Tech News Trend Scraper

A high-performance Python script designed to monitor the pulse of the technology industry. This tool automates the collection of top headlines from Hacker News, transforming unstructured web data into a structured format for market analysis and trend forecasting using an open source scrapping tool.

Why This Project?

In a data-driven job market, being able to reliably extract and clean information is a critical skill. I built this tool to demonstrate:

• Professional Extraction: Using BeautifulSoup to traverse the DOM efficiently.
• Ethical Scraping: Implementing custom headers and rate-limits to respect server resources.
• Data Persistence: Automatically generating structured CSV files for downstream data analysis.

Tech Stack & Tools

• Language: Python 3.10+
• Libraries: requests, BeautifulSoup4
• Storage: CSV (Standard Structured Format)

Features

• Live Scrape: Pulls the current Top 30 stories from Hacker News.
• Timestamped Data: Every entry includes the exact time of extraction for historical trend tracking.
• User-Agent Spoofing: Mimics a modern browser to ensure reliable data retrieval.
• Clean Exports: Automatic CSV formatting, ready to be imported into Excel, Pandas, or SQL.

Installation & Usage

1. Clone the repository

git clone https://github.com/RootedDreamsBlog/tech-news-scraper.git
cd tech-news-scraper

2. Create a virtual environment

MacOS/Linux

python3 -m venv venv

Windows

python -m venv venv

3. Activate the virtual environment

MacOS/Linux

source venv/bin/activate

Windows

.\venv\Scripts\activate

4. Install dependencies

pip install -r requirements.txt

5. Run the scraper

python scraper.py

Preview

Terminal Output

Extracted Data (CSV)

Contact

Built by RootedDreamsBlog (https://www.rooteddreams.net) or read the full article on web scraping software open source at https://www.rooteddreams.net/web-scraping-software-open-source/

Disclaimer: This project is for educational purposes and respects the robots.txt guidelines of the target website.