If you are not signed up already for the Zyte Developers Community newsletter, you can sign up here.
In this issue:
In this article, Rinki Nag shows us how to build an end-to-end NLP project by scraping Google data, Twitter, etc., and creating word-cloud to perform sentiment analysis.
Cliff Chew, a frequent user of Singapore libraries faced a lot of problems navigating their app, finding his favorite book only to realize that it was unavailable at his preferred library. So he decided to write a web scraper to scrape his books of interest and create a dashboard to see which books are available at which libraries.
Are you interested in investing in the stock market? You’ll find this article by Code_Jedi useful. He created a web scraping project that scrapes the latest Tesla stock prices from Yahoo finance using Node.js and puppeteer.
Any good ML project needs data to run training and testing. Since most ML libraries can handle pandas data frames that can be edited for your model with minimal changes, Tobi Olabode teaches us how to scrape a webpage to get the data you need and convert it into a pandas dataframe.
Ever downloaded multiple images from Google?
Eshita Goel’s project makes the task easier. She uses Selenium to scrape images from Google Chrome and saves them to a specific folder.