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Daily Hugging Face papers summarised by OpenAI in Notion

by Mindketn8n workflowResearch
Newversion 1 · updated
Nodes7Apps3Like

Overview

  1. Schedule Trigger
  2. Get Daily Papers
  3. Loop Over Items
  4. Check Paper URL Existed
  5. If
  6. OpenAI Analysis Abstract
  7. Store Abstract Notion
Daily Hugging Face papers summarised by OpenAI in Notion, picture 1
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An n8n workflow that reads Hugging Face’s list of daily papers each weekday morning and asks OpenAI to digest every abstract. It saves one Notion row for each new paper and skips papers that are already in the table.

Daily Hugging Face papers summarised by OpenAI in Notion is an n8n workflow in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • Another schedule: change the days and the hour in the first node
  • Another model: change modelId in OpenAI Analysis Abstract, and keep the JSON field names

Platform

n8nWorkflow automation, in n8n’s cloud or on your own server
Connects 3 apps

How it works

Trigger

A weekday schedule

It runs by itself:

  • Monday to Friday at 8:00
  • The date asked for is yesterday’s

Actions

  1. Hugging Face’s API is asked for the papers of the previous day
  2. Each paper’s address is looked up in the Notion table
  3. A paper that is already in the table is passed over
  4. OpenAI reads the abstract of a new paper and returns a core idea, keywords, results, technical details and a classification
  5. A row with the title, the abstract and those fields is added to Notion

Result

A new Notion row for each paper that was not in the table yet

Integrations

What you need before you start.

Hugging Face

Paper source

Lists the day’s papers with their titles and abstracts.

NeedsNo credential in the workflow

Notion

Paper table

Holds the table, answers the address lookup and stores each new row.

NeedsA Notion credential and a database with the nine properties

OpenAI

Language model

Reads each abstract and returns the digest as JSON.

NeedsAn OpenAI API key, in an OpenAI credential

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
7 steps, starting on a schedule
AI
1 step calls an AI model: OpenAI Analysis Abstract
Sign-ins
Signs in to: Notion
API keys
No API key is left in the file
Step types
Mindket’s checker reads all 6 of its step types

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow files a short digest of every new Hugging Face daily paper in a Notion table. Each weekday at 8:00 it asks the Hugging Face API for the papers of the day before. For each paper it looks in Notion for the paper’s address and skips it if it is there. A new paper’s abstract goes to OpenAI, which returns a core idea, keywords, results, technical details and a classification. Seven nodes do the work. Notion gets one row for each new paper.

Who it suits

Researchers, machine learning engineers and reading groups who want a searchable archive of daily papers without opening every abstract. Skip it if you need the full text, because it keeps only the abstract and the digest. The digest comes from a language model and can be wrong.

Who uses it, and how
IndustryWho uses itHow they use itExample
ResearchResearch teamsKeep a searchable log of new papersA lab reads the Notion table each morning and opens only the papers whose keywords match its project.
EducationCourse leadersPick reading for a seminarA lecturer filters the Classification column for reinforcement learning and chooses next week’s papers.
TechnologyEngineering managersFollow the field without reading everythingA manager scans the Core Introduction column on Friday and forwards three papers to the team.
MediaNewsletter writersFind topics for a weekly AI digestA writer sorts the table by date and picks the papers with the clearest results line.

You need basic n8n skills, a Notion database with nine properties and an OpenAI API key.

Where to use it

Any n8n that can reach Hugging Face, Notion and the OpenAI API will run it. Once you activate it, it runs by itself.

  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • Another schedule: change the days and the hour in the first node
  • Another model: change modelId in OpenAI Analysis Abstract, and keep the JSON field names

Setup

Download saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. The Notion table must carry the property names the workflow writes to.

What you need first
NeedDetail
n8nOn n8n Cloud or on a server of your own
NotionA Notion integration and a database with the properties URL (URL), title (title), scrap-date (date) and abstract, Classification, Technical_Details, Data_and_Results, keywords and Core Introduction (text)
OpenAIAn API key, saved in an OpenAI credential
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. In Notion, create a database with the nine properties listed above and share it with your Notion integration.
  3. Add a Notion credential and select it in Check Paper URL Existed and in Store Abstract Notion.
  4. In both Notion nodes, pick your database in place of <YOUR_NOTION_DATABASE_ID>.
  5. Add an OpenAI credential and select it in OpenAI Analysis Abstract.
  6. Run it once with Execute workflow and look at the Notion table.
  7. Activate the workflow so that the schedule runs it.

How to use it

Activate the workflow, or run it by hand to test it. After that it fetches the papers of the previous day on its own and adds the new ones to the table.

What to change for a different result
To changeWhere
The days and the hourSchedule Trigger
The day of the papersThe date query value in Get Daily Papers
The number of papersA limit query value in Get Daily Papers, from 1 to 100, with 50 as the default
What the model extractsThe system message in OpenAI Analysis Abstract and the matching properties in Store Abstract Notion
The modelmodelId in OpenAI Analysis Abstract
The Notion tableThe database in Check Paper URL Existed and in Store Abstract Notion

Example

On Wednesday at 8:00 the workflow asks Hugging Face for Tuesday’s papers.

It looks up each paper’s address in the Notion table and sends the abstracts of the new ones to OpenAI. The table gains a row for each, with the title, the abstract and the five fields of the digest.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. An API is a web address that answers programs with data instead of a web page. Here Hugging Face’s API returns the list of the day’s papers.

For experts. The request goes to /api/daily_papers with a date query, and the HTTP Request node turns the JSON array into one item per paper. Loop Over Items takes the papers one at a time. The Notion lookup has alwaysOutputData on, so a paper that is not found still gives an empty item, which the If node reads as new. The OpenAI node calls Chat Completions with JSON output, and the answer arrives in message.content.

Where to look closer
NodeWhat it doesWhat to know
Get Daily PapersAsks Hugging Face for the papers of the previous dayOne item per paper, with paper.id, paper.title and paper.summary
Check Paper URL ExistedLooks for the paper’s address in the Notion tableWith no match it returns an empty item
IfSends new papers on and passes over the restAn empty item means the paper is new
OpenAI Analysis AbstractAsks the model for five fields as JSONThe answer is read from message.content
Store Abstract NotionAdds the row to the tableThe abstract is cut at 2000 characters, the size of one Notion text block

Good to know

The page scraping was replaced by Hugging Face’s API, and the model was replaced. Mindket did not run this workflow.

  • Source: the file read the HTML of the papers page by CSS class names, which break when the page design changes. Mindket’s copy asks /api/daily_papers, which Hugging Face’s OpenAPI file, read on 12 November 2026, lists with a date parameter
  • Model: the file used gpt-4o-2024-11-20, which OpenAI’s deprecations page, read on 12 November 2026, shuts down on 14 January 2027. Mindket’s copy uses gpt-6-luna, the replacement the page names. No tools are attached to it
  • Dates: the run asks for yesterday’s date, so a Monday run asks for a Sunday. Hugging Face may list no papers for it, so move the days in Schedule Trigger if the table stays empty
  • Quality: a language model writes the digest. Check a number against the paper before you quote it
  • The file holds no credential and no Notion database ID

README and files

README

Daily Hugging Face papers summarised by OpenAI in Notion

An n8n workflow that reads Hugging Face’s list of daily papers each weekday morning and asks OpenAI to digest every abstract. It saves one Notion row for each new paper and skips papers that are already in the table.

What is inside

  • workflow.json: the workflow as n8n exports it, seven nodes and no sticky notes. It holds no credential.
  • README.md: these notes.

What we changed from the original copy

  • The original read the HTML of the Hugging Face papers page and of each paper’s page by CSS class names. Mindket’s copy asks the API route /api/daily_papers instead, which returns one item for each paper. The detail request, the two HTML extraction nodes and the Split Out node are gone, so seven nodes remain.
  • The model was gpt-4o-2024-11-20, which OpenAI’s deprecations page, read on 12 November 2026, shuts down on 14 January 2027. Mindket’s copy uses gpt-6-luna.
  • The Notion database ID and its cached name and address are gone. They are now <YOUR_NOTION_DATABASE_ID>, so you pick your own database.
  • The system message ended with a stray code fence. It is cut.
  • The Notion and OpenAI nodes were linked to credentials in the original owner’s n8n. The links are gone, so select your own.
  • Nothing else. The schedule, the loop, the If node and the property names are the original copy’s own.

Before you start

  • An n8n instance, on n8n Cloud or your own server.
  • A Notion integration and a database that has the properties named in the setup steps.
  • An OpenAI API key.

Set it up

  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. In Notion, create a database with the nine properties listed above and share it with your Notion integration.
  3. Add a Notion credential and select it in Check Paper URL Existed and in Store Abstract Notion.
  4. In both Notion nodes, pick your database in place of <YOUR_NOTION_DATABASE_ID>.
  5. Add an OpenAI credential and select it in OpenAI Analysis Abstract.
  6. Run it once with Execute workflow and look at the Notion table.
  7. Activate the workflow so that the schedule runs it.

How a run goes

  1. Schedule Trigger starts the run on weekdays at 8:00.
  2. Get Daily Papers asks /api/daily_papers for the papers of the previous day and returns one item for each.
  3. Loop Over Items takes the papers one at a time.
  4. Check Paper URL Existed looks for the paper’s address in the Notion table.
  5. If sends a paper that is not in the table to the model and lets the others go back to the loop.
  6. OpenAI Analysis Abstract reads the abstract and returns the core introduction, keywords, data and results, technical details and classification as JSON.
  7. Store Abstract Notion adds the row and returns to the loop for the next paper.

Change the result

  • The days and the hour: Schedule Trigger.
  • The day of the papers: The date query value in Get Daily Papers.
  • The number of papers: A limit query value in Get Daily Papers, from 1 to 100, with 50 as the default.
  • What the model extracts: The system message in OpenAI Analysis Abstract and the matching properties in Store Abstract Notion.
  • The model: modelId in OpenAI Analysis Abstract.
  • The Notion table: The database in Check Paper URL Existed and in Store Abstract Notion.

Good to know

  • Mindket did not run this workflow. Hugging Face, Notion and OpenAI were not called. The route, its date and limit parameters and the fields of a paper come from Hugging Face’s OpenAPI file, and the node defaults from n8n’s source, read on 12 November 2026.
  • The loop reads each paper’s fields with $('Loop Over Items').item, because the Notion lookup replaces the item with its own result.
  • gpt-6-luna is used for a plain call. Do not give it tools in a Chat Completions node, because OpenAI’s model page says it calls tools there only with reasoning turned off.
  • The original cut the abstract at 2000 characters, the size of one Notion text block, and Mindket’s copy does the same. Nothing else is cut.
  • A Monday run asks for Sunday’s date, and Hugging Face may list no papers for it.
  • The file holds no credential, no key and no Notion database ID.
Files
NOTICE.md  618 B
README.md  4 KB
workflow.json  9 KB

3 files, 14 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

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