{ "workflow": { "id": 8864, "name": "Indeed job matching to Telegram with BrowserAct, Gemini & Telegram", "views": 211, "recentViews": 0, "totalViews": 211, "createdAt": "2025-09-23T12:22:44.828Z", "description": "## Analyze job market data with AI to find matching jobs\n\n### This n8n template helps you stay on top of the job market by matching scraped job offers with your resume using an AI Agent.\n\nThis workflow is perfect for **job seekers, recruiters, or market analysts** who need to find specific job opportunities without manually sifting through countless listings.\n\n---\n### Steps to Take\n* **Create BrowserAct Workflow:** Set up the **Job Market Intelligence** template in your BrowserAct account.\n* **Add BrowserAct Token:** Connect your BrowserAct account credentials to the **HTTP Request** node.\n* **Update Workflow ID:** Change the `workflow_id` value in the **HTTP Request** node to match the one from your BrowserAct workflow.\n* **Connect Gemini:** Add your Google Gemini credentials and update your **resume** inside the prompt in the **AI Agent** node.\n* **Configure Telegram:** Connect your Telegram account and add your Channel ID to the **Send a text message** node.\n\n---\n### How it works\n* The workflow is triggered manually by clicking \"Execute workflow,\" but you can easily set it to run on a schedule.\n* It uses an **HTTP Request** node to start a web scraping task via the **BrowserAct** API to collect the latest job offers.\n* A series of **If** and **Wait** nodes monitor the scraping job, ensuring the full data is ready before proceeding.\n* An **AI Agent** node, powered by **Google Gemini**, processes the job listings and filters them to find the best matches for your resume.\n* A **Code** node then transforms the AI's output into a clean, readable format.\n* Finally, the filtered job offers are sent directly to you via **Telegram**.\n\n---\n### Requirements\n* **BrowserAct** API account\n* **BrowserAct** **“Job Market Intelligence”** Template\n* **Gemini** account\n* **Telegram** credentials\n\n---\n\n### Need Help ?\n* #### [How to Find Your BrowseAct API Key & Workflow ID](https://www.youtube.com/watch?v=pDjoZWEsZlE)\n* #### [How to Connect n8n to Browseract](https://www.youtube.com/watch?v=RoYMdJaRdcQ)\n* #### [How to Use & Customize BrowserAct Templates](https://www.youtube.com/watch?v=CPZHFUASncY)\n\n### Workflow Guidance and Showcase\n\n* #### [Never Manually Search for a Job Again (AI Automation Tutorial)](https://youtu.be/mRJw8Jyrizg)", "workflow": { "id": "potYDGdhPXDUMhZj", "meta": { "instanceId": "e2a1d0ec98fd0994972a016020dcf90b56d31fa85f2abd02801701fb8fc45e3d", "templateCredsSetupCompleted": true }, "name": "Indeed Job Matching to Telegram with BrowserAct, Gemini & Telegram", "tags": [], "nodes": [ { "id": "7ef43820-825a-4e94-a9f2-483376e79768", "name": "When clicking ‘Execute workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -1376, 96 ], "parameters": {}, "typeVersion": 1 }, { "id": "26c1fd7c-423c-4b36-984b-f4603ea4f1b9", "name": "HTTP Request", "type": "n8n-nodes-base.httpRequest", "onError": "continueRegularOutput", "position": [ -1152, 96 ], "parameters": { "url": "https://api.browseract.com/v2/workflow/run-task", "method": "POST", "options": {}, "sendBody": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "workflow_id", "value": "52804638608646754" } ] }, "genericAuthType": "httpBearerAuth" }, "credentials": { "httpBearerAuth": { "id": "credential-id", "name": "httpBearerAuth Credential" } }, "retryOnFail": true, "typeVersion": 4.2, "alwaysOutputData": true }, { "id": "3d4b822a-435b-4894-8b39-ca10e4d0140d", "name": "HTTP Request1", "type": "n8n-nodes-base.httpRequest", "position": [ -672, 80 ], "parameters": { "url": "https://api.browseract.com/v2/workflow/get-task", "options": {}, "sendQuery": true, "authentication": "genericCredentialType", "genericAuthType": "httpBearerAuth", "queryParameters": { "parameters": [ { "name": "=task_id", "value": "={{ $json.id }}" } ] } }, "credentials": { "httpBearerAuth": { "id": "credential-id", "name": "httpBearerAuth Credential" } }, "typeVersion": 4.2 }, { "id": "5550b6de-13b4-4cde-841f-b346cde3f8fe", "name": "Wait", "type": "n8n-nodes-base.wait", "position": [ -416, 352 ], "webhookId": "bb2c5339-e061-499b-9b16-d48f649e6fb9", "parameters": { "unit": "minutes", "amount": 2 }, "typeVersion": 1.1 }, { "id": "70406173-a3d9-4db7-a370-c9bb997800c1", "name": "Wait1", "type": "n8n-nodes-base.wait", "position": [ -960, 352 ], "webhookId": "7593e4d6-e23f-482b-9f7b-d0a24461b3ea", "parameters": { "unit": "minutes", "amount": 1 }, "typeVersion": 1.1 }, { "id": "295fedba-bc49-451a-8b9c-b0dda75e5b51", "name": "If", "type": "n8n-nodes-base.if", "position": [ -960, 96 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "d48ae258-78a0-4b26-923d-2643b6b774c6", "operator": { "type": "object", "operation": "notExists", "singleValue": true }, "leftValue": "={{ $json.error }}", "rightValue": "" }, { "id": "3967a169-8432-45bd-8f89-08795fd12679", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $json.id }}", "rightValue": "null" } ] } }, "retryOnFail": false, "typeVersion": 2.2 }, { "id": "da4a5db4-a2f2-40e7-ae6a-3f46e820fbf3", "name": "If1", "type": "n8n-nodes-base.if", "position": [ -400, 80 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "0347a2a2-eb32-414d-9494-4e648078cf40", "operator": { "type": "object", "operation": "notExists", "singleValue": true }, "leftValue": "={{ $json.error }}", "rightValue": "" }, { "id": "99f31959-6f27-40dd-97c3-6ff611da1e0b", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.status }}", "rightValue": "finished" } ] } }, "typeVersion": 2.2 }, { "id": "8fc50c6f-8501-49ce-b697-04fa9210ef2a", "name": "Send a text message", "type": "n8n-nodes-base.telegram", "position": [ 32, 432 ], "webhookId": "f60ccf5f-b6e2-4d06-8c99-9ae53bde267d", "parameters": { "text": "=Title: {{ $json.text.Title }}\nSummary :{{ $json.text.Summary }}\nNeeds: {{ $json.text.Needs }}\nEducarion: {{ $json.text.Education }}\n{{ $json.text.Link }}", "chatId": "@Test", "additionalFields": {} }, "credentials": { "telegramApi": { "id": "credential-id", "name": "telegramApi Credential" } }, "typeVersion": 1.2 }, { "id": "7fa00942-1d87-44a9-8618-b0d7a4546bb2", "name": "Code in JavaScript", "type": "n8n-nodes-base.code", "position": [ -144, 432 ], "parameters": { "jsCode": "// Get the original list from the 'Request' key in the incoming data.\nconst originalList =$input.first().json.output.Request ;\n\n// Create a new array to store the formatted output.\nconst outputItems = [];\n\n// Loop through each item in the original list.\nfor (const item of originalList) {\n // For each item, create a new object in the desired format.\n outputItems.push({\n json: {\n \"text\": item\n }\n });\n}\n\n// Return the new list of formatted objects.\nreturn outputItems;" }, "typeVersion": 2 }, { "id": "5f67b9c3-845f-451b-a314-3ecfbe06d4ef", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -144, 64 ], "parameters": { "text": "=hello this is my resume \n\n\"\nAge: 30\nExperience: 15 years in programming\nSenior Software Engineer\nEducation: Bachlore in Front-end and Back-end Software engineering \nGender: male\nabilities :Product development, innovation in Human Risk Management.\nSeeking a programming job in financial advising can work remot.\n\"\n\nfrom the {{ $json.output.string }} add all the job offers which matches my resume to output the output structure is List of texts that looks like this\n\nformat_final_json_response = {\n \"Request\": [\n {\n \"Title\": \"Title\",\n \"Summary\": \"About\",\n \"Needs\": \"Needs\",\n \"Education\": \"degree\",\n \"Link\": \"Link\"\n }\n ]\n}\n\nRemove duplicated offers (if company name and job title is same)\n\n\nfollow the Output exacly and also if no job is avalble add this sned this to output\n\n{\n \"Request\": [\n {\n \"Title\": \"No job Found\",\n \"Summary\": \"No luck today\",\n \"Needs\": \"No luck today\",\n \"Education\": \"No luck today\",\n \"Link\": \"im so sry to say that no job is aviable for you\"\n }\n ]\n}", "options": {}, "promptType": "define", "needsFallback": true, "hasOutputParser": true }, "typeVersion": 2.2, "alwaysOutputData": false }, { "id": "4aa9cc49-cc7b-46b0-aa75-04c21be931ac", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 144, 288 ], "parameters": { "jsonSchemaExample": "{\n \"Request\": [\n {\n \"Title\": \"Title\",\n \"Summary\": \"About\",\n \"Needs\": \"Needs\",\n \"Education\": \"degree\",\n \"Link\": \"Link\"\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "7996bea7-6736-4a77-8fb8-a4f7fdfa9618", "name": "Sticky Note-Intro", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, -112 ], "parameters": { "width": 592, "height": 424, "content": "## Try It Out!\n### This n8n template helps you stay on top of the job market by matching scraped job offers with your resume using an AI Agent.\n\n### How it works\n* The workflow is triggered manually You Can make it Automatic too.\n* An **HTTP Request** node starts a web scraping task with the **BrowserAct** API to collect job offers.\n* A series of **If** and **Wait** nodes monitor the scraping job until it's finished.\n* An **AI Agent** node, powered by **Google Gemini**, processes the job listings and filters them to find matches for your resume. It's configured to output the results in a specific format.\n* A **Code** node then transforms the AI's output into a clean format.\n* Finally, the filtered job offers are sent directly to you via **Telegram**.\n\n### Requirements\n* **BrowserAct** API account for web scraping\n* **Gemini** account for the AI Agent\n* **BrowserAct** **“Job Market Intelligence”** Template\n* **Telegram** credentials for sending messages\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/UpnCKd7GaU) or Visit Our [Blog](https://www.browseract.com/blog)!\n" }, "typeVersion": 1 }, { "id": "647dc8d1-a1f3-436c-bf7e-8d516d183f61", "name": "Sticky Note-Wait", "type": "n8n-nodes-base.stickyNote", "position": [ -736, -112 ], "parameters": { "color": 5, "width": 496, "height": 180, "content": "## 2. Wait for Scraping to Finish\n\nThese nodes check the status of the scraping task. The `If` node determines if the task is complete. If it's still running, the `Wait` node pauses the workflow for a set period before retrying to check the status." }, "typeVersion": 1 }, { "id": "42f4cafd-5070-4793-bca9-7e4590a88dd2", "name": "Sticky Note-AI", "type": "n8n-nodes-base.stickyNote", "position": [ -208, -112 ], "parameters": { "color": 4, "width": 512, "content": "## 3. Use an AI Agent to Find Matching Jobs\n\nThis node uses an AI Agent to find the best job offers for you. It takes the scraped data and your resume, then processes them to find matching jobs. It's configured with a **Structured Output Parser** to ensure the results are always in the correct format.\n\n### Don't forget to Connect your Gemini and Change your resume. " }, "typeVersion": 1 }, { "id": "6c541147-4d4c-464c-87c5-b55e1333ce06", "name": "Sticky Note-Notifications", "type": "n8n-nodes-base.stickyNote", "position": [ -208, 576 ], "parameters": { "color": 3, "width": 512, "height": 164, "content": "## 4. Send Notifications\n\nThe scraped data is sometimes hard to read. A **Code** node is used here to transform the AI's output into a more readable format. The **Telegram** node then sends the final, filtered job offers directly to you.\n\n### Don't forget to Connect your Telegram and add your Channel ID. " }, "typeVersion": 1 }, { "id": "f4331db0-9b93-416f-9137-0672798a4cc0", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1248, 80 ], "parameters": { "color": 5, "width": 480, "height": 480, "content": "" }, "typeVersion": 1 }, { "id": "7eca99df-860c-409f-bdfb-50150543e302", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -736, 80 ], "parameters": { "color": 5, "width": 496, "height": 480, "content": "" }, "typeVersion": 1 }, { "id": "0edbea28-d451-4a41-8adb-4fd2ea485749", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -208, 64 ], "parameters": { "color": 4, "width": 512, "height": 336, "content": "" }, "typeVersion": 1 }, { "id": "b257da41-e8ba-44a0-9aed-bd7479f7019e", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -208, 416 ], "parameters": { "color": 3, "width": 512, "height": 144, "content": "" }, "typeVersion": 1 }, { "id": "57e7a01d-500e-4a54-a32a-88dfdceafb80", "name": "Sticky Note-How to Use", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, 320 ], "parameters": { "width": 592, "height": 216, "content": "## How to use\n\n1. **Set up Credentials:** Add your credentials for **BrowserAct**, **Google Gemini**, and **Telegram** to the workflow. They will be used by the relevant nodes.\n2. **Set up BrowserAct:** In your **BrowserAct** account, Use **Job Market Intelligence** Template and setup your own template.\n3. **Add WorkFlow ID:** change the **workflow_id** value inside the **Run WorkFlow** node.\n4. **Activate Workflow:** To enable the automated schedule, simply activate the workflow. You can also manually trigger it by clicking the 'Execute Workflow' button to test it." }, "typeVersion": 1 }, { "id": "d2e3a14c-401d-4abd-98c7-7eb4213c277e", "name": "Sticky Note-How to Use1", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, 544 ], "parameters": { "width": 592, "height": 104, "content": "## Need Help ?\n* [How to Find Your BrowseAct API Key & Workflow ID](https://www.youtube.com/watch?v=pDjoZWEsZlE)\n* [How to Connect n8n to Browseract](https://www.youtube.com/watch?v=RoYMdJaRdcQ)\n* [How to Use & Customize BrowserAct Templates](https://www.youtube.com/watch?v=CPZHFUASncY)\n\n" }, "typeVersion": 1 }, { "id": "adf794f6-842f-43d0-bc6f-fcaada21bd28", "name": "Sticky Note-How to Use2", "type": "n8n-nodes-base.stickyNote", "position": [ -1952, -384 ], "parameters": { "color": 7, "width": 2208, "height": 112, "content": "\n### ******** \n## Create BrowserAct Workflow -> Add BrowserAct Token to \"Run Node\" -> Change BrowserAct workflow_id in \"Run Node\" -> Connect Gemini & Change you **resume** inside the prompt in \"Agent Node\" \n## -> Config Telegram Token & Channel ID in \"Send Node\"" }, "typeVersion": 1 }, { "id": "8b7e2e56-cad5-47a2-9723-e4395e733332", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1104, -208 ], "parameters": { "color": 5, "width": 182, "height": 80, "content": "## \n# Run Node" }, "typeVersion": 1 }, { "id": "ea4b3404-9c9e-4823-be35-272afd16c061", "name": "Sticky Note-Scraping", "type": "n8n-nodes-base.stickyNote", "position": [ -1248, -112 ], "parameters": { "color": 5, "width": 480, "height": 180, "content": "## 1. Trigger the Job Scraper\n\nThis workflow uses an HTTP Request to start a job scraping task via the BrowserAct API. This allows you to collect up-to-date job market data.\n\n### Don't forget to add your BrowserAct Workflow ID. " }, "typeVersion": 1 }, { "id": "1a24b054-be51-4a4d-9739-19d1f63acdc2", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -592, -208 ], "parameters": { "color": 5, "width": 182, "height": 80, "content": "## \n# Get Node" }, "typeVersion": 1 }, { "id": "537e59bb-3129-4bf6-9eaa-67d0ba38d118", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -64, -208 ], "parameters": { "color": 4, "width": 230, "height": 80, "content": "## \n# Agent Node" }, "typeVersion": 1 }, { "id": "b83141c8-1966-4bd0-aa14-871f44a9e42d", "name": "Gemini Backup", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ -16, 288 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "da5033b2-0eca-4411-8b79-01742fff27e0", "name": "Gemini", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ -144, 288 ], "parameters": { "options": {} }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "39563737-09ba-44bf-9ca5-1f072d96daf1", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -48, 752 ], "parameters": { "color": 3, "width": 214, "height": 80, "content": "## \n# Send Node" }, "typeVersion": 1 }, { "id": "0bc096fe-fa91-4326-873c-d594cbe63b2e", "name": "Sticky Note-How to Use3", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, 656 ], "parameters": { "width": 592, "height": 80, "content": "## Watch Workflow Guidance and Showcase\n* #### [Never Manually Search for a Job Again (AI Automation Tutorial)](https://youtu.be/mRJw8Jyrizg)" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "b4d6b1aa-9052-4a52-8b0b-2d868cf88a37", "connections": { "If": { "main": [ [ { "node": "HTTP Request1", "type": "main", "index": 0 } ], [ { "node": "Wait1", "type": "main", "index": 0 } ] ] }, "If1": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ], [ { "node": "Wait", "type": "main", "index": 0 } ] ] }, "Wait": { "main": [ [ { "node": "HTTP Request1", "type": "main", "index": 0 } ] ] }, "Wait1": { "main": [ [ { "node": "HTTP Request", "type": "main", "index": 0 } ] ] }, "Gemini": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, "HTTP Request": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Gemini Backup": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 1 } ] ] }, "HTTP Request1": { "main": [ [ { "node": "If1", "type": "main", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Send a text message", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "When clicking ‘Execute workflow’": { "main": [ [ { "node": "HTTP Request", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 30, "nodeTypes": { "n8n-nodes-base.if": { "count": 2 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.wait": { "count": 2 }, "n8n-nodes-base.telegram": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 17 }, "n8n-nodes-base.httpRequest": { "count": 2 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatGoogleGemini": { "count": 2 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "Madame AI Team | Kai", "username": "madame-ai", "bio": "I’m a PhD in Physics turned AI enthusiast, passionate about uncovering how AI is transforming content creation, business, and daily life.", "verified": true, "links": [ "https://www.youtube.com/@AI.madame.english" ], "avatar": "https://gravatar.com/avatar/44c0d2b4b78d8dda7685aea70ef92b2c2339ca9478738c6ed8049cc70e3af32d?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 - The Swiss Army Knife for Workflow Automation" }, { "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/", "icon": "🦄", "label": "Learn how to use webhooks with Mattermost slash commands" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "📈", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "📈", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/automations-for-activists/", "icon": "✨", "label": "How Common Knowledge use workflow automation for activism" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🤟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "🛵", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"output\"]", "defaults": { "name": "HTTP Request", "color": "#0004F5" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "HTTP Request", "typeVersion": 4, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "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/create-a-toxic-language-detector-for-telegram/", "icon": "🤬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "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/how-to-build-a-low-code-self-hosted-url-shortener/", "icon": "🔗", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "⚙️", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "👥", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "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/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/", "icon": "🏷️", "label": "How to automatically manage contributions to open-source projects" }, { "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/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/why-this-product-manager-loves-workflow-automation-with-n8n/", "icon": "🧠", "label": "Why this Product Manager loves workflow automation with n8n" }, { "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/", "icon": "🙌", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "🎖", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.if/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Flow" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "If", "color": "#408000" }, "iconData": { "icon": "map-signs", "type": "icon" }, "displayName": "If", "typeVersion": 2, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 49, "icon": "file:telegram.svg", "name": "n8n-nodes-base.telegram", "codex": { "data": { "alias": [ "human", "form", "wait", "hitl", "approval" ], "resources": { "generic": [ { "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/create-a-toxic-language-detector-for-telegram/", "icon": "🤬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "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/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "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/using-automation-to-boost-productivity-in-the-workplace/", "icon": "💪", "label": "Using Automation to Boost Productivity in the Workplace" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🤟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/", "icon": "💬", "label": "Creating Telegram Bots with n8n, a No-Code Platform" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/" } ] }, "categories": [ "Communication", "HITL" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "HITL": [ "Human in the Loop" ] } } }, "group": "[\"output\"]", "defaults": { "name": "Telegram" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Telegram", "typeVersion": 1, "nodeCategories": [ { "id": 6, "name": "Communication" }, { "id": 28, "name": "HITL" } ] }, { "id": 514, "icon": "fa:pause-circle", "name": "n8n-nodes-base.wait", "codex": { "data": { "alias": [ "pause", "sleep", "delay", "timeout" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "👥", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.wait/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers", "Flow" ] } } }, "group": "[\"organization\"]", "defaults": { "name": "Wait", "color": "#804050" }, "iconData": { "icon": "pause-circle", "type": "icon" }, "displayName": "Wait", "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": 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": 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": 1262, "icon": "file:google.svg", "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Google Gemini Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Google Gemini Chat Model", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] } ], "categories": [ { "id": 32, "name": "Market Research" }, { "id": 47, "name": "AI Chatbot" } ], "image": [] } }