Structured data extract & data mining with Bright Data & Google Gemini
Needs changesWhat this workflow does
This AI workflow has 16 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 URL and Bright Data Zone (Edit Fields (Set)): sets 2 fields: url, zone
- Perform Bright Data Web Request (HTTP Request): calls api.brightdata.com (POST)
- Markdown to Textual Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
- Topic Extractor with the structured response (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Initiate a Webhook Notification for Markdown to Textual Data Extraction (HTTP Request): calls webhook.site
- Trends by location and category with the structured response (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Initiate a Webhook Notification for AI Sentiment Analyzer (HTTP Request): calls webhook.site
- Create a binary file for topics (Function): runs custom JavaScript (legacy Function node)
- Initiate a Webhook Notification for trends by location and category (HTTP Request): calls webhook.site
- Create a binary data for tends (Function): runs custom JavaScript (legacy Function node)
…plus 2 more steps. See the full node list below.
Services it uses
HTTP calls to: api.brightdata.com, webhook.site
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- Function (legacy) in Create a binary file for topics, Create a binary data for tends: replace with Code node, mode 'Run Once for All Items'.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| Function (legacy) Create a binary file for topics, Create a binary data for tends | Code node, mode 'Run Once for All Items' |
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Function
n8n-nodes-base.function - Read/Write Files from Disk
n8n-nodes-base.readWriteFile
From the author
Who this is for? The Structured Data Extract & Data Mining workflow is crafted for researchers, content analysts, SEO strategists, and AI developers who need to transform semi-structured web data (like markdown content or scraped HTML) into actionable…