n8n-scholar-alerts-automation

🥈Silver

An n8n workflow that automatically fetches, classifies, and saves Google Scholar alert emails using AI, helping researchers cut through inbox overload.

910Updated 1mo ago

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/WSE-research/n8n-scholar-alerts-automation.git

Works with:

Claude

Overview

About This Skill

This n8n automation workflow solves the common researcher problem of accumulating hundreds of unread Google Scholar alert emails by automatically processing them in batches. It connects to Gmail to fetch unread Scholar alert emails, extracts paper titles, snippets, and URLs, then uses OpenAI to classify each paper as relevant or non-relevant. Papers marked relevant are saved directly to a Google Sheet with their title and URL, and all processed emails are marked as read. Researchers who need to track literature for literature reviews, related work chapters, or ongoing research monitoring will benefit most from this workflow.

How to Use

Import the GoogleScholar_Alerts_Automation.json file into n8n as a new workflow. Set up Gmail and Google Sheets OAuth credentials via the Google Cloud Console, enabling both APIs if needed. Add your OpenAI API key to the classification component. Then trigger the workflow manually or on a schedule to process unread Scholar alert emails.

Use Cases

Clearing a backlog of hundreds of unread Google Scholar alert emails in bulk

Automatically building a curated reading list of relevant papers in Google Sheets

Filtering out non-relevant papers before a literature review or related work update

Scheduling regular processing of new Scholar alerts to stay current with research topics

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/WSE-research/n8n-scholar-alerts-automation

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create an n8n workflow that automates the process of receiving Google Scholar Alerts emails, parsing the content, and organizing the information into a structured format. The workflow should include nodes for receiving emails, extracting relevant data, and storing the information in a database or spreadsheet. Use [COMPANY] as the name of the company, [INDUSTRY] as the industry of focus, and [DATA] as the type of data to be extracted.

Example Output

```markdown
## n8n Workflow for Google Scholar Alerts Automation

### Workflow Overview
- **Trigger**: Email node to receive Google Scholar Alerts
- **Parser**: Extract relevant data using a function node
- **Storage**: Store data in a Google Sheets node

### Detailed Steps
1. **Email Node**: Configure the IMAP node to connect to your email account and filter for emails from 'scholaralerts-noreply@google.com'.
2. **Function Node**: Use a function node to parse the email content and extract the following:
   - Title of the paper
   - Authors
   - Publication date
   - Link to the paper
   - Keywords related to [INDUSTRY]
3. **Google Sheets Node**: Set up a Google Sheets node to append the extracted data to a spreadsheet. Ensure the spreadsheet is named '[COMPANY] Scholar Alerts' and includes columns for Title, Authors, Date, Link, and Keywords.

### Additional Notes
- **Error Handling**: Implement error handling to manage cases where the email parsing fails.
- **Scheduling**: Set the workflow to run daily to ensure timely updates.
```

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