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Analyse papers from Hugging Face with AI and store them in Notion

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Analyse papers from Hugging Face with AI and store them in Notion preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works: Scheduled Trigge...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.if, n8n-nodes-base.splitinbatches, n8n-nodes-base.splitout, n8n-nodes-base.httprequest, n8n-nodes-base.html, n8n-nodes-base.notion, @n8n/n8n-nodes-langchain.openai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by AI Native.

Original n8n.io source

1.1 Workflow description

Title
Analyse papers from Hugging Face with AI and store them in Notion
Workflow name
Analyse papers from Hugging Face with AI and store them in Notion

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works:

⏰ Scheduled Trigger:

The flow is set to run automatically at 8 AM on weekdays.

📄 Fetching Paper Data:

It fetches Hugging Face paper summaries using their API.

🔍 Data Check:

Before processing, the workflow checks if the paper already exists in Notion to avoid duplicates.

🤖 Content Analysis with OpenAI:

If the paper is new, it extracts the summary and uses OpenAI to analyze the content.

📥 Store Results in Notion:

After analysis, the summarized data is saved in Notion for easy reference.


⚙️ Set Up Steps for Automation

Follow these steps to set up this automated workflow with Hugging Face, OpenAI, and Notion integration:

🔑 Obtain API Tokens:

You’ll need the Notion and OpenAI API tokens to authenticate and connect these services with n8n.

🔗 Integration in n8n:

Link Hugging Face, OpenAI, and Notion by configuring the appropriate nodes in n8n.

🔧 Configure Workflow Logic:

  • Set up a cron trigger for automatic execution at 8 AM on weekdays.
  • Use an HTTP request node to fetch Hugging Face paper data.
  • Add logic to check if the data already exists in Notion.
  • Set up the OpenAI integration to analyze the paper’s summary.
  • Store the results in Notion for easy access and reference.

Result:

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 3 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 4 - Split Out

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 5 - Request Hugging Face Paper

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 6 - Extract Hugging Face Paper

Type / Role
n8n-nodes-base.html - html
Config choices
Version 1.2

Block 7 - Check Paper URL Existed

Type / Role
n8n-nodes-base.notion - notion
Config choices
Version 2.2

Block 8 - Request Hugging Face Paper Detail

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 9 - OpenAI Analysis Abstract

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 10 - Store Abstract Notion

Type / Role
n8n-nodes-base.notion - notion
Config choices
Version 2.2

Block 11 - Extract Hugging Face Paper Abstract

Type / Role
n8n-nodes-base.html - html
Config choices
Version 1.2

3. Summary Table

Workflow Analyse papers from Hugging Face with AI and store them in Notion
Complexity intermediate
Nodes 11
Categories Document Extraction, AI Summarization
Author AI Native
Published 26 Jan 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/2804/2804.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Analyse papers from Hugging Face with AI and store them in Notion do?

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works: Scheduled Trigge...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.