Mark Cuban Companies Web Scraper

🔍 Preview Output

🚀 How it Works

1. Fetches the main page using Axios
2. Collects all /companies/ links
3. Loads each company page
4. Extracts brand name, website, and social links
5. Saves everything into example-output.csv

A lightweight Node.js web scraper built with Axios and Cheerio.
This scraper collects company information from markcubancompanies.com, including:

• Brand name
• Official website
• Facebook link
• Instagram link

All results are exported into a clean CSV file (example-output.csv).
This project is part of my portfolio to demonstrate real-world web scraping ability.

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🚀 Features

• Automatically extracts all company URLs
• Detects official brand websites (external links only)
• Detects Facebook and Instagram using hostname matching
• Fallback logic when website links are not clearly labeled
• Custom User-Agent and polite delay between requests
• Clean CSV output with escaped formatting

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▶️ Installation

Install all required dependencies:

npm install

▶️ Run the Scraper

Run the script using:

node scrape-mcc.js

📄 Output (CSV)

The scraper generates a CSV file:

example-output.csv