SAMPLE Podcast Database - Complete Podcast Metadata, All Countries & Languages
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https://marketplace.databricks.com/details/668aad13-6630-456a-9bf5-441819f3f448/Listen-Notes_SAMPLE-Podcast-Database---Complete-Podcast-Metadata,-All-Countries-&-Languages
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== Quick facts ==
* The most up-to-date and comprehensive podcast database available
* All languages & All countries
* Includes over 3,700,000 podcasts
* Features 35+ data fields , such as basic metadata, global rank, RSS feed (with audio URLs), Spotify links, and more
* Delivered in SQLite format
* Learn how we build a high quality podcast database: https://www.listennotes.help/article/105-high-quality-podcast-database-from-listen-notes
== Use Cases ==
* AI training, including speech recognition, generative AI, voice cloning / synthesis, and news analysis
* Alternative data for investment research, such as sentiment analysis of executive interviews, market research and tracking investment themes
* PR and marketing, including social monitoring, content research, outreach, and guest booking
* ...
== Data Attributes ==
See the full list of data attributes on this page: https://www.listennotes.com/podcast-datasets/fields/?filter=podcast_only
How to access podcast audio files: Our dataset includes RSS feed URLs for all podcasts. You can retrieve audio for over 190 million episodes directly from these feeds. With access to the raw audio, you’ll have high-quality podcast speech data ideal for AI training and related applications.
== Custom Offers ==
We can provide custom datasets based on your needs, such as language-specific data, daily/weekly/monthly update frequency, or one-time purchases.
We also provide a RESTful API at PodcastAPI.com
Contact us: hello@listennotes.com
== Need Help? ==
If you have any questions about our products, feel free to reach out hello@listennotes.com
== About Listen Notes, Inc. ==
Since 2017, Listen Notes, Inc. has provided the leading podcast search engine and podcast database.
提供机构:
Listen Notes



