{
"nodes": [
{
"id": "79849bb5-00a4-42e6-92c4-b06c7a20eb3e",
"name": "OpenAI Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1580,
340
],
"parameters": {
"model": "gpt-4-turbo-preview",
"options": {
"temperature": 0,
"responseFormat": "json_object"
}
},
"credentials": {
"openAiApi": {
"id": "jazew1WAaSRrjcHp",
"name": "OpenAI (workfloows@gmail.com)"
}
},
"typeVersion": 1
},
{
"id": "85df0106-1f78-4412-8751-b84d417c8bf9",
"name": "Convert education to HTML",
"type": "n8n-nodes-base.code",
"position": [
2420,
180
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function convertToHTML(list) {\n let html = '';\n\n list.forEach((education, index) => {\n if (index > 0) {\n html += '<br \/><br \/>'; \/\/ Add a new line if it's not the first item\n }\n html += `<b>Institution:<\/b> ${education.institution}<br \/>\n<b>Start year:<\/b> ${education.start_year}<br \/>\n<b>Degree:<\/b> ${education.degree}`;\n });\n\n return html;\n}\n\n\/\/ Assuming payload is already defined\nconst payload = $input.item.json.education;\n\nconst htmlOutput = convertToHTML(payload);\nreturn {\n htmlOutput\n};"
},
"typeVersion": 2
},
{
"id": "da4fc45d-712f-4171-b72a-66b74b4d8e05",
"name": "Auto-fixing Output Parser",
"type": "@n8n\/n8n-nodes-langchain.outputParserAutofixing",
"position": [
1820,
340
],
"parameters": [],
"typeVersion": 1
},
{
"id": "225a7513-6fd4-4672-9b40-b10b00f121a7",
"name": "OpenAI Chat Model1",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1740,
520
],
"parameters": {
"options": {
"temperature": 0
}
},
"credentials": {
"openAiApi": {
"id": "jazew1WAaSRrjcHp",
"name": "OpenAI (workfloows@gmail.com)"
}
},
"typeVersion": 1
},
{
"id": "0606c99d-a080-4277-b071-1bc0c93bb2e3",
"name": "Structured Output Parser",
"type": "@n8n\/n8n-nodes-langchain.outputParserStructured",
"position": [
1960,
520
],
"parameters": {
"jsonSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"personal_info\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"address\": { \"type\": \"string\" },\n \"email\": { \"type\": \"string\", \"format\": \"email\" },\n \"github\": { \"type\": \"string\"},\n \"linkedin\": { \"type\": \"string\" }\n }\n },\n \"employment_history\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"position\": { \"type\": \"string\" },\n \"company\": { \"type\": \"string\" },\n \"duration\": { \"type\": \"string\" },\n \"responsibilities\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"education\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"institution\": { \"type\": \"string\" },\n \"start_year\": { \"type\": \"integer\" },\n \"degree\": { \"type\": \"string\" }\n }\n }\n },\n \"projects\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"year\": { \"type\": \"integer\" },\n \"description\": { \"type\": \"string\" },\n \"technologies\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"volunteering\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"activity\": { \"type\": \"string\" },\n \"location\": { \"type\": \"string\" },\n \"date\": { \"type\": \"string\" },\n \"description\": { \"type\": \"string\" }\n }\n }\n },\n \"programming_languages\": {\n \"type\": \"object\",\n \"properties\": {\n \"languages\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n },\n \"tools\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n },\n \"methodologies\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n },\n \"foreign_languages\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"language\": { \"type\": \"string\" },\n \"level\": { \"type\": \"string\" }\n }\n }\n }\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "027975cd-768a-4048-858d-9060f48ab622",
"name": "Convert employment history to HTML",
"type": "n8n-nodes-base.code",
"position": [
2420,
-20
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function convertToHTML(list) {\n let html = '';\n\n list.forEach((item, index) => {\n if (index > 0) {\n html += '<br \/>'; \/\/ Add a new line if it's not the first item\n }\n html += `<b>Position:<\/b> ${item.position}\n<b>Company:<\/b> ${item.company}\n<br \/>\n<b>Duration:<\/b> ${item.duration}\n<br \/>\n<b>Responsibilities:<\/b>\n`;\n\n item.responsibilities.forEach((responsibility, i) => {\n html += `- ${responsibility}`;\n if (i < item.responsibilities.length - 1 || index < list.length - 1) {\n html += '<br \/>'; \/\/ Add new line if it's not the last responsibility in the last item\n }\n });\n });\n\n return html;\n}\n\n\/\/ Assuming payload is already defined\nconst payload = $input.item.json.employment_history;\n\nconst htmlOutput = convertToHTML(payload);\nreturn {\n htmlOutput\n};"
},
"typeVersion": 2
},
{
"id": "823a241d-1c68-40a9-8f2c-f1bdfaab7603",
"name": "Convert projects to HTML",
"type": "n8n-nodes-base.code",
"position": [
2420,
380
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function convertToHTML(list) {\n let html = '';\n\n list.forEach((project, index) => {\n if (index > 0) {\n html += '<br \/>'; \/\/ Add a new line if it's not the first project\n }\n html += `<b>Name:<\/b> ${project.name}<br \/>\n<b>Year:<\/b> ${project.year}<br \/>\n<b>Description:<\/b> ${project.description}<br \/><br \/>\n<b>Technologies:<\/b>\n<br \/>`;\n\n project.technologies.forEach((technology, i) => {\n html += `- ${technology}`;\n if (i < project.technologies.length - 1 || index < list.length - 1) {\n html += '<br \/>'; \/\/ Add new line if it's not the last technology in the last project\n }\n });\n });\n\n return html;\n}\n\n\/\/ Assuming payload is already defined\nconst payload = $input.item.json.projects;\n\nconst htmlOutput = convertToHTML(payload);\nreturn {\n htmlOutput\n};\n"
},
"typeVersion": 2
},
{
"id": "a12eb0e1-1cb9-4b83-a1ec-42dd8214f6bc",
"name": "Convert volunteering to HTML",
"type": "n8n-nodes-base.code",
"position": [
2420,
580
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function convertToHTML(list) {\n let html = '';\n\n list.forEach((event, index) => {\n if (index > 0) {\n html += '<br \/>'; \/\/ Add a new line if it's not the first volunteering event\n }\n html += `<b>Activity:<\/b> ${event.activity}<br \/>\n<b>Location:<\/b> ${event.location}<br \/>\n<b>Date:<\/b> ${event.date}<br \/>\n<b>Description:<\/b> ${event.description}<br \/>`;\n });\n\n return html;\n}\n\n\/\/ Assuming payload is already defined\nconst payload = $input.item.json.volunteering;\n\nconst htmlOutput = convertToHTML(payload);\nreturn {\n htmlOutput\n};\n"
},
"typeVersion": 2
},
{
"id": "70b67b80-d22d-4eea-8c97-3d2cb2b9bbfc",
"name": "Telegram trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
360,
340
],
"webhookId": "d6829a55-a01b-44ac-bad3-2349324c8515",
"parameters": {
"updates": [
"message"
],
"additionalFields": []
},
"credentials": {
"telegramApi": {
"id": "lStLV4zzcrQO9eAM",
"name": "Telegram (Resume Extractor)"
}
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "21bead1d-0665-44d5-b623-b0403c9abd6c",
"name": "Auth",
"type": "n8n-nodes-base.if",
"position": [
600,
340
],
"parameters": {
"options": [],
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7ca4b4c3-e23b-4896-a823-efc85c419467",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $json.message.chat.id }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2
},
{
"id": "de76d6ec-3b0e-44e0-943d-55547aac2e46",
"name": "No operation (unauthorized)",
"type": "n8n-nodes-base.noOp",
"position": [
860,
520
],
"parameters": [],
"typeVersion": 1
},
{
"id": "439f5e2c-be7d-486b-a1f1-13b09f77c2c8",
"name": "Check if start message",
"type": "n8n-nodes-base.if",
"position": [
860,
220
],
"parameters": {
"options": [],
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1031f14f-9793-488d-bb6b-a021f943a399",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.message.text }}",
"rightValue": "\/start"
}
]
}
},
"typeVersion": 2
},
{
"id": "af5f5622-c338-40c0-af72-90e124ed7ce1",
"name": "No operation (start message)",
"type": "n8n-nodes-base.noOp",
"position": [
1120,
360
],
"parameters": [],
"typeVersion": 1
},
{
"id": "2efae11a-376b-44aa-ab91-9b3dea82ede0",
"name": "Get file",
"type": "n8n-nodes-base.telegram",
"position": [
1120,
120
],
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "lStLV4zzcrQO9eAM",
"name": "Telegram (Resume Extractor)"
}
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "88fd1002-ad2c-445f-92d4-11b571db3788",
"name": "Extract text from PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1380,
120
],
"parameters": {
"options": [],
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "9dfc204b-c567-418a-93a3-9b72cf534a8c",
"name": "Set parsed fileds",
"type": "n8n-nodes-base.set",
"position": [
2040,
120
],
"parameters": {
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "314c771a-5ff2-484f-823b-0eab88f43ea3",
"name": "Personal info",
"type": "n8n-nodes-base.set",
"position": [
2420,
-380
],
"parameters": {
"fields": {
"values": [
{
"name": "personal_info",
"stringValue": "=<b><u>Personal info<\/u><\/b>\n<br \/><br \/>\n<b>Name:<\/b> {{ $json.personal_info.name }}\n<br \/>\n<b>Address:<\/b> {{ $json.personal_info.address }}\n<br \/>\n<b>Email:<\/b> {{ $json.personal_info.email }}\n<br \/>\n<b>GitHub:<\/b> {{ $json.personal_info.github }}\n<br \/>"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "be6b32e8-6000-4235-a723-0e22828ead45",
"name": "Technologies",
"type": "n8n-nodes-base.set",
"position": [
2420,
-200
],
"parameters": {
"fields": {
"values": [
{
"name": "technologies",
"stringValue": "=<b><u>Technologies<\/u><\/b>\n<br \/><br \/>\n<b>Programming languages:<\/b> {{ $json.programming_languages.languages.join(', ') }}\n<br \/>\n<b>Tools:<\/b> {{ $json.programming_languages.tools.join(', ') }}\n<br \/>\n<b>Methodologies:<\/b> {{ $json.programming_languages.methodologies.join(', ') }}\n<br \/>"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "ab726d61-84b8-4af7-a195-33e1add89153",
"name": "Employment history",
"type": "n8n-nodes-base.set",
"position": [
2640,
-20
],
"parameters": {
"fields": {
"values": [
{
"name": "employment_history",
"stringValue": "=<b><u>Employment history<\/u><\/b>\n<br \/><br \/>\n{{ $json[\"htmlOutput\"] }}"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "692f9555-6102-4d3c-b0a1-868e27e3c343",
"name": "Education",
"type": "n8n-nodes-base.set",
"position": [
2640,
180
],
"parameters": {
"fields": {
"values": [
{
"name": "education",
"stringValue": "=<b><u>Education<\/u><\/b>\n<br \/><br \/>\n{{ $json[\"htmlOutput\"] }}"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "258728f2-1f03-4786-8197-feb9f1bc4dfe",
"name": "Projects",
"type": "n8n-nodes-base.set",
"position": [
2640,
380
],
"parameters": {
"fields": {
"values": [
{
"name": "projects",
"stringValue": "=<b><u>Projects<\/u><\/b>\n<br \/><br \/>\n{{ $json[\"htmlOutput\"] }}"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "3c819ce4-235a-4b12-a396-d33dca9f80da",
"name": "Volunteering",
"type": "n8n-nodes-base.set",
"position": [
2640,
580
],
"parameters": {
"fields": {
"values": [
{
"name": "volunteering",
"stringValue": "=<b><u>Volunteering<\/u><\/b>\n<br \/><br \/>\n{{ $json[\"htmlOutput\"] }}"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "41bd7506-7330-4c25-8b43-aa3c836736fc",
"name": "Merge education and employment history",
"type": "n8n-nodes-base.merge",
"position": [
2880,
100
],
"parameters": {
"mode": "combine",
"options": [],
"combinationMode": "multiplex"
},
"typeVersion": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "d788da36-360b-4009-82ad-2f206fad8e53",
"name": "Merge projects and volunteering",
"type": "n8n-nodes-base.merge",
"position": [
2880,
500
],
"parameters": {
"mode": "combine",
"options": [],
"combinationMode": "multiplex"
},
"typeVersion": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "57c20e19-3d84-41c0-a415-1d55cb031da1",
"name": "Merge personal info and technologies",
"type": "n8n-nodes-base.merge",
"position": [
3140,
-160
],
"parameters": {
"mode": "combine",
"options": [],
"combinationMode": "multiplex"
},
"typeVersion": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "f12be010-8375-4ff7-ba8e-9c2c870f648b",
"name": "Merge all",
"type": "n8n-nodes-base.merge",
"position": [
3400,
200
],
"parameters": {
"mode": "combine",
"options": [],
"combinationMode": "multiplex"
},
"typeVersion": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "d6428167-2c75-42a5-a905-7590ff1d6a25",
"name": "Set final data",
"type": "n8n-nodes-base.set",
"position": [
3620,
200
],
"parameters": {
"fields": {
"values": [
{
"name": "output",
"stringValue": "={{ $json.personal_info }}\n<br \/><br \/>\n{{ $json.employment_history }}\n<br \/><br \/>\n{{ $json.education }}\n<br \/><br \/>\n{{ $json.projects }}\n<br \/><br \/>\n{{ $json.volunteering }}\n<br \/><br \/>\n{{ $json.technologies }}"
}
]
},
"include": "none",
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "9ea13c62-2e09-4b37-b889-66edaef1fcf1",
"name": "Convert raw to base64",
"type": "n8n-nodes-base.code",
"position": [
3840,
200
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const encoded = Buffer.from($json.output).toString('base64');\n\nreturn { encoded };"
},
"typeVersion": 2
},
{
"id": "c4474fa1-b1b5-432f-b30e-100201c9ec7c",
"name": "Convert to HTML",
"type": "n8n-nodes-base.convertToFile",
"position": [
4060,
200
],
"parameters": {
"options": {
"fileName": "index.html",
"mimeType": "text\/html"
},
"operation": "toBinary",
"sourceProperty": "encoded"
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "3c4d2010-1bdc-4f01-bb1a-bd0128017787",
"name": "Generate plain PDF doc",
"type": "n8n-nodes-base.httpRequest",
"position": [
4340,
200
],
"parameters": {
"url": "http:\/\/gotenberg:3000\/forms\/chromium\/convert\/html",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{
"name": "files",
"parameterType": "formBinaryData",
"inputDataFieldName": "data"
}
]
}
},
"typeVersion": 4.0999999999999996447286321199499070644378662109375
},
{
"id": "2b3cd55f-21a3-4c14-905f-82b158aa3fd0",
"name": "Send PDF to the user",
"type": "n8n-nodes-base.telegram",
"position": [
4640,
200
],
"parameters": {
"chatId": "={{ $('Telegram trigger').item.json[\"message\"][\"chat\"][\"id\"] }}",
"operation": "sendDocument",
"binaryData": true,
"additionalFields": {
"fileName": "={{ $('Set parsed fileds').item.json[\"personal_info\"][\"name\"].toLowerCase().replace(' ', '-') }}.pdf"
}
},
"credentials": {
"telegramApi": {
"id": "lStLV4zzcrQO9eAM",
"name": "Telegram (Resume Extractor)"
}
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "54fe1d2d-eb9d-4fe1-883f-1826e27ac873",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
540,
180
],
"parameters": {
"width": 226.2123456790121736048604361712932586669921875,
"height": 312.917333333333999689784832298755645751953125,
"content": "### Add chat ID\nRemember to set your actual ID to trigger automation from Telegram."
},
"typeVersion": 1
},
{
"id": "b193a904-260b-4d45-8a66-e3cb46fc7ce4",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
800,
83.43940740740782757711713202297687530517578125
],
"parameters": {
"width": 229.6493827160492173788952641189098358154296875,
"height": 293.54824691358015797959524206817150115966796875,
"content": "### Ignore start message\nWorkflow ignores initial`\/start` message sent to the bot."
},
"typeVersion": 1
},
{
"id": "d5c95d8f-b699-4a8e-9460-a4f5856b5e6f",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1066,
-20
],
"parameters": {
"width": 211.0024691358022437270847149193286895751953125,
"height": 302.4197530864199734423891641199588775634765625,
"content": "### Download resume file\nBased on file ID, node performs downloading of the file uploaded by user."
},
"typeVersion": 1
},
{
"id": "2de0751d-8e11-457e-8c38-a6dcca59190c",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1320,
-20
],
"parameters": {
"width": 217.8765432098763312751543708145618438720703125,
"height": 302.4197530864199734423891641199588775634765625,
"content": "### Extract text from PDF\nNode extracts readable text form PDF."
},
"typeVersion": 1
},
{
"id": "4b9ccab8-ff6c-408f-93fe-f148034860a0",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1580,
-20
],
"parameters": {
"width": 410.9479506172837091071414761245250701904296875,
"height": 302.4197530864199734423891641199588775634765625,
"content": "### Parse resume data\nCreate structured data from text extracted from resume. Chain uses OpenAI `gpt-4-turbo-preview` model and JSON response mode. **Adjust JSON schema in output parser to your needs.**"
},
"typeVersion": 1
},
{
"id": "bfb1d382-90fa-4bff-8c38-04e53bcf5f58",
"name": "Parse resume data",
"type": "@n8n\/n8n-nodes-langchain.chainLlm",
"position": [
1660,
120
],
"parameters": {
"prompt": "={{ $json.text }}",
"messages": {
"messageValues": [
{
"message": "Your task is to extract all necessary data such as first name, last name, experience, known technologies etc. from the provided resume text and return in well-unified JSON format. Do not make things up."
}
]
}
},
"typeVersion": 1.3000000000000000444089209850062616169452667236328125
},
{
"id": "7e8eb10a-f21c-4a9c-90b1-b71537b78356",
"name": "Merge other data",
"type": "n8n-nodes-base.merge",
"position": [
3140,
340
],
"parameters": {
"mode": "combine",
"options": [],
"combinationMode": "multiplex"
},
"typeVersion": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "7c4398de-7b4d-4095-b38f-eaf099d2991b",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2340,
-491.40740740740739056491293013095855712890625
],
"parameters": {
"width": 1196.844246913578217572649009525775909423828125,
"height": 1260.34567901234595410642214119434356689453125,
"content": "### Format HTML\nFormat HTML for each resume section (employment history, projects etc.)."
},
"typeVersion": 1
},
{
"id": "9de2f504-6ff0-4b00-8e0d-436c789b4e23",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
3580,
40
],
"parameters": {
"width": 638.6516543209876317632733844220638275146484375,
"height": 322.5837037037036907349829562008380889892578125,
"content": "### Create HTML file\nFrom formatted output create `index.html` file in order to run PDF conversion."
},
"typeVersion": 1
},
{
"id": "11abdff5-377e-490d-9136-15c24ff6a05e",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
4260,
39.83604938271645323766279034316539764404296875
],
"parameters": {
"color": 3,
"width": 262.0096790123453729393077082931995391845703125,
"height": 322.58370370370352020472637377679347991943359375,
"content": "### Convert file to PDF\nForm `index.html` create PDF using [Gotenberg](https:\/\/gotenberg.dev\/). If you're not familiar with this software, feel free to check out [my tutorial on YouTube](https:\/\/youtu.be\/bo15xdjXf1Y?si=hFZMTfjzfSOLOLPK)."
},
"typeVersion": 1
},
{
"id": "73fb81d0-5218-4311-aaec-7fa259d8cbd3",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
4560,
40
],
"parameters": {
"width": 262.0096790123453729393077082931995391845703125,
"height": 322.58370370370352020472637377679347991943359375,
"content": "### Send PDF file to user\nDeliver converted PDF to Telegram user (based on chat ID)."
},
"typeVersion": 1
},
{
"id": "bb5fa375-4cc9-4559-a014-7b618d6c5f32",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
-280,
128
],
"parameters": {
"width": 432.697695009906738050631247460842132568359375,
"height": 364.215082834446320703136734664440155029296875,
"content": "## \u26a0\ufe0f Note\n\nThis is *resume extractor* workflow that I had a pleasure to present during [n8n community hangout](https:\/\/youtu.be\/eZacuxrhCuo?si=KkJQrgQuvLxj-6FM&t=1701\n) on March 7, 2024.\n\n1. Remember to add your credentials and configure nodes.\n2. This node requires installed [Gotenberg](https:\/\/gotenberg.dev\/) for PDF generation. If you're not familiar with this software, feel free to check out [my tutorial on YouTube](https:\/\/youtu.be\/bo15xdjXf1Y?si=hFZMTfjzfSOLOLPK). If you don't want to self-host Gotenberg, you use other PDF generation provider (PDFMonkey, ApiTemplate or similar).\n3. If you like this workflow, please subscribe to [my YouTube channel](https:\/\/www.youtube.com\/@workfloows) and\/or [my newsletter](https:\/\/workfloows.com\/).\n\n**Thank you for your support!**"
},
"typeVersion": 1
}
],
"connections": {
"Auth": {
"main": [
[
{
"node": "Check if start message",
"type": "main",
"index": 0
}
],
[
{
"node": "No operation (unauthorized)",
"type": "main",
"index": 0
}
]
]
},
"Get file": {
"main": [
[
{
"node": "Extract text from PDF",
"type": "main",
"index": 0
}
]
]
},
"Projects": {
"main": [
[
{
"node": "Merge projects and volunteering",
"type": "main",
"index": 0
}
]
]
},
"Education": {
"main": [
[
{
"node": "Merge education and employment history",
"type": "main",
"index": 1
}
]
]
},
"Merge all": {
"main": [
[
{
"node": "Set final data",
"type": "main",
"index": 0
}
]
]
},
"Technologies": {
"main": [
[
{
"node": "Merge personal info and technologies",
"type": "main",
"index": 1
}
]
]
},
"Volunteering": {
"main": [
[
{
"node": "Merge projects and volunteering",
"type": "main",
"index": 1
}
]
]
},
"Personal info": {
"main": [
[
{
"node": "Merge personal info and technologies",
"type": "main",
"index": 0
}
]
]
},
"Set final data": {
"main": [
[
{
"node": "Convert raw to base64",
"type": "main",
"index": 0
}
]
]
},
"Convert to HTML": {
"main": [
[
{
"node": "Generate plain PDF doc",
"type": "main",
"index": 0
}
]
]
},
"Merge other data": {
"main": [
[
{
"node": "Merge all",
"type": "main",
"index": 1
}
]
]
},
"Telegram trigger": {
"main": [
[
{
"node": "Auth",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Parse resume data",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Parse resume data": {
"main": [
[
{
"node": "Set parsed fileds",
"type": "main",
"index": 0
}
]
]
},
"Set parsed fileds": {
"main": [
[
{
"node": "Convert employment history to HTML",
"type": "main",
"index": 0
},
{
"node": "Convert education to HTML",
"type": "main",
"index": 0
},
{
"node": "Convert projects to HTML",
"type": "main",
"index": 0
},
{
"node": "Personal info",
"type": "main",
"index": 0
},
{
"node": "Convert volunteering to HTML",
"type": "main",
"index": 0
},
{
"node": "Technologies",
"type": "main",
"index": 0
}
]
]
},
"Employment history": {
"main": [
[
{
"node": "Merge education and employment history",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert raw to base64": {
"main": [
[
{
"node": "Convert to HTML",
"type": "main",
"index": 0
}
]
]
},
"Extract text from PDF": {
"main": [
[
{
"node": "Parse resume data",
"type": "main",
"index": 0
}
]
]
},
"Check if start message": {
"main": [
[
{
"node": "Get file",
"type": "main",
"index": 0
}
],
[
{
"node": "No operation (start message)",
"type": "main",
"index": 0
}
]
]
},
"Generate plain PDF doc": {
"main": [
[
{
"node": "Send PDF to the user",
"type": "main",
"index": 0
}
]
]
},
"Convert projects to HTML": {
"main": [
[
{
"node": "Projects",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "Parse resume data",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Convert education to HTML": {
"main": [
[
{
"node": "Education",
"type": "main",
"index": 0
}
]
]
},
"Convert volunteering to HTML": {
"main": [
[
{
"node": "Volunteering",
"type": "main",
"index": 0
}
]
]
},
"Merge projects and volunteering": {
"main": [
[
{
"node": "Merge other data",
"type": "main",
"index": 1
}
]
]
},
"Convert employment history to HTML": {
"main": [
[
{
"node": "Employment history",
"type": "main",
"index": 0
}
]
]
},
"Merge personal info and technologies": {
"main": [
[
{
"node": "Merge all",
"type": "main",
"index": 0
}
]
]
},
"Merge education and employment history": {
"main": [
[
{
"node": "Merge other data",
"type": "main",
"index": 0
}
]
]
}
}
}
