This course is a systematic course that learns crawling and Python data collection technology along with Python introduction and crawling basics boot camp . It is a special course that was created with the students' perspective in mind as much as possible , and is conducted in parallel with the field, and is a course that allows you to learn the functions one by one in a short period of time along with the lecture, and to further build data processing capabilities .
# What is the fastest and most stable crawling technique?
The most basic Python technology is the technique of using the requests and BeautifulSoup libraries. However, for each website, there are many cases where crawling is difficult with only related technologies. In this case, the technologies used are Selenium and Headless Chrome. Using related technologies, crawling is possible even in environments that require special operations, such as sites that require login. Also, when crawling a large amount of data stably rather than simply crawling a single web page, a framework called Scrapy is used. Scrapy is the fastest and most stable crawling technology.
# Is it difficult? How much do I need to know? Can I do it on my PC?
If you can understand Python programming and the basics of crawling, we have organized it so that you can crawl examples that are actually crawlable, focusing on the core parts, and use them right away. Also, since the related technology is closer to a technology that you need to use rather than a technology that you need to understand in depth, if you set a scope and learn it step by step, focusing on the parts that you absolutely need to understand, you can learn it more easily and in a shorter period of time.
* This course is designed to help you learn potentially complex related technologies easily in a short period of time .
# I don't have any basic knowledge of Python programming and crawling. Can I learn it systematically?
This course is designed to systematically learn from the basics to crawling technology or data analysis/science technology sequentially by learning it together with the Python Introduction and Crawling Basics Bootcamp in accordance with the data analysis/science roadmap described at the bottom of this detailed introduction.
In particular, Python programming and crawling basics are provided separately through the Python Introduction and Crawling Basics bootcamp classes. Through these two subjects, even those who have no knowledge of Python or crawling can follow along from the bottom, explaining everything from program installation in each Windows/Mac environment to background knowledge such as understanding of the web.
# I want to learn all the various technologies related to crawling, a data collection technology. How can I do that?
You can learn all the existing crawling technologies through the Python Introduction and Crawling Basics Bootcamp and this course.
# To what extent should I learn crawling techniques for data analysis/science?
It is sufficient to learn up to the level covered in the Python Introduction and Crawling Basics Bootcamp and this lecture. In addition, the background knowledge (HTML/CSS that compose the web) required to learn related technologies, various data formats required to handle data in programming, and even how to use Open API are all covered in both lectures. Through this, you can naturally become familiar with how to handle data in programming.
* Also, when doing data analysis/scientific work in the future, the most difficult thing is actually getting the data I want. If you are equipped with the most powerful weapon to get the data I want through this lecture and the Python Introduction and Crawling Basics Bootcamp, you can grow into a much more competitive and capable data analyst/scientist.
<center><h3 style="text-align:start"> To help you become familiar with relevant application technologies in a short period of time<br /> <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#ba372a">We provide lectures based on various codes and materials, step by step/technology-wise.</span> </h3><p><img title="selenium_scrapy_materials_ads.gif" src="https://cdn.inflearn.com/public/files/courses/324146/e81a1253-2739-4d78-baf3-9868b795e837/selenium_scrapy_materials_ads.gif" alt="" width="720" height="405" /></p></center>
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Have there been people who have paid millions of won for a lecture that only teaches grammar? While listening to the lecture, you can naturally repeat it, and it is inevitably ingrained in your head, and it is even patterned so that it can be used in practice, so that it can be used as is! It can be changed to fit various cases, and it is possible to properly build up the basics. At the same time, it is a curriculum that considers liberal arts students and even time. It is a lecture that was created after much thought due to an attachment to online lectures.
<center><div id="text-block-20" class="mk-text-block "><div class="clearboth"> <strong style="color:#bf360c">Crawling by manipulating browser and mouse with Selenium</strong> <strong style="color:#bf360c">(Next News Comment Crawling Example)</strong> </div><div class="clearboth"><img src="https://cdn.inflearn.com/public/files/courses/324146/e5e8aeae-5967-4266-a214-35ffd0c3ba08/selenium3.gif" alt="" width="800" /></div><div class="clearboth"></div><div class="clearboth"><p style="text-align:start"> If you are curious about the systematic curriculum, I recommend that you also take the crawling lecture, data analysis, and database lectures. </p><div class="vc_col-sm-12 wpb_column column_container vc_custom_1443015009332 _ height-full" style="box-sizing:inherit;color:#000a12;font-family:'Noto Sans KR', -apple-system, system-ui, system-ui, 'Apple SD Gothic Neo', 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif, Oxygen, Ubuntu, Cantarell, 'Fira Sans', 'Droid Sans', Helvetica;font-size:16px;text-align:start;background-color:#ffffff"><div class="vc_col-sm-12 wpb_column column_container vc_custom_1443015009332 _ height-full" style="box-sizing:inherit"><center style="box-sizing:inherit"><div style="box-sizing:inherit;width:536px;padding:0.5rem;margin-top:2rem;margin-bottom:2rem"><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding:0px;line-height:27.808px;font-size:1.1rem;color:#ba372a;font-weight:bold"> This is a series of IT lectures that we have carefully created so that you can feel, 'Ah! It's really different!'<br style="box-sizing:inherit" /> Only those who are rational, considerate of each other, and can build good relationships<br style="box-sizing:inherit" /> Please take the class! </p></div></center><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding:0.4rem 0rem 0.4rem 1rem;font-size:1.1rem;background-color:#ba372a"> <span style="box-sizing:inherit;color:white;font-weight:bold">Courses currently open or scheduled to open on Inflearn</span> </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding:0.4rem 0rem 0.4rem 1rem;font-size:1.1rem;background-color:#eeeeee"> <span style="box-sizing:inherit;color:inherit;font-weight:bold">Full Stack Course: Tech Tree that will help you create the latest web/app services from A to Z on your own</span> </p><center style="box-sizing:inherit"><img style="box-sizing:inherit;height:auto;display:block" title="fullstack_roadmap.jpg" src="https://cdn.inflearn.com/public/files/courses/325804/5251d2ba-69a9-4a9c-a96c-c3dac4e9665e/fullstack_roadmap.jpg" alt="" width="720px" /></center><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding:0px">They are numbered in order of ripening. </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding-right:0px;padding-bottom:0px;padding-left:0px"> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/python-crawling-basic?inst=71325257" target="_blank" rel="noopener noreferrer">1. <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">Python and data collection (crawling) basics (Python and web, data understanding basics)</span><br style="box-sizing:inherit" /></a> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/SQL-DB-MYSQL-%ED%8C%8C%EC%9D%B4%EC%8D%AC-%EB%8D%B0%EC%9D%B4%ED%84%B0%EB%B6%84%EC%84%9D?inst=7abfe3b0" target="_blank" rel="noopener noreferrer">2. <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">MySQL and Data Storage/Analysis Basics (SQL Database Basics)</span></a><br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/nosql-%ED%8C%8C%EC%9D%B4%EC%8D%AC-%EB%AA%BD%EA%B3%A0DB-%EC%9E%94%EC%9E%AC%EB%AF%B8%EC%BD%94%EB%94%A9?inst=c98270ed" target="_blank" rel="noopener noreferrer">3. <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">NoSQL(mongodb) Big Data Basics (NoSQL Database Basics)</span></a><br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/%ED%8C%8C%EC%9D%B4%EC%8D%AC-%ED%92%80%EC%8A%A4%ED%83%9D-1?inst=4d5f4fb3" target="_blank" rel="noopener noreferrer"><span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">4. Fastest Full Stack: Python Backend and Web Technology Basics [Full Stack Part 1]</span></a><br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/%ED%94%84%EB%9F%B0%ED%8A%B8%EC%97%94%EB%93%9C-%ED%92%80%EC%8A%A4%ED%83%9D-2?inst=c3f5cbf0" target="_blank" rel="noopener"><span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">5. Solid Front-end Fundamentals for Full Stack: Javascript (Vanilla JS and ES6+) and Latest Web Technologies [Full Stack Part 2]</span></a><br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/course/%EC%84%9C%EB%B2%84%EA%B8%B0%EC%88%A0-%ED%92%80%EC%8A%A4%ED%83%9D-3?inst=b03c6f9f" target="_blank" rel="noopener"><span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#1976d2">6. Docker and the latest server technology for full stack (Linux, nginx, AWS, HTTPS, flask deployment) [Full Stack Part 3]</span></a><br style="box-sizing:inherit" /> 7. Flutter Basics for Full Stack App Development (Full Stack Part 4, scheduled to open in the second half of 2021)<br style="box-sizing:inherit" /> 8. Basic Vue or React Framework for Full Stack (Full Stack Part 5, scheduled for the second half of 2021)<br style="box-sizing:inherit" /><br style="box-sizing:inherit" /> <b style="box-sizing:inherit">As app/web technologies are rapidly changing, we have adjusted our priorities. In order to take the lead in more recent technologies, we will first proceed with flutter, the latest technology that supports both web and apps.</b> </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding-right:0px;padding-bottom:0px;padding-left:0px"> <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#e03e2d">* Full stack course packages are also available at a discounted price. (Discounts will be reduced soon.)<br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/roadmaps/66" target="_blank" rel="noopener noreferrer">[Beginner~Intermediate] The easiest and most up-to-date full-stack roadmap</a> <span style="box-sizing:inherit;color:inherit;font-weight:bold"><a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/roadmaps/49" target="_blank" rel="noopener noreferrer">(shortcut)</a></span></span> </p><p style="box-sizing:inherit;margin-top:2rem;margin-right:0px;margin-left:0px;padding:0.4rem 0rem 0.4rem 1rem;font-size:1.1rem;background-color:#eeeeee"> <span style="box-sizing:inherit;color:inherit;font-weight:bold">Data Analysis/Science Course: The latest tech tree that can bring in the data you want, analyze it, and even make predictions.</span> </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding-right:0px;padding-bottom:0px;padding-left:0px"> They are numbered in order of ripening. </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding-right:0px;padding-bottom:0px;padding-left:0px"> <a style="font-family:sans-serif" href="https://www.inflearn.com/course/python-crawling-basic?inst=71325257" target="_blank" rel="noopener noreferrer">1. <span style="color:#1976d2">Python and data collection (crawling) basics (Python and web, data understanding basics)</span><br /></a> <a style="font-family:sans-serif" href="https://www.inflearn.com/course/crawling-scrapy-selenium?inst=469beff7" target="_blank" rel="noopener noreferrer">2. <span style="color:#1976d2">Conquering Scrapy and Selenium (Currently the most advanced crawling intermediate technology and related IT knowledge)</span><br /></a> <a style="font-family:sans-serif" href="https://www.inflearn.com/course/sql-db-mysql-파이썬-데이터분석?inst=7abfe3b0" target="_blank" rel="noopener noreferrer">3. <span style="color:#1976d2">SQL and Data Storage/Analysis Basics (Data Storage/Analysis)</span><br /></a> <span style="color:#1976d2"><a href="https://www.inflearn.com/course/nosql-파이썬-몽고db-잔재미코딩?inst=c98270ed" target="_blank" rel="noopener">4. NoSQL(mongodb) Big Data Basics (Big Data Storage/Analysis)</a></span><br style="font-family:sans-serif" /> <span style="color:#1976d2"><a href="https://www.inflearn.com/course/파이썬-데이터분석-전처리-판다스-시각화?inst=65936339" target="_blank" rel="noopener">5. First Python Data Analysis (Data Preprocessing and Pandas, Latest Visualization) [Data Science Part 1]</a></span><br style="font-family:sans-serif" /> <a style="font-family:sans-serif" href="https://www.inflearn.com/course/처음-파이썬-머신러닝-입문?inst=8f7d0ec8" target="_blank" rel="noopener"><strong><span style="color:#1976d2">6. Python Machine Learning Bootcamp for Beginners (Easy! Learn concepts/applications with real problems) [Data Science Part 2]</span></strong></a><br style="font-family:sans-serif" /> <span style="color:#1976d2">7. AI Artificial Intelligence Bootcamp (Data Prediction Automation, First Half of 22') [Data Science Part 3]</span> </p><p style="box-sizing:inherit;margin-top:0px;margin-right:0px;margin-left:0px;padding-right:0px;padding-bottom:0px;padding-left:0px"> <span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#e03e2d">* We are also offering our current data science course packages at a discounted price. (The discount rate will be reduced soon.)<br style="box-sizing:inherit" /> <a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/roadmaps/66" target="_blank" rel="noopener noreferrer">[Beginner~Beginner] Learn the basic data analysis techniques for employment easily and thoroughly</a> <span style="box-sizing:inherit;color:inherit;font-weight:bold"><a style="box-sizing:inherit;text-decoration-line:none;cursor:pointer" href="https://www.inflearn.com/roadmaps/66" target="_blank" rel="noopener noreferrer">(Shortcut)</a></span></span> </p><p><span style="box-sizing:inherit;font-weight:inherit;font-style:inherit;color:#e03e2d"> </span></p></div></div></div></div></center>