About this recipe
A recipe for Analyse Papers From Hugging Face With Ai And Store Them In Notion
Recipe Template
{
"id": "FU3MrLkaTHmfdG4n",
"meta": {
"instanceId": "3294023dd650d95df294922b9d55d174ef26f4a2e6cce97c8a4ab5f98f5b8c7b",
"templateCredsSetupCompleted": true
},
"name": "Hugging Face to Notion",
"tags": [],
"nodes": [
{
"id": "32d5bfee-97f1-4e92-b62e-d09bdd9c3821",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2640,
-300
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
1,
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"triggerAtHour": 8
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"parameters": {
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"conditions": {
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"leftValue": "",
"caseSensitive": true,
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"combinator": "and",
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"operator": {
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"leftValue": "={{ $json }}",
"rightValue": ""
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{
"id": "807ba450-9c89-4f88-aa84-91f43e3adfc6",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
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],
"parameters": {
"options": [],
"fieldToSplitOut": "url, url"
},
"typeVersion": 1
},
{
"id": "08dd3f15-2030-48f2-ab0f-f85f797268e1",
"name": "Request Hugging Face Paper",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2440,
-300
],
"parameters": {
"url": "https:\/\/huggingface.co\/papers",
"options": [],
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "date",
"value": "={{ $now.minus(1,'days').format('yyyy-MM-dd') }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f37ba769-d881-4aad-927d-ca1f4a68b9a1",
"name": "Extract Hugging Face Paper",
"type": "n8n-nodes-base.html",
"position": [
-2200,
-300
],
"parameters": {
"options": [],
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "url",
"attribute": "href",
"cssSelector": ".line-clamp-3",
"returnArray": true,
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "94ba99bf-a33b-4311-a4e6-86490e1bb9ad",
"name": "Check Paper URL Existed",
"type": "n8n-nodes-base.notion",
"position": [
-1540,
-280
],
"parameters": {
"filters": {
"conditions": [
{
"key": "URL|url",
"urlValue": "={{ 'https:\/\/huggingface.co'+$json.url }}",
"condition": "equals"
}
]
},
"options": [],
"resource": "databasePage",
"operation": "getAll",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "17b67aba-1fcc-80ae-baa1-d88ffda7ae83",
"cachedResultUrl": "https:\/\/www.notion.so\/17b67aba1fcc80aebaa1d88ffda7ae83",
"cachedResultName": "huggingface-abstract"
},
"filterType": "manual"
},
"credentials": {
"notionApi": {
"id": "I5KdUzwhWnphQ862",
"name": "notion"
}
},
"typeVersion": 2.2,
"alwaysOutputData": true
},
{
"id": "ece8dee2-e444-4557-aad9-5bdcb5ecd756",
"name": "Request Hugging Face Paper Detail",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1080,
-300
],
"parameters": {
"url": "={{ 'https:\/\/huggingface.co'+$('Split Out').item.json.url }}",
"options": []
},
"typeVersion": 4.2
},
{
"id": "53b266fe-e7c4-4820-92eb-78a6ba7a6430",
"name": "OpenAI Analysis Abstract",
"type": "@n8n\/n8n-nodes-langchain.openAi",
"position": [
-640,
-300
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-2024-11-20",
"cachedResultName": "GPT-4O-2024-11-20"
},
"options": [],
"messages": {
"values": [
{
"role": "system",
"content": "Extract the following key details from the paper abstract:\n\nCore Introduction: Summarize the main contributions and objectives of the paper, highlighting its innovations and significance.\nKeyword Extraction: List 2-5 keywords that best represent the research direction and techniques of the paper.\nKey Data and Results: Extract important performance metrics, comparison results, and the paper's advantages over other studies.\nTechnical Details: Provide a brief overview of the methods, optimization techniques, and datasets mentioned in the paper.\nClassification: Assign an appropriate academic classification based on the content of the paper.\n\n\nOutput as json\uff1a\n{\n \"Core_Introduction\": \"PaSa is an advanced Paper Search agent powered by large language models that can autonomously perform a series of decisions (including invoking search tools, reading papers, and selecting relevant references) to provide comprehensive and accurate results for complex academic queries.\",\n \"Keywords\": [\n \"Paper Search Agent\",\n \"Large Language Models\",\n \"Reinforcement Learning\",\n \"Academic Queries\",\n \"Performance Benchmarking\"\n ],\n \"Data_and_Results\": \"PaSa outperforms existing baselines (such as Google, GPT-4, chatGPT) in tests using AutoScholarQuery (35k academic queries) and RealScholarQuery (real-world academic queries). For example, PaSa-7B exceeds Google with GPT-4o by 37.78% in recall@20 and 39.90% in recall@50.\",\n \"Technical_Details\": \"PaSa is optimized using reinforcement learning with the AutoScholarQuery synthetic dataset, demonstrating superior performance in multiple benchmarks.\",\n \"Classification\": [\n \"Artificial Intelligence (AI)\",\n \"Academic Search and Information Retrieval\",\n \"Natural Language Processing (NLP)\",\n \"Reinforcement Learning\"\n ]\n}\n```"
},
{
"content": "={{ $json.abstract }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "LmLcxHwbzZNWxqY6",
"name": "Unnamed credential"
}
},
"typeVersion": 1.8
},
{
"id": "f491cd7f-598e-46fd-b80c-04cfa9766dfd",
"name": "Store Abstract Notion",
"type": "n8n-nodes-base.notion",
"position": [
-300,
-300
],
"parameters": {
"options": [],
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "17b67aba-1fcc-80ae-baa1-d88ffda7ae83",
"cachedResultUrl": "https:\/\/www.notion.so\/17b67aba1fcc80aebaa1d88ffda7ae83",
"cachedResultName": "huggingface-abstract"
},
"propertiesUi": {
"propertyValues": [
{
"key": "URL|url",
"urlValue": "={{ 'https:\/\/huggingface.co'+$('Split Out').item.json.url }}"
},
{
"key": "title|title",
"title": "={{ $('Extract Hugging Face Paper Abstract').item.json.title }}"
},
{
"key": "abstract|rich_text",
"textContent": "={{ $('Extract Hugging Face Paper Abstract').item.json.abstract.substring(0,2000) }}"
},
{
"key": "scrap-date|date",
"date": "={{ $today.format('yyyy-MM-dd') }}",
"includeTime": false
},
{
"key": "Classification|rich_text",
"textContent": "={{ $json.message.content.Classification.join(',') }}"
},
{
"key": "Technical_Details|rich_text",
"textContent": "={{ $json.message.content.Technical_Details }}"
},
{
"key": "Data_and_Results|rich_text",
"textContent": "={{ $json.message.content.Data_and_Results }}"
},
{
"key": "keywords|rich_text",
"textContent": "={{ $json.message.content.Keywords.join(',') }}"
},
{
"key": "Core Introduction|rich_text",
"textContent": "={{ $json.message.content.Core_Introduction }}"
}
]
}
},
"credentials": {
"notionApi": {
"id": "I5KdUzwhWnphQ862",
"name": "notion"
}
},
"typeVersion": 2.2
},
{
"id": "d5816a1c-d1fa-4be2-8088-57fbf68e6b43",
"name": "Extract Hugging Face Paper Abstract",
"type": "n8n-nodes-base.html",
"position": [
-840,
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],
"parameters": {
"options": [],
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "abstract",
"cssSelector": ".text-gray-700"
},
{
"key": "title",
"cssSelector": ".text-2xl"
}
]
}
},
"typeVersion": 1.2
}
],
"active": true,
"pinData": [],
"settings": {
"executionOrder": "v1"
},
"versionId": "4b0ec2a3-253d-46d5-a4d4-1d9ff21ba4a3",
"connections": {
"If": {
"main": [
[
{
"node": "Request Hugging Face Paper Detail",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
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{
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"type": "main",
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}
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]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Check Paper URL Existed",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
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{
"node": "Request Hugging Face Paper",
"type": "main",
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}
]
]
},
"Store Abstract Notion": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
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},
"Check Paper URL Existed": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Analysis Abstract": {
"main": [
[
{
"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",
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"Extract Hugging Face Paper Abstract": {
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}
}
}How to Use an n8n Template
1
Create a New Workflow
Click "New Workflow" in your n8n dashboard to get started.
2
Copy & Paste Template
First, copy this template:
Click here to copy the JSON
.
Then, in n8n, click the three dots (···) → "Import from file" and paste the JSON code.
3
Customize the Nodes
Go through each node in the workflow to update inputs like spreadsheet IDs, email addresses, or message content. Adjust field mappings to match your data.
4
Grant Access
For nodes that connect to external apps (like Google Sheets or Slack), you'll need to grant access. Connect your accounts using OAuth or an API key and save the credentials in the node.
5
Test It
Run the workflow by clicking "Execute Node" for each step or "Run Once" for the whole thing. Check the right sidebar to inspect data and debug any errors (they'll show up in red).
6
Activate Workflow
Once everything works as expected, click the "Activate" toggle to turn your workflow on. You're all set!