{ "name": "Gmail Internship Scanner", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 48 } ] } }, "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.1, "position": [ 200, 300 ], "id": "schedule-trigger" }, { "parameters": { "httpMethod": "POST", "path": "gmail-scan", "responseMode": "responseNode" }, "name": "Webhook Trigger", "type": "n8n-nodes-base.webhook", "typeVersion": 1.1, "position": [ 200, 450 ], "id": "webhook-trigger" }, { "parameters": { "operation": "getAll", "returnAll": false, "limit": 50, "filters": { "q": "from:(linkedin.com OR handshake.com OR internship OR hiring OR opportunity OR job alert) newer_than:2d", "labelIds": [ "INBOX" ] }, "options": { "format": "full", "dataPropertyAttachmentsPrefixName": "attachment_" } }, "name": "Gmail Get Messages", "type": "n8n-nodes-base.gmail", "typeVersion": 2, "position": [ 500, 300 ], "id": "gmail-get", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "jsCode": "// Deduplicate and extract email bodies\nconst items = $input.all();\nconst seen = new Set();\nconst result = [];\n\nfor (const item of items) {\n const msg = item.json;\n const subject = msg.subject || '';\n const from = msg.from || '';\n const body = msg.text || msg.html || '';\n \n const key = subject.toLowerCase().trim();\n if (seen.has(key)) continue;\n seen.add(key);\n \n // Filter relevant emails\n const relevant = [\n 'internship', 'intern', 'opportunity', 'job', 'hiring', 'role',\n 'engineer', 'researcher', 'analyst', 'quant'\n ];\n const text = (subject + ' ' + body).toLowerCase();\n if (!relevant.some(kw => text.includes(kw))) continue;\n \n result.push({\n subject,\n from,\n body: body.substring(0, 3000), // Limit for Claude\n date: msg.date || new Date().toISOString()\n });\n}\n\nreturn result.map(r => ({ json: r }));" }, "name": "Deduplicate Emails", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 700, 300 ], "id": "dedup-emails" }, { "parameters": { "batchSize": 5, "options": {} }, "name": "Batch Emails", "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 900, 300 ], "id": "batch-emails" }, { "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "contentType": "json", "body": { "model": "claude-haiku-4-5-20251001", "max_tokens": 2048, "messages": [ { "role": "user", "content": "=Extract internship listings from these email subjects/bodies. Return ONLY valid JSON array of objects with these fields: role, company, location, loc_type (remote/hybrid/onsite), wage (number or null), wage_period (month/week or null), paid (boolean), description (max 200 chars), requirements (max 200 chars), skills_required (string array), deadline (YYYY-MM-DD or null), apply_url (string or null), source (LinkedIn/Handshake/Email). Only include actual internship listings, not newsletters. Emails:\n\n{{ $json.subject }}\n\n{{ $json.body }}" } ] } }, "name": "Claude Extract Jobs", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1100, 300 ], "id": "claude-extract" }, { "parameters": { "jsCode": "// Parse Claude response and score listings\nconst items = $input.all();\nconst USER_SKILLS = [\n 'python', 'pytorch', 'tensorflow', 'langchain', 'fastapi', 'react',\n 'docker', 'aws', 'supabase', 'redis', 'ml', 'ai', 'machine learning',\n 'computer vision', 'rag', 'llm', 'diffusion', 'transformer', 'c++', 'java'\n];\n\nconst result = [];\n\nfor (const item of items) {\n const content = item.json?.content?.[0]?.text || '';\n let listings = [];\n \n try {\n const jsonMatch = content.match(/\\[.*\\]/s);\n if (jsonMatch) listings = JSON.parse(jsonMatch[0]);\n } catch (e) { continue; }\n \n for (const listing of listings) {\n // Score against user skills\n const skills = (listing.skills_required || []).map(s => s.toLowerCase());\n const matched = skills.filter(s => USER_SKILLS.some(us => s.includes(us) || us.includes(s)));\n const matchScore = Math.min(100, Math.round((matched.length / Math.max(skills.length, 1)) * 100));\n \n // Calculate days until deadline\n let daysUntilDeadline = null;\n if (listing.deadline) {\n const diff = new Date(listing.deadline) - new Date();\n daysUntilDeadline = Math.ceil(diff / (1000 * 60 * 60 * 24));\n }\n \n result.push({\n json: {\n ...listing,\n match_score: matchScore,\n days_until_deadline: daysUntilDeadline,\n status: 'saved',\n is_new: true,\n scan_id: $('Webhook Trigger').first()?.json?.body?.scan_id || null,\n created_at: new Date().toISOString(),\n updated_at: new Date().toISOString()\n }\n });\n }\n}\n\nreturn result;" }, "name": "Score Listings", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1300, 300 ], "id": "score-listings" }, { "parameters": { "operation": "upsert", "tableId": "internships", "onConflict": "role,company", "fieldsUi": { "fieldValues": [ { "fieldId": "role", "fieldValue": "={{ $json.role }}" }, { "fieldId": "company", "fieldValue": "={{ $json.company }}" }, { "fieldId": "location", "fieldValue": "={{ $json.location }}" }, { "fieldId": "loc_type", "fieldValue": "={{ $json.loc_type }}" }, { "fieldId": "wage", "fieldValue": "={{ $json.wage }}" }, { "fieldId": "paid", "fieldValue": "={{ $json.paid }}" }, { "fieldId": "description", "fieldValue": "={{ $json.description }}" }, { "fieldId": "requirements", "fieldValue": "={{ $json.requirements }}" }, { "fieldId": "skills_required", "fieldValue": "={{ $json.skills_required }}" }, { "fieldId": "match_score", "fieldValue": "={{ $json.match_score }}" }, { "fieldId": "deadline", "fieldValue": "={{ $json.deadline }}" }, { "fieldId": "days_until_deadline", "fieldValue": "={{ $json.days_until_deadline }}" }, { "fieldId": "status", "fieldValue": "saved" }, { "fieldId": "source", "fieldValue": "={{ $json.source }}" }, { "fieldId": "apply_url", "fieldValue": "={{ $json.apply_url }}" }, { "fieldId": "is_new", "fieldValue": "=true" }, { "fieldId": "scan_id", "fieldValue": "={{ $json.scan_id }}" } ] } }, "name": "Upsert to Supabase", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 1500, 300 ], "id": "upsert-supabase", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "operation": "insert", "tableId": "scan_logs", "fieldsUi": { "fieldValues": [ { "fieldId": "started_at", "fieldValue": "={{ $now }}" }, { "fieldId": "completed_at", "fieldValue": "={{ $now }}" }, { "fieldId": "listings_found", "fieldValue": "={{ $items().length }}" }, { "fieldId": "listings_added", "fieldValue": "={{ $items().length }}" }, { "fieldId": "status", "fieldValue": "completed" }, { "fieldId": "log_text", "fieldValue": "Scan complete via n8n Gmail Scanner" } ] } }, "name": "Log Scan", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 1700, 300 ], "id": "log-scan", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "sendTo": "rumaisa.kashif2109@gmail.com", "subject": "=\ud83c\udfaf Internship Scan Complete \u2014 {{ $items().length }} new listings", "emailType": "html", "message": "=

Scan Results

Found {{ $items().length }} new internship listings.

View them at your Internship Tracker.

" }, "name": "Send Digest Email", "type": "n8n-nodes-base.gmail", "typeVersion": 2, "position": [ 1900, 300 ], "id": "send-digest", "credentials": { "gmailOAuth2": { "name": "" } } } ], "connections": { "Schedule Trigger": { "main": [ [ { "node": "Gmail Get Messages", "type": "main", "index": 0 } ] ] }, "Webhook Trigger": { "main": [ [ { "node": "Gmail Get Messages", "type": "main", "index": 0 } ] ] }, "Gmail Get Messages": { "main": [ [ { "node": "Deduplicate Emails", "type": "main", "index": 0 } ] ] }, "Deduplicate Emails": { "main": [ [ { "node": "Batch Emails", "type": "main", "index": 0 } ] ] }, "Batch Emails": { "main": [ [ { "node": "Claude Extract Jobs", "type": "main", "index": 0 } ] ] }, "Claude Extract Jobs": { "main": [ [ { "node": "Score Listings", "type": "main", "index": 0 } ] ] }, "Score Listings": { "main": [ [ { "node": "Upsert to Supabase", "type": "main", "index": 0 } ] ] }, "Upsert to Supabase": { "main": [ [ { "node": "Log Scan", "type": "main", "index": 0 } ] ] }, "Log Scan": { "main": [ [ { "node": "Send Digest Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "1" }