# ScrapingBee publishes tutorial on building a live data retriever with Dify AI agents

> ScrapingBee's blog shows how to use its Remote MCP server as a live data retriever tool within Dify AI's open-source agentic workflows.

- Canonical: https://extractfeed.io/story/scrapingbee-publishes-tutorial-on-building-a-live-data-retri-ed45d21/
- JSON: https://extractfeed.io/api/v1/stories/scrapingbee-publishes-tutorial-on-building-a-live-data-retri-ed45d21.json
- Beat: Agents & MCP · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-06T01:51:20.932782+00:00 · Updated: 2026-10-06T01:51:20.932782+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- ScrapingBee: ScrapingBee's blog shows how to use its Remote MCP server as a live data retriever tool within Dify AI's open-source agentic workflows.

## Why it matters
The tutorial demonstrates a practical integration between an MCP-based scraping service and a popular open-source LLM agent platform, highlighting how web data extraction is becoming a native capability in AI agent toolchains. This lowers the barrier for developers to combine retrieval-augmented generation with live web data, moving beyond static knowledge bases.

## Sources
- Primary source · ScrapingBee · 2026-10-02 — [How to Build a Data Retriever With Dify AI Agents](https://www.scrapingbee.com/blog/how-to-build-data-retriever-with-dify-ai-agents/)

## Watch next
Will other scraping vendors follow ScrapingBee in offering MCP servers as first-class agent tools?

Topics: ScrapingBee, Dify AI, mcp, ai-agents, tutorial, web-scraping, dify, rag

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extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md