Julian Kaiser This workflow corresponds to n8n.io template #9300 — we link there as the canonical source.
This workflow follows the Chainllm → Emailsend 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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "65c33726-bacc-4180-b62f-15701697516d",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1488,
400
],
"parameters": {
"jsonSchemaExample": "{\n\t\"summary\": \"What the client is looking to build\"\n}"
},
"typeVersion": 1.2
},
{
"id": "652bb452-ea0e-4719-813d-994436d15960",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
1360,
400
],
"parameters": {
"model": "openai/gpt-5-mini",
"options": {}
},
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "c92e0da2-85ff-4a57-970f-1b9f636b8a1b",
"name": "Fetch Main Job Board",
"type": "n8n-nodes-base.httpRequest",
"position": [
224,
144
],
"parameters": {
"url": "https://community.make.com/tag/professional-service",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "45216826-c35d-4724-808a-0fc119fb60f4",
"name": "Extract Job Post Links",
"type": "n8n-nodes-base.html",
"position": [
448,
144
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "jobTitle",
"cssSelector": ".topic-list-item .main-link .link-top-line a",
"returnArray": true
},
{
"key": "jobLink",
"attribute": "href",
"cssSelector": ".topic-list-item .main-link .link-top-line a",
"returnArray": true,
"returnValue": "attribute"
},
{
"key": "date",
"cssSelector": ".topic-list-item td:last-child",
"returnArray": true
}
]
}
},
"typeVersion": 1.2
},
{
"id": "3fb97846-8387-430c-bc8a-a20528978a46",
"name": "Filter New/Valid Jobs",
"type": "n8n-nodes-base.filter",
"position": [
896,
144
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9db031ce-cbcc-4ccf-8f68-ca6fee8cd510",
"operator": {
"type": "dateTime",
"operation": "after"
},
"leftValue": "={{ $json.date }}",
"rightValue": "={{$now.minus({days: 7})}} "
}
]
}
},
"typeVersion": 2.2
},
{
"id": "bdabba9a-ba1f-4261-8b97-d8e19987a730",
"name": "Get Individual Job Page",
"type": "n8n-nodes-base.httpRequest",
"position": [
1120,
32
],
"parameters": {
"url": "={{ $json.jobLink }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "0bcf04e4-f4c6-4530-8f42-58baa8e7f19d",
"name": "Get Page HTML for LLM",
"type": "n8n-nodes-base.html",
"position": [
1408,
-128
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "jobDescription",
"attribute": "content",
"cssSelector": "meta[property=\"og:description\"]",
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6",
"name": "Extract Job Details with AI",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1344,
176
],
"parameters": {
"text": "={{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "=<prompt>\n <purpose>\n Based on this HTML your task is to provide a summary of what the client is looking to build with the automation software make.com\n </purpose>\n\n <instructions>\n <instruction>Output in json format</instruction>\n <instruction>Give a high level summary of what the client wants to build</instruction>\n <instruction>Make sure to only distill the relevant text from all the HTML input</instruction>\n </instructions>\n</prompt>"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "eb84699b-e02c-4ef8-b37a-2ffaf395396e",
"name": "Combine AI Data & URL",
"type": "n8n-nodes-base.merge",
"position": [
1696,
160
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition",
"numberInputs": 3
},
"typeVersion": 3
},
{
"id": "c598080e-3716-4ac4-b1a3-e18c3acb4ba5",
"name": "Format Job List Items",
"type": "n8n-nodes-base.code",
"position": [
672,
144
],
"parameters": {
"jsCode": "const titles = items[0].json[\"jobTitle\"];\nconst links = items[0].json[\"jobLink\"];\nconst dates = items[0].json[\"date\"];\n\nconst merged = titles.map((link, index) => ({\n \"jobTitle\": link,\n \"jobLink\": links[index],\n \"date\": dates[index],\n \"source\": \"make-forum\"\n}));\n\nreturn merged.map(item => ({ json: item }));\n"
},
"typeVersion": 2
},
{
"id": "9f811105-07b4-4c4e-ba7d-85183b718e1f",
"name": "Clean AI Response",
"type": "n8n-nodes-base.code",
"position": [
1920,
176
],
"parameters": {
"jsCode": "return $input.all().map((item) => ({...item.json, summary:item.json.output.summary, output: undefined}))\n"
},
"typeVersion": 2
},
{
"id": "1ce88c89-4780-4c6f-9781-0c065ff6473f",
"name": "Aggregate All Jobs",
"type": "n8n-nodes-base.code",
"position": [
2144,
176
],
"parameters": {
"jsCode": "const items = $input.all().map((item) => {\n const itemJson = item.json;\n return {\n ...itemJson\n }\n})\n\nconsole.log(items.length)\n\nreturn {data: items}\n"
},
"typeVersion": 2
},
{
"id": "16173a79-9c23-47b6-8582-ee2c870fdc1a",
"name": "Send Weekly Job Digest",
"type": "n8n-nodes-base.emailSend",
"position": [
2368,
176
],
"parameters": {
"html": "={{(() => {\n const grouped = $json.data.sort((a,b) => new Date(b.date.replace(/\\s/, 'T')) - new Date(a.date.replace(/\\s/, 'T'))).reduce((acc, job) => {\n const source = job.source === 'n8n-forum' ? 'n8n-forum' : \n job.source === 'make-forum' ? 'make-forum' : \n 'reddit';\n if (!acc[source]) acc[source] = [];\n acc[source].push(job);\n return acc;\n }, {});\n \n return Object.entries(grouped).reduce((html, [source, jobs]) => \n html + '<div class=\"section\"><h2>' + \n (source === 'n8n-forum' ? 'n8n Forum Jobs' : \n source === 'make-forum' ? 'Make Forum Jobs' : \n 'Reddit Jobs') + '</h2>' +\n jobs.map(job => \n '<div class=\"job-item\"><h3><a href=\"' + job.jobLink + '\">' + \n job.jobTitle + '</a></h3><div class=\"date\">Posted: ' + \n job.date + '</div><div class=\"source\">Source: ' + \n (job.source === 'n8n-forum' ? 'n8n Forum' : \n job.source === 'make-forum' ? 'Make Forum' : \n 'Reddit - ' + job.origin) + '</div><p class=\"summary\">' + \n job.summary + '</p></div>'\n ).join('') + '</div>',\n '<!DOCTYPE html><html><head><style>body{font-family:Arial,sans-serif;line-height:1.6;color:#333;max-width:800px;margin:0 auto;padding:20px}.section{margin-bottom:30px}.job-item{border:1px solid #ddd;margin-bottom:20px;padding:15px;border-radius:5px}h2{color:#2c5282;border-bottom:2px solid #2c5282;padding-bottom:10px;margin-top:30px}h3{color:#2c5282;margin:0 0 10px}a{color:#2b6cb0;text-decoration:none}a:hover{text-decoration:underline}.date,.source{color:#666;font-size:0.9em;margin-bottom:8px}.summary{background:#f8f9fa;padding:10px;border-left:4px solid #4299e1;margin:10px 0}</style></head><body><h1>Latest Job Opportunities</h1><p>Generated on: ' + new Date().toLocaleString() + '</p>'\n ) + '</body></html>';\n})()}}\n",
"options": {},
"subject": "Job Opportunities",
"toEmail": "test@example.com",
"fromEmail": "test@example.com"
},
"credentials": {
"smtp": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "ebe89e2a-da83-4150-9204-db0313daf256",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-96,
-64
],
"parameters": {
"width": 336,
"height": 176,
"content": "## \ud83d\udccb WORKFLOW OVERVIEW\nThis automation scrapes Make.com's professional services forum for job postings, uses AI to summarize each opportunity, and emails you a digest of jobs from the last 7 days.\n"
},
"typeVersion": 1
},
{
"id": "e5334bb7-116e-4227-b938-3a4ae1c8c540",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
784,
-64
],
"parameters": {
"height": 176,
"content": "## \u23f1\ufe0f DATE FILTERING\nOnly processes jobs posted within the last 7 days.\nAdjust the filter condition to change this timeframe.\n"
},
"typeVersion": 1
},
{
"id": "33890a9f-ae80-4dcf-a430-3924fdc6c891",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1312,
544
],
"parameters": {
"width": 320,
"height": 208,
"content": "## \ud83e\udd16 AI EXTRACTION\nUses GPT-5-mini to read the job posting HTML and extract a clear summary \nof what the client wants to build. This makes scanning opportunities much faster!\n"
},
"typeVersion": 1
},
{
"id": "e19f09cd-617a-45f9-bc2c-47b1ec92a608",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2304,
-64
],
"parameters": {
"height": 192,
"content": "## \ud83d\udce7 EMAIL FORMATTING\nCreates a beautiful HTML email with jobs organized by source.\nUpdate the fromEmail and toEmail parameters to your addresses.\n"
},
"typeVersion": 1
},
{
"id": "050341ef-70f2-4e06-9e44-61d519a8910e",
"name": "Run Weekly on Monday Morning",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
0,
144
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 9 * * 1"
}
]
}
},
"typeVersion": 1.2
}
],
"connections": {
"Clean AI Response": {
"main": [
[
{
"node": "Aggregate All Jobs",
"type": "main",
"index": 0
}
]
]
},
"Aggregate All Jobs": {
"main": [
[
{
"node": "Send Weekly Job Digest",
"type": "main",
"index": 0
}
]
]
},
"Fetch Main Job Board": {
"main": [
[
{
"node": "Extract Job Post Links",
"type": "main",
"index": 0
}
]
]
},
"Combine AI Data & URL": {
"main": [
[
{
"node": "Clean AI Response",
"type": "main",
"index": 0
}
]
]
},
"Filter New/Valid Jobs": {
"main": [
[
{
"node": "Get Individual Job Page",
"type": "main",
"index": 0
},
{
"node": "Combine AI Data & URL",
"type": "main",
"index": 1
}
]
]
},
"Format Job List Items": {
"main": [
[
{
"node": "Filter New/Valid Jobs",
"type": "main",
"index": 0
}
]
]
},
"Get Page HTML for LLM": {
"main": [
[
{
"node": "Combine AI Data & URL",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "Extract Job Details with AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Extract Job Post Links": {
"main": [
[
{
"node": "Format Job List Items",
"type": "main",
"index": 0
}
]
]
},
"Get Individual Job Page": {
"main": [
[
{
"node": "Get Page HTML for LLM",
"type": "main",
"index": 0
},
{
"node": "Extract Job Details with AI",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Extract Job Details with AI",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Extract Job Details with AI": {
"main": [
[
{
"node": "Combine AI Data & URL",
"type": "main",
"index": 2
}
]
]
},
"Run Weekly on Monday Morning": {
"main": [
[
{
"node": "Fetch Main Job Board",
"type": "main",
"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.
openRouterApismtp
Pro
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About this workflow
Who is this for? Make.com consultants, automation specialists, and freelancers who want to catch new client opportunities without manually checking the forum.
Source: https://n8n.io/workflows/9300/ — original creator credit. Request a take-down →
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