Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets

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1. Workflow Overview

Summary This workflow automates the early stage job application process using AI. It: accepts a job link from Telegram extracts and normalizes the URL scrapes the job page evaluates job fit against...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.vectorstorepinecone, @n8n/n8n-nodes-langchain.documentdefaultdataloader, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets
Workflow name: Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets

Summary

This workflow automates the early-stage job application process using AI.

It:

accepts a job link from Telegram
extracts and normalizes the URL
scrapes the job page
evaluates job fit against resume context stored in Pinecone
asks for user approval if the role is a good match
generates application materials like:
cover letter
recruiter email draft
resume improvement suggestions
logs the application in Google Sheets
creates supporting files in Google Drive
sends status updates back on Telegram

Why this is useful

This helps reduce the manual effort involved in checking roles, deciding whether to apply, and preparing customized application material.

Stack used

n8n
Telegram
OpenAI
Pinecone
Apify
Google Sheets
Google Drive
Gmail

Workflow overview

User sends a job link on Telegram
AI extracts and validates the link
Job page is scraped and normalized
Resume context is retrieved from Pinecone
AI calculates fit score
If fit is low, user gets a rejection message
If fit is good, user is asked for approval
On approval, the workflow generates application assets
A tracker entry is added and the user gets a final update

Notes

Resume data is retrieved from a vector database
Application materials are generated only after approval
The workflow is designed to be modular and can be extended with auto-apply, ATS scoring, or multi-channel alerts later

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 - Sticky Note9

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

Block 2 - Sticky Note10

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

Block 3 - Sticky Note11

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

Block 4 - Save Profile Vectors to Pinecone

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

Block 5 - Load Document Data

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 6 - Download File from Google Drive

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

Block 7 - Create OpenAI Embeddings

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 8 - Recursive Text Splitter

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

Block 9 - Telegram URL Trigger

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

Block 10 - Analyze URL Contents

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 11 - Construct Input Variables

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 12 - Send URL Confirmation on Telegram

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

Block 13 - Switch by URL Validity

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

Block 14 - Extract Content with Apify

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

Block 15 - Transform Job Data Format

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 16 - OpenAI URL Parsing Agent

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

Block 17 - Retrieve Job Content with Apify

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

Block 18 - Assess Job-Fit Suitability

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 19 - Compile Fit Analysis Report

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 20 - Decide on Fit Status

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

Block 21 - Send Rejection Notice on Telegram

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

Block 22 - Seek Job Approval via Telegram

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

Block 23 - Route by Approval Status

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

Block 24 - Prepare Application Kit

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Showing the first 24 of 46 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets
Complexity	advanced
Nodes	46
Categories	Personal Productivity, AI Chatbot
Author	Harsh Goyal
Published	03 Apr 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14667/14667.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets do?

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 Personal Productivity, AI Chatbot use case.

Harsh Goyal

1 workflow

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.vectorstorepinecone @n8n/n8n-nodes-langchain.documentdefaultdataloader n8n-nodes-base.googledrive @n8n/n8n-nodes-langchain.embeddingsopenai @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 03 Apr 2026

Likes 0

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Install path: /data/workflows/14667/14667.json

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Evaluate job fit and generate application assets from Telegram links with OpenAI, Pinecone, Apify and Google Sheets

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Summary

Why this is useful

Stack used

Workflow overview

Notes

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note9

Block 2 - Sticky Note10

Block 3 - Sticky Note11

Block 4 - Save Profile Vectors to Pinecone

Block 5 - Load Document Data

Block 6 - Download File from Google Drive

Block 7 - Create OpenAI Embeddings

Block 8 - Recursive Text Splitter

Block 9 - Telegram URL Trigger

Block 10 - Analyze URL Contents

Block 11 - Construct Input Variables

Block 12 - Send URL Confirmation on Telegram

Block 13 - Switch by URL Validity

Block 14 - Extract Content with Apify

Block 15 - Transform Job Data Format

Block 16 - OpenAI URL Parsing Agent

Block 17 - Retrieve Job Content with Apify

Block 18 - Assess Job-Fit Suitability

Block 19 - Compile Fit Analysis Report

Block 20 - Decide on Fit Status

Block 21 - Send Rejection Notice on Telegram

Block 22 - Seek Job Approval via Telegram

Block 23 - Route by Approval Status

Block 24 - Prepare Application Kit

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions