Listen Notes is a comprehensive podcast search and retrieval tool that allows users to access detailed metadata and episode content. With Relevance AI, you can leverage this data to create smarter workflows powered by AI Agents.
Listen Notes provides extensive access to podcast metadata and episode content. Relevance AI amplifies this by enabling intelligent AI Agents to process and analyze podcast data seamlessly.
Global Content Mastery
Access and analyze over 3 million podcasts and 150 million episodes worldwide, enabling comprehensive knowledge synthesis
Semantic Search Precision
Leverage advanced search capabilities across episodes, transcripts, and metadata for pinpoint content discovery
Predictive Trend Analysis
Identify emerging topics and patterns across the podcast ecosystem before they become mainstream
Relevance AI integrates with Listen Notes to enhance your podcast data workflows with powerful search and retrieval capabilities.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Listen Notes account
- A Relevance AI account with access to your project settings
- Authorization credentials (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
This integration enables seamless podcast data retrieval and search capabilities through the Listen Notes API within the Relevance AI platform. Key benefits include comprehensive podcast search and metadata access, episode-level content retrieval, automated podcast data processing, and streamlined OAuth authentication.
To get started, ensure you have a Listen Notes API account with valid OAuth credentials, a Relevance AI account, and the required permission scope of pipedream-listen-notes-read-write. Your environment should support HTTPS and JSON parsing, while also complying with API rate limits based on your Listen Notes tier.
Begin by configuring OAuth authentication and setting up the base URL for the Listen Notes API. You can then quickly search for podcasts, retrieve episode details, and get podcast information using the provided transformation IDs and input parameters.
For example, to search for podcasts related to technology, you would use the transformation ID listen_notes-full-search with the appropriate input parameters. The expected response will include the results, count, total, and next offset for pagination.
In case of any issues, common errors include authentication errors, rate limiting, and invalid parameters. Implement error handling for API responses, cache frequently accessed data, and use pagination for large result sets to ensure optimal performance.
For additional support or detailed API documentation, refer to the Listen Notes API documentation or contact technical support as needed.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Listen Notes + Relevance AI integration without writing code:
- Start with a clear search strategy: Define specific keywords and topics to optimize your podcast search results.
- Utilize episode and podcast details: Leverage the episode-level content retrieval to gain deeper insights into specific podcasts.
- Implement OAuth authentication carefully: Ensure your OAuth credentials are valid and have the necessary permissions for seamless access.
- Test API calls with sample data: Validate your API requests using known podcast IDs to ensure correct responses before scaling.
- Monitor API usage: Keep track of your API calls to avoid hitting rate limits and implement retry logic for failed requests.
