Overview

Scraping job boards manually wastes hours filtering irrelevant postings. This workflow automates job data collection from Indeed using BrightData, then applies AI to filter roles by your target company or position. Results are seamlessly appended to Google Sheets, cutting screening time and keeping your job search or recruitment data organized and current.

The Impact

  • Slash manual screening. AI filters jobs by fit, saving you hours each day.
  • Automate continuous monitoring. Scheduled scraping keeps data fresh without lifting a finger.
  • Archive with traceability. All matched jobs are stored in Google Sheets for easy access and audit.
  • Streamline recruitment insights. Quickly spot competitor hiring trends or target roles.

Who This Is For

  • Recruiters gathering real-time job openings from competitors and markets.
  • Job seekers who want automatic alerts for roles matching their target companies or titles.
  • HR analysts tracking hiring trends across industries and firms.
  • Talent scouts monitoring talent pools in specific locations.

How It Works

1
  1. Trigger Job Data Collection
  2. Send a request to BrightData to scrape recent Indeed jobs based on your location and keywords.
2
  1. Poll and Fetch Snapshot
  2. Wait for the scraping to complete by polling BrightData, then download the collected job data snapshot as JSON.
3
  1. Parse and Extract Job Details
  2. Convert the JSON into job entries and extract fields like company, title, description, and URL.
4
  1. Evaluate Job Fit Using AI
  2. Feed each job’s info to an LLM to decide if it matches your target company or role, outputting YES or NO.
5
  1. Append Results to Google Sheets
  2. Format the selected job data and AI evaluation into rows, then append them to your specified Google Sheets tab.

What You'll Need

Before using this template, make sure you have:

  • A Google Sheets spreadsheet with a worksheet prepared, headers set as Company, Job Title, URL, Fit.
  • Google OAuth2 credentials authorized to append rows to your Google Sheets.
  • A Bright Data API key for triggering and polling job scraping tasks.
  • Input parameters: JobLocation (city/region), Keyword (job title or keywords), Country (ISO code), TargetCompany (desired company or role), SpreadsheetId, and SheetName.

How to Use

  1. Step 1. Prepare Google Sheets
  2. Create a sheet with headers: Company, Job Title, URL, Fit in the first row.

  3. Step 2. Configure Credentials
  4. Set up Google OAuth2 for Sheets access and input your Bright Data API key.

  5. Step 3. Fill Parameters
  6. Enter your target JobLocation, Keyword, Country code, TargetCompany, SpreadsheetId, and SheetName.

  7. Step 4. Run the Workflow
  8. Start the workflow to trigger scraping, polling, AI evaluation, and appending results automatically.

  9. Step 5. Verify Results
  10. Check your Google Sheets to confirm matched jobs are appended correctly and review the workflow output.

FAQs

How does the workflow decide if a job matches my target company or role?
It uses a Large Language Model to analyze the job’s company name, title, and description against your specified target, answering only YES or NO.
What if the BrightData snapshot takes too long to be ready?
The workflow polls the snapshot status up to 15 minutes. If it times out, it reports a timeout status and stops further processing.
Can I customize which jobs get appended to Google Sheets?
Yes, only jobs evaluated with a YES fit result are formatted and appended, ensuring your sheet contains relevant matches.
How many job entries does the workflow process at once?
It parses and processes up to the first 59 job entries from the snapshot to keep the workload manageable.
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