
Install and set up Jupyter Notebook, requests, and pandas to begin web scraping with Python. Learn how to launch notebooks, create a session, and run basic imports for data handling.
Learn how to scrape a car dealer site using Python, Beautiful Soup, and requests in a Jupyter notebook, extracting name, mileage, price, reviews, and the review count from vehicle cards.
Learn to extract the first car's name, mileage, rating, rating count, price, and dealer name from search results using html element selectors, text extraction, and basic verification.
Learn to scrape all car data from the first dealer page by looping through 20 results, collecting name, mileage, dealer, rating, rating count, and price, then exporting to Excel.
Demonstrates scraping car dealer listings across multiple pages with Beautiful Soup, building dynamic page URLs, iterating through pages, collecting results into a data frame, and exporting to Excel.
In this short course we will scrape data from a car dealer website, using Beautiful Soup.
Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files.
The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.
After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.
What you’ll learn
Web Scraping
Beautiful Soup
Data Extraction
Web Scraping for Data Science
Data Mining
Data Scraping & Data Cleaning
Are there any course requirements or prerequisites?
Basic understanding of Python Programming
Who this course is for:
Everybody who is interested in Web Scraping, for example Data Scientists
Professionals who want to create their own dataset without being dependent on some else
Disclaimer : I teach web scraping as a tutor for educational purposes. That's it.
The first rule of scraping the web is: do not harm a certain website. The second rule of web crawling is: do NOT harm a certain website.