listen Notes
Listen Notes in a Nutshell
Listen Notes, Inc. is a Delaware C-Corp based in San Francisco, CA, United States, founded in 2017.
We operate ListenNotes.com, the leading podcast search engine, and offer a comprehensive, high-quality podcast database serving diverse use cases — including financial alternative data, app development, AI training (e.g., audio cloning/recognition), social listening, and lead generation for PR, marketing, and sales.
Our podcast datasets are meticulously curated with rich metadata. We invest heavily in AI tools and human moderation to identify and remove AI-generated or low-quality content, ensuring our data remains clean and trustworthy.
For developers, we offer PodcastAPI.com — a powerful, enterprise-grade API that enables seamless podcast search and directory integration into your apps and websites.
Country Coverage
Data Offering
Our podcast database has all public podcasts worldwide—in all languages—from circa 2000 through near-real-time updates (within minutes of publication). We combine AI and human moderation to strip out synthetic or fake shows, ensuring you access genuine conversations, not bots.
We deliver the data in two ways:
1) Offline Podcast Database Dump: 35+ podcast and episode fields, in CSV or SQLite formats.
2) Podcast API: a developer-friendly RESTful API, learn more at https://docs.PodcastAPI.com/
Use Cases
1) Investment Research: Sentiment analysis of executive interviews, market monitoring, and thematic tracking
2) PR & Marketing: Social listening, content insights, outreach workflows, and guest-booking pipelines
3) AI Training: Speech recognition corpora, generative-AI datasets, voice-cloning samples, and news-analysis feeds
4) App Development: Podcast player apps, e-learning platforms, podcast clipping apps, social apps, etc.
Data Sources & Collection
We develop our entire podcast database in-house—aggregating and building it from the ground up.
We use four methods to keep our database fresh:
1) 24/7 crawlers
2) direct podcaster submissions
3) manual additions by our team and users
4)partnerships with hosting platforms
All data is vetted by AI and human moderators to filter out fake or AI-generated podcasts. Most new episodes appear in our database within 15–30 minutes. Learn more: https://www.listennotes.help/article/105-podcast-database
Key Differentiators
== Comprehensive & Best-in-Class Metadata ==
Since 2017, we’ve delivered high-quality podcast data to support a wide range of use cases—from finance and AI to PR, sales, and beyond.
We specialize in cleaning messy podcast metadata and invest heavily in both AI tools and human moderation to detect and remove AI-generated, spammy content—ensuring access to authentic human conversations.
We encourage prospective customers to evaluate other options. We welcome comparison—because we’re confident that after 8+ years of proven performance, our quality and reliability will speak for themselves.
== Exceptional Customer Support ==
When you contact us, you speak directly with the founder & CEO—who is technical.
We believe a product is only as trustworthy as the people behind it. If the CEO isn’t technical or engaged with customers, it shows. That’s not the case here.
== Lightning-Fast Data Delivery ==
We move fast. All data deliveries are completed within 12 hours of payment—so you can start building without delay.
== Built to Last ==
We’re a profitable, independent company—not part of a larger corp.
We’re not at risk of disappearing after a re-org or acquisition. With over 8 years of stable operations, we’re here for the long haul—and committed to supporting you well into the future.
Data Privacy
We maintain strict content policies governing which podcasts are included in our database:
https://www.listennotes.help/article/32-content-policies-for-listen-notes
To ensure compliance, we continuously monitor and remove illegal or non-compliant content from our datasets.
Integrations
Frequently asked questions about Listen Notes
What does Listen Notes do?
Listen Notes is the leading podcast search engine and database since 2017, trusted by finance, AI, PR, sales, and more. We offer high-quality datasets via downloadable SQLite files and real-time access through PodcastAPI.com for seamless integration.
How much does Listen Notes cost?
Listen Notes’ APIs and datasets range in cost from $1.60 / 1000 to $200 / month. Get talking to a member of the Listen Notes team to receive custom pricing options, information about data subscription fees, and quotes for Listen Notes’ data offering tailored to your use case.
What kind of data does Listen Notes have?
Alternative Data, Podcast Data, Email Address Data, Sentiment Data, and 5 others
What data does Listen Notes offer?
Our podcast database has all public podcasts worldwide—in all languages—from circa 2000 through near-real-time updates (within minutes of publication). We combine AI and human moderation to strip out synthetic or fake shows, ensuring you access genuine conversations, not bots. We deliver the data in two ways: 1) Offline Podcast Database Dump: 35+ podcast and episode fields, in CSV or SQLite formats. 2) Podcast API: a developer-friendly RESTful API, learn more at https://docs.PodcastAPI.com/
How does Listen Notes collect data?
We develop our entire podcast database in-house—aggregating and building it from the ground up. We use four methods to keep our database fresh: 1) 24/7 crawlers 2) direct podcaster submissions 3) manual additions by our team and users 4)partnerships with hosting platforms All data is vetted by AI and human moderators to filter out fake or AI-generated podcasts. Most new episodes appear in our database within 15–30 minutes. Learn more: https://www.listennotes.help/article/105-podcast-database
What’s Listen Notes’ data privacy policy?
We maintain strict content policies governing which podcasts are included in our database: https://www.listennotes.help/article/32-content-policies-for-listen-notes To ensure compliance, we continuously monitor and remove illegal or non-compliant content from our datasets.
What are the best use cases for Listen Notes’ data?
1) Investment Research: Sentiment analysis of executive interviews, market monitoring, and thematic tracking 2) PR & Marketing: Social listening, content insights, outreach workflows, and guest-booking pipelines 3) AI Training: Speech recognition corpora, generative-AI datasets, voice-cloning samples, and news-analysis feeds 4) App Development: Podcast player apps, e-learning platforms, podcast clipping apps, social apps, etc.
What platforms is Listen Notes integrated with?
AWS Data Exchange