Automatischer E-Mail-Labeler
Experte
Dies ist ein AI Summarization, Multimodal AI-Bereich Automatisierungsworkflow mit 27 Nodes. Hauptsächlich werden Set, Code, Gmail, Merge, Filter und andere Nodes verwendet. KI-gesteuerte intelligente Gmail-Label-Verwaltung mit Discord-Benachrichtigungen
Voraussetzungen
- •Google-Konto + Gmail API-Anmeldedaten
- •Discord Bot Token oder Webhook
- •OpenAI API Key
Verwendete Nodes (27)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"id": "p88sqsRiRSpYb4Da",
"meta": {
"instanceId": "c341ffddc74ebf27df927741c2e7cfe51645fd6ab7947c701ecbb8accd585228",
"templateCredsSetupCompleted": true
},
"name": "Auto email labeler",
"tags": [
{
"id": "KXa95L999LpnSKKK",
"name": "Gmail",
"createdAt": "2025-08-30T14:29:58.156Z",
"updatedAt": "2025-08-30T14:29:58.156Z"
}
],
"nodes": [
{
"id": "9bf78ec9-a9a9-4db5-8cb0-4eb6cb6cf3b5",
"name": "Basic LLM Chain",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
608,
32
],
"parameters": {
"text": "=Provide a summary of the email in JSON format. You will provide a (1) Id, (2) summary, (3) extract the relevant entity such as person, organization, (4) provide a list of up to 5 labels from the list provided in the \"Labels List\" below to categorize the email. Or if none are appropriate, please come up with new labels (up to 5).\n\nHere is the email content:\nFrom: {{ $json.From }}\nSubject: {{ $json.Subject }}\nContent: {{ $json.snippet }}\nLabel List: {{ $json.existing_labels.map(label => label.name) }}\n\nHere is an example output:\n{\n \"summary\": \"This is an email advertising a new designer collection of goods from Haider Ackermann on Mr. Porter. It is Haider Ackermann's debut collection.\",\n \"people\": \"Mr. Porter\",\n \"labels\":\n [\n \"Advertisement\",\n \"Designer Label\",\n \"Clothes\",\n \"Online Shopping\"\n ]\n}\n\nYour Output:\n",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.7,
"waitBetweenTries": 100
},
{
"id": "0216c4d9-041b-41d0-ae1d-6965399bfc61",
"name": "Gmail Trigger",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-432,
304
],
"parameters": {
"filters": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "CKyTztL6Pu4sMVhC",
"name": "Gmail account"
}
},
"typeVersion": 1.3
},
{
"id": "d8d3a318-0477-4e5d-8e1d-2d7ab073f217",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
736,
320
],
"parameters": {
"autoFix": true,
"jsonSchemaExample": "{\n \"messageId\": \"\",\n \"summary\": \"This email higlights the convenience of using an Alexa-enabled smart thermostat for temperature control and mentions Alexa's ability to assist with shopping lists, specifically laundry detergent. It also references a 'Weekly Spotlight' feature related to product sorting.\",\n \"people\": \"Alexa\",\n \"labels\":\n [\n \"Smart Home\",\n \"Voice Assistant\",\n \"Thermostat\",\n \"Shopping\",\n \"Productivity\"\n ]\n}"
},
"typeVersion": 1.3
},
{
"id": "99594eaa-8459-4cb9-905e-399549cb8b72",
"name": "Label erstellen",
"type": "n8n-nodes-base.gmail",
"onError": "continueRegularOutput",
"position": [
1472,
400
],
"webhookId": "365633e2-f709-4412-9176-bf921b3f717d",
"parameters": {
"name": "={{ $json[\"output.labels\"] }}",
"options": {},
"resource": "label",
"operation": "create"
},
"credentials": {
"gmailOAuth2": {
"id": "CKyTztL6Pu4sMVhC",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "c2beef7d-1352-40ac-868c-be730a463d69",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
1216,
320
],
"parameters": {
"jsCode": "var item = $input.first();\nvar new_labels = new Set(item.json.output.labels) // new labels defined by LLM\nvar old_labels = new Set(item.json.existing_labels.map(label => label.name)) // message labels\nvar label_array = item.json.existing_labels // users label dictionary\nvar labels_to_create = new Set();\nvar existing_labels = new Set();\n\n// identify new labels to create\nnew_labels.forEach(label => {\n if (old_labels.has(label)) {\n console.log(\"dupe found: \" + label)\n existing_labels.add(label)\n } else {\n console.log(\"unique found: \" + label)\n labels_to_create.add(label)\n }\n});\n\n// each new label to create ends up in output.labels array\nitem.json.output.labels = []\nlabels_to_create.forEach(label => item.json.output.labels.push(label))\n\n// existing labels end up in output.old_labels array\n// for each old label, look up the label id\nitem.json.output.old_labels = []\nexisting_labels.forEach(label => {\n var label_obj = label_array.find(l => l.name == label)\n if (label_obj) {\n console.log(\"replacing \" + label + \" with id \" + label_obj.id)\n item.json.output.old_labels.push(label_obj.id)\n item.json.output.added_label_names.push(label_obj.name)\n }\n})\n\nitem.json.output.messageId = item.json.id;\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "c8153181-5a9a-4ec7-a61b-f559d34e0d3f",
"name": "Merge2",
"type": "n8n-nodes-base.merge",
"position": [
1040,
48
],
"parameters": {
"mode": "combineBySql",
"query": "SELECT * FROM input1 LEFT JOIN input2",
"options": {}
},
"typeVersion": 3.2
},
{
"id": "3ab1de7a-2dc1-4199-98f5-1e0e0cd8fcc3",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1344,
400
],
"parameters": {
"options": {},
"fieldToSplitOut": "output.labels"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "758ce7fa-b66a-4018-b576-e754cff5e5f9",
"name": "Merge3",
"type": "n8n-nodes-base.merge",
"position": [
1888,
128
],
"parameters": {
"mode": "combineBySql",
"query": "SELECT * FROM input1 LEFT JOIN input2",
"options": {}
},
"typeVersion": 3.2
},
{
"id": "7be3f984-3cf7-4868-8148-8e3a012028e3",
"name": "Label zu Nachricht hinzufügen",
"type": "n8n-nodes-base.gmail",
"position": [
2208,
16
],
"webhookId": "8a2d4934-7637-40d0-84a3-987d7fe688e3",
"parameters": {
"labelIds": "={{ $json.labels_to_add }}",
"messageId": "={{ $json.output.messageId }}",
"operation": "addLabels"
},
"credentials": {
"gmailOAuth2": {
"id": "CKyTztL6Pu4sMVhC",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "97c77c1d-0857-46cf-ba2a-4e38b0b48e4f",
"name": "Nachricht senden",
"type": "n8n-nodes-base.discord",
"position": [
2848,
304
],
"webhookId": "88a8856f-4974-45a6-b941-e5ddb5da4302",
"parameters": {
"content": "={{ $json.text.split(\"MESSAGE STARTS HERE\").last() }}",
"guildId": {
"__rl": true,
"mode": "list",
"value": "1411315313664069778",
"cachedResultUrl": "https://discord.com/channels/1411315313664069778",
"cachedResultName": "terribletap's server"
},
"options": {},
"resource": "message",
"channelId": {
"__rl": true,
"mode": "list",
"value": "1411315314624430103",
"cachedResultUrl": "https://discord.com/channels/1411315313664069778/1411315314624430103",
"cachedResultName": "general"
}
},
"credentials": {
"discordBotApi": {
"id": "EllllgZJlaKOTtPf",
"name": "Discord Bot account"
}
},
"typeVersion": 2
},
{
"id": "4e637594-2570-471e-89a3-129c990c70f7",
"name": "Mehrere Labels abrufen",
"type": "n8n-nodes-base.gmail",
"position": [
-80,
400
],
"webhookId": "59d1eb15-6c4c-4963-9eee-5bca6e0a3364",
"parameters": {
"resource": "label",
"returnAll": true
},
"credentials": {
"gmailOAuth2": {
"id": "CKyTztL6Pu4sMVhC",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "0652a435-b021-46bb-911e-8d66ad4ab262",
"name": "Filter",
"type": "n8n-nodes-base.filter",
"position": [
80,
400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "652bbdfc-8258-4acf-b8cc-38f88a69d87c",
"operator": {
"type": "string",
"operation": "startsWith"
},
"leftValue": "={{ $json.id }}",
"rightValue": "Label"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "fb63935c-5a27-4e9e-96b8-5d73301890bf",
"name": "Aggregate1",
"type": "n8n-nodes-base.aggregate",
"position": [
224,
400
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "existing_labels"
},
"typeVersion": 1
},
{
"id": "1173c4fc-0037-4c9f-81cc-0e52cd4caa2a",
"name": "Aggregate2",
"type": "n8n-nodes-base.aggregate",
"position": [
1600,
400
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "created_labels"
},
"typeVersion": 1
},
{
"id": "19f5848c-d7e6-45c1-8ed9-c5a6aa6c9f5e",
"name": "Edit Fields3",
"type": "n8n-nodes-base.set",
"position": [
2064,
16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "30b6e814-f461-4957-bee3-433acf9df86e",
"name": "output.messageId",
"type": "string",
"value": "={{ $json.output.messageId }}"
},
{
"id": "cc6b96ee-7eed-463f-b324-511395366671",
"name": "labels_to_add",
"type": "array",
"value": "={{ $json.output.old_labels.concat($json.created_labels.map(item => item.id))}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a537fe85-ff6b-44f6-8676-ec118a451f57",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-288,
304
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "23a89c87-5b44-4a1d-8750-2b817984e33a",
"name": "OpenAI Chat 10001",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
608,
736
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "/home/rocketegg/.cache/huggingface/hub/models--unsloth--gpt-oss-20b-GGUF/snapshots/c6cedd4259adbfe7e4d4d983a0400bf4cc38e7db/gpt-oss-20b-F16.gguf",
"cachedResultName": "/home/rocketegg/.cache/huggingface/hub/models--unsloth--gpt-oss-20b-GGUF/snapshots/c6cedd4259adbfe7e4d4d983a0400bf4cc38e7db/gpt-oss-20b-F16.gguf"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "LKEGGdxiA0Bf5HVT",
"name": "OpenAi localhost 10001"
}
},
"typeVersion": 1.2
},
{
"id": "3a3c249c-b2a5-4b26-8565-345a78bbe347",
"name": "OpenAI Chat 10000",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-688,
-688
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "/home/rocketegg/.cache/huggingface/hub/models--unsloth--GLM-4.5-Air-GGUF/snapshots/a5133889a6e29d42a1e71784b2ae8514fb28156f/Q4_K_S/GLM-4.5-Air-Q4_K_S-00001-of-00002.gguf",
"cachedResultName": "/home/rocketegg/.cache/huggingface/hub/models--unsloth--GLM-4.5-Air-GGUF/snapshots/a5133889a6e29d42a1e71784b2ae8514fb28156f/Q4_K_S/GLM-4.5-Air-Q4_K_S-00001-of-00002.gguf"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "hXmYMFnRaBrbl3No",
"name": "OpenAi localhost 10000"
}
},
"typeVersion": 1.2
},
{
"id": "7514e196-94bf-462e-95c4-8698978e8b9e",
"name": "Basic LLM Chain1",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2592,
304
],
"parameters": {
"text": "=INSTRUCTIONS: Rewrite the message below with fun emojis per the instructions below. PREPEND the message with \"MESSAGE STARTS HERE\".\n\nI'm sending a fun discord message so I need the following summary in markdown with emojis appropriate for the content (e.g. financial emails with financial emojis, advertisements with advertisement emojis, and depending on what they are selling, the appropriate emoji, etc).\n\n---\nCONTENT OF THE MESSAGE:\n\nHello! I finished labeling an email.\n\n**From:** {{ $json.From }}\n**Subject:** {{ $json.Subject }}\n**Summary:** {{ $json.output.summary }}\n**Entity:** {{ $json.output.people }}\n**Date:** {{ new Date(parseInt($json.internalDate)) }}\n**Id:** {{ $json.id }}\n\n**Labels Added:**\n{{ $json.created_labels.map(l => `- ${l.name}`).join('\\n> ') }}\n\n**Appended Labels:**\n{{ $json.output.added_label_names.map(name => `- ${name}`).join('\\n> ') }}\n\n--- OUTPUT:\nMESSAGE STARTS HERE:\n\n",
"batching": {},
"promptType": "define"
},
"retryOnFail": true,
"typeVersion": 1.7
},
{
"id": "dd821c19-35ed-4295-89d5-d3202ea7258a",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
2464,
304
],
"parameters": {
"mode": "combineBySql",
"query": "SELECT * FROM input1 LEFT JOIN input2 ",
"options": {}
},
"typeVersion": 3.2
},
{
"id": "e05d0e9c-161e-4082-a09b-cada4ffcca4c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1808,
-48
],
"parameters": {
"width": 608,
"height": 288,
"content": "### Label the message with new and existing labels\n"
},
"typeVersion": 1
},
{
"id": "4091dfff-76e6-44a9-bdf4-f333d1b721e6",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2432,
240
],
"parameters": {
"color": 4,
"width": 608,
"height": 288,
"content": "### Rewrite and send message notification to discord\n"
},
"typeVersion": 1
},
{
"id": "25e5a3f4-b5bc-465a-9701-4fc4ee59c02d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1184,
240
],
"parameters": {
"color": 5,
"width": 608,
"height": 288,
"content": "### Create additional gmail labels if needed."
},
"typeVersion": 1
},
{
"id": "f7cb8412-72b5-4e34-8118-8c7b6a99d64a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-128,
240
],
"parameters": {
"color": 3,
"width": 608,
"height": 288,
"content": "### Find existing Gmail labels as options for LLM to choose from."
},
"typeVersion": 1
},
{
"id": "48d5b5a3-19b9-4b6f-8072-5cd4c51e9441",
"name": "Labels in Liste zusammenführen (für LLM-Auswahl)",
"type": "n8n-nodes-base.merge",
"position": [
368,
288
],
"parameters": {
"mode": "combineBySql",
"query": "SELECT * FROM input1 LEFT JOIN input2 ",
"options": {}
},
"typeVersion": 3.2
},
{
"id": "20de5d24-adc4-464c-94c5-8da4729e3682",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
544,
-48
],
"parameters": {
"color": 6,
"width": 608,
"height": 288,
"content": "### LLM chooses labels or defines new ones\n"
},
"typeVersion": 1
},
{
"id": "4c12d9c2-2f47-4c1b-92b1-7164c038efe8",
"name": "Alte Labels hinzufügen []",
"type": "n8n-nodes-base.set",
"position": [
896,
32
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b4b52de9-a671-4d06-baaa-241f3ec4dea8",
"name": "output",
"type": "object",
"value": "={{ $json.output }}"
},
{
"id": "a27b466e-acad-4e8a-b69f-846d3220595f",
"name": "output.old_labels",
"type": "array",
"value": "[]"
},
{
"id": "25481eb7-7e0e-400b-b80a-f0b460e85c42",
"name": "output.added_label_names",
"type": "array",
"value": "[]"
}
]
},
"duplicateItem": true
},
"typeVersion": 3.4
}
],
"active": true,
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveExecutionProgress": true
},
"versionId": "df9e9f97-93f7-4e3e-9092-e85ffda7dcd6",
"connections": {
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}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - KI-Zusammenfassung, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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