This n8n workflow sets up an automated interface for searching the Internet Archive’s collection via API endpoints, optimized for AI integration. It primarily functions as a server endpoint, or MCP (Machine Communicative Protocol) trigger, allowing AI agents to effortlessly perform search queries and retrieve data from the Internet Archive.
The workflow begins with a ‘MCP Trigger’ node that serves as the webhook endpoint. When an AI agent makes a request to this URL, the workflow activates. Key nodes include HTTP request tools that connect to three main API endpoints:
1. **Fields that can be requested** – Retrieves available search fields from the API.
2. **Return relevance-based results from search queries** – Fetches search results sorted by relevance.
3. **Scrape search results with scrolling capability** – Allows for dynamic, paginated scraping of search results.
These nodes are configured to send HTTP requests with parameters auto-populated via `$fromAI()` expressions, enabling flexible and dynamic querying.
This setup is useful for creating an automated, scalable search service integrated with AI, useful in scenarios like digital library management, data scraping, or research automation where streamlined access to Internet Archive data is required.
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