{ "name": "BrightData Flow For Interview Generation", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "generate-interview-question", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ -832, 96 ], "id": "5f7dae66-36b1-4327-a978-fed32e601724", "name": "Webhook" }, { "parameters": { "url": "={{ $json.body.resumeUrl }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -128, -176 ], "id": "81c00119-1130-4e10-9771-0e80cd1dc0d1", "name": "HTTP Request" }, { "parameters": { "operation": "pdf", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 176, -176 ], "id": "632595b6-a0d2-48c6-b251-0df8e08043e2", "name": "Extract from File" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "messages": { "values": [ { "content": "Generate 10 Interview question with their answer depending on user resume data provided by user. Make sure response will be in question and answer field.", "role": "system" }, { "content": "={{ $json.cleanedContent }}" } ] }, "jsonOutput": true, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 1344, -176 ], "id": "a9e2a696-9f4a-44dc-a32c-4f3297d8c9d4", "name": "Message a model", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.4, "position": [ 1696, -176 ], "id": "e96558f2-b4f4-4072-92c6-9a573b74e43c", "name": "Respond to Webhook" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "2854bb55-f7ee-4308-acb7-dfc53b6794a7", "leftValue": "={{ $json.body.resumeUrl }}", "rightValue": "", "operator": { "type": "string", "operation": "exists", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ -560, 96 ], "id": "2e9f8040-d550-46f0-88aa-cf6b2e02c99f", "name": "If" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4O-MINI" }, "messages": { "values": [ { "content": "Depends on User Job Title and Job Description, generate 10 interview questions. Give me question and answer inside questions object list with field question and answer.", "role": "system" }, { "content": "={{ $json.cleanedContent }}" } ] }, "jsonOutput": true, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 368, 352 ], "id": "1bafe0d3-4138-4257-89f4-efb7f985ccc1", "name": "Message a model1", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.4, "position": [ 720, 352 ], "id": "23ac5b61-0a6d-4fd3-b6e0-d52675a105d4", "name": "Respond to Webhook1" }, { "parameters": { "modelId": { "__rl": true, "value": "models/gemini-1.5-flash", "mode": "list", "cachedResultName": "models/gemini-1.5-flash" }, "messages": { "values": [ { "content": "=Extract the following fields from {{ $json.text }}:\n\n- jobTitle: The primary or most recent job title.\n- yoe: Total years of professional experience (YOE).\n- keywords: List of up to 5 relevant skills or technologies found in the resume.\n\nReturn your answer strictly in the following JSON format only with no other fields:\n{\n \"jobTitle\": \"...\",\n \"yoe\": ...,\n \"keywords\": [ ... ]\n}" } ] }, "jsonOutput": true, "options": {} }, "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ 384, -176 ], "id": "30dcbb55-1b58-4b8a-93b3-22f8f710701c", "name": "Message a model2", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "zone": { "__rl": true, "mode": "list", "value": "web_unlocker1" }, "country": { "__rl": true, "mode": "list", "value": "us" }, "url": "=https://www.linkedin.com/jobs/search/?keywords={{ encodeURIComponent($json.jobTitle) }}", "requestOptions": {} }, "type": "@brightdata/n8n-nodes-brightdata.brightData", "typeVersion": 1, "position": [ 896, -176 ], "id": "f207f94b-8038-46e4-a3fb-2de41b022b83", "name": "Access and extract data from a specific URL", "credentials": { "brightdataApi": { "name": "" } } }, { "parameters": { "instructions": "const text = items[0].json.content.parts[0].text;\nconst arr = JSON.parse(text);\n// Return only the first object\nreturn [{ json: arr[0] }];", "codeGeneratedForPrompt": "const text = items[0].json.content.parts[0].text;\nconst arr = JSON.parse(text);\n// Return only the first object\nreturn [{ json: arr[0] }];", "jsCode": "const items = $input.all();\nconst arr = JSON.parse(items[0].json.content.parts[0].text);\nreturn [{ json: arr[0] }];\n" }, "type": "n8n-nodes-base.aiTransform", "typeVersion": 1, "position": [ 704, -176 ], "id": "647ff9fe-1ffc-4332-85c0-f1f3a0e5a45a", "name": "AI Transform" }, { "parameters": { "jsCode": "const outputItems = [];\n\nfor (const item of $input.all()) {\n let htmlContent;\n \n if (typeof item.json === 'string') {\n htmlContent = item.json;\n } else if (Array.isArray(item.json)) {\n htmlContent = item.json[0]; \n } else if (item.json && typeof item.json === 'object') {\n htmlContent = item.json.html || item.json.body || item.json.content;\n }\n \n if (htmlContent && typeof htmlContent === 'string') {\n const originalSize = htmlContent.length;\n \n htmlContent = htmlContent\n .replace(/)<[^<]*)*<\\/script>/gi, '')\n .replace(/)<[^<]*)*<\\/style>/gi, '')\n .replace(/)<[^<]*)*<\\/nav>/gi, '')\n .replace(/)<[^<]*)*<\\/header>/gi, '')\n .replace(/)<[^<]*)*<\\/footer>/gi, '')\n .replace(//g, '') \n .replace(/]*>/gi, '') \n .replace(/]*>/gi, ''); \n \n \n const cleanText = htmlContent\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ') \n .replace(/\\n+/g, ' ') \n .trim();\n \n\n outputItems.push({\n json: {\n cleanedContent: cleanText,\n originalSize: originalSize,\n optimizedSize: cleanText.length,\n compressionRatio: Math.round((1 - cleanText.length / originalSize) * 100) + '%'\n }\n });\n }\n}\n\nreturn outputItems;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1104, -176 ], "id": "84b8be9e-5d1e-4a25-b927-5562f8379708", "name": "Code" }, { "parameters": { "zone": { "__rl": true, "mode": "list", "value": "web_unlocker1" }, "country": { "__rl": true, "mode": "list", "value": "us" }, "url": "=https://www.linkedin.com/jobs/search/?keywords={{ encodeURIComponent($json.body.jobTitle) }}", "requestOptions": {} }, "type": "@brightdata/n8n-nodes-brightdata.brightData", "typeVersion": 1, "position": [ -128, 352 ], "id": "d06863b7-d18a-4ff3-9472-9a4dc1ae2d25", "name": "Access and extract data from a specific URL2", "credentials": { "brightdataApi": { "name": "" } } }, { "parameters": { "jsCode": "const outputItems = [];\n\nfor (const item of $input.all()) {\n let htmlContent;\n \n if (typeof item.json === 'string') {\n htmlContent = item.json;\n } else if (Array.isArray(item.json)) {\n htmlContent = item.json[0]; \n } else if (item.json && typeof item.json === 'object') {\n htmlContent = item.json.html || item.json.body || item.json.content;\n }\n \n if (htmlContent && typeof htmlContent === 'string') {\n const originalSize = htmlContent.length;\n \n htmlContent = htmlContent\n .replace(/)<[^<]*)*<\\/script>/gi, '')\n .replace(/)<[^<]*)*<\\/style>/gi, '')\n .replace(/)<[^<]*)*<\\/nav>/gi, '')\n .replace(/)<[^<]*)*<\\/header>/gi, '')\n .replace(/)<[^<]*)*<\\/footer>/gi, '')\n .replace(//g, '') \n .replace(/]*>/gi, '') \n .replace(/]*>/gi, ''); \n \n \n const cleanText = htmlContent\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ') \n .replace(/\\n+/g, ' ') \n .trim();\n \n\n outputItems.push({\n json: {\n cleanedContent: cleanText,\n originalSize: originalSize,\n optimizedSize: cleanText.length,\n compressionRatio: Math.round((1 - cleanText.length / originalSize) * 100) + '%'\n }\n });\n }\n}\n\nreturn outputItems;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 176, 352 ], "id": "c2b4f827-d805-4975-8d3e-cb003ebece40", "name": "Code1" }, { "parameters": { "content": "Interview Question Generation by Scraping LinkedIn Based on Info Provided by User", "height": 128, "width": 320 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 176, -400 ], "id": "29b59e35-7d26-4897-88d6-b1c00b38d2ef", "name": "Sticky Note" } ], "connections": { "Webhook": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "HTTP Request": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Message a model2", "type": "main", "index": 0 } ] ] }, "Message a model": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "HTTP Request", "type": "main", "index": 0 } ], [ { "node": "Access and extract data from a specific URL2", "type": "main", "index": 0 } ] ] }, "Message a model1": { "main": [ [ { "node": "Respond to Webhook1", "type": "main", "index": 0 } ] ] }, "Message a model2": { "main": [ [ { "node": "AI Transform", "type": "main", "index": 0 } ] ] }, "Access and extract data from a specific URL": { "main": [ [ { "node": "Code", "type": "main", "index": 0 } ] ] }, "AI Transform": { "main": [ [ { "node": "Access and extract data from a specific URL", "type": "main", "index": 0 } ] ] }, "Code": { "main": [ [ { "node": "Message a model", "type": "main", "index": 0 } ] ] }, "Access and extract data from a specific URL2": { "main": [ [ { "node": "Code1", "type": "main", "index": 0 } ] ] }, "Code1": { "main": [ [ { "node": "Message a model1", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1" }, "versionId": "18d4293b-ae39-48cf-89ce-709a2a75d148", "meta": { "templateCredsSetupCompleted": true }, "id": "VG7F4v0oMZqoLQ5r", "tags": [] }