Summarize Glassdoor company info with Google Gemini and Bright Data web scraper
Ready for 3.0What this workflow does
This AI workflow has 12 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”.
- HTTP Request: calls api.brightdata.com (POST)
- Set Snapshot Id (Edit Fields (Set)): sets 1 field: snapshot_id
- Check Snapshot Status (HTTP Request): calls an HTTP API
- If: checks a condition and branches into true / false
- Download the Snapshot Response (HTTP Request): calls an HTTP API
- Wait: waits 30 seconds
- Summarization of Glassdoor Response (Summarization Chain): summarizes text with AI, with model: Google Gemini Chat Model; document loader: Default Data Loader
- Configure Webhook Notification (HTTP Request): calls webhook.site
Services it uses
HTTP calls to: api.brightdata.com, webhook.site
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 (9)
- Manual Trigger
n8n-nodes-base.manualTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization
From the author
Who is this for? This workflow is designed for HR professionals, employer branding teams, talent acquisition strategists, market researchers, and business intelligence analysts who want to monitor, understand, and act upon employee sentiment and company…