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Scrape & Pitch My Full Glassdoor Automation Using AI + Bright Data

2 min read

Scrape & Pitch My Full Glassdoor Automation Using AI + Bright Data

AI Summary

Job Hunting Automation with NAN and Bright Data

Overview

  • A workflow to automate job hunting using NAN and Bright Data.
  • Useful for job seekers and agencies targeting high-intent prospects.

Process

  1. Job Identification
    • Use Glassdoor to find job posts relevant to your service or expertise.
    • Manual search via site:glassdoor.com/jobs or automated via Bright Data.
  2. Using Bright Data
    • Fill out a form with location, keyword, and country to scrape job queries.
    • The request generates results containing:
      • URL, Company URL, Company Name, Job Title
      • Job Overview, Company Headquarters, etc.
  3. Data Handling
    • Set polling intervals (e.g., 5-10 minutes) to check for scraping progress.
    • Once results are ready, they populate a Google Spreadsheet.
  4. Constructing Outreach Messages
    • Utilize AI to generate personalized outreach messages based on job details.
    • Adjust the prompt for different contexts or business needs.

API Keys and Setup

  • Users need to input their API keys for Bright Data and OpenAI.
  • Instructions for key adjustments are provided in the system notes.

Bright Data Features

  • Provides ready-to-use scrapers for various platforms, including Glassdoor.
  • Offers scraper APIs and no-code options.

Conclusion

  • The setup is designed to be plug-and-play with minimal adjustments needed from users.
  • Encourages viewers to explore further with Bright Data documentation.
  • Viewers are reminded to customize messages based on their unique services and context.

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