Goodreads quote extraction with Bright Data and Gemini
Ready for 3.0What this workflow does
This AI workflow has 5 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 the fields (Edit Fields (Set)): sets 2 fields: url, zone
- Perform Bright Data Web Request (HTTP Request): calls api.brightdata.com (POST)
- Quotes Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
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 (5)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - HTTP Request
n8n-nodes-base.httpRequest
From the author
Goodreads Quote Extraction with Bright Data and Gemini This workflow demonstrates how to fetch data specifically from Goodreads web pages using Bright Data and then extract specific information (quotes) from that data using a Google Gemini AI model. How it…