Web Scraping means collecting or download any kind of content or data from a website. Most of the popular websites have their API that allows you to scrape data and Python has also many web scraping libraries that allows you to scrape any kind of website. So in this article, I will take you through some of the best web scraping projects with Python that you should try.
Web Scraping Projects with Python
Web Scraping to Create a Dataset:
The datasets that you find on the internet from various data sources are either created by companies and organizations or are collected from websites. You must have scraped data from web pages by using the Python libraries, but may have stuck while preparing the scraped data to create a dataset. So in this web scraping project, you will learn how to scrape data from any website and create a dataset using Python. You can find this project from here.
Scraping Latest News:
Most of the datasets that you find from different data sources on the internet are created by collecting data from websites. Using the GoogleNews API in Python, we can scrape trending news updates based on any keyword or country. It allows you to retrieve information on any keyword which can be the name of any country, any event or even the name of a person who is trending on Google. You can find this complete web scraping project from here.
Scraping Twitter:
Twitter data can be used to analyze many patterns such as how people react to a particular event. Twitter usually allows you to access its data by registering and then applying to the Twitter Developers account. But if you don’t have access to the data by using the Twitter Developers account, this project is for you. Here, you will learn how to scrape Twitter data without registering with the Twitter developers account. You can find this web scraping project using Python from here.
Scraping Instagram:
From looking at the followers to downloading media from any Instagram account, you can do so much by scraping Instagram. There are many ways to scrape data from Instagram but in this project, you will learn the most simple way for scraping Instagram with Python. You can find this complete web scraping project using Python from here.
Scraping YouTube:
Whether it’s watching the description of a particular video or downloading that video in the best possible quality, there is a lot you can do by scratching YouTube. YouTube data can also be used to analyze patterns to find the most suitable type of description or title to achieve a greater reach on YouTube. You can find this complete web scraping project from here.
Summary
Web Scraping means collecting or download any kind of content or data from a website. Most of the popular websites have their API that allows you to scrape data and Python has also many web scraping libraries that allows you to scrape any kind of website. I hope you liked this article on web scraping projects with Python. Feel free to ask your valuable questions in the comments section below.
