Learn to scrape any website with R
Web scraping with R: Learn to extract data directly from websites for analysis and insights. Perfect for data science & research.
Course Content
Learn to scrape any website with R is an intermediate-level Udemy course taught by Mikkel Freltoft Krogsholm. It runs 2h 47m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 75 reviews, with 349 students enrolled. It is a paid course, first published August 2020.
Unlock the power of web data! This course equips you with the skills to scrape data from the internet and transform it into valuable insights.
You'll master the fundamentals of web scraping, learning how to identify and target specific elements using HTML tags, classes, and IDs. We'll explore two powerful R packages for efficient data extraction: Rvest and Selenium.
Learn to scrape both server-side and client-side rendered pages, ensuring you can access data from a wide variety of websites. Plus, discover how to retrieve data directly from JSON APIs, streamlining your data acquisition process.
This course is perfect if you want to:
- Collect text data from the internet for Natural Language Processing (NLP) projects.
- Gather numerical data from websites for compelling data visualizations.
- Extract tables of data to enrich your machine learning models.
- Acquire any type of data available online.
By the end of this course, you'll be able to:
- Extract data from structured tables found on the web.
- Collect text data from websites (such as reviews) and organize it into a clean, tidy data set.
- Collect a diverse set of data points (like product information) from websites and structure them into a tidy data set.
- Scrape structured data from APIs, ready for immediate analysis.
- Scrape even the most challenging websites to obtain the data you need.
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