Summarize Glassdoor Company Information with Google Gemini and Bright Data Web Scraper

Name: Summarize Glassdoor Company Information with Google Gemini and Bright Data Web Scraper
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Author: Free N8N

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Community Contributedaiautomationbright datageminiglassdoorsummarizationweb scraping

This workflow summarizes Glassdoor company information using Google Gemini for AI processing and Bright Data for web scraping.

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About This Workflow

Overview

This n8n workflow is designed to extract company information from Glassdoor, process it using the Google Gemini AI model for summarization, and then potentially use Bright Data's Web Scraper API. It demonstrates how to integrate AI capabilities within an automation pipeline.

Key Features

Scrapes company data from Glassdoor (utilizing Bright Data).
Leverages Google Gemini (Flash Exp model) for text summarization.
Includes a waiting period and status checks for asynchronous operations.
Configurable with environment variables for URLs and credentials.

How To Use

Configure Credentials: Set up 'Google Gemini(PaLM) Api account' and 'Header Auth account' in n8n.
Set Environment Variables: Define BASE_URL, WEBHOOK_URL, and API_BASE_URL in your n8n environment.
Input Data: Ensure the Glassdoor API call (HTTP Request to Glassdoor) is correctly configured with the relevant dataset_id and any necessary headers.
Trigger Workflow: Manually trigger the workflow using the 'When clicking ‘Test workflow’' node.

Apps Used

automation

bright data

gemini

glassdoor

summarization

web scraping

Workflow JSON

{
  "id": "d1d9c71f-2719-4a2a-ba95-4224f5c5699c",
  "name": "Summarize Glassdoor Company Information with Google Gemini and Bright Data Web Scraper",
  "nodes": 0,
  "category": "Community Contributed",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.