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Automated LinkedIn job hunter: get your best daily job matches by email

TianyiTianyi
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2/3/2026
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Overview

This n8n template automates the tedious process of searching for jobs on LinkedIn. By integrating with tools for web scraping and leveraging AI (Google Gemini) for intelligent matching, this workflow delivers a curated list of the top 5 most relevant job opportunities published within past 24h directly to your inbox daily, based on your unique resume and preferences.The cost is only 0.1 USD per day and there is no subscription needed.

Who is this for?

This template is ideal for:

  • Active job seekers wanting to save time and effort.
  • Professionals looking to discreetly monitor relevant new opportunities.
  • Individuals seeking a highly personalized job feed tailored to their resume and preferences.
  • Anyone overwhelmed by manual job searching on LinkedIn.

What is Included:

  • n8n Workflow Template: The complete workflow file (.json) ready to import into your n8n instance.
  • Video Guidance: A step-by-step video walkthrough showing you exactly how to set up and configure the workflow.

What problem is this workflow solving?

Finding the right job on LinkedIn can be overwhelming and time-consuming. Sifting through hundreds of listings, tailoring searches, and checking daily takes significant effort. This workflow solves the problem of manual, repetitive job searching by automating the discovery and filtering process, ensuring you see the most relevant opportunities without the daily grind and reducing the risk of missing out on your ideal role.

What this workflow does:

This workflow automates the following steps:

  1. Scheduled Job Fetching: Runs automatically (default: daily at 8 AM) to find the latest jobs.
  2. Resume Processing: Downloads your resume (PDF) from Google Drive and extracts the text content.
  3. Targeted LinkedIn Scraping: Uses Apify to scrape recent job listings from LinkedIn based on your custom search URL.
  4. AI-Powered Matching: Employs an AI agent (Google Gemini) to analyze scraped jobs against your resume text and specified preferences.
  5. Top 5 Ranking & Selection: Identifies and ranks the opportunities, selecting the 5 best matches for you.
  6. Personalized Email Reporting: Generates and sends a detailed HTML email containing the top 5 jobs, including company name, job title, industry, a personalized reason for the match, and a direct application link.

Setup:

Follow these steps to configure the workflow:

  1. Core Connections:
    • Connect your Google Drive and Gmail accounts to n8n via the Credentials section.
    • Ensure your n8n environment has access/credentials configured for the AI model used by the AI Agent node (e.g., Google Gemini).
  2. Apify Integration:
    • Sign up for an Apify account (apify.com) and obtain your API key.
    • Action: In the Input node, paste your Apify API Key into the Value field for the ApifyAPIKey assignment.
  3. Resume Setup:
    • Upload your current resume in PDF format to your Google Drive.
    • Action: Find the File ID of the uploaded resume in Google Drive (part of the shareable link). Paste this File ID into the File ID parameter within the DownloadResume (Google Drive) node.
  4. LinkedIn Search Definition:
    • Go to LinkedIn Jobs (www.linkedin.com/jobs/search/) using an incognito/private browser window to ensure you get a public URL.
    • Apply all your desired filters (keywords, location, date posted, job type, industry, etc.).
    • Copy the complete URL from your browser's address bar.
    • Action: In the ScrapeLinkedin (HTTP Request) node, navigate to the Body > JSON parameter. Replace the example URL within the urls array [ "YOUR_LINKEDIN_SEARCH_URL_HERE" ] with the URL you just copied. Make sure the URL is enclosed in double quotes.
  5. Personalization Inputs:
    • Action: Go to the Input node:
      • In the Preference assignment, replace the example text in the Value field with your detailed job preferences (e.g., "Seeking remote Data Scientist roles in SaaS companies with less than 1000 employees, strong preference for Python/ML focus").
      • In the EmailAddressToReceiveJobRecommendations assignment, enter the email address where you want to receive the daily job list in the Value field.
  6. Email Sender Configuration:
    • Action: In the Email the top job recommendations (Gmail) node, ensure the correct Gmail credential (the account you want to send emails from) is selected.

How to customize this workflow:

  • Run Schedule: Modify the settings in the Schedule Trigger node to change the time or frequency (e.g., twice daily, weekly).
  • Job Search Criteria: Update the LinkedIn search URL in the ScrapeLinkedin node whenever you want to target different roles, industries, or locations.
  • Matching Preferences: Refine the text in the Preference field within the Input node to guide the AI's matching process more accurately.
  • AI Behavior: Advanced users can adjust the system prompt within the AI Agent: Find Best-matched jobs node to change how the AI analyzes or presents information (ensure the output structure still matches the Structured Output Parser and email node expectations).
  • Number of Jobs Scraped: Change the count value (e.g., from 100) in the JSON Body of the ScrapeLinkedin node. Note that higher numbers may increase Apify costs/usage.
  • Number of Jobs Emailed: To change the number of recommendations (e.g., top 3 or top 10), you'll need to:
    • Modify the AI prompt in the AI Agent: Find Best-matched jobs node to request the desired number.
    • Adjust the Structured Output Parser node's example/schema if needed.
    • Update the HTML code in the Email the top job recommendations node to correctly loop through and display the new number of jobs.
  • Email Appearance: Edit the HTML within the Message field of the Email the top job recommendations node to customize the email's style, colours, or layout.

Category:

Job Search, Automation, AI, Productivity, Career Management

Automated LinkedIn Job Hunter: Get Your Best Daily Job Matches by Email

This n8n workflow automates the process of finding relevant job postings on LinkedIn, extracting key information, and delivering daily job matches directly to your email inbox. It leverages AI to intelligently parse job descriptions and identify the best fits for your preferences.

What it does

This workflow performs the following steps:

  1. Triggers Daily: Runs automatically on a scheduled basis (e.g., daily) to fetch the latest job postings.
  2. Fetches LinkedIn Job Data: Makes an HTTP request to a specified API endpoint (likely a LinkedIn job scraper or a custom API) to retrieve job listings.
  3. Processes Job Data: Extracts and transforms the raw job data into a usable format, likely focusing on key fields like job title, company, location, and description.
  4. Stores Job Data (Google Drive): Saves the processed job data to a Google Drive spreadsheet (or similar file) for historical tracking and further analysis.
  5. Analyzes Job Descriptions with AI: Utilizes an AI Agent (powered by a Google Gemini Chat Model and structured output parsers) to read through job descriptions and identify relevant keywords, requirements, and suitability based on predefined criteria. This step helps in scoring or filtering jobs.
  6. Aggregates AI Analysis: Combines the results of the AI analysis for all job postings.
  7. Sends Daily Job Matches by Email: Composes and sends an email containing the top job matches identified by the AI, ensuring you receive personalized and highly relevant opportunities directly.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • API Endpoint for LinkedIn Jobs: Access to an API that can scrape or provide LinkedIn job postings. This could be a third-party service or a custom-built scraper.
  • Google Drive Account: For storing job data. You'll need to configure Google Drive credentials in n8n.
  • Gmail Account: For sending daily job match emails. You'll need to configure Gmail credentials in n8n.
  • Google Gemini API Key: For the AI Agent to process job descriptions. You'll need to configure credentials for the Google Gemini Chat Model in n8n.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • HTTP Request (Node 19): Update the URL and any necessary authentication for your LinkedIn job data API.
    • Google Drive (Node 58): Configure your Google Drive credentials. Specify the folder and file name where job data should be stored.
    • Google Gemini Chat Model (Node 1262): Configure your Google Gemini API key.
    • Gmail (Node 356): Configure your Gmail credentials. Update the recipient email address and customize the email subject and body as needed.
  3. Customize AI Agent (Node 1119):
    • Review the prompt and tools used by the AI Agent to ensure it aligns with your specific job search criteria (e.g., desired roles, skills, industries).
    • Adjust the Structured Output Parser (Node 1179) to define the exact structure of the AI's output (e.g., job title, relevance score, reasons for match).
  4. Set Schedule (Node 839): Configure the Schedule Trigger to run at your desired frequency (e.g., once every 24 hours).
  5. Activate the Workflow: Once all configurations are complete, activate the workflow.

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