This is a simple Web Scraper based on Python's libraries.
A Python-based web scraping tool designed to automate the process of collecting data from websites.
- Simple and easy to use
- Can handle multiple scraping tasks at once
- Supports both static and dynamic websites
- Ability to extract specific elements or all page content
- Can save data to a variety of formats including CSV, Excel, and JSON
- Built-in support for handling common scraping challenges such as IP blocking and CAPTCHAs
- Python 3.6+
- requests
- bs4 (BeautifulSoup)
- lxml
- pandas (optional for saving data to CSV or Excel)
from scraper import Scraper
# Initialize the scraper
scraper = Scraper()
# Add a scraping task
scraper.add_task(url='https://www.example.com', element='#content')
# Start the scraping process
scraper.start()
# Retrieve the scraped data
data = scraper.get_data()