5- How to Collect Data from a Website Using Python | Web Scraping Tutorial (Part 1)
ฝัง
- เผยแพร่เมื่อ 9 ก.ย. 2024
- Are you ready to dive into the world of web scraping with Python? In this tutorial, I'll guide you step-by-step through the process of collecting data from an eCommerce books website called "Books to Scraper." Whether you're a beginner or an experienced developer, this video will help you understand how to gather valuable data from websites efficiently using Python.
What You’ll Learn:
Introduction to data collection
Why data collection is important
Using popular libraries like BeautifulSoup and requests to extract data
Navigating through HTML structures to find the data you need
Practical example: Scraping book titles, prices, availability, and more from Books to Scraper
Handling pagination and large datasets
Why Watch This Video?
Understanding web scraping is crucial for anyone looking to automate data collection, especially in fields like data science, digital marketing, and eCommerce. By the end of this video, you'll be equipped with the skills to extract meaningful data from any website, opening up a world of possibilities for your projects.
Don't forget to like, subscribe, and hit the notification bell to stay updated with more Python tutorials and data science content!
Links & Resources:
Join My Python & Data Science Community
#Python #WebScraping #DataScience #Ecommerce #BooksScraping #BeautifulSoup
I was trying out the codes in the video but the get_text() function returned an error 'NoneType' object has no attribute 'get_text'
@@gulshankumaralok5128 hello! Are you using the same website to books.toscrape?
Yeah, the same. I'm using jupytr notebooks tho.
@@gulshankumaralok5128 it's okey jupyter notebooks works the same. Can you send me the code on my Gmail : datascienceeveryone772@gmail.com i check it right now
If you are trying to get the title (the h3 tag) try using. Find("h3").find("a").get_text() instead of using .find("h3").get_text(). Check the code on github to to compare yours with the one on the video : github.com/ibtissam09/Hands-on-Machine-Learning