ジョブスクレイパー
上級
これは自動化ワークフローで、20個のノードを含みます。主にIf, Code, Merge, FormTrigger, HttpRequestなどのノードを使用。 AIジョブ関連性スコアラー：GPT-4o-miniを使用してLinkedInの求人を検索し、Googleスプレッドシートに保存
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Sheets API認証情報
- •OpenAI API Key
カテゴリー
-
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "xqRJgn9kLzy60dnX",
"meta": {
"instanceId": "86964b8d0664d9ba346a233f6936cccbf83e087b0b9c3cb22f6eaa1a271cad0d",
"templateCredsSetupCompleted": true
},
"name": "jobs_scraper",
"tags": [],
"nodes": [
{
"id": "ecd0d08a-44ca-4390-9eff-01f0719abc61",
"name": "existing_jobs",
"type": "n8n-nodes-base.googleSheets",
"position": [
1824,
160
],
"parameters": {
"options": {
"dataLocationOnSheet": {
"values": {
"range": "C:C",
"rangeDefinition": "specifyRangeA1"
}
}
},
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Jobs Tracker"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "={{ $('On form submission').first().json[\"Link to your Google Sheet (jobs will be added here)\"] }}"
}
},
"executeOnce": true,
"notesInFlow": true,
"typeVersion": 4.7,
"alwaysOutputData": true
},
{
"id": "3ccf8c71-7ad0-47a3-b006-bc1fa5e60023",
"name": "Compile_parm_sets",
"type": "n8n-nodes-base.code",
"position": [
96,
0
],
"parameters": {
"jsCode": "// Get values from input item\nlet contractType = $input.first().json[\"Contract Type\"];\nlet experienceLevel = $input.first().json[\"Experience Level\"]; \nlet workType = $input.first().json[\"Working Mode\"];\nlet publishedAt = $input.first().json[\"Date Posted\"];\n\n// Mapping functions\nfunction mapContractType(value) {\n if (!value) return null;\n switch (value) {\n case \"Full-time\": return \"F\";\n case \"Part-time\": return \"P\";\n case \"Contract\": return \"C\";\n case \"Temporary\": return \"T\";\n case \"Internship\": return \"I\";\n case \"Volunteer\": return \"V\";\n default: return null;\n }\n}\n\nfunction mapExperienceLevel(value) {\n if (!value) return null;\n switch (value) {\n case \"Internship\": return \"1\";\n case \"Entry-level\": return \"2\";\n case \"Associate\": return \"3\";\n case \"Mid-senior level\": return \"4\";\n case \"Director\": return \"5\";\n default: return null;\n }\n}\n\nfunction mapWorkType(value) {\n if (!value) return null;\n switch (value) {\n case \"On-site\": return \"1\";\n case \"Remote\": return \"2\";\n case \"Hybrid\": return \"3\";\n default: return null;\n }\n}\n\nfunction mapPublishedAt(value) {\n if (!value) return null;\n switch (value) {\n case \"Past 24 hours\": return \"r86400\";\n case \"Past Week\": return \"r604800\";\n case \"Past Month\": return \"r2592000\";\n default: return null;\n }\n}\n\n// Map all to codes\ncontractType = mapContractType(contractType);\nexperienceLevel = mapExperienceLevel(experienceLevel);\nworkType = mapWorkType(workType);\npublishedAt = mapPublishedAt(publishedAt);\n\nconst rowMap = {\n r86400: 100,\n r604800: 300,\n r2592000: 600,\n};\n\n// Build output, excluding nulls\nconst output = {\n title: $input.first().json.title,\n location: $input.first().json.location,\n rows: rowMap[publishedAt] || 100,\n};\n\nif (contractType !== null) output.contractType = contractType;\nif (experienceLevel !== null) output.experienceLevel = experienceLevel;\nif (workType !== null) output.workType = workType;\nif (publishedAt !== null) output.publishedAt = publishedAt;\n\nreturn [{ json: output }];\n"
},
"typeVersion": 2,
"alwaysOutputData": false
},
{
"id": "aceab631-3ca5-4cc3-923f-6406ad426b81",
"name": "rm_existing_jobs",
"type": "n8n-nodes-base.merge",
"notes": "from input 1",
"position": [
1952,
0
],
"parameters": {
"mode": "combine",
"options": {
"fuzzyCompare": true
},
"joinMode": "keepNonMatches",
"outputDataFrom": "input1",
"fieldsToMatchString": "id"
},
"notesInFlow": true,
"typeVersion": 3.2,
"alwaysOutputData": true
},
{
"id": "eb80bc2e-04a4-42e3-afba-6472fdcbac5b",
"name": "filtering jobs",
"type": "n8n-nodes-base.code",
"position": [
1360,
-16
],
"parameters": {
"jsCode": "// Get all GPT output items\nconst gptOutput = $input.all().map(item => item.json);\nconst targetScore = $('On form submission').first().json[\"Target Relevancy Score(out of 100)\"];\n\n// Extract jobs, filter by relevancy_score, and format\nconst filtered = gptOutput\n .map(entry => entry.message?.content)\n .filter(job => job && job.relevancy_score >= targetScore)\n .map(job => ({\n json: {\n id: job.id,\n relevancy_score: job.relevancy_score\n }\n }));\n\nreturn filtered;\n"
},
"notesInFlow": true,
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "e24fe095-02be-48d0-a94d-cb36ea80b2ae",
"name": "フィルター & Dedup Jobs",
"type": "n8n-nodes-base.code",
"position": [
656,
0
],
"parameters": {
"jsCode": "const blacklisted_companies = [\"Jobot\", \"TieTalent\", \"Pryor Associates Executive Search\"];\n\nconst jobs = $input.all().map(item => item.json);\n\n// Deduplicate by id\nconst uniqueJobs = Array.from(\n new Map(jobs.map(job => [job.id, job])).values()\n);\n\n// Filter out blacklisted companies and jobs without companyUrl\nconst filteredJobs = uniqueJobs.filter(\n job => job.companyUrl && !blacklisted_companies.includes(job.companyName)\n);\n\n// Deduplicate by title + companyName (keep first only)\nconst seen = new Set();\nconst finalJobs = filteredJobs.filter(job => {\n const key = job.title + \"|\" + job.companyName;\n if (seen.has(key)) return false; // skip duplicates\n seen.add(key);\n return true; // keep first\n});\n\nreturn finalJobs.map(job => ({ json: job }));"
},
"notesInFlow": true,
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "0f335618-d674-4012-8511-2de6cc356a6e",
"name": "Add Jobs",
"type": "n8n-nodes-base.googleSheets",
"position": [
2320,
-16
],
"parameters": {
"columns": {
"value": {
"id": "={{ $json.id }}",
"Score": "={{ $json.relevancy_score }}",
"Salary": "={{ $json.salary }}",
"HR Name": "={{ $json.posterFullName }}",
"Job URL": "={{ $json.applyUrl }}",
"Job URL2": "={{ $json.jobUrl }}",
"Job Title": "={{ $json.title }}",
"Date Posted": "={{ $json.publishedAt }}",
"HR LinkedIn": "={{ $json.posterProfileUrl }}",
"Company Name": "={{ $json.companyName }}",
"Job Location": "={{ $json.location }}",
"Company Profile": "={{ $json.companyUrl }}"
},
"schema": [
{
"id": "Job URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Job URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Job URL2",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Job URL2",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "Job Title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Job Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Company Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Salary",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Salary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Profile",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Company Profile",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Working Model",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Working Model",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Job Location",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Job Location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date Posted",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Date Posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Application Status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Application Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date Applied",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Date Applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Score",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Feedback",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Feedback",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Cover Letter",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Cover Letter",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Resume",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Resume",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "HR Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "HR Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "HR LinkedIn",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "HR LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Notes",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Notes",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Jobs Tracker"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "={{ $('On form submission').first().json[\"Link to your Google Sheet (jobs will be added here)\"] }}"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "udbu9Gbjt5CAnxWD",
"name": "Google Sheets account"
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "6afd2b41-f733-45b3-85c6-5faba765e35e",
"name": "Fetch LinkedIn Jobs",
"type": "n8n-nodes-base.httpRequest",
"position": [
384,
0
],
"parameters": {
"url": "https://api.apify.com/v2/acts/BHzefUZlZRKWxkTck/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "={{ $json }}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer <your_apify_api>"
}
]
}
},
"notesInFlow": true,
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "0208b796-b40e-47f0-a67c-5f437f02f301",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-192,
0
],
"webhookId": "8dbd31ae-e835-42cd-979e-88f8dd6ffded",
"parameters": {
"options": {
"path": "jobs-scraper",
"buttonLabel": "Find Jobs",
"appendAttribution": false,
"respondWithOptions": {
"values": {
"formSubmittedText": "Your request processed successfully."
}
}
},
"formTitle": "Jobs Scraper",
"formFields": {
"values": [
{
"fieldLabel": "title",
"placeholder": "e.g Data Analyst, Data Enginner, Software Engineer",
"requiredField": true
},
{
"fieldLabel": "location",
"placeholder": "e.g Austin, United States",
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "Contract Type",
"fieldOptions": {
"values": [
{
"option": "All"
},
{
"option": "Full-time"
},
{
"option": "Part-time"
},
{
"option": "Contract"
},
{
"option": "Temporary"
},
{
"option": "Internship"
},
{
"option": "Volunteer"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "Experience Level",
"fieldOptions": {
"values": [
{
"option": "All"
},
{
"option": "Internship"
},
{
"option": "Entry-level"
},
{
"option": "Associate"
},
{
"option": "Mid-senior level"
},
{
"option": "Director"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "Working Mode",
"fieldOptions": {
"values": [
{
"option": "all"
},
{
"option": "On-site"
},
{
"option": "Remote"
},
{
"option": "Hybrid"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "Date Posted",
"fieldOptions": {
"values": [
{
"option": "Past 24 hours"
},
{
"option": "Past Week"
},
{
"option": "Past Month"
}
]
}
},
{
"fieldType": "number",
"fieldLabel": "Target Relevancy Score(out of 100)",
"placeholder": "how relevant the jobs should be to your resume",
"requiredField": true
},
{
"fieldLabel": "Link to your Google Sheet (jobs will be added here)",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "Your Resume",
"placeholder": "Paste Your Resume",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "Your Job Instructions/Preferences",
"placeholder": "Enter Your Job Preferences or any criteria to rank relevant jobs for you",
"requiredField": true
}
]
},
"responseMode": "lastNode",
"formDescription": "Provide your preferences to extract the relevant jobs. The Google Sheet should follow this template: https://docs.google.com/spreadsheets/d/1oOigTwntedPCYiXwW-98oHDj4slYepsFFV-LLP-77uc/edit?gid=0#gid=0"
},
"notesInFlow": true,
"typeVersion": 2.3
},
{
"id": "b3e1bb3a-b77e-472e-b86a-b585df277088",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-272,
-208
],
"parameters": {
"color": 5,
"width": 272,
"height": 352,
"content": "* Collects user input such as resume, preferences, and Google Sheet link via a public form.\n\n* The form automatically triggers the workflow when submitted."
},
"typeVersion": 1
},
{
"id": "395c6d0a-eb70-4e36-b0f9-4db3a823c9e7",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
-208
],
"parameters": {
"color": 6,
"width": 272,
"height": 352,
"content": "Converts the form selections (contract type, experience, etc.) into API-ready parameters for Apify’s LinkedIn Jobs Scraper."
},
"typeVersion": 1
},
{
"id": "08eebd8a-4b77-44a2-9fa7-6cbbd8c28f77",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
304,
-208
],
"parameters": {
"color": 5,
"width": 272,
"height": 352,
"content": "* Calls the Apify API to fetch job listings based on your parameters.\n\n* Requires your Apify API key and the LinkedIn Jobs actor rented from Apify."
},
"typeVersion": 1
},
{
"id": "ab00b3bd-25b6-45a2-920a-cbc09a8edd90",
"name": "If Jobs",
"type": "n8n-nodes-base.if",
"position": [
880,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c6fa73ec-5859-48c4-9085-68e04ba07b21",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": "running"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c666e264-2ea8-4c73-b0a5-b38bae070da1",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
592,
-208
],
"parameters": {
"color": 6,
"width": 448,
"height": 352,
"content": "Removes duplicates, filters out blacklisted companies, and excludes listings without a valid company profile."
},
"typeVersion": 1
},
{
"id": "201b0934-417f-4d00-9fd3-7986df544192",
"name": "If Jobs1",
"type": "n8n-nodes-base.if",
"position": [
1504,
-16
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4c35b5be-ac2e-4843-9cbb-420afdb8f0f3",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c512a004-186e-45ea-a8ef-fa616e8f676f",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1056,
-208
],
"parameters": {
"color": 5,
"width": 592,
"height": 352,
"content": "## Score and Filter Jobs by Relevance\n* Sends each job listing, along with your resume and preferences, to the GPT-4o-mini model.\n* The model returns a relevance score (0–100) for each job.\n* Keeps only the jobs that meet or exceed your target relevancy score (defined in the form)."
},
"typeVersion": 1
},
{
"id": "58b7114e-a45a-41f2-aae2-31c4edbe1e94",
"name": "Enrich input 1",
"type": "n8n-nodes-base.merge",
"position": [
1760,
-16
],
"parameters": {
"mode": "combine",
"options": {
"fuzzyCompare": true,
"clashHandling": {
"values": {
"resolveClash": "preferLast",
"overrideEmpty": true
}
},
"multipleMatches": "first"
},
"joinMode": "enrichInput1",
"fieldsToMatchString": "id"
},
"notesInFlow": true,
"typeVersion": 3.2
},
{
"id": "3be05870-9c10-4a9b-b8dc-0052833d3448",
"name": "If Jobs2",
"type": "n8n-nodes-base.if",
"position": [
2112,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "162163ba-1211-4255-aeed-038a40d0522b",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": "running"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "05163604-3788-4147-a8d4-9be81426ae5a",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1664,
-208
],
"parameters": {
"color": 6,
"width": 784,
"height": 528,
"content": "## Add New jobs to the Google Sheet\n* Fetches all job IDs already present in your Google Sheet to prevent duplicates.\n* Compares new jobs with existing ones in your Google Sheet.\n* Only keeps jobs that are not yet in your sheet."
},
"typeVersion": 1
},
{
"id": "ed9af293-d933-4a67-8ba7-fd9a816d0a22",
"name": "Scoring Jobs",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1088,
-16
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {
"temperature": 0.4
},
"messages": {
"values": [
{
"role": "system",
"content": "=You are an expert recruiter and job relevance evaluator. Please find a relevancy score for a given job against the Candidate Resume and Preferences. \n\nCandidate Resume:\n{{ $('On form submission').first().json['Your Resume'] }}\n\nCandidate Preferences:\n{{ $('On form submission').first().json[\"Your Job Instructions/Preferences\"] }}\n\nImportant Notes:\n- If salary is not given under job details, check it in the job_description or job_position.\n- When giving the relevancy score, be strict and give a good score(>80) to only those jobs that are highly relevant for the candidate.\n\n⚠️ Output format requirement:\nAlways return only a JSON array with exactly one object, in this structure:\n[\n {\n \"id\": \"...\",\n \"relevancy_score\": <integer 0-100>\n }\n]\nNo other text, comments, or formatting.\n"
},
{
"content": "=Evaluate this job against the candidate resume + preferences.\n\nJob details:\n- id: {{ $json.id }}\n- job_position: {{ $json.title }}\n- salary: {{ $json.salary }}\n- job_description: {{ $json.description }}\n"
}
]
},
"jsonOutput": true
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 1.8,
"waitBetweenTries": 5000
},
{
"id": "f4540ed0-bc13-4472-b09f-87f09e892de0",
"name": "付箋6",
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"content": "## 🧠 AI-Powered Job Scraper & Relevance Evaluator\n\nThis workflow automates the process of finding and ranking the most relevant job opportunities based on your resume, career preferences, and custom filters.\n\nIt uses Apify’s LinkedIn Jobs API to fetch fresh job listings, then applies OpenAI GPT models to assign a relevance score (0–100) for each job.\nOnly jobs that meet or exceed your target score are appended to your Google Sheet, while duplicates are automatically skipped.\n\n### ⚙️ How to Set Up\n\n1. **Connect Accounts**\n * Add credentials for:\n * Google Sheets (OAuth2)\n * OpenAI API\n * Apify API (replace <your_apify_api> with your key)\n\n2. **Prepare Your Google Sheet**\n * Copy the template: 📄 [Google Sheet Template](https://docs.google.com/spreadsheets/d/1Pabh4GDMc0CBK5S6gn8FxpRgLbyXZVN656JNkBH6f7Y/edit?gid=0#gid=0)\n * Enable Edit Access for anyone with the link.\n\n3. **Run the Workflow**\n * Open your public form (auto-generated webhook link).\n * Fill in your resume, preferences, and target relevancy score.\n * Submit — within minutes, new, high-relevance jobs will appear in your Google Sheet."
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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