Smart Linkedin Job Filtering with Google Gemini, Cv Matching, and Google Maps

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 →

{
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "0d1ee8d1-e28c-47e6-9d60-185de0d0dcc2",
      "name": "Config",
      "type": "n8n-nodes-base.set",
      "position": [
        -416,
        16
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "171ff4c5-b238-4b4c-8a27-a5a9564bd673",
              "name": "MyCV",
              "type": "string",
              "value": "YOUR FULL TEXT CV HERE!"
            },
            {
              "id": "2be3ae0b-02f0-40c7-955f-e71b7a2881bc",
              "name": "JobKeywords",
              "type": "string",
              "value": "AI Integration"
            },
            {
              "id": "b062eed9-9fbd-4f45-9117-0ccd4b5d53db",
              "name": "ExperienceLevel",
              "type": "string",
              "value": "mid_senior"
            },
            {
              "id": "5808ab43-3551-42a0-b677-535b29bebf6c",
              "name": "JobsToScrape",
              "type": "number",
              "value": 20
            },
            {
              "id": "9076e2c5-2e23-41f5-bb73-04ab4534b960",
              "name": "HomeLocation",
              "type": "string",
              "value": "Breda, Netherlands"
            },
            {
              "id": "12b91df8-f52d-41b8-b18d-5d378942281f",
              "name": "MaxCommuteMinutes",
              "type": "number",
              "value": 75
            },
            {
              "id": "5d06b164-8c25-4e3d-8739-1900d9a4c7db",
              "name": "TargetLanguage",
              "type": "string",
              "value": "English"
            },
            {
              "id": "934fbe29-f5f0-4ca1-97ad-4e2c28e46b92",
              "name": "Under10Applicants",
              "type": "string",
              "value": false
            },
            {
              "id": "3f789658-2cfd-4c3e-9d7c-749d9e79fa65",
              "name": "ActorId",
              "type": "string",
              "value": "apimaestro~linkedin-jobs-scraper-api"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "671cf8fb-b319-4e82-99ae-181f89aa936b",
      "name": "Scrape LinkenIn Jobs",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -192,
        16
      ],
      "parameters": {
        "url": "=https://api.apify.com/v2/acts/{{ $json.ActorId }}/run-sync-get-dataset-items",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"date_posted\": \"day\",\n  \"experienceLevel\": {{ $json.ExperienceLevel.toJsonString() }},\n  \"keywords\": {{ $json.JobKeywords.toJsonString() }},\n  \"limit\": {{ $json.JobsToScrape }},\n  \"under_10_applicants\": {{ $json.Under10Applicants.toJsonString() }},\n  \"sort\": \"relevant\",\n  \"location\": \"91000000\",\n  \"page_number\": 1\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpBearerAuth"
      },
      "credentials": {
        "httpBearerAuth": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "47daec05-16be-4502-a183-a444b534bada",
      "name": "Done!",
      "type": "n8n-nodes-base.noOp",
      "position": [
        224,
        -320
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f09488e4-11b0-456c-92f2-e6804b64ea75",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        544,
        272
      ],
      "parameters": {
        "jsonSchemaExample": "{\n\"jobLanguage\": \"English\",\n\"confirmed_seniority\": \"mid_senior\",\n\"is_match\": true\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "62f689ec-b638-4feb-8ada-74ff30cddf13",
      "name": "If Seniority Match",
      "type": "n8n-nodes-base.if",
      "position": [
        880,
        32
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "d1f7b9b9-4fd1-44d2-b799-5fae8bcee7be",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.output.confirmed_seniority }}",
              "rightValue": "={{ $('Config').item.json.ExperienceLevel }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "3ec3aea3-2639-4afb-a261-f81eaf0c13af",
      "name": "Deconstruct Job Data",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        384,
        32
      ],
      "parameters": {
        "text": "=You are an expert HR data analyst. Your task is to validate the seniority level of a job posting based on its full description.\n\nThe job was originally tagged with the seniority level: \"{{ $('Config').item.json.ExperienceLevel }}\"\n\nAnalyze the full job description below and determine if this tag is accurate.\n\nReturn ONLY a valid JSON object with these fields:\n- \"jobLanguage\": The primary language of the text.\n- \"confirmed_seniority\": The most accurate seniority level based on your analysis of the text. You MUST choose one from: [\"internship\", \"entry\", \"associate\", \"mid_senior\", \"director\", \"executive\"].\n- \"is_match\": A boolean (true/false) indicating if your confirmed_seniority matches the original tag.\n\nJob Description:\n\"\"\"\n{{ $('Items Loop').first().json.description }}\n\"\"\"",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "78600425-b859-4c2b-b416-669bd7f6f4ce",
      "name": "If Language Match",
      "type": "n8n-nodes-base.if",
      "position": [
        1136,
        16
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "09fadd6c-b339-4173-84f4-aa0b50e3706c",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $('Config').item.json.TargetLanguage.toLowerCase().split(', ').includes($('Deconstruct Job Data').item.json.output.jobLanguage.toLowerCase()) }}",
              "rightValue": "={{ $json.output.jobLanguage.toLowerCase() }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "1c49665e-3444-4528-85e2-5fa2f6f1547a",
      "name": "Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        368,
        272
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "fd7deb25-14f0-42dc-bb6f-c02a5dcd9314",
      "name": "If is not Remote",
      "type": "n8n-nodes-base.if",
      "position": [
        1392,
        0
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "95ad2f86-418a-4e1d-99df-75ef6037b072",
              "operator": {
                "type": "string",
                "operation": "notEquals"
              },
              "leftValue": "={{ $('Items Loop').first().json.work_type.toLowerCase() }}",
              "rightValue": "remote"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "9500741a-7fff-41ec-ba2c-3d3690b3e779",
      "name": "Get Commute Time",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1744,
        -224
      ],
      "parameters": {
        "url": "=https://maps.googleapis.com/maps/api/directions/json",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "origin",
              "value": "={{ $('Config').item.json.HomeLocation }}"
            },
            {
              "name": "destination",
              "value": "={{ $('Items Loop').first().json.location }}"
            }
          ]
        }
      },
      "credentials": {
        "httpQueryAuth": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "d8b75d80-fbd0-4a4a-b4ac-35843bbc5e48",
      "name": "Is Commute Acceptable",
      "type": "n8n-nodes-base.if",
      "position": [
        1952,
        -224
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6717790e-4c69-434c-afcc-d33cbe362789",
              "operator": {
                "type": "number",
                "operation": "lte"
              },
              "leftValue": "={{ $json.routes[0].legs[0].duration.value }}",
              "rightValue": "={{ $('Config').item.json.MaxCommuteMinutes * 60 }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c2b71945-4bf2-48b4-be34-104bbf7e8208",
      "name": "Google Gemini Deep Analysis",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        2464,
        240
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a09b3dc1-a6d2-402d-be2e-1dcd2c7d05a1",
      "name": "Structured Output Parser Deep Analysis",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2656,
        240
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"summary\": \"A 2-bullet point summary.\",\n  \"key_skills\": [\"skill1\",\"skill2\"],\n  \"match_score\": 5,\n  \"salaryInfo\": \"The extracted salary range\",\n  \"reasoning\": \"A one-sentence explanation for the score.\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "b114ccb2-6d92-4e70-bd6b-dbf96379974b",
      "name": "Save Data",
      "type": "n8n-nodes-base.supabase",
      "position": [
        3056,
        16
      ],
      "parameters": {
        "tableId": "job_tracker",
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": "jobTitle",
              "fieldValue": "={{ $('Items Loop').first().json.job_title }}"
            },
            {
              "fieldId": "companyName",
              "fieldValue": "={{ $('Items Loop').first().json.company }}"
            },
            {
              "fieldId": "matchScore",
              "fieldValue": "={{ $json.output.match_score }}"
            },
            {
              "fieldId": "aiSummary",
              "fieldValue": "={{ $json.output.summary }}"
            },
            {
              "fieldId": "jobURL",
              "fieldValue": "={{ $('Items Loop').first().json.job_url }}"
            },
            {
              "fieldId": "salaryInfo",
              "fieldValue": "={{ $json.output.salaryInfo }}"
            },
            {
              "fieldId": "aiReasoning",
              "fieldValue": "={{ $json.output.reasoning }}"
            },
            {
              "fieldId": "applyURL",
              "fieldValue": "={{ $('Items Loop').first().json.apply_url }}"
            }
          ]
        }
      },
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7f9b8050-305b-4bf0-a587-3816d7d11723",
      "name": "If Has High Match Score",
      "type": "n8n-nodes-base.if",
      "position": [
        3264,
        16
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "64d17e00-bada-41e9-918c-f507a1e59df9",
              "operator": {
                "type": "number",
                "operation": "gte"
              },
              "leftValue": "={{ $('AI Deep Analysis').item.json.output.match_score }}",
              "rightValue": 8
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "96b8e300-cb29-4ded-ad55-8b6c4cedacae",
      "name": "AI Deep Analysis",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        2480,
        16
      ],
      "parameters": {
        "text": "=Here is the candidate's resume and the job description. Please perform your analysis.\n---\n**Candidate's Resume:**\n\"\"\"\n{{ $('Config').first().json.MyCV }}\n\"\"\"\n---\n**Job Description:**\n\"\"\"\n{{ $('Items Loop').first().json.description }}\n\"\"\"",
        "options": {
          "systemMessage": "=You are an expert career coach and HR specialist. Your task is to analyze a candidate's resume against a job description and provide a detailed, structured analysis.\n\nReturn ONLY a valid JSON object with the following structure:\n{\n  \"summary\": \"A 2-bullet point summary of the role's main responsibilities.\",\n  \"key_skills\": [\"An array of the top 5 most important skills required for this job.\"],\n  \"match_score\": \"An integer from 1 to 10 of how well the resume matches the job requirements.\",\n  \"salaryInfo\": \"The extracted salary range or the string 'Not specified' if no salary is mentioned.\",\n  \"reasoning\": \"A one-sentence explanation for the score, highlighting a key strength or a potential gap in the resume.\"\n}"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "ad6f8535-342b-4db8-b0d9-9b761c56ed62",
      "name": "Items Loop",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        16,
        16
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "b6beecb9-3cee-4647-9995-942cedc77b42",
      "name": "Send a Notification",
      "type": "n8n-nodes-base.telegram",
      "position": [
        3568,
        0
      ],
      "parameters": {
        "text": "=\ud83d\udd25 <b>High-Match Job Found! ({{ $('AI Deep Analysis').item.json.output.match_score }}/10)</b>\n\n<b>{{ $('Items Loop').item.json.job_title }}</b> at <b>{{ $('Items Loop').item.json.company }}</b>\n\n<b>AI Reasoning:</b>\n<i>{{ $('AI Deep Analysis').item.json.output.reasoning }}</i>\n\n<b>Key Skills:</b>\n<code>{{ $('AI Deep Analysis').item.json.output.key_skills.join(', ') }}</code>\n\n<b>Salary:</b> <code>{{ $('AI Deep Analysis').item.json.output.salaryInfo }}</code>\n\n<a href=\"{{ $('Items Loop').item.json.apply_url }}\">Apply Here</a> | <a href=\"{{ $('Items Loop').item.json.job_url }}\">View Job Description</a>",
        "chatId": "123456789",
        "additionalFields": {
          "parse_mode": "HTML",
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "191a6567-4fda-46c1-aeb8-9a1d75742a39",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -704,
        -80
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 9
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "15d4435b-5cd8-4081-af0b-0159d70ba342",
      "name": "Manual Executing",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -704,
        112
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "175efaf6-2194-45e3-99f7-634d75fd7941",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1520,
        -416
      ],
      "parameters": {
        "color": 5,
        "width": 704,
        "height": 960,
        "content": "## \u2699\ufe0f Workflow Configuration\n\nThis node is the **central control panel** for the workflow. All settings are managed here.\n\n### **MyCV**\nPaste the full text of your CV/resume here. This is used by the AI to compare your skills against the job requirements.\n\n### **JobKeywords**\nSearch keywords for jobs (e.g., \"engineer\", \"product manager\").\n\n### **JobsToScrape**\nThe maximum number of relevant job postings to scrape in each run.\n\n### **HomeLocation**\nYour home city and country (e.g., \"Breda, Netherlands\"). This is used as the starting point for calculating commute times for hybrid or onsite jobs.\n\n### **MaxCommuteMinutes**\nYour personal maximum one-way commute time in minutes. The workflow will filter out any jobs that require a longer travel time.\n\n### **TargetLanguage**\nYour preferred language for job postings. The workflow will filter out any jobs not written in this language. You can list multiple languages, separated by a comma.\n\n### **ExperienceLevel**\nThe seniority level you are looking for. The AI will validate this against the job description.\n\nThe value can be:\n```\n\"\" \u2192 (Any)\n\"internship\" \u2192 (Internship)\n\"entry\" \u2192 (Entry Level)\n\"associate\" \u2192 (Associate)\n\"mid_senior\" \u2192 (Mid-Senior Level)\n\"director\" \u2192 (Director)\n\"executive\" \u2192 (Executive)\n```\n### **Under10Applicants**\nSet to `true` if you only want to see jobs with fewer than 10 applicants. Set to `false` to see all jobs."
      },
      "typeVersion": 1
    },
    {
      "id": "59daed62-8690-42a8-a3e4-ec59269a0271",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        224,
        -160
      ],
      "parameters": {
        "color": 3,
        "width": 560,
        "height": 576,
        "content": "## \ud83e\udd16 AI Triage: The First Filter\nThis AI Agent acts as a quick HR screener. It reads the full job description and extracts key structured data (language, seniority, is match) that we use for the initial filtering steps. This is a fast and cheap way to eliminate bad fits."
      },
      "typeVersion": 1
    },
    {
      "id": "43c45ff1-6d5a-4513-9370-1e524e443659",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1632,
        -416
      ],
      "parameters": {
        "color": 4,
        "width": 544,
        "height": 432,
        "content": "## \ud83d\udccd Geolocation Check\nThis branch handles non-remote jobs. It uses the Google Maps API to calculate the real commute time from the `HomeLocation` set in the config. Only jobs with a commute time under my `MaxCommuteMinutes` will pass this filter."
      },
      "typeVersion": 1
    },
    {
      "id": "6f4f06c5-9d2a-43d9-8c7d-2521885731e7",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2288,
        -160
      ],
      "parameters": {
        "color": 6,
        "width": 592,
        "height": 560,
        "content": "## \ud83e\udde0 AI Deep Analysis: The CV Match\nThis is the core intelligence of the co-pilot. For the highly-qualified jobs that passed all filters, this AI Agent compares the job description against my full CV (from the Config node). It generates a detailed summary, key skills, and a personalized match score."
      },
      "typeVersion": 1
    },
    {
      "id": "20bae697-5188-4a27-80ab-27f71b3b9168",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2976,
        -160
      ],
      "parameters": {
        "width": 752,
        "height": 352,
        "content": "## \u2705 Action & Alerting\nThe final step. All qualified jobs are saved to the Supabase database. If the AI match_score is above the configured threshold (e.g., 8/10), a real-time, detailed alert is sent to my Telegram."
      },
      "typeVersion": 1
    },
    {
      "id": "d3b4a1c4-7f39-4d9f-95c9-381d91ed9e68",
      "name": "To The Next",
      "type": "n8n-nodes-base.noOp",
      "position": [
        3792,
        272
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "connections": {
    "Config": {
      "main": [
        [
          {
            "node": "Scrape LinkenIn Jobs",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Save Data": {
      "main": [
        [
          {
            "node": "If Has High Match Score",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Items Loop": {
      "main": [
        [
          {
            "node": "Done!",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Deconstruct Job Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "To The Next": {
      "main": [
        [
          {
            "node": "Items Loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini": {
      "ai_languageModel": [
        [
          {
            "node": "Deconstruct Job Data",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Deep Analysis": {
      "main": [
        [
          {
            "node": "Save Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Commute Time": {
      "main": [
        [
          {
            "node": "Is Commute Acceptable",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If is not Remote": {
      "main": [
        [
          {
            "node": "Get Commute Time",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "AI Deep Analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Manual Executing": {
      "main": [
        [
          {
            "node": "Config",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Config",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If Language Match": {
      "main": [
        [
          {
            "node": "If is not Remote",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Items Loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If Seniority Match": {
      "main": [
        [
          {
            "node": "If Language Match",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Items Loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send a Notification": {
      "main": [
        [
          {
            "node": "To The Next",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Deconstruct Job Data": {
      "main": [
        [
          {
            "node": "If Seniority Match",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Scrape LinkenIn Jobs": {
      "main": [
        [
          {
            "node": "Items Loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Is Commute Acceptable": {
      "main": [
        [
          {
            "node": "AI Deep Analysis",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Items Loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If Has High Match Score": {
      "main": [
        [
          {
            "node": "Send a Notification",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "To The Next",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Deconstruct Job Data",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Deep Analysis": {
      "ai_languageModel": [
        [
          {
            "node": "AI Deep Analysis",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser Deep Analysis": {
      "ai_outputParser": [
        [
          {
            "node": "AI Deep Analysis",
            "type": "ai_outputParser",
            "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.

• googlePalmApi
• httpBearerAuth
• httpQueryAuth
• supabaseApi
• telegramApi

About this workflow

The job search process is filled with manual, frustrating tasks—reading endless job descriptions only to find the seniority is wrong, the role requires a language you don't speak, or a "hybrid" job has an impossible commute.

Source: https://n8n.io/workflows/8539/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

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