Extract and analyze Google search results using Bright Data and AI
Workflow Description
Manual trigger receives a search query, retrieves Google search results via Bright Data, analyzes content using Gemini and LLM Chain to extract key information, formats data, and automatically posts summaries to X (Twitter).
How it works
- 1.Trigger workflow manually and input search query
- 2.Fetch Google search results page via Bright Data API
- 3.Parse and analyze results using Gemini and LLM Chain for information extraction
- 4.Format extracted data and store results
- 5.Post summarized findings automatically to X (Twitter)
Use cases
- Monitor trending search results on specific topics and share automatically on X
- Extract links and key information from search results without manual effort
- Analyze search trends and publish summaries to social media channels
Requirements
- Bright Data API key to retrieve search results
- Google Gemini or similar LLM service for data analysis
- X (Twitter) authentication credentials for posting
- n8n instance with HTTP Request capability
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (12)
When clicking ‘Test workflow’
Manual Trigger
Google Gemini Chat Model
Gemini Model
Summarization Chain
Chain Summarization
Google Gemini Chat Model For Summarization
Gemini Model
Google Gemini Chat Model1
Gemini Model
Webhook HTTP Request
HTTP Request
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Google Search Data Extractor
Information Extractor
Perform Google Search Request
HTTP Request
Google Search Expert AI Agent
Agent
Set Google Search Query
Set