Google search engine results page extraction and summarization with Bright Data
Needs changesWhat this workflow does
This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model and HTTP Request. It also calls api.brightdata.com and webhook.site over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set Google Search Query (Edit Fields (Set)): sets 2 fields: search_query, zone
- Perform Google Search Request (HTTP Request): calls api.brightdata.com (POST)
- Google Search Data Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Summarization Chain: summarizes text with AI, with model: Google Gemini Chat Model
- Google Search Expert AI Agent (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; 1 tool (Webhook HTTP Request)
Services it uses
HTTP calls to: api.brightdata.com, webhook.site
Before you upgrade to n8n 3.0
2 things in this workflow are removed in n8n 3.0. Fix them before you upgrade:
- HTTP Request Tool (legacy) in Webhook HTTP Request: replace with HTTP Request node connected to the AI Agent's Tool input.
- AI Agent v1 (old agent modes) in Google Search Expert AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| HTTP Request Tool (legacy) Webhook HTTP Request | HTTP Request node connected to the AI Agent's Tool input |
| AI Agent v1 (old agent modes) Google Search Expert AI Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization - HTTP Request Tool
@n8n/n8n-nodes-langchain.toolHttpRequest - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set
From the author
Who this is for? This workflow is designed for professionals and teams who need real-time, structured insights from Google Search results without manual effort. What problem is this workflow solving? This n8n workflow solves the problem of automating Google…