Automate Hugging Face Paper Discoveries to Notion
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Effortlessly track the latest research papers from Hugging Face by automating their discovery and analysis. This workflow pulls new papers, extracts key details, and stores them in your Notion workspace for easy access and organization.
About This Workflow
Stay ahead of the curve in AI research with this powerful automation. The "Hugging Face Papers to Notion" workflow is designed to systematically scan Hugging Face for newly published papers, leveraging advanced HTML parsing to extract relevant URLs. It then intelligently checks your Notion database to avoid duplicates and proceeds to fetch detailed information. Crucially, it utilizes OpenAI's powerful language models to analyze paper abstracts, distilling them into core introductions, keywords, key data, technical details, and academic classifications. Finally, all this valuable information is neatly organized and stored within your specified Notion database, providing a curated and easily searchable repository of cutting-edge AI research.
Key Features
- Automated Paper Discovery: Automatically fetches new research papers from Hugging Face based on publication date.
- Intelligent Deduplication: Prevents duplicate entries in your Notion database by checking for existing paper URLs.
- AI-Powered Abstract Analysis: Extracts key insights, keywords, and classifications from paper abstracts using OpenAI.
- Structured Notion Integration: Organizes extracted research data into a clean and searchable format within your Notion workspace.
- Customizable Scheduling: Run the workflow on your preferred schedule to ensure you're always up-to-date.
How To Use
- Configure Schedule: Adjust the "Schedule Trigger" node to run the workflow at your desired frequency (e.g., daily, weekly). The current setting runs Monday-Friday at 8 AM.
- Set Hugging Face URL: Ensure the "Request Hugging Face Paper" node is pointing to the correct Hugging Face papers endpoint (
https://huggingface.co/papers). Thedatequery parameter is dynamically set to fetch papers from the previous day. - Refine HTML Extraction: In the "Extract Hugging Face Paper" node, review and adjust the CSS selector (
.line-clamp-3) if Hugging Face's website structure changes to ensure paper URLs are correctly extracted. - Configure Notion Database Check: In the "Check Paper URL Existed" node, ensure your Notion API credentials are set up and the
databaseIdcorrectly points to your target Notion database (e.g., "huggingface-abstract"). Theurlfilter needs to be accurately mapped to the URL field in your Notion database. - Set OpenAI API and Prompt: In the "OpenAI Analysis Abstract" node, provide your OpenAI API credentials. Review and refine the system prompt to tailor the abstract analysis to your specific needs (e.g., changing the output JSON structure or the questions asked).
- Configure Notion Storage: In the "Store Abstract Notion" node, set up your Notion API credentials and ensure the
databaseIdmatches the one used for checking, or points to a different, dedicated storage database. Map the output fields from the OpenAI analysis to the corresponding columns in your Notion database.
Apps Used
Workflow JSON
{
"id": "3c081576-0ba9-4cc3-8e34-e5d86209da88",
"name": "Automate Hugging Face Paper Discoveries to Notion",
"nodes": 14,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 3c081576-0ba9...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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