Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications

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Important notice

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

1. Workflow Overview

Introduction Automates scholarship tracking by scraping university sites, assessing eligibility via AI, and publishing results to WordPress or Slack. Eliminates manual searches for students, counse...

Best for

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

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.aggregate

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications
Workflow name: Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications

Introduction

Automates scholarship tracking by scraping university sites, assessing eligibility via AI, and publishing results to WordPress or Slack. Eliminates manual searches for students, counselors, and education platforms, enabling scalable curation and timely notifications.

How it Works

Webhook triggers parallel scraping of NUS, NTU, SIT, SUTD → merge data → AI evaluates eligibility → aggregate qualified scholarships → generate summaries → post to WordPress/Slack → send email notifications with appeal options.

Setup Steps

Configure OpenAI credentials and eligibility prompt template
Update HTTP requests with university URLs and selectors
Add WordPress site URL and API credentials
Create Slack webhook and notification channel
Configure Gmail/SMTP for email notifications

Workflow

Webhook → Scrape 4 Universities (Parallel) → Merge Data → Prepare Context → AI Eligibility Check → Aggregate Results → Generate Summary → Check Status → Publish Slack/Email/WordPress → Handle Appeals

Workflow Steps

Scraping: Fetch scholarship pages from four universities simultaneously
Merge: Combine data into a unified dataset
AI Processing: Analyze eligibility criteria, deadlines against student profile
Aggregation: Consolidate qualified scholarships with match scores
Publishing: Post to WordPress, send Slack/email with results
Appeals: Webhook handles rejection appeals with AI review

Prerequisites

OpenAI API key, WordPress site with REST API, Slack workspace with webhook, Gmail/SMTP credentials, student profile data (GPA, citizenship, major)

Use Cases

Counselors automating recommendations for 100+ students, financial aid offices aggregating departmental opportunities

Customization

Add universities (SMU, SUSS, international institutions), include government schemes (MOE, Edusave, Mendaki)

Benefits

Saves 10+ hours weekly per counselor, monitors 50+ scholarships automatically, provides AI eligibility matching (85%+ accuracy)

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 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Scrape NUS Requirements

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

Block 3 - Scrape NTU Requirements

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

Block 4 - Scrape SIT Requirements

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

Block 5 - Scrape SUTD Requirements

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

Block 6 - Scrape SMU Requirements

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

Block 7 - Merge University Data

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

Block 8 - Prepare Data for AI

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 10 - AI Agent - Eligibility Analyzer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 11 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 12 - Aggregate Results

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

Block 13 - Generate Summary

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Send Slack Summary

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

Block 15 - Publish to WordPress

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

Block 16 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 17 - Check Eligibility Status

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2

Block 18 - OpenAI Appeal Writer

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 19 - AI Agent - Appeal Letter Generator

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 20 - Appeal Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 21 - Format Appeal Emails

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 22 - Send Appeal Email

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 2

Block 23 - Save Appeal to WordPress

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

Block 24 - Notify via Slack - Appeals

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

Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications
Complexity	advanced
Nodes	31
Categories	Document Extraction, AI Summarization
Author	Cheng Siong Chin
Published	08 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10626/10626.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications do?

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.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.httprequest n8n-nodes-base.merge n8n-nodes-base.code @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.aggregate

Complexity

advanced

Published 08 Nov 2025

Likes 0

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Install path: /data/workflows/10626/10626.json

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Singapore university eligibility analyzer with GPT-4o-Mini, WordPress and Slack notifications

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Introduction

How it Works

Setup Steps

Workflow

Workflow Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Scrape NUS Requirements

Block 3 - Scrape NTU Requirements

Block 4 - Scrape SIT Requirements

Block 5 - Scrape SUTD Requirements

Block 6 - Scrape SMU Requirements

Block 7 - Merge University Data

Block 8 - Prepare Data for AI

Block 9 - OpenAI Chat Model

Block 10 - AI Agent - Eligibility Analyzer

Block 11 - Structured Output Parser

Block 12 - Aggregate Results

Block 13 - Generate Summary

Block 14 - Send Slack Summary

Block 15 - Publish to WordPress

Block 16 - Respond to Webhook

Block 17 - Check Eligibility Status

Block 18 - OpenAI Appeal Writer

Block 19 - AI Agent - Appeal Letter Generator

Block 20 - Appeal Output Parser

Block 21 - Format Appeal Emails

Block 22 - Send Appeal Email

Block 23 - Save Appeal to WordPress

Block 24 - Notify via Slack - Appeals

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions