{"workflow":{"id":14100,"name":"Monitor CRM hiring spikes and send Slack alerts with HubSpot and PredictLeads","views":74,"recentViews":1,"totalViews":74,"createdAt":"2026-03-17T06:09:47.795Z","description":"Monitor CRM accounts for hiring spikes by enriching HubSpot companies with PredictLeads job data and alerting your team via Slack.\n\nThis workflow pulls all companies from your HubSpot CRM, checks each one against the PredictLeads Job Openings API for target roles (sales, engineering, marketing, product, data), compares the current count to historical data stored in Google Sheets, and flags any company where hiring jumped more than 50%. Flagged companies get updated in HubSpot with a hiring signal and trigger a Slack alert so your sales team can act fast.\n\nHow it works:\n1. Schedule trigger runs the workflow daily at 9 AM.\n2. Retrieves all companies from HubSpot CRM (domain, name, ID).\n3. Loops through each company and fetches job openings from PredictLeads.\n4. Filters jobs to target roles (sales, engineering, marketing, product, data).\n5. Reads the previous job count for that company from Google Sheets.\n6. Calculates percentage change between current and historical counts.\n7. If hiring increased more than 50%, flags it as a spike.\n8. Updates the HubSpot company record with a hiring signal property.\n9. Sends a Slack alert with the company name, role count, and percentage change.\n10. Updates Google Sheets with the latest count regardless of spike status.\n\nSetup:\n- Connect your HubSpot CRM (OAuth2) with company read/write access.\n- Create a Google Sheet with a \"HistoricalCounts\" tab containing columns: domain, company_name, job_count, previous_count, percent_change, check_date.\n- Connect a Slack bot to the channel where you want hiring alerts.\n- Add your PredictLeads API credentials (X-Api-Key and X-Api-Token headers).\n\nRequirements:\n- HubSpot CRM account with OAuth2 credentials.\n- Google Sheets OAuth2 credentials.\n- Slack OAuth2 credentials (bot with chat:write permission).\n- PredictLeads API account (https://docs.predictleads.com).\n\nNotes:\n- The 50% spike threshold can be adjusted in the IF node.\n- Target roles are configured in the Filter Target Roles code node -- add or remove roles as needed.\n- The workflow updates historical data on every run, so spike detection improves over time.\n- PredictLeads Job Openings API docs: https://docs.predictleads.com\n","workflow":{"id":"Vq4i5ZRppnUXKXbZ","meta":{"instanceId":"YOUR_INSTANCE_ID","templateCredsSetupCompleted":true},"name":"CRM Hiring Enrichment & Slack Alerts with PredictLeads","tags":[],"nodes":[{"id":"b070e426-c383-4350-8e5b-0bf42da3d888","name":"About This Workflow","type":"n8n-nodes-base.stickyNote","position":[-2880,480],"parameters":{"color":4,"width":420,"height":400,"content":"ABOUT THIS WORKFLOW\n\nPulls HubSpot companies, checks PredictLeads for new job openings, and sends Slack alerts when hiring spikes above 50%.\n\nSetup: HubSpot API, Google Sheets (for historical tracking), Slack bot, PredictLeads API credentials.\n\nUse case: Your sales team wants to know when target accounts ramp up hiring. A spike in engineering roles often means new budget and projects you can sell into.\n\nPredictLeads API: https://predictleads.com\nQuestions: https://www.linkedin.com/in/yaronbeen"},"typeVersion":1},{"id":"80fa2c54-73ff-4d86-a3cc-99240a150b17","name":"📋 Sticky: Trigger & Input","type":"n8n-nodes-base.stickyNote","position":[-2368,64],"parameters":{"color":5,"width":460,"height":778,"content":"## ⏰ Trigger & Company Source\n\n**Nodes:**  \n⏰ Daily 9AM Trigger → 🏢 HubSpot Get Companies\n\n**Description:**  \nThe workflow begins with a scheduled trigger that runs every day at 9 AM.\n\nIt retrieves all companies from HubSpot CRM along with key identifiers such as the company domain, company name, and HubSpot company ID.\n\nThese companies represent the target accounts that will be monitored for hiring activity.  \nThe retrieved company data becomes the input dataset used for job monitoring and hiring signal detection."},"typeVersion":1},{"id":"cd07e49b-a398-45b0-b8ad-f2589b3f0c3e","name":"📋 Sticky: Enrichment","type":"n8n-nodes-base.stickyNote","position":[-1824,112],"parameters":{"color":5,"width":780,"height":938,"content":"## 🔍 Hiring Data Collection\n\n**Nodes:**  \n🔄 Loop Over Companies → 🔍 Fetch Job Openings → ⚙️ Filter Target Roles → 📂 Read Historical Counts\n\n**Description:**  \nEach company is processed individually using a loop to evaluate its hiring activity.\n\nThe workflow queries the PredictLeads API to retrieve the company’s current job openings.  \nIt then filters the results to focus on specific strategic roles such as sales, engineering, marketing, product, and data.\n\nAt the same time, the workflow retrieves previously stored hiring counts from Google Sheets.  \nThese historical values will be used to compare current hiring activity with past records."},"typeVersion":1},{"id":"8441a9af-8161-449e-956b-521a8132379c","name":"📋 Sticky: Processing","type":"n8n-nodes-base.stickyNote","position":[-944,96],"parameters":{"color":5,"width":668,"height":746,"content":"## 📊 Hiring Spike Detection\n\n**Nodes:**  \nMerge → 📊 Compare vs Historical → ❓ Spike Detected?\n\n**Description:**  \nCurrent hiring data is merged with the historical job counts retrieved from Google Sheets.\n\nThe workflow calculates the percentage change between the current number of job openings and the previously recorded count.\n\nIf the increase exceeds the defined threshold (greater than 50%), the workflow flags the company as experiencing a **hiring spike**, which may indicate new projects, budget expansion, or increased operational activity."},"typeVersion":1},{"id":"07be4ad9-94af-4567-97a4-a6a257602db1","name":"📋 Sticky: Output","type":"n8n-nodes-base.stickyNote","position":[-160,-80],"parameters":{"color":5,"width":556,"height":1114,"content":"## 📤 Actions & Alerts\n\n**Nodes:**  \n🏢 HubSpot Update Company → 💬 Slack Spike Alert → 📝 Update Google Sheets → 📝 Update Sheets (No Spike)\n\n**Description:**  \nWhen a hiring spike is detected, the workflow updates the company record in HubSpot to mark the hiring signal and sends a Slack notification to alert the team.\n\nThis allows sales or business development teams to quickly identify companies that may be expanding and potentially require new services or solutions.\n\nRegardless of whether a spike occurs or not, the workflow updates the historical hiring data in Google Sheets so future comparisons remain accurate."},"typeVersion":1},{"id":"87a23924-057b-4d87-8750-50723438f9d1","name":"⏰ Daily 9AM Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[-2304,608],"parameters":{"rule":{"interval":[{"field":"cronExpression","expression":"0 9 * * *"}]}},"typeVersion":1.2},{"id":"729320a5-0483-42b5-8051-e3f63d888d31","name":"🏢 HubSpot Get Companies","type":"n8n-nodes-base.hubspot","position":[-2080,608],"parameters":{"options":{"propertiesCollection":{"propertiesValues":{"properties":["domain","name","hs_object_id"],"propertyMode":"valueOnly"}}},"resource":"company","operation":"getAll","returnAll":true,"authentication":"oAuth2"},"credentials":{"hubspotOAuth2Api":{"id":"YOUR_HUBSPOT_CREDENTIAL_ID","name":"HubSpot account"}},"typeVersion":2},{"id":"e71918e2-8d65-4d89-8977-9491c22dc3e1","name":"🔄 Loop Over Companies","type":"n8n-nodes-base.splitInBatches","position":[-1760,608],"parameters":{"options":{}},"typeVersion":3},{"id":"68ce9eea-9e77-4021-9c12-cf3e50ffad19","name":"🔍 Fetch Job Openings","type":"n8n-nodes-base.httpRequest","position":[-1488,624],"parameters":{"url":"=https://predictleads.com/api/v3/companies/{{ $json.properties.domain.value }}/job_openings","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"c9fbec2f-aebc-4b0f-aa3a-06d1dca17973","name":"⚙️ Filter Target Roles","type":"n8n-nodes-base.code","position":[-1264,624],"parameters":{"jsCode":"// Configure target roles to monitor\nconst targetRoles = ['sales', 'engineering', 'marketing', 'product', 'data'];\n\nconst domain = $('🔄 Loop Over Companies').first().json.properties.domain;\nconst companyName = $('🔄 Loop Over Companies').first().json.properties.name;\nconst companyId = $('🔄 Loop Over Companies').first().json.properties.hs_object_id;\n\nconst allJobs = $input.first().json.data || [];\n\n// Filter jobs matching target roles\nconst matchingJobs = allJobs.filter(job => {\n  const title = (job.title || '').toLowerCase();\n  return targetRoles.some(role => title.includes(role));\n});\n\nreturn [{\n  json: {\n    domain,\n    companyName,\n    companyId,\n    totalJobCount: allJobs.length,\n    matchingJobCount: matchingJobs.length,\n    matchingJobs: matchingJobs.map(j => j.title),\n    targetRoles\n  }\n}];"},"typeVersion":2},{"id":"858b869b-50f8-48c8-867c-3777dcaa8bef","name":"📊 Compare vs Historical","type":"n8n-nodes-base.code","position":[-672,640],"parameters":{"jsCode":"// Read historical data from Google Sheets input (connected via merge/lookup)\nconst current = $input.first().json;\nconst historicalRows = $('📂 Read Historical Counts').first().json.rows || [];\n\nconst domain = current.domain;\nconst currentCount = current.matchingJobCount;\n\n// Find previous count for this domain\nconst prevRow = historicalRows.find(r => r.domain === domain);\nconst previousCount = prevRow ? parseInt(prevRow.job_count || '0', 10) : 0;\n\n// Calculate percentage change\nlet percentChange = 0;\nif (previousCount > 0) {\n  percentChange = ((currentCount - previousCount) / previousCount) * 100;\n} else if (currentCount > 0) {\n  percentChange = 100; // New entries count as 100% spike\n}\n\nconst spikeDetected = percentChange > 50;\n\nreturn [{\n  json: {\n    ...current,\n    previousCount,\n    currentCount,\n    percentChange: Math.round(percentChange),\n    spikeDetected,\n    checkDate: new Date().toISOString().split('T')[0]\n  }\n}];"},"typeVersion":2},{"id":"21bcd2c9-65d7-448d-9d06-5dfb3362c296","name":"📂 Read Historical Counts","type":"n8n-nodes-base.googleSheets","position":[-1376,800],"parameters":{"options":{},"filtersUI":{"values":[{"lookupValue":"={{ $json.properties.domain.value 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Historical').item.json.companyName.value }}","percent_change":"={{ $('📊 Compare vs Historical').item.json.percentChange }}","previous_count":"={{ $('📊 Compare vs Historical').item.json.previousCount }}"},"schema":[{"id":"domain","type":"string","display":true,"removed":false,"required":false,"displayName":"domain","defaultMatch":false,"canBeUsedToMatch":true},{"id":"company_name","type":"string","display":true,"required":false,"displayName":"company_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"job_count","type":"string","display":true,"required":false,"displayName":"job_count","defaultMatch":false,"canBeUsedToMatch":true},{"id":"previous_count","type":"string","display":true,"required":false,"displayName":"previous_count","defaultMatch":false,"canBeUsedToMatch":true},{"id":"percent_change","type":"string","display":true,"required":false,"displayName":"percent_change","defaultMatch":false,"canBeUsedToMatch":true},{"id":"check_date","type":"string","display":true,"required":false,"displayName":"check_date","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["domain"],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{"cellFormat":"USER_ENTERED"},"operation":"appendOrUpdate","sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_01/edit#gid=0","cachedResultName":"HistoricalCounts"},"documentId":{"__rl":true,"mode":"list","value":"YOUR_GOOGLE_SHEET_ID_01","cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_01/edit?usp=drivesdk","cachedResultName":"01"}},"credentials":{"googleSheetsOAuth2Api":{"id":"YOUR_GOOGLE_SHEETS_CREDENTIAL_ID","name":"Google 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Sheets account"}},"typeVersion":4.5},{"id":"e869fe10-e812-4ce4-ba0d-2be5085133a1","name":"Merge","type":"n8n-nodes-base.merge","position":[-864,640],"parameters":{},"typeVersion":3.2}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","availableInMCP":false,"executionOrder":"v1"},"versionId":"5017c175-8a42-4aef-b004-4a920fb8bd36","connections":{"Merge":{"main":[[{"node":"📊 Compare vs Historical","type":"main","index":0}]]},"❓ Spike Detected?":{"main":[[{"node":"🏢 HubSpot Update Company","type":"main","index":0},{"node":"💬 Slack Spike Alert","type":"main","index":0}],[{"node":"📝 Update Sheets (No Spike)","type":"main","index":0}]]},"⏰ Daily 9AM Trigger":{"main":[[{"node":"🏢 HubSpot Get Companies","type":"main","index":0}]]},"🔍 Fetch Job Openings":{"main":[[{"node":"⚙️ Filter Target Roles","type":"main","index":0}]]},"🔄 Loop Over Companies":{"main":[[],[{"node":"🔍 Fetch Job Openings","type":"main","index":0},{"node":"📂 Read Historical Counts","type":"main","index":0}]]},"📝 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