Automate Glassdoor Job Scraping to Google Sheets via Bright Data
Scrapes Glassdoor job listings using Bright Data based on keywords, location, and country, then stores organized data in Google Sheets for easy tracking and analysis.
This n8n workflow automates job searches on Glassdoor by leveraging Bright Data's powerful web scraping service. Users input job keywords (e.g., 'Software Engineer'), location, and country via a simple web form trigger. The workflow then queries Bright Data's Glassdoor dataset to fetch relevant job listings, including company details, ratings, salaries, and more. Data is intelligently processed to extract key fields like job title, company, location, rating, and posting date.
Key benefits include time-saving automation for recruiters, job seekers, and market researchers, eliminating manual browsing and data entry. It features built-in error handling, retry logic, and status monitoring for reliable execution. Results are automatically appended to a Google Sheets spreadsheet in a structured format, enabling easy sorting, filtering, and visualization.
Ideal use cases: Recruiters tracking talent pools, job hunters monitoring opportunities, HR teams conducting market analysis, or sales pros researching company expansions. With flexible keyword and location filters, it supports targeted searches across countries, making it a versatile tool for professional job market intelligence.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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