This workflow follows the Emailsend → HTTP Request recipe pattern — see all workflows that pair these two integrations.
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 →
{
"name": "06b Interview Prep Packages",
"nodes": [
{
"parameters": {},
"id": "trg-manual",
"name": "Manual / On Interview Request",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
200,
300
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT DISTINCT a.id AS app_id, j.title, j.company_name, coalesce(j.description,'') AS description, left(res.raw_text, 1500) AS resume_snippet FROM app.interactions i JOIN app.recruiters r ON r.id = i.recruiter_id JOIN app.outreach o ON o.recruiter_id = r.id JOIN app.applications a ON a.id = o.application_id JOIN app.jobs j ON j.id = a.job_id JOIN app.resumes res ON res.id = a.resume_id WHERE i.classification = 'interview_request' AND NOT EXISTS (SELECT 1 FROM app.interview_prep p WHERE p.application_id = a.id) LIMIT 5;",
"options": {}
},
"id": "pg-need",
"name": "Applications Needing Prep",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
420,
300
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "=http://{{ $env.OLLAMA_HOST || 'ollama' }}:{{ $env.OLLAMA_PORT || '11434' }}/api/generate",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ model: $env.OLLAMA_MODEL_REASONING || 'llama3.1:8b', stream: false, format: 'json', options: { temperature: 0.5 }, system: 'Create an interview prep package. Return ONLY JSON {\"company_research\": \"...\", \"likely_questions\": [\"...\"], \"talking_points\": [\"...\"], \"questions_to_ask\": [\"...\"]}. Base talking points only on facts in the resume.', prompt: 'ROLE: ' + $json.title + ' at ' + $json.company_name + '\\nJOB:\\n' + $json.description + '\\n\\nMY RESUME:\\n' + $json.resume_snippet }) }}",
"options": {
"timeout": 180000
}
},
"id": "http-prep",
"name": "Generate Prep",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
640,
300
]
},
{
"parameters": {
"jsCode": "function q(s){ return String(s==null?'':s).replace(/'/g, \"''\"); }\nconst app = $('Applications Needing Prep').item.json;\nlet pkg = {}; const r = $json.response || '';\ntry { pkg = JSON.parse(r); } catch(e) { const m = r.match(/\\{[\\s\\S]*\\}/); if (m) { try { pkg = JSON.parse(m[0]); } catch(_){} } }\nconst payload = q(JSON.stringify(pkg));\nconst query = `INSERT INTO app.interview_prep (application_id, package) VALUES ('${app.app_id}', '${payload}'::jsonb);`;\nconst text = `Interview prep \u2014 ${app.title} @ ${app.company_name}\\n\\nCompany: ${pkg.company_research || ''}\\n\\nLikely questions:\\n- ${(pkg.likely_questions||[]).join('\\n- ')}\\n\\nTalking points:\\n- ${(pkg.talking_points||[]).join('\\n- ')}\\n\\nAsk them:\\n- ${(pkg.questions_to_ask||[]).join('\\n- ')}`;\nreturn [{ json: { query, text, title: app.title, company: app.company_name } }];"
},
"id": "code-prep",
"name": "Build Prep SQL",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
860,
300
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "={{ $json.query }}",
"options": {}
},
"id": "pg-save",
"name": "Save Prep",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
1080,
300
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"fromEmail": "={{ $env.GMAIL_ADDRESS }}",
"toEmail": "={{ $env.GMAIL_ADDRESS }}",
"subject": "=Interview prep: {{ $('Build Prep SQL').item.json.title }} @ {{ $('Build Prep SQL').item.json.company }}",
"emailFormat": "text",
"text": "={{ $('Build Prep SQL').item.json.text }}",
"options": {}
},
"id": "smtp-prep",
"name": "Email Prep",
"type": "n8n-nodes-base.emailSend",
"typeVersion": 2.1,
"position": [
1300,
300
],
"credentials": {
"smtp": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Manual / On Interview Request": {
"main": [
[
{
"node": "Applications Needing Prep",
"type": "main",
"index": 0
}
]
]
},
"Applications Needing Prep": {
"main": [
[
{
"node": "Generate Prep",
"type": "main",
"index": 0
}
]
]
},
"Generate Prep": {
"main": [
[
{
"node": "Build Prep SQL",
"type": "main",
"index": 0
}
]
]
},
"Build Prep SQL": {
"main": [
[
{
"node": "Save Prep",
"type": "main",
"index": 0
}
]
]
},
"Save Prep": {
"main": [
[
{
"node": "Email Prep",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
}
}
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.
postgressmtp
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
06b Interview Prep Packages. Uses postgres, httpRequest, emailSend. Event-driven trigger; 6 nodes.
Source: https://github.com/AskariJafri/job-search-os/blob/main/n8n/workflows/06-reports/interview-prep.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
04a Outreach: Discover Contact + Draft Email. Uses postgres, httpRequest, emailSend. Event-driven trigger; 8 nodes.
aula-00-mapa-do-n8n. Uses emailReadImap, stopAndError, httpRequest, graphql. Event-driven trigger; 46 nodes.
Reagendamiento_v2. Uses executeWorkflowTrigger, redis, httpRequest, n8n-nodes-evolution-api. Event-driven trigger; 89 nodes.
This workflow acts as a junior finance research analyst for a UK boutique M&A or corporate finance team. It listens for Slack messages, classifies the request, gathers company or market data, and prod
Disparador 1.8. Uses itemLists, postgres, emailSend, httpRequest. Scheduled trigger; 85 nodes.