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Automated job scraping with SerpAPI, Gemini AI filter & email notifications

LouisLouis
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2/3/2026
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πŸ›œ Daily Notification on Specific Latest Job Offers πŸ›œ

🌟 Overview: Never miss a job offer again! This n8n workflow automates daily job scraping from LinkedIn, Indeed, Welcome to the Jungle, and more, using Google Dorks and SerpAPI. It filters offers with a Gemini AI agent, stores them in Google Sheets, and sends a sleek HTML newsletter to your inbox or subscribersβ€”all manageable from your phone!

πŸ’Ό Use Cases:

  • Students hunting for M&A, valuation, or transaction services internships (6+ months).
  • Career switchers seeking automated, curated job alerts.
  • Content creators building a job newsletter to monetize their audience.

βš™οΈ How It Works:

  1. Scrape: Uses SerpAPI with a tailored Google Dork to fetch fresh job listings daily from top platforms.
  2. Filter: A Gemini AI agent validates offers to ensure they match corporate finance criteria.
  3. Store: Saves new offers in Google Sheets, marking duplicates to avoid spam.
  4. Notify: Generates an email/newsletter notification and sends it via Outlook

πŸ› οΈ Setup Instructions:

  • Import the JSON workflow into n8n.
  • Add credentials: SerpAPI (API key), Google Sheets (OAuth2), Microsoft Outlook (OAuth2)
  • Customize the Google Dork in the "Edit Fields" node for specific job criteria.
  • Schedule to run daily at 7 AM. Test and tweak the AI prompt for precision.

πŸ”‘ Required Credentials & Nodes:

  • Credentials: SerpAPI, Google Sheets OAuth2, Microsoft Outlook OAuth2
  • Nodes: Schedule Trigger, HTTP Request, Google Sheets, AI Agent (Gemini), Microsoft Outlook

πŸ”— Creator: Louis Delahaye | n8n.io/creators/louisdl

πŸŽ₯ YouTube @cash-routine

My AI Agency : https://agence-alain.fr

Automated Job Scraping with SerpApi, Gemini AI Filtering, and Email Notifications

This n8n workflow automates the process of finding new job postings, filtering them using Google Gemini AI, and sending email notifications for relevant opportunities.

What it does

This workflow streamlines your job search by:

  1. Triggering on Schedule: Initiates the job search process at predefined intervals (e.g., daily, weekly).
  2. Fetching Job Search Queries: Reads job search parameters (keywords, location, etc.) from a Google Sheet.
  3. Executing Sub-workflows for Each Query: For each job query from the Google Sheet, it calls a sub-workflow to perform the actual job scraping.
  4. Scraping Job Postings: The sub-workflow uses an HTTP Request node to query SerpApi for job listings based on the provided search parameters.
  5. Comparing with Previously Found Jobs: New job postings are compared against a list of previously identified jobs (likely stored in another Google Sheet) to avoid duplicate notifications.
  6. Filtering with Google Gemini AI: For newly found jobs, it uses the Google Gemini Chat Model via an AI Agent to evaluate if the job description matches specific criteria or is of interest.
  7. Aggregating Relevant Jobs: Collects all jobs that pass the AI filtering.
  8. Sending Email Notifications: Sends an email via Microsoft Outlook containing the details of the newly found and AI-filtered job postings.
  9. Updating Google Sheet: Adds the newly found jobs to the Google Sheet of previously found jobs to maintain a record and prevent future duplicate processing.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Google Sheets Account: To store job search queries and a record of previously found jobs. You'll need to configure Google Sheets credentials in n8n.
  • SerpApi Account and API Key: To scrape job listings. You'll need to provide your SerpApi API key for the HTTP Request node.
  • Google Gemini AI Access: For the Google Gemini Chat Model. This typically involves a Google Cloud Project and API key.
  • Microsoft Outlook Account: To send email notifications. You'll need to configure Microsoft Outlook credentials in n8n.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Google Sheets credentials.
    • Set up your Microsoft Outlook credentials.
    • Configure the HTTP Request node with your SerpApi API Key.
    • Configure the Google Gemini Chat Model node with your Google Gemini AI credentials.
  3. Prepare Google Sheets:
    • Create a Google Sheet for your job search queries. This sheet should contain columns for your search terms (e.g., "keywords", "location").
    • Create another Google Sheet to store the jobs that have already been processed and notified. This sheet will be used by the "Compare Datasets" node.
  4. Customize Nodes:
    • Schedule Trigger (839): Adjust the schedule to your preferred frequency for running the job search (e.g., every day, once a week).
    • Google Sheets (18): Configure this node to read from your job search queries Google Sheet.
    • Execute Workflow (111): Ensure the sub-workflow ID is correctly set if you separate the job scraping logic into a distinct workflow.
    • HTTP Request (19): Verify the SerpApi endpoint and parameters are correctly configured for your job search needs.
    • AI Agent (1119) and Google Gemini Chat Model (1262): Customize the prompt for the AI Agent to accurately filter job descriptions based on your specific criteria.
    • Microsoft Outlook (433): Customize the email subject and body to include relevant job details.
    • Google Sheets (18 - for writing): Configure this node to write the new job postings to your "previously found jobs" Google Sheet.
  5. Activate the Workflow: Once configured, activate the workflow to start automating your job search.

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