codingforentrepreneurs/Web-Scraping
Learn how to leverage Python's amazing tools to scrape data from other websites. The end goal of this course is to scrape blogs to analyze trending keywords and phrases. We'll be using Python 3.6, Requests, BeautifulSoup, Asyncio, Pandas, Numpy, and more!
This project helps you gather text content from multiple websites, specifically blogs. You provide a list of website URLs, and it delivers a spreadsheet (CSV file) containing the words from those pages. This is ideal for marketers, content strategists, or researchers who need to analyze online text for trends.
118 stars. No commits in the last 6 months.
Use this if you want to automatically collect text data from several web pages to identify common keywords and phrases.
Not ideal if you need to scrape complex interactive websites or require data beyond just words, like images or dynamic content.
Stars
118
Forks
66
Language
Python
License
MIT
Category
Last pushed
Dec 14, 2018
Commits (30d)
0
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