Web Scraping, API ,Beautiful Soup and Pandas using Python
What you’ll learn
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Scraping of website using API, Beautiful Soup and Pandas
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Learn about structure of Web pages and workflow of Scraping
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Using Python for structuring data and learning to use Jupiter notebook
Requirements
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Basics of Python and HTML
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Installation of Python and Jupiter notebook
Description
Scrape your first web page using Python API ,Beautiful soup and structure the data using Pandas
API Python:
- This section help you understand the working on API and how to implement the same using Python.
- Here we will learn how to get and post the request using API and implement the same.
- Will create a simple currency conversion calculator using JSON.
- We will also cover API for website which we need to sign in. We will be using the API keys and ID to login and fetch the details.
- We will explain how to structure and export the data in CSV using Pandas.
Web Scraping:
- This Section helps you to learn Scraping the data and storing the data in our desired Format.
- Here we will have the data scraped and use parsing of data and store it in Pandas for reference.
- Helps in Understanding the structure of HTML and Javascript file to parse the data.
- 2 Projects to Scrape the data and parse them as our wish.
Beautiful Soup:
- It is easy to learn and master. for example, if we want to extract all the links from the webpage
- It has good comprehensive documentation which helps us to learn the things quickly.
- It has good community support to figure out the issues that arise while we are working with this library.
Who this course is for:
- Beginners of Python who aspire to learn about web scraping
- People aspiring to become Data scientist
Sales Page: https://www.udemy.com/course/webscraping-using-api-beautiful-soup-and-pandas