Put it into practice right away! Practical SQL analysis learned through e-commerce data
This course is suitable for MDs and marketers who want to analyze large amounts of e-commerce data using SQL, as well as job seekers (new or junior) in development roles who want to understand the flow of e-commerce data.
Code changes related to Coupang crawling (Chrome extension provided)
Hello!
Regarding Coupang crawling, please be advised that there are some changes to the lecture content.
Recently, a student reached out with a question stating that the Python crawling code provided previously is not working,
and after checking it myself, I have confirmed that it is currently not functioning properly.
This is due to insufficient management of my lecture materials,
and I would first like to apologize for the inconvenience caused.
After checking, I tried various ways to solve the issue, but
due to Coupang's current structure and blocking policies,
👉I have concluded that it is realistically difficult to provide a stable method for Python-based crawling.
Therefore, as an alternative,
✔crawling code using the Chrome extension method has been prepared and
✔newly attached to the lecture materials.
Please download the Chrome extension file from the lecture materials
and proceed according to that method.
If you get stuck or have any questions while proceeding, please feel free to leave a question at any time!
Each of your questions serves as the most important foundation for continuously expanding this course
and developing it into more realistic, high-quality content.
I will continue to manage this course by quickly addressing any shortcomings to ensure it remains a reliable and trustworthy resource.
Thank you!
P.S
Please check the lecture under Section 3. Coupang Crawling Using AI Agent :)