Automated Hugging Face paper summary fetching & categorization workflow

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2/3/2026

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How the Automated Workflow Works

Scheduled Fetching from Hugging Face ⏰

The workflow triggers every weekday at 8 AM, automatically fetching the latest papers from Hugging Face for easy access.

Duplication Check to Avoid Redundant Entries 🔍

It ensures the paper's summary is not already stored in your Notion workspace, preventing duplicate records and keeping your database organized.

Content Analysis with OpenAI 🧠

Using OpenAI's powerful capabilities, the workflow analyzes the fetched paper summary, extracts key insights, and categorizes the content for easier understanding.

Data Storage and Notification Integration 📥🔔

Once the summary is processed, it's automatically stored in your Notion workspace, and a notification containing the paper details is sent to your designated Slack channel for quick reference.

Set Up Your Automated Workflow

Create Your n8n Account 📝

Start by registering for an n8n account and logging into the n8n cloud service.

Connect OpenAI, Notion, and Slack 🔗

Link your OpenAI, Notion, and Slack accounts by entering the appropriate tokens. This step will take approximately 10–15 minutes to complete.

Import the Workflow Template 📥

Import the provided workflow template into your n8n instance to streamline the setup process.

Activate the Workflow for Daily Summaries 🚀

After importing, simply enable the workflow, and you’re all set to receive daily paper summaries automatically.

Setup Time ⏳: Approximately 15–20 minutes.

Why Use This Automated Workflow?

This automated workflow not only saves you time by fetching and categorizing the latest research papers but also helps streamline your Notion workspace and Slack notifications, allowing you to stay organized and efficient without manual intervention.

Results Presentation

n8n Hugging Face Paper Summary Fetching & Categorization Workflow

This n8n workflow automates the process of fetching information about the latest papers from Hugging Face, summarizing them using OpenAI, and then categorizing and storing them in Notion. It also sends notifications to a Slack channel for new, uncategorized papers.

Description

This workflow streamlines the discovery and organization of new research papers published on Hugging Face. By regularly polling for new papers, generating concise summaries with AI, and intelligently categorizing them, it helps researchers and enthusiasts stay up-to-date without manual effort. Uncategorized papers are highlighted in Slack for review.

What it does

Triggers on Schedule: The workflow runs on a predefined schedule (e.g., daily, hourly) to check for new papers.
Fetches Hugging Face Papers: It makes an HTTP request to the Hugging Face API to retrieve a list of recent research papers.
Parses HTML Content: Extracts relevant data (like paper titles, links, and abstracts) from the HTML response.
Loops Over Items: Processes each fetched paper individually.
Generates AI Summary: For each paper, it uses OpenAI to generate a concise summary of the paper's abstract.
Categorizes Paper (Conditional Logic):
- If the paper contains specific keywords (e.g., "AI", "Machine Learning", "NLP"), it categorizes it accordingly.
- Else, it marks the paper as "Uncategorized".
Stores in Notion: Adds the paper's details (title, link, summary, category) to a Notion database.
Notifies on Slack (Uncategorized Papers): If a paper is marked as "Uncategorized", it sends a notification to a designated Slack channel, including the paper's title and link, for manual review and categorization.

Prerequisites/Requirements

n8n Instance: A running n8n instance (cloud or self-hosted).
Hugging Face: No specific API key is explicitly shown in the JSON, but access to Hugging Face's public paper listings is assumed.
OpenAI API Key: An OpenAI API key is required for the OpenAI node to generate summaries.
Notion Integration: A Notion integration and a Notion database set up to store the paper information. You'll need to grant the integration access to your database.
Slack Webhook/App: A Slack webhook URL or a Slack app credential configured to post messages to a specific channel.

Setup/Usage

Import the Workflow: Download the provided JSON and import it into your n8n instance.
Configure Credentials:
- OpenAI: Set up your OpenAI API key credential in n8n.
- Notion: Set up your Notion API key credential and ensure it has access to the target database.
- Slack: Set up your Slack API credential or webhook URL.
Customize Nodes:
- Schedule Trigger (Node 839): Adjust the schedule as needed (e.g., every hour, daily).
- HTTP Request (Node 19): Verify the Hugging Face URL if you want to target specific paper types or feeds.
- HTML (Node 842): Review and adjust the CSS selectors if the structure of the Hugging Face page changes, to ensure correct data extraction.
- OpenAI (Node 1250): Adjust the prompt for generating summaries if you need a different style or length.
- If (Node 20): Customize the conditions for paper categorization based on keywords relevant to your interests.
- Notion (Node 487): Map the incoming data fields to your Notion database properties (e.g., Title, URL, Summary, Category).
- Slack (Node 40): Configure the Slack channel and message content for uncategorized paper notifications.
Activate the Workflow: Once configured, activate the workflow to start automated fetching and processing.

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