This n8n workflow automates the process of retrieving and analyzing various media content from an external API, specifically designed for Medium. Its purpose is to facilitate content management, research, and outreach by systematically fetching details about articles, authors, tags, and related content. The workflow starts with a trigger node that is connected to an API-based Medium MCP Server node, which acts as the core handler for data requests. It then sequentially fetches comprehensive information such as welcome messages, article details, content, fans, related articles, responses, user details, and publication data through a series of HTTP request nodes. These nodes make specific API calls to obtain detailed insights, which can be further processed or stored for analytics, content curation, or user engagement purposes. Practical use cases include content strategy planning, personalized content feeds, or data-driven outreach campaigns for Medium writers and readers.
Automated Media Content Retrieval and Analysis Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.mcpTrigger, httpRequestTool, stickyNote |
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