Basic Automatic Gmail Email Labelling with OpenAI and Gmail API

Automatically categorize incoming Gmail emails using the power of OpenAI's language models. This workflow connects your Gmail account to OpenAI, allowing you to intelligently label emails based on their content and your predefined criteria. It starts with a Gmail Trigger that monitors for new emails, then uses an OpenAI Chat Model to analyze the email's subject and body. A sophisticated Gmail labelling agent, backed by an OpenAI agent and a Window Buffer Memory for context, determines the most appropriate label. If a label doesn't exist, the workflow can even create it via the Gmail - create label node before applying it to the message using Gmail - add label to message. This is ideal for marketing teams needing to sort customer inquiries, support departments organizing tickets, or anyone overwhelmed by their inbox who wants to automate email management and reduce manual sorting time. By automating this process, you save significant time and effort previously spent on manually sifting through and categorizing emails, ensuring your inbox remains organized and important messages are easily discoverable.

13 nodesmanual trigger74 views0 copiesMarketing
GmailOpenAI

Workflow JSON

{"nodes": [{"id": "2a41e2da-19f7-4c31-ab93-3a534db3179e", "name": "Gmail Trigger", "type": "n8n-nodes-base.gmailTrigger", "position": [-360, -260], "parameters": {"filters": {}, "pollTimes": {"item": [{"mode": "everyX", "unit": "minutes", "value": 5}]}}, "credentials": {"gmailOAuth2": {"id": "", "name": "[Your gmailOAuth2]"}}, "typeVersion": 1.2}, {"id": "a25e0e42-8eab-49c5-a553-797da40eb623", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [-220, -60], "parameters": {"options": {"maxTokens": 4096}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "notesInFlow": false, "typeVersion": 1}, {"id": "cf437748-a0df-42a2-b1ca-f93162d85bfe", "name": "Gmail - read labels", "type": "n8n-nodes-base.gmailTool", "position": [80, -40], "webhookId": "d8ec9401-a9ff-4fe2-9c1e-5a8036cd96c9", "parameters": {"resource": "label", "returnAll": true, "descriptionType": "manual", "toolDescription": "Tool to read all existing gmail labels"}, "credentials": {"gmailOAuth2": {"id": "", "name": "[Your gmailOAuth2]"}}, "typeVersion": 2.1}, {"id": "152f1970-7a1f-4977-9c21-64b69242d3a9", "name": "Gmail - get message", "type": "n8n-nodes-base.gmailTool", "position": [260, -40], "webhookId": "d8ec9401-a9ff-4fe2-9c1e-5a8036cd96c9", "parameters": {"messageId": "={{ $fromAI('gmail_message_id', 'id of the gmail message, like 1944fdc33f544369', 'string') }}", "operation": "get", "descriptionType": "manual", "toolDescription": "Tool to read a specific message based on the message ID"}, "credentials": {"gmailOAuth2": {"id": "", "name": "[Your gmailOAuth2]"}}, "typeVersion": 2.1}, {"id": "ae09cedc-9675-4080-bcdc-3d6c4e4bc490", "name": "Gmail - add label to message", "type": "n8n-nodes-base.gmailTool", "position": [460, -40], "webhookId": "7a87b026-1c6e-40e1-a062-aefdd1af1585", "parameters": {"labelIds": "={{ $fromAI('gmail_categories', 'array of label ids') }}", "messageId": "={{ $fromAI('gmail_message_id') }}", "operation": "addLabels", "descriptionType": "manual", "toolDescription": "Tool to add label to message"}, "credentials": {"gmailOAuth2": {"id": "", "name": "[Your gmailOAuth2]"}}, "typeVersion": 2.1}, {"id": "be4a92ab-d3ab-451b-8655-172851f68628", "name": "Gmail - create label", "type": "n8n-nodes-base.gmailTool", "position": [640, -40], "webhookId": "d8ec9401-a9ff-4fe2-9c1e-5a8036cd96c9", "parameters": {"name": "={{ $fromAI('new_label_name', 'new label name', 'string' ) }} ", "options": {}, "resource": "label", "operation": "create", "descriptionType": "manual", "toolDescription": "Tool to create a new label, only use if label does not already exist"}, "credentials": {"gmailOAuth2": {"id": "", "name": "[Your gmailOAuth2]"}}, "typeVersion": 2.1}, {"id": "a40466d2-2fe3-4a97-98fe-b14cc38cc141", "name": "Gmail labelling agent", "type": "@n8n/n8n-nodes-langchain.agent", "notes": "Objective:\nAutomatically categorize incoming emails based on existing Gmail labels or create a new label if none match.\n\nTools:\n- Get message\n- Read all labels\n- Create label\n- Assign label to message\n\nInstructions:\n\nLabel Matching:\n\nAnalyze the email's subject, sender, recipient, keywords, and content.\nCompare with existing Gmail labels to find the most relevant match.\nLabel Assignment:\n\nAssign the email to the most appropriate existing label.`\nRemove the inbox label if the email is of less importance (like ads, promotions, aka \"Reclame\"), keep normal and important emails in the inbox.\nIf no suitable label exists, create a new label based on the existing labels. Try reusing existing labels as much as possible. Always create a label as a sublabel, if no label applies, if the main label already exists, create the new label under the existing label, if no main label exists, create the label AI and create the new label under this label.\nLabel Creation:\n\nEnsure new labels align with the structure of existing ones, including capitalization, delimiters, and prefixes.\nExamples:\n\nIf the email subject is \"Project Alpha Update,\" assign to [Project Alpha] if it exists.\nFor \"New Vendor Inquiry,\" create \"Vendor Inquiry\" if no relevant label exists.\nOutcome:\nEmails are consistently categorized under the appropriate or newly created labels, maintaining Gmail's organizational structure.", "onError": "continueErrorOutput", "position": [-60, -260], "parameters": {"text": "=Label the email based on the details below:\n{{ JSON.stringify($json) }}", "options": {"maxIterations": 5, "systemMessage": "Objective:\nAutomatically categorize incoming emails based on existing Gmail labels or create a new label if none match.\n\nTools:\n- Get message\n- Read all labels\n- Create label\n- Assign label to message\n\nInstructions:\n\nLabel Matching:\n\nAnalyze the email's subject, sender, recipient, keywords, and content.\nCompare with existing Gmail labels to find the most relevant match.\nLabel Assignment:\n\nAssign the email to the most appropriate existing label.`\nRemove the inbox label if the email is of less importance (like ads, promotions, aka \"Reclame\"), keep normal and important emails in the inbox.\nIf no suitable label exists, create a new label based on the existing labels. Try reusing existing labels as much as possible. Always create a label as a sublabel, if no label applies, if the main label already exists, create the new label under the existing label, if no main label exists, create the label AI and create the new label under this label.\nLabel Creation:\n\nEnsure new labels align with the structure of existing ones, including capitalization, delimiters, and prefixes.\nExamples:\n\nIf the email subject is \"Project Alpha Update,\" assign to [Project Alpha] if it exists.\nFor \"New Vendor Inquiry,\" create \"Vendor Inquiry\" if no relevant label exists.\nOutcome:\nEmails are consistently categorized under the appropriate or newly created labels, maintaining Gmail's organizational structure."}, "promptType": "define"}, "notesInFlow": true, "retryOnFail": false, "typeVersion": 1.7}, {"id": "6b514df4-761c-4072-abf8-d572ee4b8030", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [-60, -40], "parameters": {"sessionKey": "={{ $json.id }}", "sessionIdType": "customKey"}, "typeVersion": 1.3}, {"id": "f06717ed-00d7-4a99-a78c-53217a0067e7", "name": "Wait", "type": "n8n-nodes-base.wait", "position": [-220, -260], "webhookId": "2066b863-4526-40cf-90aa-82229895a73c", "parameters": {"amount": 1}, "typeVersion": 1.1}, {"id": "f6084fc3-2b6b-488f-b212-f179435e1a63", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-640, -300], "parameters": {"content": "## Gmail trigger\nPoll Gmail every x minutes, trigger when a new email is received.\n\n- Gmail API"}, "typeVersion": 1}, {"id": "5ede55a4-52ae-48c0-969e-afa45d19f2f0", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [380, -960], "parameters": {"width": 780, "height": 840, "content": "## Gmail labelling agent\n- Read the message\n- Read existing labels\n- Create a new label if needed\n- Assign label to message\n\n----\n\nObjective:\nAutomatically categorize incoming emails based on existing Gmail labels or create a new label if none match.\n\nTools:\n- Get message\n- Read all labels\n- Create label\n- Assign label to message\n\nInstructions:\n\nLabel Matching:\n\nAnalyze the email's subject, sender, recipient, keywords, and content.\nCompare with existing Gmail labels to find the most relevant match.\nLabel Assignment:\n\nAssign the email to the most appropriate existing label.`\nRemove the inbox label if the email is of less importance (like ads, promotions, aka \"Reclame\"), keep normal and important emails in the inbox.\nIf no suitable label exists, create a new label based on the existing labels. Try reusing existing labels as much as possible. Always create a label as a sublabel, if no label applies, if the main label already exists, create the new label under the existing label, if no main label exists, create the label AI and create the new label under this label.\nLabel Creation:\n\nEnsure new labels align with the structure of existing ones, including capitalization, delimiters, and prefixes.\nExamples:\n\nIf the email subject is \"Project Alpha Update,\" assign to [Project Alpha] if it exists.\nFor \"New Vendor Inquiry,\" create \"Vendor Inquiry\" if no relevant label exists.\nOutcome:\nEmails are consistently categorized under the appropriate or newly created labels, maintaining Gmail's organizational structure."}, "typeVersion": 1}, {"id": "7c8bb6de-b729-4c8e-90c2-641d173ed3dd", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [160, 160], "parameters": {"width": 440, "content": "## Gmail API\n- Add credentials "}, "typeVersion": 1}, {"id": "e9d05013-9546-426f-bdc7-45199dbfc72a", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [-580, 80], "parameters": {"width": 440, "content": "## OpenAI\n- Add credentials "}, "typeVersion": 1}], "pinData": {}, "connections": {"Wait": {"main": [[{"node": "Gmail labelling agent", "type": "main", "index": 0}]]}, "Gmail Trigger": {"main": [[{"node": "Wait", "type": "main", "index": 0}]]}, "OpenAI Chat Model1": {"ai_languageModel": [[{"node": "Gmail labelling agent", "type": "ai_languageModel", "index": 0}]]}, "Gmail - get message": {"ai_tool": [[{"node": "Gmail labelling agent", "type": "ai_tool", "index": 0}]]}, "Gmail - read labels": {"ai_tool": [[{"node": "Gmail labelling agent", "type": "ai_tool", "index": 0}]]}, "Gmail - create label": {"ai_tool": [[{"node": "Gmail labelling agent", "type": "ai_tool", "index": 0}]]}, "Window Buffer Memory": {"ai_memory": [[{"node": "Gmail labelling agent", "type": "ai_memory", "index": 0}]]}, "Gmail - add label to message": {"ai_tool": [[{"node": "Gmail labelling agent", "type": "ai_tool", "index": 0}]]}}}

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

Don't have an n8n instance? Start your free trial at n8nautomation.cloud

Related Templates

Summarize emails with A.I. then send to messenger

Automatically summarize incoming emails using artificial intelligence and then instantly share those summaries to your preferred messenger application with this efficient n8n workflow. This automation connects your IMAP email account to an AI summarization service via an HTTP Request, extracting key information from your messages. The summarized content is then sent to a messenger platform, also through an HTTP Request, ensuring important updates reach your team or personal devices without delay. Businesses can leverage this to quickly disseminate critical client communications, project updates, or urgent alerts from various email accounts directly to team chat channels, saving valuable time spent sifting through lengthy emails. This workflow significantly reduces manual effort in information processing and dissemination, allowing for faster decision-making and improved communication efficiency across your organization.

7 nodes

Send specific PDF attachments from Gmail to Google Drive using OpenAI

Automatically extract and categorize specific PDF attachments from incoming Gmail emails and upload them to designated Google Drive folders based on their content, leveraging OpenAI's advanced text analysis capabilities. This marketing workflow begins with the Gmail trigger "On email received," which then checks if the email "Has attachments?" If attachments are present, the workflow iterates through them, identifying if each is a PDF. For each identified PDF, the "Read PDF" node extracts its textual content. This content is then evaluated by the "Is text within token limit?" node to ensure it's suitable for OpenAI processing. If within limits, the "OpenAI matches PDF textual content" node analyzes the text against predefined criteria. Based on whether the PDF is "matched" by OpenAI, the "Upload file to folder" node in Google Drive stores the relevant PDFs, while unmatched or non-PDF attachments are handled accordingly. This workflow is ideal for marketing teams needing to automatically sort client contracts, campaign reports, or specific vendor invoices received via email, ensuring critical documents are filed correctly without manual intervention. It significantly reduces the time spent on document organization and improves data accessibility, allowing teams to focus on strategic marketing initiatives rather than administrative tasks.

18 nodes

Effortless Email Management with AI

Automate your email management by intelligently processing incoming messages, summarizing their content, and drafting personalized replies with AI. This powerful workflow connects your Gmail inbox via an IMAP trigger to a Text Classifier that categorizes emails, then uses OpenAI for summarization and drafting responses, and Qdrant for vector storage of relevant documents from Google Drive. It’s ideal for marketing teams, customer support, or busy professionals who need to efficiently handle high volumes of correspondence, saving significant time on reading, understanding, and responding to emails by leveraging AI to streamline communication and ensure timely, relevant replies. The system also allows for reviewing AI-generated drafts before sending, ensuring quality control while drastically reducing manual effort.

31 nodes

Ready to automate with n8n?

Get affordable managed n8n hosting with 24/7 support.