Web Scraping - Zero To Pro! (Scrape & Display On A Website)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.55 GB
Genre: eLearning Video | Duration: 5 lectures (1 hour, 34 mins) | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.55 GB
Genre: eLearning Video | Duration: 5 lectures (1 hour, 34 mins) | Language: English
Python & Beautiful Soup (back end) with Flask & Bootstrap. Re-create the 8 million covid site and more mini projects!
What you'll learn
How to webscrape using Python, Beautiful Soup, lxml (backend) and Flask and Bootstrap/HTML (front end)
How to re-create the covid-tracker Avi Shiffman created (and was offered $8 million for!)
Scraping additional sites and displaying this data on a beautiful website
In just four amazing lessons, you'll go from zero to pro - Full stack webscraping!
Requirements
Basic python is recommended but not required. We take it slow and assume nothing!
Description
In this amazing four part series (truly like no other!) you will go from absolute zero to setting up a flask server to run websites from (we'll be using Bootstrap to display your beautiful web scrapings on!) and set up the back end with Flask, Beautiful Soup, lXML and requests to ready to start coding in Python for some web scraping. Most tutorials cover the back end but not displaying scraped data on a website. This is full stack, completely awesome and in four lessons you WILL share this series! During the series you learn the basics by scraping simple quote sites, Wikipedia and even re-create the essence of the $8 million covid-tracking website that was set up by seventeen year old Avi Shiffman. Lots to learn and everything is done in a truly engaging, student and beginner-friendly way. This is one course you won't regret enrolling in! All the best and enjoy! Based on some feedback, I should note this is not an advanced, super complex series but something that will give you a perfectly solid foundational understanding and structure for the future.
Who this course is for:
Beginner Python developers, advanced developers looking to learn web scraping, students