{"workflow":{"id":13975,"name":"Reverse lookup emails with ScraperCity and sync contacts to HubSpot CRM","views":11,"recentViews":0,"totalViews":11,"createdAt":"2026-03-10T03:34:12.729Z","description":"## Who is this for\n\nThis template is for sales teams, recruiters, and growth professionals who need to enrich a list of email addresses with full contact details -- names, phone numbers, and physical addresses -- and push verified new leads directly into HubSpot CRM without manual data entry.\n\n## How it works\n\nThe workflow accepts a list of email addresses defined in a configuration node. It submits each email to the ScraperCity People Finder API, which performs a reverse lookup to surface associated names, phones, and addresses. Because the scrape runs asynchronously, the workflow polls the job status every 60 seconds until completion. Once the scrape succeeds, it downloads the CSV results, parses each row into structured contact records, removes duplicates, and upserts every new contact into HubSpot CRM.\n\n## How to set up\n\n1. Create a **ScraperCity API Key** credential in n8n (HTTP Header Auth, header name `Authorization`, value `Bearer YOUR_KEY`).\n2. Create a **HubSpot App Token** credential in n8n.\n3. Open the **Configure Lookup Parameters** node and replace the example emails with your target list.\n4. Execute the workflow manually and monitor the polling loop until results appear in HubSpot.\n\n## Requirements\n\n- ScraperCity account with People Finder access (app.scrapercity.com)\n- HubSpot account with a valid private app token\n- n8n instance (cloud or self-hosted)\n\n## How to customize the workflow\n\n- Add more emails to the **Configure Lookup Parameters** node or replace it with a Google Sheets or webhook trigger to feed emails dynamically.\n- Adjust the **Wait Before Retry** node duration if your scrapes consistently finish faster or slower.\n- Extend the **Map Contact Fields** node to populate additional HubSpot properties such as lifecycle stage or lead source.","workflow":{"meta":{"templateCredsSetupCompleted":false},"nodes":[{"id":"a1000000-0000-0000-0000-000000000001","name":"When clicking 'Execute workflow'","type":"n8n-nodes-base.manualTrigger","position":[-2000,400],"parameters":{},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000002","name":"Configure Lookup Parameters","type":"n8n-nodes-base.set","position":[-1750,400],"parameters":{"options":{},"assignments":{"assignments":[{"id":"cfg-01","name":"emails","type":"string","value":"user@example.com,user@example.com"},{"id":"cfg-02","name":"maxResults","type":"number","value":5}]}},"typeVersion":3.4},{"id":"a1000000-0000-0000-0000-000000000003","name":"Start People Finder Scrape","type":"n8n-nodes-base.httpRequest","position":[-1500,400],"parameters":{"url":"https://app.scrapercity.com/api/v1/scrape/people-finder","method":"POST","options":{},"jsonBody":"={\n  \"name\": [],\n  \"email\": {{ JSON.stringify($json.emails.split(',').map(e => e.trim())) }},\n  \"phone_number\": [],\n  \"street_citystatezip\": [],\n  \"max_results\": {{ $json.maxResults }}\n}","sendBody":true,"specifyBody":"json","authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth"},"credentials":{"httpHeaderAuth":{"id":"credential-id","name":"ScraperCity API Key"}},"typeVersion":4.2},{"id":"a1000000-0000-0000-0000-000000000004","name":"Store Run ID","type":"n8n-nodes-base.set","position":[-1250,400],"parameters":{"options":{},"assignments":{"assignments":[{"id":"rid-01","name":"runId","type":"string","value":"={{ $json.runId }}"}]}},"typeVersion":3.4},{"id":"a1000000-0000-0000-0000-000000000005","name":"Wait Before First Poll","type":"n8n-nodes-base.wait","position":[-1000,400],"webhookId":"a1000000-wait-0000-0000-000000000005","parameters":{"amount":30},"typeVersion":1.1},{"id":"a1000000-0000-0000-0000-000000000006","name":"Poll Loop","type":"n8n-nodes-base.splitInBatches","position":[-750,400],"parameters":{"options":{"reset":false},"batchSize":1},"typeVersion":3},{"id":"a1000000-0000-0000-0000-000000000007","name":"Check Scrape Status","type":"n8n-nodes-base.httpRequest","position":[-500,400],"parameters":{"url":"=https://app.scrapercity.com/api/v1/scrape/status/{{ $('Store Run ID').item.json.runId }}","method":"GET","options":{},"authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth"},"credentials":{"httpHeaderAuth":{"id":"credential-id","name":"ScraperCity API Key"}},"typeVersion":4.2},{"id":"a1000000-0000-0000-0000-000000000008","name":"Is Scrape Complete?","type":"n8n-nodes-base.if","position":[-250,400],"parameters":{"options":{},"conditions":{"options":{"version":2,"caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"cond-01","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.status }}","rightValue":"SUCCEEDED"}]}},"typeVersion":2.2},{"id":"a1000000-0000-0000-0000-000000000009","name":"Wait Before Retry","type":"n8n-nodes-base.wait","position":[-250,592],"webhookId":"a1000000-wait-0000-0000-000000000009","parameters":{"amount":60},"typeVersion":1.1},{"id":"a1000000-0000-0000-0000-000000000010","name":"Download Scrape Results","type":"n8n-nodes-base.httpRequest","position":[0,400],"parameters":{"url":"=https://app.scrapercity.com/api/downloads/{{ $('Store Run ID').item.json.runId }}","method":"GET","options":{},"authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth"},"credentials":{"httpHeaderAuth":{"id":"credential-id","name":"ScraperCity API Key"}},"typeVersion":4.2},{"id":"a1000000-0000-0000-0000-000000000011","name":"Parse CSV Results","type":"n8n-nodes-base.code","position":[250,400],"parameters":{"jsCode":"// Parse CSV text returned by the download endpoint\n// Handles both a raw CSV string and a JSON body with a 'data' or 'csv' field\n\nconst raw = $input.first().json;\nlet csvText = '';\n\nif (typeof raw === 'string') {\n  csvText = raw;\n} else if (raw.data && typeof raw.data === 'string') {\n  csvText = raw.data;\n} else if (raw.csv && typeof raw.csv === 'string') {\n  csvText = raw.csv;\n} else {\n  // Fallback: treat entire body as an array of contact objects\n  const contacts = Array.isArray(raw) ? raw : (raw.results || []);\n  return contacts.map(c => ({ json: c }));\n}\n\nconst lines = csvText.trim().split('\\n').filter(l => l.trim() !== '');\nif (lines.length < 2) return [];\n\nconst headers = lines[0].split(',').map(h => h.trim().replace(/^\"|\"$/g, ''));\n\nconst results = [];\nfor (let i = 1; i < lines.length; i++) {\n  const values = lines[i].split(',').map(v => v.trim().replace(/^\"|\"$/g, ''));\n  const obj = {};\n  headers.forEach((h, idx) => {\n    obj[h] = values[idx] || '';\n  });\n  results.push({ json: obj });\n}\n\nreturn results;"},"typeVersion":2},{"id":"a1000000-0000-0000-0000-000000000012","name":"Remove Duplicate Contacts","type":"n8n-nodes-base.removeDuplicates","position":[500,400],"parameters":{"options":{},"fieldsToCompare":{"fields":[{"fieldName":"email"}]}},"typeVersion":2},{"id":"a1000000-0000-0000-0000-000000000013","name":"Filter Valid Contacts","type":"n8n-nodes-base.filter","position":[750,400],"parameters":{"options":{},"conditions":{"options":{"version":2,"caseSensitive":false,"typeValidation":"loose"},"combinator":"and","conditions":[{"id":"flt-01","operator":{"type":"string","operation":"exists","singleValue":true},"leftValue":"={{ $json.email }}","rightValue":""}]}},"typeVersion":2.2},{"id":"a1000000-0000-0000-0000-000000000014","name":"Map Contact Fields","type":"n8n-nodes-base.set","position":[1000,400],"parameters":{"options":{},"assignments":{"assignments":[{"id":"map-01","name":"email","type":"string","value":"={{ ($json.email || '').trim().toLowerCase() }}"},{"id":"map-02","name":"firstName","type":"string","value":"={{ $json.first_name || $json.firstName || '' }}"},{"id":"map-03","name":"lastName","type":"string","value":"={{ $json.last_name || $json.lastName || '' }}"},{"id":"map-04","name":"phone","type":"string","value":"={{ $json.phone || $json.phone_number || '' }}"},{"id":"map-05","name":"address","type":"string","value":"={{ $json.address || $json.street || '' }}"},{"id":"map-06","name":"city","type":"string","value":"={{ $json.city || '' }}"},{"id":"map-07","name":"state","type":"string","value":"={{ $json.state || '' }}"},{"id":"map-08","name":"zip","type":"string","value":"={{ $json.zip || $json.zipcode || '' }}"}]}},"typeVersion":3.4},{"id":"a1000000-0000-0000-0000-000000000015","name":"Upsert Contact in HubSpot","type":"n8n-nodes-base.hubspot","position":[1250,400],"parameters":{"email":"={{ $json.email }}","options":{},"authentication":"appToken","additionalFields":{"zip":"={{ $json.zip }}","city":"={{ $json.city }}","phone":"={{ $json.phone }}","state":"={{ $json.state }}","message":"=Address: {{ $json.address }}, {{ $json.city }}, {{ $json.state }} {{ $json.zip }}\nSource: ScraperCity People Finder reverse lookup","lastName":"={{ $json.lastName }}","firstName":"={{ $json.firstName }}"}},"credentials":{"hubspotAppToken":{"id":"credential-id","name":"HubSpot App Token"}},"typeVersion":2},{"id":"a1000000-0000-0000-0000-000000000099","name":"Overview","type":"n8n-nodes-base.stickyNote","position":[-2600,100],"parameters":{"width":450,"height":580,"content":"## How it works\n1. **Configure Lookup Parameters** -- set the email addresses you want to reverse-lookup and the max results per search.\n2. **Start People Finder Scrape** -- submits the emails to ScraperCity and receives an async job ID.\n3. **Polling loop** -- checks job status every 60 seconds until the scrape status is SUCCEEDED.\n4. **Download and parse** -- fetches the CSV result, parses rows into contact records, deduplicates by email, and filters out rows missing an email.\n5. **Upsert to HubSpot** -- maps name, phone, and address fields and creates or updates each contact in HubSpot CRM.\n\n## Setup steps\n1. Add a **ScraperCity API Key** credential: HTTP Header Auth, header `Authorization`, value `Bearer YOUR_KEY`.\n2. Add a **HubSpot App Token** credential using your HubSpot private app token.\n3. In **Configure Lookup Parameters**, replace the example emails with your target list (comma-separated).\n4. Click **Execute workflow** to run."},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000100","name":"Section -- Config","type":"n8n-nodes-base.stickyNote","position":[-2040,-160],"parameters":{"color":7,"width":730,"height":330,"content":"## Configuration\n**Configure Lookup Parameters** is the only node you must edit. Enter target emails as a comma-separated string. **max_results** controls how many address records ScraperCity returns per email. All credentials are managed through n8n credential store -- no API keys in node parameters."},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000101","name":"Section -- Scrape Submit","type":"n8n-nodes-base.stickyNote","position":[-1290,-160],"parameters":{"color":7,"width":730,"height":330,"content":"## Scrape Submission\n**Start People Finder Scrape** posts the email list to ScraperCity's People Finder endpoint. **Store Run ID** captures the returned `runId` so the polling loop can reference it. **Wait Before First Poll** pauses 30 seconds before the first status check."},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000102","name":"Section -- Async Polling Loop","type":"n8n-nodes-base.stickyNote","position":[-540,-160],"parameters":{"color":7,"width":480,"height":530,"content":"## Async Polling Loop\n**Poll Loop** iterates the status check. **Check Scrape Status** queries `/api/v1/scrape/status/{runId}`. **Is Scrape Complete?** routes to download on `SUCCEEDED`. Otherwise **Wait Before Retry** pauses 60 seconds and routes back into **Poll Loop** to retry. ScraperCity scrapes typically finish in 10--60 minutes."},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000103","name":"Section -- Results Processing","type":"n8n-nodes-base.stickyNote","position":[-40,-160],"parameters":{"color":7,"width":730,"height":330,"content":"## Results Processing\n**Download Scrape Results** fetches the completed CSV. **Parse CSV Results** converts rows to JSON objects. **Remove Duplicate Contacts** deduplicates by email field. **Filter Valid Contacts** drops any rows without an email address. **Map Contact Fields** normalises field names ready for HubSpot."},"typeVersion":1},{"id":"a1000000-0000-0000-0000-000000000104","name":"Section -- HubSpot Output","type":"n8n-nodes-base.stickyNote","position":[710,-160],"parameters":{"color":7,"width":730,"height":330,"content":"## HubSpot Output\n**Upsert Contact in HubSpot** creates or updates a contact for each result using the email as the unique key. Address, phone, city, state, and zip are all written to standard HubSpot contact properties. Add a HubSpot App Token credential before running."},"typeVersion":1}],"settings":{"executionOrder":"v1"},"connections":{"Poll Loop":{"main":[[{"node":"Check Scrape Status","type":"main","index":0}],[]]},"Store Run ID":{"main":[[{"node":"Wait Before First Poll","type":"main","index":0}]]},"Parse CSV Results":{"main":[[{"node":"Remove Duplicate Contacts","type":"main","index":0}]]},"Wait Before Retry":{"main":[[{"node":"Poll Loop","type":"main","index":0}]]},"Map Contact Fields":{"main":[[{"node":"Upsert Contact in HubSpot","type":"main","index":0}]]},"Check Scrape Status":{"main":[[{"node":"Is Scrape Complete?","type":"main","index":0}]]},"Is Scrape Complete?":{"main":[[{"node":"Download Scrape Results","type":"main","index":0}],[{"node":"Wait Before Retry","type":"main","index":0}]]},"Filter Valid Contacts":{"main":[[{"node":"Map Contact Fields","type":"main","index":0}]]},"Wait Before First Poll":{"main":[[{"node":"Poll Loop","type":"main","index":0}]]},"Download Scrape Results":{"main":[[{"node":"Parse CSV Results","type":"main","index":0}]]},"Remove Duplicate Contacts":{"main":[[{"node":"Filter Valid Contacts","type":"main","index":0}]]},"Start People Finder Scrape":{"main":[[{"node":"Store Run ID","type":"main","index":0}]]},"Configure Lookup Parameters":{"main":[[{"node":"Start People Finder Scrape","type":"main","index":0}]]},"When clicking 'Execute workflow'":{"main":[[{"node":"Configure Lookup Parameters","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":21,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.set":{"count":3},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.wait":{"count":2},"n8n-nodes-base.filter":{"count":1},"n8n-nodes-base.hubspot":{"count":1},"n8n-nodes-base.stickyNote":{"count":6},"n8n-nodes-base.httpRequest":{"count":3},"n8n-nodes-base.manualTrigger":{"count":1},"n8n-nodes-base.splitInBatches":{"count":1},"n8n-nodes-base.removeDuplicates":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Alex Berman","username":"alexberman","bio":"Serial entrepreneur, author of The Cold Email Manifesto, 100K+ YouTube subscribers. Built ScraperCity - web scraping and lead generation SaaS with 12+ scrapers including Apollo, Google Maps, People Finder, and a 3M+ contact B2B Lead Database.","verified":true,"links":["https://scrapercity.com"],"avatar":"https://gravatar.com/avatar/0526442f3f7a36050517a2796f820fddb26c5f6c873b7af4a560b6ba9a177c3d?r=pg&d=retro&size=200"},"nodes":[{"id":19,"icon":"file:httprequest.svg","name":"n8n-nodes-base.httpRequest","codex":{"data":{"alias":["API","Request","URL","Build","cURL"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" 🪢","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/world-poetry-day-workflow/","icon":"📜","label":"Celebrating World Poetry Day with a daily poem in Telegram"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/","icon":"🎨","label":"Automate Designs with Bannerbear and n8n"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" 🕸️","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"📱","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/","icon":"🧰","label":"How to use the HTTP Request Node - 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