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Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram

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Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Job Matcher with Decodo, Gemini AI & Resume Analysis Sign up for Decodo — get better pricing here Who’s it for This workflow is built for job seekers, recruite...

Best for

  • HR automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, @decodo/n8n-nodes-decodo.decodo, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitout, n8n-nodes-base.telegram, n8n-nodes-base.googlesheets, n8n-nodes-base.html

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rully Saputra.

Original n8n.io source

1.1 Workflow description

Title
Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram
Workflow name
Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram

AI Job Matcher with Decodo, Gemini AI & Resume Analysis

Sign up for Decodo — get better pricing here

Who’s it for

This workflow is built for job seekers, recruiters, founders, automation builders, and data engineers who want to automate job discovery and intelligently match job listings against resumes using AI.

It’s ideal for anyone building job boards, candidate matching systems, hiring pipelines, or personal job alert automations using n8n.

What this workflow does

This workflow automatically scrapes job listings from SimplyHired using Decodo residential proxies, extracts structured job data with a Gemini AI agent, downloads resumes from Google Drive, extracts and summarizes resume content, and surfaces the most relevant job opportunities.

The workflow stores structured results in a database and sends real-time notifications via Telegram, creating a scalable and low-maintenance AI-powered job matching pipeline.

How it works

  1. A schedule trigger starts the workflow automatically
  2. Decodo fetches job search result pages from SimplyHired
  3. Job card HTML is extracted from the page
  4. A Gemini AI agent converts raw HTML into structured job data
  5. Resume PDFs are downloaded from Google Drive
  6. Resume text is extracted from PDF files
  7. A Gemini AI agent summarizes key resume highlights
  8. Job and resume data are stored in a database
  9. Matching job alerts are sent via Telegram

How to set up

  1. Add your Decodo API credentials
  2. Add your Google Gemini API key
  3. Connect Google Drive for resume access
  4. Configure your Telegram bot
  5. Set up your database (Google Sheets by default)
  6. Update the job search URL with your keywords and location

Requirements

  • Self-hosted n8n instance
  • Decodo account (community node)
  • Google Gemini API access
  • Google Drive access
  • Telegram Bot token
  • Google Sheets or another database

> Note: This template uses a community node (Decodo) and is intended for self-hosted n8n only.

How to customize the workflow

  • Replace SimplyHired with another job board or aggregator
  • Add job–resume matching or scoring logic
  • Extend the resume summary with custom fields
  • Swap Google Sheets for PostgreSQL, Supabase, or Airtable
  • Route notifications to Slack, Email, or Webhooks
  • Add pagination or multi-resume processing

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Decodo

Type / Role
@decodo/n8n-nodes-decodo.decodo - decodo
Config choices
Version 1

Block 3 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 4 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 5 - Split Out

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 6 - Notify User

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 7 - Store to Database

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 8 - Extract HTML

Type / Role
n8n-nodes-base.html - html
Config choices
Version 1.2

Block 9 - Job Application Extractor

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 10 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Download Resume

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 16 - Extract Resume

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1.1

Block 17 - Google Gemini Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 18 - Resume Summarizer

Type / Role
@n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices
Version 2.1

Block 19 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Get Content

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

3. Summary Table

Workflow Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram
Complexity advanced
Nodes 20
Categories HR, AI Summarization
Author Rully Saputra
Published 14 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11774/11774.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automate job matching with Gemini AI, Decodo scraping & resume analysis to Telegram do?

AI Job Matcher with Decodo, Gemini AI & Resume Analysis Sign up for Decodo — get better pricing here Who’s it for This workflow is built for job seekers, recruite...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.