Comprehensive Podcast Data Retrieval Workflow

This n8n workflow is designed to harness the capabilities of the Listen API for an extensive podcast data management system. It integrates various API endpoints to search, retrieve, and analyze podcast information, making it ideal for podcast aggregators, marketing tools, or content platforms. The workflow begins with an MCP Trigger node, which activates when a webhook receives a podcast-related request. Multiple HTTP Request nodes follow, each connected to specific endpoints of the Listen API to fetch diverse data sets including top charts by genre, curated lists, detailed episode info, recommendations, and audience insights. Additional nodes handle playlist management and podcast deletion, enabling CRUD operations on podcast entries. Sticky notes provide contextual documentation for each API service, making the workflow transparent and adaptable. Overall, this system automates the collection and analysis of podcast data, supporting features like dynamic content updates, personalized recommendations, and targeted marketing campaigns. It is especially useful for developers building podcast directories, analytics dashboards, or search-enhanced interfaces.