使用 Microsoft Graph API 上传文件到 SharePoint
这是一个Engineering, IT Ops领域的自动化工作流,包含 9 个节点。主要使用 Set, HttpRequest, ManualTrigger 等节点。 使用 Microsoft Graph API 上传文件到 SharePoint
- •可能需要目标 API 的认证凭证
{
"meta": {
"instanceId": "97d44c78f314fab340d7a5edaf7e2c274a7fbb8a7cd138f53cc742341e706fe7",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "1ec0e1ad-0666-417b-b5af-b381b06e126f",
"name": "当点击\"测试工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-120,
180
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c34a92d3-b4bd-4c2f-9fa0-66832729a31c",
"name": "上传照片",
"type": "n8n-nodes-base.httpRequest",
"position": [
980,
180
],
"parameters": {
"url": "=https://graph.microsoft.com/v1.0/sites/root/drive/root:{{ $json.TARGET_FOLDER }}/{{ $json.FILE_NAME }}:/content",
"method": "PUT",
"options": {},
"sendBody": true,
"contentType": "binaryData",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $json.access_token }}"
},
{
"name": "Content-Type",
"value": "application/octet-stream"
}
]
},
"inputDataFieldName": "data"
},
"typeVersion": 4.2
},
{
"id": "49ce594c-83c7-4b47-be03-6811ebdcc57b",
"name": "设置配置(敏感数据)",
"type": "n8n-nodes-base.set",
"position": [
100,
180
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "399d42f3-41e0-4043-9a57-85771bf5cd07",
"name": "TENANT_ID",
"type": "string",
"value": "00000000-0000-0000-0000-000000000000"
},
{
"id": "dd63a519-3681-46c4-b122-ab379ed11c42",
"name": "CLIENT_ID",
"type": "string",
"value": "00000000-0000-0000-0000-000000000000"
},
{
"id": "4d50c934-c306-4198-853a-68198b8b84eb",
"name": "CLIENT_SECRET",
"type": "string",
"value": "uU~8Q~THEQLIE2TX7UsecretT2g_JCADyxBxN0bx3"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "53b78aa9-d86f-461b-bff5-bd2a63a693b5",
"name": "获取照片(用于测试目的)",
"type": "n8n-nodes-base.httpRequest",
"position": [
540,
180
],
"parameters": {
"url": "https://fastly.picsum.photos/id/459/200/300.jpg?hmac=4Cn5sZqOdpuzOwSTs65XA75xvN-quC4t9rfYYyoTCEI",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "a551951c-f192-4b15-accb-ca936baef9a8",
"name": "设置目标位置",
"type": "n8n-nodes-base.set",
"position": [
760,
180
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9f66b3f9-c161-45f4-bdc0-8cf736b53eda",
"name": "TARGET_FOLDER",
"type": "string",
"value": "/uploads/pictures from n8n"
},
{
"id": "e8584729-2746-48a0-ad80-d0308a49e195",
"name": "FILE_NAME",
"type": "string",
"value": "example.jpg"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "66129973-bf5f-4799-b676-2ee40fd2b519",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-220
],
"parameters": {
"width": 320,
"height": 200,
"content": "## 先决条件"
},
"typeVersion": 1
},
{
"id": "43bbf2cd-3ac5-4c46-b3c0-bd6158dbe25e",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
-280
],
"parameters": {
"width": 320,
"height": 340,
"content": "## 身份验证"
},
"typeVersion": 1
},
{
"id": "daa3e6b9-a9ea-4bb4-8e2d-faa516c699ea",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-280
],
"parameters": {
"width": 440,
"height": 340,
"content": "## 设置目标位置"
},
"typeVersion": 1
},
{
"id": "52bd314b-6a5e-499a-904e-a7e9becbbd59",
"name": "身份验证",
"type": "n8n-nodes-base.httpRequest",
"notes": "Get an access token for graph API",
"position": [
320,
180
],
"parameters": {
"url": "=https://login.microsoftonline.com/{{ $json.TENANT_ID }}/oauth2/token",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "form-urlencoded",
"bodyParameters": {
"parameters": [
{
"name": "grant_type",
"value": "client_credentials"
},
{
"name": "client_id",
"value": "={{ $json.CLIENT_ID }}"
},
{
"name": "client_secret",
"value": "={{ $json.CLIENT_SECRET }}"
},
{
"name": "resource",
"value": "https://graph.microsoft.com"
}
]
}
},
"notesInFlow": true,
"typeVersion": 4.2
}
],
"pinData": {},
"connections": {
"Authentication": {
"main": [
[
{
"node": "Get photo (for testing purposes)",
"type": "main",
"index": 0
}
]
]
},
"Set destination": {
"main": [
[
{
"node": "Upload photo",
"type": "main",
"index": 0
}
]
]
},
"Set config (sensitive data)": {
"main": [
[
{
"node": "Authentication",
"type": "main",
"index": 0
}
]
]
},
"Get photo (for testing purposes)": {
"main": [
[
{
"node": "Set destination",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Set config (sensitive data)",
"type": "main",
"index": 0
}
]
]
}
}
}如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
中级 - 工程, IT 运维
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
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Greg Evseev
@greg15+ years in AI/ML development & integration. Now specializing in establishing ISO 42001-compliant AI management systems. Background includes AI/ML research, system development, AI governance, and ISO 42001 Lead Auditor training (in progress). Helping organizations: ✓ Evaluate AI maturity & governance ✓ Implement ISO 42001 systems ✓ Bridge technical & regulatory requirements ✓ Design practical AI governance frameworks Expertise: AI Risk Assessment, Compliance Strategy, Technical Due Diligence.
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