Description

NTNU University Staff Scraper – Python Source Code

Automate the collection of publicly available university staff information with this high-performance Python scraper.

This script is designed to extract employee and academic profile data directly from NTNU’s employee search API and export clean, structured datasets into Excel and CSV files.

Built using asynchronous programming, the scraper can efficiently process thousands of records while maintaining stable request handling and automatic retry logic.

Features

✔ Extract Employee Names

✔ Extract Email Addresses

✔ Extract Academic Positions

✔ Extract Profile URLs

✔ Export to Excel (.xlsx)

✔ Export to CSV (.csv)

✔ Automatic Deduplication

✔ Asyncio & Aiohttp Based

✔ SSL Certificate Handling Included

✔ Retry & Backoff System

✔ High-Speed Concurrent Scraping

✔ Clean and Readable Source Code

Extracted Data Fields

• Name
• Email Address
• Position / Job Title
• Profile URL
• University Name

Technical Specifications

• Python 3.x
• Asyncio
• Aiohttp
• Pandas
• SSL & Certifi Support

Ideal For

• Academic Lead Generation
• Research Outreach
• Educational Marketing
• Data Collection Projects
• Python Learning
• Web Scraping Training
• Research Collaboration Discovery
• Email Prospecting Workflows

What You Receive

• Complete Python Source Code
• Ready-to-Run Script
• CSV Export Functionality
• Excel Export Functionality
• Data Cleaning & Deduplication Logic

Skill Level

Beginner to Intermediate Python Users

Delivery Format

ZIP File containing Python Source Code

Disclaimer

This tool is intended for educational, research, and lawful data collection purposes only. Users are responsible for complying with website terms of service, privacy regulations, and applicable laws in their jurisdiction.