This workflow automates company research and intelligence extraction from Glassdoor using Decode API for data retrieval and Google Gemini for AI-powered summarization.
This workflow is ideal for:
This workflow automates data mining, summarization, and structuring, transforming Glassdoor data into ready-to-use JSON and Markdown summaries.
The workflow automates the end-to-end pipeline for Glassdoor company research:
Trigger
Set Input Fields
company_url (e.g., a Glassdoor company profile link) and geo (country).Extract Raw Data from Glassdoor (Decodo Node)
Generate Structured Data (Google Gemini + Output Parser)
The Structured Data Extractor node (powered by Gemini AI) processes raw data into well-defined fields:
Summarize the Insights (Gemini AI Summarizer)
Produces a detailed summary highlighting:
Merge and Format
Export and Save
C:\{{CompanyName}}.json.Binary Encoding for File Handling
decodoApi)Make sure to install the Decodo Community Node.

Import this workflow JSON file into your n8n instance.
Configure your credentials for:
Open the Set the Input Fields node and replace:
company_url → with the Glassdoor URLgeo → with the region (e.g., India, US, etc.)Execute the workflow.
Check your output folder (C:\) for the exported JSON report.
You can easily adapt this template to your needs:
Add Sentiment Analysis
Export to Notion or Google Sheets
Multi-Company Batch Mode
Add Visualization Layer
Change Output Format
pypandoc or reportlab module.This n8n workflow combines Decode web scrapping with Google Gemini’s reasoning and summarization power to build a fully automated Glassdoor Research Engine.
With a single execution, it:
Ideal for: