Mastering Crawling Through Practice with Data Workshop

I will teach you the crawling know-how to comfortably catch fish and splash around in the sea of information.

📑 Check if any of the items in the list below apply to you!

• ✅ I am manually modifying and refining repetitive tasks one by one every single day.
• ✅ I don't have enough time because of repetitive tasks, so I can't even dream of doing important analytical work.
• ✅ I want to efficiently handle tasks like creating simple graphs or making and reporting simple PPTs.
• ✅ I feel a sense of self-loathing from endlessly repeating Ctrl + C and Ctrl + V.
• ✅ I want to assign tasks to the computer and invest my time, care, and effort into truly important work.
• 👉 If one or more of these apply to you, you should take this course.

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Crawling know-how for comfortably catching fish and splashing around in the sea of information 📑

Is there any data that doesn't exist on the internet these days? No, there isn't. You might think you can just save and use all the materials you find, but is it really that easy? Making the difficult possible—collecting information from internet web pages—is exactly what is called crawling. Learning how to crawl would be great for increasing work efficiency, wouldn't it? However, there are countless methods for Python crawling. If you try to learn all of them, it's exhausting and time-consuming. In fact, there aren't many people who even know them all.

I have stayed up all night researching, testing, and executing these methods one by one, and I have structured this course by selecting only the essential core commands and techniques that remain after removing unnecessary and redundant elements. I will skip the minor details and teach you only the core essentials.

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Trustworthy "Data Workshop" 💪

Even now, more than a thousand people visit my blog every day to read the basic crawling articles I wrote three years ago.

📗Naver Blog "Data Workshop"

<Crawling for Marketers Who Don't Know Code #4. Getting Information with BeautifulSoup>
Cumulative views 44k, as of 2021.01.14 -

Even after writing that post three years ago, I have continued to work on many projects, review Q&A, and conduct new tests, and there hasn't been anything I couldn't handle using the techniques I've organized so far. While many libraries and various methods are pouring out, in the end, if you master just the most fundamental basics, you can apply them to anything. Rather than a short-term fix that only solves one specific problem, I want to teach you methods that work for this and that, and can be used continuously in the future.

Stop wandering through various commands and lectures, and join "Data Workshop". I am introducing core content that I have confidently organized based on countless trials, errors, and tests. If you move on to another lecture now, you'll come back later and think, "Ah... I should have just taken it then..." If you know it, it's a skill; if you don't, it's magic! Once you learn that skill, your life will become truly comfortable!

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What kind of lecture is this? 🧐

• This is not a lecture where you simply read the code, run it, and move on.
• We type everything out ourselves while explaining, interpreting, and contemplating together.
• To put it the other way, it is not a comfortable course.
• This is not a lecture where you can just sit still and run the code, or simply listen.
• It is an uncomfortable lecture where you must continuously type and follow along.

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What you will learn in this course ✏️

• From Python installation to the essential Python usage required for crawling
• Information on web pages visible to my eyes
• Crawling technology that eliminates the need for Ctrl + C, Ctrl + V
• No unnecessary, fancy words or low-utility content!
• Just the core essentials that can be utilized to 200% capacity!

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Tools covered here 🧰

A computer for hands-on practice is required during the lecture.

• Python 3.x Installation
• Installing Jupyter Notebook
• Install Chrome browser

As long as it doesn't take more than 20 minutes to boot, your computer specifications will be fine.

It is recommended to use Anaconda for installing Python; please refer to the installation guide: https://m.blog.naver.com/kiddwannabe/221154599192

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Anticipated Q&A 🙋🏻‍♂️

Q. Can non-majors take this course? It's my first time coding....
A. This course is designed for non-majors. We will go through everything step-by-step, starting from program installation. I kept my hands and voice busy throughout to share my personal tips along the way. I recommend watching all the lesson videos without skipping any.

※ If you are already proficient in programming, I recommend increasing the playback speed or taking a different course.

Q. Who should take this course?
A. Those who are curious about what can be done with Python!
Those who are afraid because it's their first time programming!
Those who want to make the computer do the work and go home!

Q. What is the difference from other lectures?
A. This is not a lecture where you just look at PPT slides!
This is not a lecture that just reads through pre-written code!
It is a practical application lecture where you type and execute everything yourself, encounter errors, and examine the results.

Q. Are there practice files and organized materials?
A. To match a live coding environment as much as possible, we proceed by typing everything one by one into an empty Jupyter Notebook, and for parts that require visual explanations, we conduct the lecture using PPT slides.

[updated]
- 2021.02.17. Added Instagram crawling
- 2021.05.06 Added YouTube crawling.

- 2023.01.31  Added how to use the Chrome browser version automatic update code.

 

More lectures will be added continuously, and
if you have any requests or questions, please contact us at datago0ba0@gmail.com. Thank you.