{ "workflow": { "id": 6330, "name": "Extract local business contacts with Google Sheets, SerpAPI, Apify & GPT-4o", "views": 1440, "recentViews": 0, "totalViews": 1440, "createdAt": "2025-07-23T17:25:59.562Z", "description": "### Extract Local Business Contacts with Google Sheets, SerpAPI & GPT‑4o\n\n**Status:** Ready for Use ✅ \n**Disclaimer:** This workflow relies on **community nodes** that are not part of n8n’s core package. \nInstall the following from **n8n → Community Nodes** before running:\n\n- **n8n-nodes-langchain** \n- **n8n-nodes-openai** (Structured Output Parser) \n- **n8n-nodes-apify**\n\n---\n\n### 📝 Description\nThis **n8n workflow** automates discovery of local‑business contact details by search term and location, then enriches the results with publicly listed email addresses using **GPT‑4o AI**.\n\n---\n\n### 🔑 Key Features\n\n#### 🔗 Google Sheets Integration\n- Reads search terms and locations from a Google Sheet. \n- Processes only rows that are **not** marked `Complete`, preventing duplicates.\n\n#### 🗺️ Google Maps Search via SerpAPI\n- Queries Google Maps through **SerpAPI** for every search‑term‑and‑location pair. \n- Retrieves the following fields: **business name, website, street address, and phone number**.\n\n#### 🧠 Website Scraping & Email Extraction\n1. Scrapes the business homepage content with **Apify’s Fast Website Content Crawler**. \n2. Sends the scraped HTML to a **GPT‑4o AI Agent**. \n3. Extracts any publicly listed **email address**. \n4. Returns a clean, structured JSON object for downstream use.\n\n#### 💾 Data Storage & Tracking\n- Writes every result to a **Results** tab in the same Google Sheet. \n- Marks the corresponding row in the **Searches** tab as `Complete` once finished.\n\n#### 🧱 Extensible Design\nThe workflow uses modular sub‑workflows and AI agents. \nYou can easily extend it to add:\n\n- Phone‑number verification with Twilio \n- Social‑media enrichment with Clearbit \n- Exports to **HubSpot**, **Salesforce**, **Airtable**, **PostgreSQL**, or CSV files\n\n---\n\n### 📄 Google Sheet Setup\nCreate a **Searches** tab with these exact columns (one header row):\n\nSearch | Area | Area Name | Complete\n\nCreate a results tab with these columns\n\ntitle | website | address | phone | Search | Search Name | Area | email (Manual Entry)\n\n\n\n---\n\n### ⚙️ Prerequisites\n1. **Google Cloud Project** with **Google Sheets API** and **Google Drive API** enabled \n2. **SerpAPI** account (free trial or paid) – obtain an API key \n3. **Apify** account (free trial or paid) with the **Fast Website Content Crawler** actor installed \n4. **OpenAI** account with an API key that can access GPT‑4o models\n\n---\n\n### 🚀 Setup Instructions\n\n1. **Copy the Google Sheet** \n - Make a personal copy of the template sheet. \n - Ensure the tab names are **Searches** and **Results**. \n - https://docs.google.com/spreadsheets/d/1QgcVMlXRlM_5ZFFUHr6bVK-93Tzia9XseTX03ZYnowI/edit?usp=sharing\n\n2. **Configure Google Sheets nodes in n8n** \n - Open the workflow. \n - Update the nodes **Extract Search Terms** and **Save Emails to Sheet** to point at your copied sheet. \n - Authenticate using Google OAuth2 credentials that have access to the sheet.\n\n3. **Add SerpAPI credentials** \n - Sign in at <https://serpapi.com>. \n - Copy your API key. \n - In the **Search Google Maps** node, create a new credential and paste the key.\n\n4. **Set up Apify** \n - Sign up at <https://apify.com>. \n - Add the **Fast Website Content Crawler** actor to your account. \n - In the **Scrape Web Page** HTTP node, append `?token=YOUR_API_KEY` to the actor URL.\n\n5. **Add your OpenAI API key** \n - Go to <https://platform.openai.com>. \n - Generate an API key. \n - Add it to the **AI Agent** and **OpenAI Chat Model** node credentials.\n\n---\n\n### ✅ Running the Workflow\n1. Click **Execute Workflow** in n8n. \n2. For each unprocessed row in the **Searches** tab, the automation will: \n 1. Retrieve business information from Google Maps via SerpAPI. \n 2. Scrape the business website using Apify. \n 3. Use GPT‑4o to extract a public email address. \n 4. Write all collected data to the **Results** tab. \n 5. Mark the original row as `Complete`.\n\n---\n\n### 🧩 Example Use Cases\n- Build highly targeted lead lists for **sales** and **marketing** outreach. \n- Compile local business directories for regional websites or apps. \n- Automate contact‑information collection for **lead‑generation** campaigns and reduce manual data entry.\n\n## 🤝 Connect with Me\n\n## Description \nI’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using **n8n**, **AI agents**, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects.\n\nIf you found this workflow helpful or want to talk through an idea, I’d love to hear from you.\n\n## Links \n🌐 Website: [https://www.ynteractive.com](https://www.ynteractive.com) \n📺 YouTube: [@ynteractivetraining](https://www.youtube.com/@ynteractivetraining) \n💼 LinkedIn: [https://www.linkedin.com/in/robert-breen](https://www.linkedin.com/in/robert-breen) \n📬 Email: rbreen@ynteractive.com", "workflow": { "meta": { "instanceId": "efb474b59b0341d7791932605bd9ff04a6c7ed9941fdd53dc4a2e4b99a6f9439" }, "nodes": [ { "id": "0377cde7-39de-4a27-9f57-2ac62ecae89c", "name": "When clicking ‘Execute workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -2520, 400 ], "parameters": {}, "typeVersion": 1 }, { "id": "ac9d9f3b-db6c-4491-a1ce-ebfff9652ea3", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -700, 780 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "a05ec908-7476-49ec-9b32-3355cec11dce", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -580, 780 ], "parameters": { "jsonSchemaExample": "{\n\t\"email\": \"emailaddress\"\n}" }, "typeVersion": 1.2 }, { "id": "f6bbdf13-a0c1-4d9e-9157-c1a55a06e16b", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "onError": "continueRegularOutput", "position": [ -1160, 260 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "2003373e-cb00-4c74-b0bf-7ddb677ddb96", "name": "Execute Workflow", "type": "n8n-nodes-base.executeWorkflow", "onError": "continueRegularOutput", "position": [ -640, 200 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "SDMXLfMXOQ6TDfKq", "cachedResultName": "Email Extraction Project" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } }, "typeVersion": 1.2 }, { "id": "17c39dd5-5c44-4b95-ad50-591224d5517c", "name": "Extract Search Terms", "type": "n8n-nodes-base.googleSheets", "position": [ -2300, 400 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit#gid=0", "cachedResultName": "Searches" }, "documentId": { "__rl": true, "mode": "list", "value": "1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit?usp=drivesdk", "cachedResultName": "Searches&Results" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "executeOnce": true, "typeVersion": 4.6 }, { "id": "4222fa4d-d0e0-4e91-90bf-dead1424ed2c", "name": "Keep Unprocessed Rows", "type": "n8n-nodes-base.filter", "position": [ -2080, 400 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "c295c5ea-1ec4-4c9f-bf12-f4c23c60543f", "operator": { "type": "string", "operation": "empty", "singleValue": true }, "leftValue": "={{ $json.Complete }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "4de8ae34-2fea-4169-ada9-80cad9ee2e87", "name": "Filter to first row", "type": "n8n-nodes-base.code", "position": [ -1860, 400 ], "parameters": { "jsCode": "return [items[0]];" }, "typeVersion": 2 }, { "id": "af38c3a1-1414-4dcf-932d-e4a1db059a91", "name": "Mark Row as Completed", "type": "n8n-nodes-base.googleSheets", "position": [ -1640, 300 ], "parameters": { "columns": { "value": { "Search": "={{ $json.Search }}", "Complete": "Yes" }, "schema": [ { "id": "Search", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Search", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Area", "type": "string", "display": true, "required": false, "displayName": "Area", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Area Name", "type": "string", "display": true, "required": false, "displayName": "Area Name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Complete", "type": "string", "display": true, "required": false, "displayName": "Complete", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "Search" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit#gid=0", "cachedResultName": "Searches" }, "documentId": { "__rl": true, "mode": "list", "value": "1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit?usp=drivesdk", "cachedResultName": "Searches&Results" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "e0087b09-f158-4ce8-bb74-ce45b5d9dfa6", "name": "Search Google Maps", "type": "n8n-nodes-serpapi.serpApi", "onError": "continueRegularOutput", "position": [ -1640, 500 ], "parameters": { "q": "={{ $json.Search }}", "ll": "={{ $json.Area }}", "operation": "google_maps", "requestOptions": {}, "additionalFields": {} }, "credentials": { "serpApi": { "id": "credential-id", "name": "serpApi Credential" } }, "typeVersion": 1 }, { "id": "fc558eef-8092-42f7-ab51-41c7002cb50b", "name": "Format output as table", "type": "n8n-nodes-base.code", "onError": "continueRegularOutput", "position": [ -1420, 500 ], "parameters": { "jsCode": "const results = items[0].json.local_results || [];\n\nconst parsedResults = results.map(entry => {\n // Remove \"/url?q=\" if present in the website\n let cleanWebsite = entry.website || null;\n if (cleanWebsite && cleanWebsite.startsWith(\"/url?q=\")) {\n cleanWebsite = cleanWebsite.replace(\"/url?q=\", \"\").split(\"&\")[0];\n }\n\n return {\n title: entry.title || null,\n website: cleanWebsite,\n address: entry.address || null,\n phone: entry.phone || null,\n };\n});\n\n// Return each result as a separate item\nreturn parsedResults.map(result => ({ json: result }));\n" }, "typeVersion": 2 }, { "id": "2d3fa5a3-f338-4eb8-be95-c915ce3f189a", "name": "Save Emails to Sheet", "type": "n8n-nodes-base.googleSheets", "onError": "continueRegularOutput", "position": [ -940, 0 ], "parameters": { "columns": { "value": { "Area": "={{ $('Extract Search Terms').item.json.Area }}", "phone": "={{ $('Format output as table').item.json.phone }}", "title": "={{ $('Format output as table').item.json.title }}", "Search": "={{ $('Extract Search Terms').item.json.Search }}", "address": "={{ $('Format output as table').item.json.address }}", "website": "={{ $('Format output as table').item.json.website }}", "Search Name": "={{ $('Extract Search Terms').item.json['Area Name'] }}", "email (Manual Entry)": "={{ $json.output.email }}" }, "schema": [ { "id": "title", "type": "string", "display": true, "removed": false, "required": false, "displayName": "title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "website", "type": "string", "display": true, "required": false, "displayName": "website", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "address", "type": "string", "display": true, "required": false, "displayName": "address", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "phone", "type": "string", "display": true, "required": false, "displayName": "phone", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Search", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Search", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Search Name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Search Name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Area", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Area", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "email (Manual Entry)", "type": "string", "display": true, "removed": false, "required": false, "displayName": "email (Manual Entry)", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "title" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "list", "value": 1470668196, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit#gid=1470668196", "cachedResultName": "Results" }, "documentId": { "__rl": true, "mode": "list", "value": "1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1nwgaTyp239ErzFS0IaDnJca-6LkIqvshmiHHs5bX77o/edit?usp=drivesdk", "cachedResultName": "Searches&Results" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "947fad74-dd81-4993-947e-a1e9264c1056", "name": "Scrape Web Page", "type": "n8n-nodes-base.httpRequest", "onError": "continueRegularOutput", "position": [ -940, 400 ], "parameters": { "url": "=https://api.apify.com/v2/acts/6sigmag~fast-website-content-crawler/run-sync-get-dataset-items\n", "method": "POST", "options": {}, "jsonBody": "={\n \"startUrls\": [\n \"{{ $json.website }}\"\n ]\n}", "sendBody": true, "specifyBody": "json", "authentication": "genericCredentialType", "genericAuthType": "httpQueryAuth" }, "credentials": { "httpQueryAuth": { "id": "credential-id", "name": "httpQueryAuth Credential" } }, "typeVersion": 4.2, "alwaysOutputData": true }, { "id": "eaab5179-b3a7-4c94-b2b9-0db29509573f", "name": "Extract Email - AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueRegularOutput", "position": [ -720, 560 ], "parameters": { "text": "={{ $json.text }}", "options": { "systemMessage": "extract the email address from the text. if there is no email address, output null. " }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2, "alwaysOutputData": true }, { "id": "4a9f36d4-fd8b-409c-a1af-6be7248ed671", "name": "Reduce to 1 row", "type": "n8n-nodes-base.summarize", "onError": "continueRegularOutput", "position": [ -940, 200 ], "parameters": { "options": {}, "fieldsToSummarize": { "values": [ { "field": "title" } ] } }, "typeVersion": 1.1 }, { "id": "0fa2b9a4-3e33-4830-86a5-5466f4b9ab1a", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -2380, 20 ], "parameters": { "width": 980, "content": "## n8n Workflow: Local Business Contact Finder with Email Extraction\n\n** Feel free to contact me if you need help implementing (rbreen@ynteractive.com) **" }, "typeVersion": 1 }, { "id": "72de7718-1d85-47e4-ab0b-5e559323f6d4", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -3360, -80 ], "parameters": { "width": 780, "height": 1160, "content": "## How to Implement This n8n Workflow\n\nFollow the steps below to get this business contact finder workflow up and running in your own environment:\n\n1. Copy the Google Sheet\nMake a copy of the search input/output sheet to your own Google Drive:\n\n👉 https://docs.google.com/spreadsheets/d/1QgcVMlXRlM_5ZFFUHr6bVK-93Tzia9XseTX03ZYnowI/edit?usp=sharing\n\n2. Update the Google Sheets Nodes\nOpen the workflow in n8n.\n\nUpdate both Google Sheets nodes (\"Extract Search Terms\" and \"Save Emails to Sheet\") to point to your copied sheet.\n\nMake sure you select the correct sheet/tab names (Searches and Results).\n\nConnect your Google account using the Google Sheets OAuth2 credentials.\n\n3. Get a SerpAPI Key\nSign up for a free trial at 👉 https://serpapi.com/dashboard\n\nCopy your API key.\n\nIn the “Search Google Maps” node:\n\nClick on credentials.\n\nAdd a new SerpAPI credential using your API key.\n\n4. Set Up Apify Crawler\nSign up for an Apify account at 👉 https://apify.com\n\nGo to the Actors section and add Fast Website Content Crawler to your account.\n\nIn the \"Scrape Web Page\" HTTP node:\n\nUnder credentials, enter your Apify API key as a query string parameter (token=YOUR_API_KEY).\n\n5. Add Your OpenAI Key\nSign up at 👉 https://platform.openai.com/\n\nGo to API keys and copy your secret key.\n\nIn the \"AI Agent\" (LangChain node) and \"OpenAI Chat Model\" nodes:\n\nAdd your OpenAI key under the OpenAI credentials section.\n\n✅ Once Complete:\nClick \"Execute Workflow\" to run the automation. The script will:\n\nRead a search + location from your Google Sheet.\n\nPull business info from Google Maps.\n\nVisit each business’s website and scrape its content.\n\nUse AI to extract an email address if available.\n\nSave the full results into the \"Results\" tab and mark the search as complete.\n\n" }, "typeVersion": 1 }, { "id": "c771ab3b-428f-46d9-be51-6ea1ce2a3659", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -2560, -80 ], "parameters": { "color": 5, "width": 2260, "height": 1160, "content": "" }, "typeVersion": 1 } ], "pinData": { "When clicking ‘Execute workflow’": [ {} ] }, "connections": { "Loop Over Items": { "main": [ [ { "node": "Save Emails to Sheet", "type": "main", "index": 0 }, { "node": "Reduce to 1 row", "type": "main", "index": 0 } ], [ { "node": "Scrape Web Page", "type": "main", "index": 0 } ] ] }, "Reduce to 1 row": { "main": [ [ { "node": "Execute Workflow", "type": "main", "index": 0 } ] ] }, "Scrape Web Page": { "main": [ [ { "node": "Extract Email - AI Agent", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Extract Email - AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Search Google Maps": { "main": [ [ { "node": "Format output as table", "type": "main", "index": 0 } ] ] }, "Filter to first row": { "main": [ [ { "node": "Mark Row as Completed", "type": "main", "index": 0 }, { "node": "Search Google Maps", "type": "main", "index": 0 } ] ] }, "Extract Search Terms": { "main": [ [ { "node": "Keep Unprocessed Rows", "type": "main", "index": 0 } ] ] }, "Keep Unprocessed Rows": { "main": [ [ { "node": "Filter to first row", "type": "main", "index": 0 } ] ] }, "Format output as table": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Extract Email - AI Agent": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Extract Email - AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "When clicking ‘Execute workflow’": { "main": [ [ { "node": "Extract Search Terms", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 18, "nodeTypes": { "n8n-nodes-base.code": { "count": 2 }, "n8n-nodes-base.filter": { "count": 1 }, "n8n-nodes-base.summarize": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 3 }, "n8n-nodes-serpapi.serpApi": { "count": 1 }, "n8n-nodes-base.httpRequest": { "count": 1 }, "n8n-nodes-base.googleSheets": { "count": 3 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "n8n-nodes-base.splitInBatches": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.executeWorkflow": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "Robert Breen", "username": "rbreen", "bio": "Professional services consultant with over 10 years of experience solving complex business problems across industries. I specialize in n8n and process automation—designing custom workflows that integrate tools like Google Calendar, Airtable, GPT, and internal systems. Whether you need to automate scheduling, sync data, or streamline operations, I build solutions that save time and drive results.", "verified": true, "links": [ "https://ynteractive.com/" ], "avatar": "https://gravatar.com/avatar/15bb5ad97bad47ca2079e1fa123a8287000c72c86498c90043f70ec2adab05f3?r=pg&d=retro&size=200" }, "nodes": [ { "id": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "❤️", "label": "Love at first sight: Ricardo’s n8n journey" }, { "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-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/supercharging-your-conference-registration-process-with-n8n/", "icon": "🎫", "label": "Supercharging your conference registration process with n8n" }, { "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/", "icon": "⏲", "label": "Creating triggers for n8n workflows using polling" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/", "icon": "📈", "label": "Migrating Community Metrics to Orbit using n8n" }, { "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/your-business-doesnt-need-you-to-operate/", "icon": " 🖥️", "label": "Hey founders! 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It allows you to modularize your workflows and have a single source of truth for series of actions you perform often. ", "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflow/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers", "Flow" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Execute Workflow", "color": "#ff6d5a" }, "iconData": { "icon": "sign-in-alt", "type": "icon" }, "displayName": "Execute Sub-workflow", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 565, "icon": "fa:sticky-note", "name": "n8n-nodes-base.stickyNote", "codex": { "data": { "alias": [ "Comments", "Notes", "Sticky" ], "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Sticky Note", "color": "#FFD233" }, "iconData": { "icon": "sticky-note", "type": "icon" }, "displayName": "Sticky Note", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 834, "icon": "file:code.svg", "name": "n8n-nodes-base.code", "codex": { "data": { "alias": [ "cpde", "Javascript", "JS", "Python", "Script", "Custom Code", "Function" ], "details": "The Code node allows you to execute JavaScript in your workflow.", "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers", "Data Transformation" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Code" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Code", "typeVersion": 2, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 838, "icon": "fa:mouse-pointer", "name": "n8n-nodes-base.manualTrigger", "codex": { "data": { "resources": { "generic": [], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"trigger\"]", "defaults": { "name": "When clicking ‘Execute workflow’", "color": "#909298" }, "iconData": { "icon": "mouse-pointer", "type": "icon" }, "displayName": "Manual Trigger", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 844, "icon": "fa:filter", "name": "n8n-nodes-base.filter", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).", "resources": { "generic": [], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Flow", "Data Transformation" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Filter", "color": "#229eff" }, "iconData": { "icon": "filter", "type": "icon" }, "displayName": "Filter", "typeVersion": 2, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 1119, "icon": "fa:robot", "name": "@n8n/n8n-nodes-langchain.agent", "codex": { "data": { "alias": [ "LangChain", "Chat", "Conversational", "Plan and Execute", "ReAct", "Tools" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Agents", "Root Nodes" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "AI Agent", "color": "#404040" }, "iconData": { "icon": "robot", "type": "icon" }, "displayName": "AI Agent", "typeVersion": 3, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1153, "icon": "file:openAiLight.svg", "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "OpenAI Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "OpenAI Chat Model", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1179, "icon": "fa:code", "name": "@n8n/n8n-nodes-langchain.outputParserStructured", "codex": { "data": { "alias": [ "json", "zod" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Output Parsers" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Structured Output Parser" }, "iconData": { "icon": "code", "type": "icon" }, "displayName": "Structured Output Parser", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1241, "icon": "file:summarize.svg", "name": "n8n-nodes-base.summarize", "codex": { "data": { "alias": [ "Append", "Array", "Average", "Concatenate", "Count", "Group", 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