Summarize & extract Glassdoor company info with Google Gemini and Decodo
Needs changesWhat 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 and Decodo (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set the Input Fields (Edit Fields (Set)): sets 2 fields: company_url, geo
- Decodo: uses Decodo
- Structured Data Extractor (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Summarizer (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Merge: merges the data from its input branches
- Format the Response (Code): runs custom JavaScript code
- Create a Binary Response (Function): runs custom JavaScript (legacy Function node)
- Read/Write Files from Disk: writes a file to disk
Services it uses
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 Response: 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 Response | Code node, mode 'Run Once for All Items' |
Nodes used (11)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Decodo
@decodo/n8n-nodes-decodo.decodo - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Merge
n8n-nodes-base.merge - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Code
n8n-nodes-base.code - Function
n8n-nodes-base.function
From the author
This workflow automates company research and intelligence extraction from Glassdoor using Decode API for data retrieval and Google Gemini for AI-powered summarization. Who this is for This workflow is ideal for: Recruiters, analysts, and market researchers…