Google SERP + trends and recommendations with Bright Data & Google Gemini
Ready for 3.0What this workflow does
This AI workflow has 20 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model. It also calls api.brightdata.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set input fields (Edit Fields (Set)): sets 4 fields: url, webhook_notification_url, search…
- Perform Bright Data Web Request (HTTP Request): calls api.brightdata.com (POST)
- Google Search Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Code: runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Trends Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Recommendation Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Convert to File: converts data to a file
…plus 3 more steps. See the full node list below.
Services it uses
HTTP calls to: api.brightdata.com
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 (10)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Code
n8n-nodes-base.code - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Convert to File
n8n-nodes-base.convertToFile - Read/Write Files from Disk
n8n-nodes-base.readWriteFile
From the author
Who this is for? Google SERP Tracker + Trends and Recommendations is an AI-powered n8n workflow that extracts Google search results via Bright Data, parses them into structured JSON using Google Gemini, and generates actionable recommendations and search…