Abdullah Alshiekh This workflow corresponds to n8n.io template #6897 — we link there as the canonical source.
This workflow follows the Agent → Google Drive recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "[WORKFLOW_ID_REMOVED]",
"name": "HR CVs Filter",
"tags": [],
"nodes": [
{
"id": "cbc5c20a-7d3e-49b9-8c05-9e5657cb7ecf",
"name": "Message Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-1232,
352
],
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "dcd295a9-1f02-40e3-8cdc-ecba77eb5a86",
"name": "File Validation",
"type": "n8n-nodes-base.if",
"position": [
-944,
352
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "ff01b24f-92a6-4e95-9349-5f78a7ff1e74",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.message.document.mime_type === 'application/pdf' }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ab833633-da0d-4977-ab62-329b94a9a6eb",
"name": "Download CV File",
"type": "n8n-nodes-base.httpRequest",
"position": [
-624,
256
],
"parameters": {
"url": "=https://api.telegram.org/bot[YOUR_BOT_TOKEN]/getFile?file_id={{ $json.message.document.file_id }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "a4d42d7f-dcc8-4fc0-8ffd-e8113d7b74b7",
"name": "Download Actual File",
"type": "n8n-nodes-base.httpRequest",
"position": [
-384,
256
],
"parameters": {
"url": "=https://api.telegram.org/file/bot[YOUR_BOT_TOKEN]/{{ $json.result.file_path }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "bfc4232c-670f-4f0b-95a6-ae980cdc1f00",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
192,
496
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "e91d4847-c1f0-4600-94d1-2ff61da3e68f",
"name": "Extract cv content",
"type": "n8n-nodes-base.extractFromFile",
"position": [
0,
256
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "84a28f1c-27f5-4aa1-9f71-1c3464e213d2",
"name": "Qualify CV Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
192,
256
],
"parameters": {
"text": "=You are an expert HR assistant specializing in CV analysis and candidate qualification.From {{ $json.text }} Your task is to extract key information from CV content and categorize candidates based on their experience level.\nInstructions:\nAnalyze the provided CV text and extract the following information with high accuracy:\n\nFull Name: Extract the candidate's complete name (first and last name)\nPhone Number: Find and format phone numbers (include country code if available without + )\nEmail Address: Extract the primary email address\nJob Title: Identify the current or most recent job title/position\nExperience Analysis: Calculate total years of professional experience and categorize\n\nExperience Categorization Rules:\n\nJunior: 0-3 years of professional experience\nSenior: 3-6 years of professional experience\nExpert: 6+ years of professional experience\n\nExperience Calculation Guidelines:\n\nCount only professional work experience (internships count as 0.5x)\nCalculate total duration from all positions\nIf less than 12 months, express in months\nIf 12+ months, express in years (round to 1 decimal place)\nOverlapping positions should not be double-counted\nConsider career gaps but focus on actual work experience\n\n\nOutput Format:\nReturn ONLY a valid JSON object in this exact format:\n\n{\n \"name\": \"Full Name Here\",\n \"phone_number\": \"+1234567890 or Not Found\",\n \"email\": \"email@example.com or Not Found\",\n \"job_title\": \"Current/Recent Job Title or Not Found\",\n \"experience\": [\"Category: X.X years\"]\n}",
"options": {},
"promptType": "define"
},
"typeVersion": 2.1
},
{
"id": "b4721c8b-26b4-4d16-a028-4bba586de195",
"name": "PDF Request",
"type": "n8n-nodes-base.telegram",
"position": [
-928,
688
],
"parameters": {
"text": "Please send your CV in PDF format only",
"chatId": "={{ $json.message.chat.id }}",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "299bf1d9-da18-422b-86fc-88e3ced3a966",
"name": "Store CV",
"type": "n8n-nodes-base.googleDrive",
"position": [
0,
0
],
"parameters": {
"name": "={{ $('Message Trigger').item.json.message.document.file_name }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "[YOUR_FOLDER_ID]",
"cachedResultUrl": "https://drive.google.com/drive/folders/[YOUR_FOLDER_ID]",
"cachedResultName": "HR-CVs"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "9a11470f-8693-4305-a747-589e10883227",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
0,
544
],
"parameters": {
"mode": "chooseBranch",
"useDataOfInput": 2
},
"typeVersion": 3.2
},
{
"id": "d1e8219e-1a93-4d2b-9b95-2788c46f20b8",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1280,
272
],
"parameters": {
"color": 3,
"width": 192,
"height": 224,
"content": "Captures incoming CV PDFs from candidates"
},
"typeVersion": 1
},
{
"id": "f54b90e6-6f6e-47cb-ba08-5bb30a19c56b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-992,
272
],
"parameters": {
"color": 4,
"width": 192,
"height": 224,
"content": "Filters out non-PDF submissions"
},
"typeVersion": 1
},
{
"id": "8a4f5f7e-4629-442d-a615-ec316dab9107",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-672,
176
],
"parameters": {
"color": 5,
"width": 192,
"height": 208,
"content": " Gets the file download link from Telegram"
},
"typeVersion": 1
},
{
"id": "dbffccb2-9d00-41ca-b72a-77552d4bef79",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-432,
176
],
"parameters": {
"color": 4,
"width": 192,
"height": 208,
"content": "Downloads the actual PDF file"
},
"typeVersion": 1
},
{
"id": "cda722d0-a7c3-4ced-bb09-158eea9007d3",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-960,
576
],
"parameters": {
"color": 5,
"width": 176,
"height": 256,
"content": " Sends a message asking the user to resend the CV in PDF format if validation fails."
},
"typeVersion": 1
},
{
"id": "83aad1ce-0738-483d-a0df-9d04324d26cf",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-48,
-64
],
"parameters": {
"color": 5,
"width": 192,
"height": 208,
"content": "Uploads the downloaded PDF file to Google Drive."
},
"typeVersion": 1
},
{
"id": "7d5e134a-cc84-43b0-9e43-f258e1cc28b3",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-48,
448
],
"parameters": {
"color": 5,
"width": 192,
"height": 240,
"content": "Combines the file storage and download paths to pass data forward to extraction."
},
"typeVersion": 1
},
{
"id": "8cf9d727-a25c-48e9-a65f-e621c0ea7ff2",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-48,
192
],
"parameters": {
"color": 4,
"width": 176,
"height": 224,
"content": "Extracts text content from the uploaded PDF file for analysis."
},
"typeVersion": 1
},
{
"id": "dc51feca-11d5-4f83-8b50-82d45929d2d1",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
208,
160
],
"parameters": {
"color": 6,
"height": 240,
"content": "Analyzes CV text and extracts structured data like name, phone number, email, experience, and job title."
},
"typeVersion": 1
},
{
"id": "b9cfbd21-df7c-4d25-ad4a-c02c1ff3e533",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
544,
160
],
"parameters": {
"color": 5,
"width": 192,
"height": 256,
"content": " Cleans and maps the structured JSON AI output into individual fields for use in Google Sheets"
},
"typeVersion": 1
},
{
"id": "59bbda91-ff07-437d-a384-1e513faeaa3a",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
768,
144
],
"parameters": {
"color": 4,
"width": 224,
"height": 272,
"content": "Saves the extracted candidate information and CV link into a Google Sheet, updating existing entries if needed."
},
"typeVersion": 1
},
{
"id": "ad464c7a-8b69-47ad-9b9f-8ba57af6d728",
"name": "Clean & Map Extracted Data",
"type": "n8n-nodes-base.set",
"position": [
608,
256
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "91323867-f4bf-4bcc-a696-6524795e082f",
"name": "full name",
"type": "string",
"value": "={{ JSON.parse($json[\"output\"].replace(/```json|```/g, \"\").trim()).name }}\n"
},
{
"id": "33d44685-8463-4730-8bb4-c1f006f6a466",
"name": "phone number",
"type": "string",
"value": "={{ JSON.parse($json[\"output\"].replace(/```json|```/g, \"\").trim()).phone_number }}\n"
},
{
"id": "915dec92-ad74-423a-a81e-30b027100eb1",
"name": "experiene",
"type": "string",
"value": "={{ JSON.parse($json[\"output\"].replace(/```json|```/g, \"\").trim()).experience }}"
},
{
"id": "5c7cbab9-8090-436e-962f-6626f6855393",
"name": "job title",
"type": "string",
"value": "={{ JSON.parse($json[\"output\"].replace(/```json|```/g, \"\").trim()).job_title }}\n"
},
{
"id": "27984293-5bcd-4b43-9316-95ae05200018",
"name": "email",
"type": "string",
"value": "={{ JSON.parse($json[\"output\"].replace(/```json|```/g, \"\").trim()).email }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f0c044fa-2d29-4db6-b723-a735f799aef7",
"name": "Save Candidate Info to Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
800,
256
],
"parameters": {
"columns": {
"value": {
"CV": "=\"CV\": \"=https://drive.google.com/file/d/{{ $node['Store CV'].json.id }}/view\"",
"Name": "={{ $json[\"full name\"] }}",
"Email": "={{ $json.email }}",
"Job Title": "={{ $json['job title'] }}",
"Experience": "={{ $json.experiene }}",
"Phone Number": "={{ $json[\"phone number\"] }}"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Experience",
"type": "string",
"display": true,
"required": false,
"displayName": "Experience",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Phone Number",
"type": "string",
"display": true,
"required": false,
"displayName": "Phone Number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CV",
"type": "string",
"display": true,
"required": false,
"displayName": "CV",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Job Title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Job Title",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Name"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/[YOUR_SPREADSHEET_ID]/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "[YOUR_SPREADSHEET_ID]",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/[YOUR_SPREADSHEET_ID]/edit",
"cachedResultName": "HR CV Filter"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.6
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "[VERSION_ID_REMOVED]",
"connections": {
"Merge": {
"main": [
[
{
"node": "Extract cv content",
"type": "main",
"index": 0
}
]
]
},
"Store CV": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"File Validation": {
"main": [
[
{
"node": "Download CV File",
"type": "main",
"index": 0
}
],
[
{
"node": "PDF Request",
"type": "main",
"index": 0
}
]
]
},
"Message Trigger": {
"main": [
[
{
"node": "File Validation",
"type": "main",
"index": 0
}
]
]
},
"Download CV File": {
"main": [
[
{
"node": "Download Actual File",
"type": "main",
"index": 0
}
]
]
},
"Qualify CV Agent": {
"main": [
[
{
"node": "Clean & Map Extracted Data",
"type": "main",
"index": 0
}
]
]
},
"Extract cv content": {
"main": [
[
{
"node": "Qualify CV Agent",
"type": "main",
"index": 0
}
]
]
},
"Download Actual File": {
"main": [
[
{
"node": "Store CV",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Qualify CV Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Clean & Map Extracted Data": {
"main": [
[
{
"node": "Save Candidate Info to Sheet",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApigooglePalmApigoogleSheetsOAuth2ApitelegramApi
Pro
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About this workflow
Manually reviewing CVs from Telegram job applicants is slow, error-prone, and often inconsistent. This workflow automates the collection, analysis, and storage of CVs — saving HR teams hours while ensuring structured, high-quality candidate data for fast decision-making.
Source: https://n8n.io/workflows/6897/ — original creator credit. Request a take-down →
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