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Resume Parser

Resume Parser. Uses httpRequest. Webhook trigger; 5 nodes.

Webhook trigger★★★★☆ complexity5 nodesHTTP Request
Web Scraping Trigger: Webhook Nodes: 5 Complexity: ★★★★☆ Added:

The workflow JSON

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{
  "name": "Resume Parser",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "resume-parser",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "11223344-5566-7788-99aa-bbccddeeff00",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        240,
        300
      ]
    },
    {
      "parameters": {
        "mode": "runOnceForAllItems",
        "jsCode": "// Support both direct JSON and webhook body wrapper\nconst raw = $input.first().json;\nconst body = raw.body || raw;\nconst resumeText = (body.resume_text || '').trim();\n\nif (!resumeText) {\n  throw new Error('resume_text is required in the request body');\n}\n\n// Trim to ~15 000 chars to stay within model token limits\nconst trimmed = resumeText.slice(0, 15000);\n\nconst schema = {\n  contact:    { name: 'string', email: 'string', phone: 'string', linkedin: 'string', github: 'string' },\n  summary:    'string',\n  skills:     [{ category: 'string', items: ['string'] }],\n  experience: [{ company: 'string', title: 'string', dates: 'string', bullets: ['string'] }],\n  projects:   [{ name: 'string', tech: ['string'], bullets: ['string'] }],\n  education:  [{ institution: 'string', degree: 'string', dates: 'string', gpa: 'string' }]\n};\n\nconst prompt = `You are a precise resume data extraction assistant.\n\nExtract all information from the resume below and return a single valid JSON object matching this schema exactly:\n${JSON.stringify(schema, null, 2)}\n\nRules:\n- Return ONLY valid JSON. No markdown fences, no comments.\n- Do NOT invent information absent from the source text.\n- Empty string \"\" for missing string fields; [] for missing arrays.\n- Group skills into logical categories (Languages, Frameworks, Tools, Cloud, etc.).\n- Preserve original bullet phrasing; clean whitespace and broken line-wraps.\n- gpa should be a string like \"3.8/4.0\" or empty string.\n\nRESUME:\n---\n${trimmed}\n---\n\nReturn the JSON object now:`;\n\nreturn [{ json: { prompt } }];\n"
      },
      "id": "22334455-6677-8899-aabb-ccddeeff0011",
      "name": "Build Gemini Prompt",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        460,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "=https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key={{ $env.GEMINI_API_KEY }}",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ { contents: [{ role: 'user', parts: [{ text: $json.prompt }] }], generationConfig: { response_mime_type: 'application/json', temperature: 0.1, maxOutputTokens: 4096 } } }}",
        "options": {
          "timeout": 60000
        }
      },
      "id": "33445566-7788-99aa-bbcc-ddeeff001122",
      "name": "Gemini API",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        700,
        300
      ],
      "continueOnFail": true
    },
    {
      "parameters": {
        "mode": "runOnceForAllItems",
        "jsCode": "const response = $input.first().json;\n\n// Handle Gemini API errors\nif (response.error) {\n  throw new Error('Gemini API error: ' + JSON.stringify(response.error));\n}\n\nlet rawText;\ntry {\n  rawText = response.candidates[0].content.parts[0].text;\n} catch (e) {\n  throw new Error('Unexpected Gemini response structure: ' + JSON.stringify(response).slice(0, 300));\n}\n\n// Strip accidental markdown fences\nconst cleaned = rawText\n  .replace(/^```json\\s*/i, '')\n  .replace(/^```\\s*/i, '')\n  .replace(/\\s*```$/i, '')\n  .trim();\n\nlet parsed;\ntry {\n  parsed = JSON.parse(cleaned);\n} catch (e) {\n  throw new Error('JSON parse failed: ' + e.message + ' | Raw: ' + rawText.slice(0, 200));\n}\n\nconst result = {\n  contact:    parsed.contact    || { name: '', email: '', phone: '', linkedin: '', github: '' },\n  summary:    parsed.summary    || '',\n  skills:     Array.isArray(parsed.skills)     ? parsed.skills     : [],\n  experience: Array.isArray(parsed.experience) ? parsed.experience : [],\n  projects:   Array.isArray(parsed.projects)   ? parsed.projects   : [],\n  education:  Array.isArray(parsed.education)  ? parsed.education  : []\n};\n\nreturn [{ json: result }];\n"
      },
      "id": "44556677-8899-aabb-ccdd-eeff00112233",
      "name": "Parse Gemini Response",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        940,
        300
      ]
    },
    {
      "parameters": {
        "respondWith": "allIncomingItems",
        "options": {}
      },
      "id": "55667788-99aa-bbcc-ddee-ff0011223344",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        1180,
        300
      ]
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Build Gemini Prompt",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Build Gemini Prompt": {
      "main": [
        [
          {
            "node": "Gemini API",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini API": {
      "main": [
        [
          {
            "node": "Parse Gemini Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Gemini Response": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "staticData": null,
  "tags": [],
  "id": 2,
  "active": true
}
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About this workflow

Resume Parser. Uses httpRequest. Webhook trigger; 5 nodes.

Source: https://github.com/1Mangesh1/resume-gen/blob/main/workflows/resume-parser.json — original creator credit. Request a take-down →

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