自动化Hugging Face论文摘要获取与分类工作流
中级
这是一个Engineering, Product, AI领域的自动化工作流，包含 12 个节点。主要使用 If, Html, Slack, Notion, SplitOut 等节点，结合人工智能技术实现智能自动化。 自动化Hugging Face论文摘要获取与分类工作流
前置要求
- •Slack Bot Token 或 Webhook URL
- •Notion API Key
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "FU3MrLkaTHmfdG4n",
"meta": {
"instanceId": "3294023dd650d95df294922b9d55d174ef26f4a2e6cce97c8a4ab5f98f5b8c7b",
"templateCredsSetupCompleted": true
},
"name": "自动化 Hugging Face 论文摘要获取与分类工作流",
"tags": [],
"nodes": [
{
"id": "32d5bfee-97f1-4e92-b62e-d09bdd9c3821",
"name": "计划触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2640,
-300
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "b1f4078e-ac77-47ec-995c-f52fd98fafef",
"name": "如果",
"type": "n8n-nodes-base.if",
"position": [
-1360,
-280
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "afac08e1-b629-4467-86ef-907e4a5e8841",
"name": "遍历项目",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-1760,
-300
],
"parameters": {},
"typeVersion": 3
},
{
"id": "807ba450-9c89-4f88-aa84-91f43e3adfc6",
"name": "分离",
"type": "n8n-nodes-base.splitOut",
"position": [
-1960,
-300
],
"parameters": {},
"typeVersion": 1
},
{
"id": "08dd3f15-2030-48f2-ab0f-f85f797268e1",
"name": "请求 Hugging Face 论文",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2440,
-300
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "f37ba769-d881-4aad-927d-ca1f4a68b9a1",
"name": "提取 Hugging Face 论文",
"type": "n8n-nodes-base.html",
"position": [
-2200,
-300
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "94ba99bf-a33b-4311-a4e6-86490e1bb9ad",
"name": "检查论文 URL 是否存在",
"type": "n8n-nodes-base.notion",
"position": [
-1540,
-280
],
"parameters": {},
"typeVersion": 2.2,
"alwaysOutputData": true
},
{
"id": "ece8dee2-e444-4557-aad9-5bdcb5ecd756",
"name": "请求 Hugging Face 论文详情",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1120,
-300
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "9ad75673-4731-421e-969a-cb06f5369b0d",
"name": "提取 Hugging Face 论文摘要",
"type": "n8n-nodes-base.html",
"position": [
-900,
-300
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "53b266fe-e7c4-4820-92eb-78a6ba7a6430",
"name": "OpenAI 分析摘要",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-680,
-300
],
"parameters": {},
"typeVersion": 1.8
},
{
"id": "f491cd7f-598e-46fd-b80c-04cfa9766dfd",
"name": "存储摘要到 Notion",
"type": "n8n-nodes-base.notion",
"position": [
-320,
-320
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "5282406e-3c5e-4b9b-85f3-a323942461e4",
"name": "发送分析结果到 Slack",
"type": "n8n-nodes-base.slack",
"position": [
-320,
-100
],
"webhookId": "2d3704c1-25b0-4a42-81da-11b1165bb77b",
"parameters": {},
"typeVersion": 2.3
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "fdc50c9e-c371-4d7c-bbae-36a1d6cbd2a1",
"connections": {
"If": {
"main": [
[
{
"node": "Request Hugging Face Paper Detail",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Check Paper URL Existed",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Request Hugging Face Paper",
"type": "main",
"index": 0
}
]
]
},
"Store Abstract Notion": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Check Paper URL Existed": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Analysis Abstract": {
"main": [
[
{
"node": "Send Analysis Result Slack",
"type": "main",
"index": 0
},
{
"node": "Store Abstract Notion",
"type": "main",
"index": 0
}
]
]
},
"Extract Hugging Face Paper": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Request Hugging Face Paper": {
"main": [
[
{
"node": "Extract Hugging Face Paper",
"type": "main",
"index": 0
}
]
]
},
"Send Analysis Result Slack": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Request Hugging Face Paper Detail": {
"main": [
[
{
"node": "Extract Hugging Face Paper Abstract",
"type": "main",
"index": 0
}
]
]
},
"Extract Hugging Face Paper Abstract": {
"main": [
[
{
"node": "OpenAI Analysis Abstract",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
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, 产品, 人工智能
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。
相关工作流推荐
实时Notion Todoist双向同步模板
使用Redis的Notion Todoist实时双向同步
If
Set
Code
+26
246 节点Mario
销售
Hugging Face到Notion
使用AI分析Hugging Face论文并存储到Notion
If
Html
Notion
+5
11 节点AI Native
人工智能
使用 OpenAI、Google Sheets、Jina AI 和 Slack 的 AI 驱动信息监控
基于AI的信息监控，集成OpenAI、Google Sheets、Jina AI和Slack
If
Set
Code
+10
31 节点Dataki
销售
API架构提取器
API架构提取器
If
Set
Code
+22
88 节点Polina Medvedieva
工程
使用Apollo和人工验证发现并丰富决策者信息
使用Apollo和人工验证发现并丰富决策者信息
If
Code
Merge
+10
35 节点Uche Madu
销售
HDW潜在客户越野车
使用AI代理的自动化LinkedIn潜在客户生成、评分与沟通
If
Code
Sort
+17
86 节点Andrey
销售
