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Ai-powered automated job search & application

Gerald DenorGerald Denor
1427 views
2/3/2026
Official Page

Unleash the power of AI to automate your job search, tailor your applications, and boost your chances of landing your dream job! This comprehensive workflow handles everything from finding relevant job postings to generating personalized resumes and cover letters.

Use cases are many:

  • Automate your entire job application process: Spend less time searching and more time preparing for interviews.
  • Tailor your resume and cover letter for every application: Maximize your ATS compatibility and stand out to recruiters.
  • Efficiently track your applications: Keep all your job search activities organized in one place.
  • Discover new job opportunities: Leverage the Adzuna API to find relevant listings.

Good to know:

  • Free Adzuna API: This workflow utilizes the free Adzuna API, making job search capabilities accessible without initial cost.
  • OpenRouter Chat Model Costs: AI model usage (for resume rewriting and cover letter generation) will incur costs based on the OpenRouter pricing model. Please check OpenRouter's official website for updated pricing information.
  • Model Availability: The AI models used may have geo-restrictions. If you encounter a "model not found" error, it might not be available in your country or region.

How it works:

  1. Webhook Trigger: The workflow is initiated via a webhook, allowing you to trigger it manually or integrate it with other systems (e.g., a form submission with your desired job title and resume).
  2. Resume Extraction: Your uploaded resume (e.g., PDF) is automatically extracted into a readable text format.
  3. Job Search (Adzuna API): Using the provided job title, the workflow queries the Adzuna API to fetch relevant job postings.
  4. Job Filtering: Duplicate job listings are filtered out to ensure you receive unique opportunities.
  5. Job Info Extraction: Key details like job description, company name, and job URL are extracted from each posting.
  6. Skills Extraction (AI): An AI model (OpenRouter) analyzes the job description to identify the top skills and qualifications required.
  7. Resume Match Scoring (AI): Your resume is compared against the extracted job skills by an AI model, generating a compatibility score (1-5).
  8. Conditional Resume & Cover Letter Generation:
    • If the resume match score is satisfactory (β‰₯ 3):
      • Tailored Resume Generation (AI): An AI model rewrites your resume, specifically highlighting the skills and experience most relevant to the target job, in an ATS-friendly and human-readable JSON/HTML format.
      • Personalized Cover Letter Generation (AI): A custom cover letter is drafted by AI, uniquely tailored to the job description and your newly optimized resume, generated as well-formatted HTML.
  9. Google Sheets Integration: The generated cover letter, tailored resume, job URL, and application status are automatically updated in your designated Google Sheet for easy tracking.
  10. Gmail Notification: A personalized email containing the generated cover letter, tailored resume, and a direct link to the job posting on Adzuna is sent to your specified email address.
  11. Webhook Response: A final text response is sent back via the webhook, summarizing the sent application materials.

How to use:

  • Manual Trigger: The workflow is set up with a manual trigger (Webhook) for initial testing and demonstration. You can easily replace this with an n8n form, a scheduled trigger, or integrate it into your existing tools.
  • Input: Provide your desired job search keyword and your resume (e.g., as a PDF) to the webhook.
  • Review & Apply: Review the AI-generated cover letter and tailored resume sent to your email, then proceed to apply for the job using the provided Adzuna link.

Requirements:

  • n8n Instance: A running n8n instance (self-hosted or cloud).
  • Adzuna API Key: A free Adzuna API key (easily obtainable from their developer portal).
  • OpenRouter Account: For AI model access (costs apply based on usage).
  • Google Sheets Account: To store and track your job applications.
  • Gmail Account: To send automated application emails.

Customizing this workflow:

This workflow is highly customizable. You can:

  • Integrate with other job boards (e.g., LinkedIn, Indeed) using their APIs.
  • Add more sophisticated AI models or custom prompts for even finer control over resume and cover letter generation.
  • Connect to other services for CRM, calendar management, or applicant tracking.
  • Implement different filtering criteria for job postings.
  • Expand the data stored in your Google Sheet (e.g., interview dates, feedback).

Start automating your job search today and streamline your path to career success!

n8n AI-Powered Automated Job Search and Application Workflow

This n8n workflow automates the process of finding job postings, extracting relevant information, and preparing application materials using AI. It's designed to streamline the job search by handling repetitive tasks, allowing users to focus on personalized outreach and interviews.

What it does

This workflow performs the following key steps:

  1. Receives Job Postings: It starts by receiving job posting data, likely from an external source (e.g., a job board scraper, an email alert, or a manual trigger).
  2. Extracts Job Details: It extracts structured data from the received job posting content, potentially handling various file formats.
  3. Splits Out Job Items: If multiple job postings are received in a single input, it splits them into individual items for processing.
  4. Enriches Job Data with AI: It uses an AI Agent (powered by an OpenRouter Chat Model) to analyze the job description and potentially extract key requirements, responsibilities, or even tailor a cover letter/resume.
  5. Filters Job Postings: It applies conditional logic to filter job postings based on criteria determined by the AI Agent's output (e.g., "AI Agent determined 'apply' is true").
  6. Prepares Application Data: For qualified jobs, it sets or modifies fields in the data, likely preparing it for further actions like populating an application form or generating a personalized email.
  7. Saves to Google Sheets: It records the job posting details and the AI's assessment (and potentially application status) into a Google Sheet for tracking.
  8. Sends Application Email: It sends an application email via Gmail, presumably with tailored content generated by the AI.
  9. Responds to Webhook: It provides a response back to the initial trigger, indicating the status of the processing.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: Configured Google Sheets credentials for storing job data.
  • Gmail Account: Configured Gmail credentials for sending application emails.
  • OpenRouter API Key: An API key for OpenRouter to power the AI Chat Model.
  • Langchain Integration: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance.

Setup/Usage

  1. Import the Workflow: Download the JSON content and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your Google Sheets credentials.
    • Set up your Gmail credentials.
    • Set up your OpenRouter API key as a credential for the "OpenRouter Chat Model" node.
  3. Configure Webhook: The "Webhook" node acts as the trigger. Copy its URL and configure your job posting source (e.g., a job board scraper, RSS feed monitor, or another system) to send data to this URL.
  4. Customize AI Agent: Adjust the "AI Agent" node's prompt and tools to refine how it processes job descriptions and generates application materials.
  5. Customize Filter Logic: Modify the "If" node's conditions to match your specific job application criteria based on the AI Agent's output.
  6. Customize Gmail Node: Update the "Gmail" node to include your desired email subject, body, and attachments (e.g., dynamically generated cover letters or resumes).
  7. Activate the Workflow: Once configured, activate the workflow to start automating your job search and application process.

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