# ScrapingBee publishes tutorial on building an AutoGPT agent with its API

> ScrapingBee released a blog post showing how to use its web scraping API as a data source within AutoGPT's visual Agent Builder.

- Canonical: https://extractfeed.io/story/scrapingbee-publishes-tutorial-on-building-an-autogpt-agent-daed8d0/
- JSON: https://extractfeed.io/api/v1/stories/scrapingbee-publishes-tutorial-on-building-an-autogpt-agent-daed8d0.json
- Beat: Agents & MCP · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-07T19:14:40.981630+00:00 · Updated: 2026-09-07T19:14:40.981630+00:00 · Edition: 2026-09-07
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- ScrapingBee: ScrapingBee released a blog post showing how to use its web scraping API as a data source within AutoGPT's visual Agent Builder.

## Why it matters
The tutorial demonstrates a practical integration between a commercial scraping service and a popular AI agent framework, highlighting the growing need for reliable web data access in agent workflows. It signals that scraping vendors are actively positioning themselves as infrastructure for AI agents, not just traditional data extraction tools.

## Sources
- Primary source · ScrapingBee · 2026-08-11 — [How to Build an AutoGPT Agent with ScrapingBee](https://www.scrapingbee.com/blog/build-autogpt-agent-with-scrapingbee/)

## Watch next
Will other scraping vendors follow with native AutoGPT or LangChain integrations?

Topics: ScrapingBee, AutoGPT, autogpt, ai-agents, web-scraping, tutorial, api-integration

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