Blue Code This workflow corresponds to n8n.io template #6326 — we link there as the canonical source.
This workflow follows the Gmail Trigger → HTTP Request 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": "xb8FwafQZg1wepQB",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "CV Parser - Email",
"tags": [],
"nodes": [
{
"id": "f2e88168-af09-48bf-b921-5e0a2ca0bc02",
"name": "Message a model",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-768,
-1200
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-nano",
"cachedResultName": "GPT-4.1-NANO"
},
"options": {},
"messages": {
"values": [
{
"content": "=You're an HR assistant. I will provide you with text from a PDF document. \n\n1. First, determine if it's a CV/resume.\n2. If it is, extract the following fields:\n- full_name\n- email\n- phone\n- location\n- job_title\n- years_experience\n- skills (as an array)\n- education (as an array of strings)\n- languages\n- certifications\n- linkedin\n- availability\n\n3. Return the result as a JSON object with those fields. \nIf it's not a CV, just return: { \"is_cv\": false }\nHere is the document text:\n\n{{ $json.body.ParsedResults[0].ParsedText }}\n"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "093e9f3f-22a7-4923-8066-35a31e06e7bd",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1216,
-1200
],
"parameters": {
"url": "https://api.ocr.space/parse/image",
"method": "POST",
"options": {
"timeout": 40000,
"response": {
"response": {
"neverError": true,
"fullResponse": true
}
}
},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "file",
"parameterType": "formBinaryData",
"inputDataFieldName": "data"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "apikey",
"value": "={{ $vars.OCR_SPACE_API_KEY }}"
}
]
}
},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "6cd96d95-3475-41fd-8170-735c4f237f97",
"name": "If1",
"type": "n8n-nodes-base.if",
"position": [
-992,
-1200
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c9c8336a-a558-4a5a-a9a3-9f717624cfb8",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.statusCode }}",
"rightValue": 200
},
{
"id": "ef368fac-d040-454b-beda-26bc9b2518f3",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.statusCode }}",
"rightValue": 300
}
]
}
},
"typeVersion": 2.2
},
{
"id": "5be10d7b-3bd8-4062-90c0-3e93d31e0e89",
"name": "If2",
"type": "n8n-nodes-base.if",
"position": [
304,
-1200
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fdf2f089-2b6e-45bc-97fb-35a2df0ca330",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $items(\"Get many entries\").length }}",
"rightValue": 1
},
{
"id": "14322e28-3390-4fde-a640-83037d7bee6c",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ Object.keys($items(\"Get many entries\")[0].json).length }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2.2
},
{
"id": "55c610db-85e7-4d7f-87da-55ef5a343838",
"name": "Gmail Trigger",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-1664,
-1200
],
"parameters": {
"simple": false,
"filters": {
"q": "has:attachment"
},
"options": {
"downloadAttachments": true
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "e2cda470-f29a-44ad-b43c-f3520b7d394f",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
-1440,
-1200
],
"parameters": {
"jsCode": "const attachmentsArr = Object.values($input.item.binary);\n\nconst output = [];\nfor (const attachment of attachmentsArr) {\n if (attachment.mimeType === 'application/pdf') {\n output.push({\n json: {\n fileName: attachment.fileName\n },\n binary: {\n data: attachment\n }\n });\n }\n}\n\nreturn output;\n"
},
"typeVersion": 2
},
{
"id": "6edaa81b-dbee-46e1-9183-95e2ad6b2e9f",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-368,
-1200
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1325d367-f8de-457a-bcfc-9f037a7360b8",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.message.content.email !== null}}",
"rightValue": "="
}
]
}
},
"typeVersion": 2.2
},
{
"id": "9110b3ca-31e9-4158-9739-4ebf545cc9d4",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1664,
-1952
],
"parameters": {
"width": 448,
"height": 688,
"content": "### \ud83e\udde0 CV Parser - Email to Notion\n\nThis workflow automates the extraction and organization of candidate data from CVs received via email.\n\n### \ud83d\udee0\ufe0f Workflow Overview\n\n1. **Email Trigger** \n Monitors a Gmail inbox for new emails with PDF attachments.\n\n2. **PDF Extraction & OCR** \n Filters PDF files and extracts their text content using OCR.space.\n\n3. **AI-Powered CV Parsing** \n Sends the extracted text to GPT to:\n - Detect if the file is a CV/resume\n - Extract structured data like name, email, phone, location, skills, experience, education, and more\n\n4. **Field Mapping** \n Aligns the extracted data with the fields in your Notion database.\n\n5. **Duplicate Check** \n Looks up existing entries in Notion using the phone number to avoid duplicates.\n\n6. **Record Creation** \n Creates a new Notion entry with the parsed candidate data if no duplicate is found.\n"
},
"typeVersion": 1
},
{
"id": "dca82c5d-aac9-4461-b243-28ac52904742",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1184,
-1536
],
"parameters": {
"color": 5,
"height": 272,
"content": "### \ud83d\udccc Notes\n\n- Only processes emails with PDF attachments \n- Skips non-CV documents automatically \n- Checks for duplicates by email before creating a new Notion entry\n"
},
"typeVersion": 1
},
{
"id": "1545c208-d1c0-41c0-ada2-fdd6172317b4",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1184,
-1952
],
"parameters": {
"color": 4,
"height": 384,
"content": "### \u2705 Requirements\n\n- Gmail account with OAuth2 connected in n8n \n- OCR space API Key \n- OpenAI API Key (must be set either manually or in the system variables) \n- Notion integration connected, with a database containing fields like: \n `Name`, `Email`, `Phone`, `Location`, `Experience`, `Education`, `Languages`, `LinkedIn` \n *(Fields can be adjusted in the final Notion node.)*\n\n"
},
"typeVersion": 1
},
{
"id": "172f7079-1774-4f3e-a006-0a9472f1ab9a",
"name": "Map Fields",
"type": "n8n-nodes-base.set",
"position": [
-144,
-1200
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6366bf8a-2675-405f-9f4d-e40fe3403126",
"name": "message.content.full_name",
"type": "string",
"value": "={{ $json.message.content.full_name }}"
},
{
"id": "612483ea-463e-4384-a207-139a96b3b521",
"name": "message.content.email",
"type": "string",
"value": "={{ $json.message.content.email }}"
},
{
"id": "7f59e751-f5f0-4827-a423-aa76afa3294b",
"name": "message.content.location",
"type": "string",
"value": "={{ $json.message.content.location }}"
},
{
"id": "9b78e65b-3735-4a72-b7fd-85c87fcbf0e7",
"name": "message.content.phone",
"type": "string",
"value": "={{ $json.message.content.phone }}"
},
{
"id": "17350c31-8035-4062-995a-6af30741220f",
"name": "message.content.years_experience",
"type": "string",
"value": "={{ $json.message.content.years_experience || null }}"
},
{
"id": "630b295d-1a5b-45af-9b31-7b8a53e4bb42",
"name": "message.content.education",
"type": "array",
"value": "={{ $json.message.content.education }}"
},
{
"id": "592f7b61-a42a-494d-a6f3-bd05e6e238a7",
"name": "message.content.languages",
"type": "array",
"value": "={{ $json.message.content.languages }}"
},
{
"id": "7f82a821-5c72-4585-937a-ca5e5f58b8d3",
"name": "message.content.linkedin",
"type": "string",
"value": "={{ $json.message.content.linkedin || null }}"
},
{
"id": "7c30e83d-8541-4e47-94d6-62faee08473a",
"name": "",
"type": "string",
"value": ""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1a935777-1de1-46f3-8b5c-3e9403b5357b",
"name": "Create entry",
"type": "n8n-nodes-base.notion",
"position": [
528,
-1200
],
"parameters": {
"options": {},
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "239d5e39-f780-8048-9c64-d2a9755ff9a3",
"cachedResultUrl": "https://www.notion.so/239d5e39f78080489c64d2a9755ff9a3",
"cachedResultName": "Candidates"
},
"propertiesUi": {
"propertyValues": [
{
"key": "Email|email",
"emailValue": "={{ $('Map Fields').item.json.message.content.email }}"
},
{
"key": "Name|title",
"title": "={{ $('Map Fields').item.json.message.content.full_name }}"
},
{
"key": "Phone|phone_number",
"phoneValue": "={{ $('Map Fields').item.json.message.content.phone }}"
},
{
"key": "Location|rich_text",
"textContent": "={{ $('Map Fields').item.json.message.content.location }}"
},
{
"key": "Years of Experience|rich_text",
"textContent": "={{ $('Map Fields').item.json.message.content.years_experience }}"
},
{
"key": "Education|rich_text",
"textContent": "={{ $('Map Fields').item.json.message.content.education.join('/') }}"
},
{
"key": "Languages|rich_text",
"textContent": "={{ $('Map Fields').item.json.message.content.languages.join(', ') }}"
},
{
"key": "LinkedIn|url",
"urlValue": "={{ $('Map Fields').item.json.message.content.linkedin }}"
},
{
"key": "Application Date|date",
"date": "={{ new Date($now).toLocaleString() }}\n",
"timezone": "Europe/Madrid"
}
]
}
},
"credentials": {
"notionApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.2
},
{
"id": "2781847d-c520-45c4-8e79-8ede72bc980e",
"name": "Get many entries",
"type": "n8n-nodes-base.notion",
"position": [
80,
-1200
],
"parameters": {
"filters": {
"conditions": [
{
"key": "Email|email",
"condition": "equals",
"emailValue": "={{ $json.message.content.email }}"
}
]
},
"options": {},
"resource": "databasePage",
"operation": "getAll",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "239d5e39-f780-8048-9c64-d2a9755ff9a3",
"cachedResultUrl": "https://www.notion.so/239d5e39f78080489c64d2a9755ff9a3",
"cachedResultName": "Candidates"
},
"filterType": "manual"
},
"credentials": {
"notionApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.2,
"alwaysOutputData": true
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f333a874-c73d-49c5-b54e-546ddafd8878",
"connections": {
"If": {
"main": [
[
{
"node": "Map Fields",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Message a model",
"type": "main",
"index": 0
}
],
[]
]
},
"If2": {
"main": [
[
{
"node": "Create entry",
"type": "main",
"index": 0
}
],
[]
]
},
"Code": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"Map Fields": {
"main": [
[
{
"node": "Get many entries",
"type": "main",
"index": 0
}
]
]
},
"Create entry": {
"main": [
[]
]
},
"HTTP Request": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
]
]
},
"Gmail Trigger": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Message a model": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Get many entries": {
"main": [
[
{
"node": "If2",
"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.
gmailOAuth2notionApiopenAiApi
Pro
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About this workflow
It allows you to automate candidate retrieval and onboarding in your HR processes. It monitors a Gmail address for new emails with a PDF attachment It expects the PDF to be a candidate’s CV, extracts the text using OCR, and then structures the data using ChatGPT Once the data is…
Source: https://n8n.io/workflows/6326/ — original creator credit. Request a take-down →
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Overview
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