Web Scraping and API Fundamentals in Python
What you'll learn
- Learn the fundamentals of Web Scraping
- Implement APIs into your applications
- Master working with Beautiful Soup
- Start using requests-html
- Create functioning scrapers
- Familiarize yourself with HTML
- Get the hang of CSS Selectors
- Make HTTP requests
- Understand website cookies
- Explore scraping content locked behind a log-in system
- Limit the rate of requests
- Python 3 and the Anaconda distribution
- Basic Python knowledge
- Curiosity and enthusiasm to learn and practice
Are you tired of manually copying and pasting values in a spreadsheet?
Do you want to learn how to obtain interesting, real-time and even rare information from the internet with a simple script?
Are you eager to acquire a valuable skill to stay ahead of the competition in this data-driven world?
If the answer is yes, then you have come to the right place at the right time!
Welcome to Web Scraping and API Fundamentals in Python!
The definitive course on data collection!
Web Scraping is a technique for obtaining information from web pages or other sources of data, such as APIs, through the use of intelligent automated programs. Web Scraping allows us to gather data from potentially hundreds or thousands of pages with a few lines of code.
From reporting to data science, automating extracting data from the web avoids repetitive work. For example, if you have worked in a serious organization, you certainly know that reporting is a recurring topic. There are daily, weekly, monthly, quarterly, and yearly reports. Whether they aim to organize the website data, transactional data, customer data, or even more easy-going information like the weather forecast – reports are indispensable in the current world. And while sometimes it is the intern’s job to take care of that, very few tasks are more cost-saving than the automation of reports.
When it comes to data science – more and more data comes from external sources, like webpages, downloadable files, and APIs. Knowing how to extract and structure that data quickly is an essential skill that will set you apart in the job market.
Yes, it is time to up your game and learn how you can automate the use of APIs and the extraction of useful info from websites.
In the first part of the course, we start with APIs. APIs are specifically designed to provide data to developers, so they are the first place to check when searching for data. We will learn about GET requests, POST requests and the JSON format.
These concepts are all explored through interesting examples and in a straight-to-the-point manner.
Sometimes, however, the information may not be available through the use of an API, but it is contained on a webpage. What can we do in this scenario? Visit the page and write down the data manually?
Please don’t ever do that!
Certainly, in order to scrape, you’ll need to know a thing or two about web development. That’s why we have also included an optional section that covers the basics of HTML. Consider that a bonus to all the knowledge you will acquire!
We will also explore several scraping projects. We will obtain and structure data about movies from a “Rotten Tomatoes” rank list, examining each step of the process in detail. This will help you develop a feel for what scraping is like in the real world.
We’ll also tackle how to scrape data from many webpages at once, an all-to-common need when it comes to data extraction.
And then it will be your turn to practice what you’ve learned with several projects we'll set out for you.
But there’s even more!
Don’t worry if you are familiar with few or none of these terms… We will start from the basics and build our way to proficiency. Moreover, we are firm believers that practice makes perfect, so this course is not so much on the theory side of things, as it adopts more of a hands-on approach. What’s more, it contains plenty of homework exercises, downloadable files and notebooks, as well as quiz questions and course notes.
We, the 365 Data Science Team are committed to providing only the highest quality content to you – our students. And while we love creating our content in-house, this time we’ve decided to team up with a true industry expert - Andrew Treadway. Andrew is a Senior Data Scientist for the New York Life Insurance Company. He holds a Master’s degree in Computer Science with Machine learning from the Georgia Institute of Technology and is an outstanding professional with more than 7 years of experience in data-related Python programming. He’s also the author of the ‘yahoo_fin’ package, widely used for scraping historical stock price data from Yahoo.
As with all of our courses, you have a 30-day money-back guarantee, if at some point you decide that the training isn’t the best fit for you. So… you’ve got nothing to lose – and everything to gain ?
So, what are you waiting for?
Click the ‘Buy now’ button and let’s start collecting data together!
Who this course is for:
- You should take this course if you want to learn how to use APIs
- This course is for you if you want to learn how to scrape websites
- Anyone who wants to learn how to automate the boring and mundane everyday tasks
- Individuals who are curious and passionate about data
- The course is ideal for beginners to programming who want to learn Beautiful Soup and requests-html
365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 2,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
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5) Blockchain for Business
All of our courses are:
- Real-life tested
By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.
If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur
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