Welcome to Python Web Scraping Projects — a collection of simple, practical Python scripts focused on automating data extraction from the web.
These projects cover real-world scraping tasks using tools like requests, BeautifulSoup, and matplotlib — perfect for beginners, learners, or anyone building a personal scraping toolkit.
This repository features 10 beginner-friendly projects, including:
- Scrape Wikipedia Headings – Extract and structure headings from a Wikipedia page.
- Hacker News to CSV – Save top posts from Hacker News into a CSV file.
- Multi-Page Scraper – Handle pagination and scrape content across multiple pages.
- Stream Image Download – Download images using raw HTTP stream handling.
- Download with
wget– Automate file downloads using thewgetlibrary. - Quote Image Generator – Scrape quotes and generate styled quote images.
- Crypto Price Tracker – Fetch and visualize cryptocurrency prices using a graph.
- Scheduled Scraping Task – Run scraping jobs on an hourly schedule.
- SQLite Data Storage – Store and search scraped data in a SQLite database.
- PDF Reader with PyMuPDF – Extract text from PDFs using PyMuPDF.
- Language: Python 3
- Interface: Command-line
- Libraries:
requests,beautifulsoup4,matplotlib,PyMuPDF,sqlite3,wget - Focus: Web scraping, automation, data handling
- Style: Beginner-friendly and modular
This repo is part of a continuous learning journey. More small and useful scraping tools will be added regularly — stay tuned!
If you find this repo helpful:
- ⭐ Give it a star
- 🍴 Fork it and experiment on your own
- 💡 Suggest new project ideas or open a pull request
Happy scraping! 🕸️✨
