Extract & summarize Wikipedia data with Bright Data and Gemini AI
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model. It also calls api.brightdata.com and webhook.site over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set Wikipedia URL with Bright Data Zone (Edit Fields (Set)): sets 2 fields: url, zone
- Wikipedia Web Request (HTTP Request): calls api.brightdata.com (POST)
- LLM Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
- Concise Summary Generator (Summarization Chain): summarizes text with AI, with model: Google Gemini Chat Model
- Summary Webhook Notifier (HTTP Request): calls webhook.site
Services it uses
HTTP calls to: api.brightdata.com, webhook.site
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Manual Trigger
n8n-nodes-base.manualTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - HTTP Request
n8n-nodes-base.httpRequest - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization - Edit Fields (Set)
n8n-nodes-base.set
From the author
Who this is for? This workflow automates the process of Wikipedia data extraction using the Bright Data Web Unlocker, parsing and cleaning the data, and then sending the results to a specified webhook URL for downstream processing, reporting, or integration.…