{ "edges": [ { "to": "1ce88c89-4780-4c6f-9781-0c065ff6473f", "from": "9f811105-07b4-4c4e-ba7d-85183b718e1f", "toPort": "0", "fromPort": "0" }, { "to": "16173a79-9c23-47b6-8582-ee2c870fdc1a", "from": "1ce88c89-4780-4c6f-9781-0c065ff6473f", "toPort": "0", "fromPort": "0" }, { "to": "45216826-c35d-4724-808a-0fc119fb60f4", "from": "c92e0da2-85ff-4a57-970f-1b9f636b8a1b", "toPort": "0", "fromPort": "0" }, { "to": "9f811105-07b4-4c4e-ba7d-85183b718e1f", "from": "eb84699b-e02c-4ef8-b37a-2ffaf395396e", "toPort": "0", "fromPort": "0" }, { "to": "bdabba9a-ba1f-4261-8b97-d8e19987a730", "from": "3fb97846-8387-430c-bc8a-a20528978a46", "toPort": "0", "fromPort": "0" }, { "to": "eb84699b-e02c-4ef8-b37a-2ffaf395396e", "from": "3fb97846-8387-430c-bc8a-a20528978a46", "toPort": "1", "fromPort": "0" }, { "to": "3fb97846-8387-430c-bc8a-a20528978a46", "from": "c598080e-3716-4ac4-b1a3-e18c3acb4ba5", "toPort": "0", "fromPort": "0" }, { "to": "eb84699b-e02c-4ef8-b37a-2ffaf395396e", "from": "0bcf04e4-f4c6-4530-8f42-58baa8e7f19d", "toPort": "0", "fromPort": "0" }, { "to": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6", "from": "652bb452-ea0e-4719-813d-994436d15960", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "c598080e-3716-4ac4-b1a3-e18c3acb4ba5", "from": "45216826-c35d-4724-808a-0fc119fb60f4", "toPort": "0", "fromPort": "0" }, { "to": "0bcf04e4-f4c6-4530-8f42-58baa8e7f19d", "from": "bdabba9a-ba1f-4261-8b97-d8e19987a730", "toPort": "0", "fromPort": "0" }, { "to": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6", "from": "bdabba9a-ba1f-4261-8b97-d8e19987a730", "toPort": "0", "fromPort": "0" }, { "to": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6", "from": "65c33726-bacc-4180-b62f-15701697516d", "toPort": "0", "fromPort": "ai_outputParser" }, { "to": "eb84699b-e02c-4ef8-b37a-2ffaf395396e", "from": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6", "toPort": "2", "fromPort": "0" }, { "to": "c92e0da2-85ff-4a57-970f-1b9f636b8a1b", "from": "050341ef-70f2-4e06-9e44-61d519a8910e", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "65c33726-bacc-4180-b62f-15701697516d", "name": "Structured Output Parser", "type": "passthrough", "params": { "mode": "noOp", "jsonSchemaExample": "{\n\t\"summary\": \"What the client is looking to build\"\n}" }, "position": [ 1488, 400 ] }, { "id": "652bb452-ea0e-4719-813d-994436d15960", "name": "OpenRouter Chat Model", "type": "llm", "params": { "model": "openai/gpt-5-mini", "options": {}, "provider": "openai" }, "position": [ 1360, 400 ] }, { "id": "c92e0da2-85ff-4a57-970f-1b9f636b8a1b", "name": "Fetch Main Job Board", "type": "http", "params": { "url": "https://community.make.com/tag/professional-service", "options": {} }, "position": [ 224, 144 ] }, { "id": "45216826-c35d-4724-808a-0fc119fb60f4", "name": "Extract Job Post Links", "type": "passthrough", "params": { "mode": "noOp", "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 } ] } }, "position": [ 448, 144 ] }, { "id": "3fb97846-8387-430c-bc8a-a20528978a46", "name": "Filter New/Valid Jobs", "type": "passthrough", "params": { "mode": "filter", "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})}} " } ] } }, "position": [ 896, 144 ] }, { "id": "bdabba9a-ba1f-4261-8b97-d8e19987a730", "name": "Get Individual Job Page", "type": "http", "params": { "url": "={{ $json.jobLink }}", "options": {} }, "position": [ 1120, 32 ] }, { "id": "0bcf04e4-f4c6-4530-8f42-58baa8e7f19d", "name": "Get Page HTML for LLM", "type": "passthrough", "params": { "mode": "noOp", "options": {}, "operation": "extractHtmlContent", "extractionValues": { "values": [ { "key": "jobDescription", "attribute": "content", "cssSelector": "meta[property=\"og:description\"]", "returnValue": "attribute" } ] } }, "position": [ 1408, -128 ] }, { "id": "d16a28e9-c6cd-4aa9-9ed6-c25f3a8a6ea6", "name": "Extract Job Details with AI", "type": "llm", "params": { "text": "={{ $json.data }}", "prompt": "={{ $json.data }}", "messages": { "messageValues": [ { "message": "=\n \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 \n\n \n Output in json format\n Give a high level summary of what the client wants to build\n Make sure to only distill the relevant text from all the HTML input\n \n" } ] }, "provider": "openai", "promptType": "define", "approximated": true, "hasOutputParser": true }, "position": [ 1344, 176 ] }, { "id": "eb84699b-e02c-4ef8-b37a-2ffaf395396e", "name": "Combine AI Data & URL", "type": "merge", "params": { "mode": "combine", "options": {}, "combineBy": "combineByPosition", "numberInputs": 3 }, "position": [ 1696, 160 ] }, { "id": "c598080e-3716-4ac4-b1a3-e18c3acb4ba5", "name": "Format Job List Items", "type": "code", "params": { "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" }, "position": [ 672, 144 ] }, { "id": "9f811105-07b4-4c4e-ba7d-85183b718e1f", "name": "Clean AI Response", "type": "code", "params": { "jsCode": "return $input.all().map((item) => ({...item.json, summary:item.json.output.summary, output: undefined}))\n" }, "position": [ 1920, 176 ] }, { "id": "1ce88c89-4780-4c6f-9781-0c065ff6473f", "name": "Aggregate All Jobs", "type": "code", "params": { "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" }, "position": [ 2144, 176 ] }, { "id": "16173a79-9c23-47b6-8582-ee2c870fdc1a", "name": "Send Weekly Job Digest", "type": "integration", "params": { "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 + '

' + \n (source === 'n8n-forum' ? 'n8n Forum Jobs' : \n source === 'make-forum' ? 'Make Forum Jobs' : \n 'Reddit Jobs') + '

' +\n jobs.map(job => \n '

' + \n job.jobTitle + '

Posted: ' + \n job.date + '

Source: ' + \n (job.source === 'n8n-forum' ? 'n8n Forum' : \n job.source === 'make-forum' ? 'Make Forum' : \n 'Reddit - ' + job.origin) + '

' + \n job.summary + '

'\n ).join('') + '

',\n '

Latest Job Opportunities

Generated on: ' + new Date().toLocaleString() + '

'\n ) + '';\n})()}}\n", "options": {}, "service": "smtp", "subject": "Job Opportunities", "toEmail": "test@example.com", "fromEmail": "test@example.com", "operation": "read" }, "position": [ 2368, 176 ] }, { "id": "050341ef-70f2-4e06-9e44-61d519a8910e", "name": "Run Weekly on Monday Morning", "type": "trigger", "params": { "kind": "n8n-nodes-base.scheduleTrigger", "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "position": [ 0, 144 ] } ] }

Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest