PluralSight – Web Scraping with Python

PluralSight – Web Scraping with Python
English | Tutorial | Size: 1.49 GB

There are times in which you need data but there is no API (application programming interface) to be found. Web scraping is the process of extracting data from web sites via programmatic means. This skill will teach you how to scrape websites for data using Python.
What You Will Learn:
Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.
Prerequisites:
Data Analytics Literacy
Python for Data Analysts
Related Topics:
Data Mining
Feature Engineering
Data Sourcing
A. Beginner
Describe the process of scraping data from the web, explain the legal factors, and scrape data from a web page with BeautifulSoup.
A1. Exploring Web Scraping with Python (Clarke Bishop, 2020)
A2. Scraping Your First Web Page with Python (Janani Ravi, 2019)
B. Intermediate
Scrape data from a web page extract with specific page elements using BeautifulSoup.
B1. Extracting Data from HTML with BeautifulSoup (Janani Ravi, 2019)
B2. Scraping Media from the Web with Python (Allen O’Neill, 2021)
C. Advanced
Create a spider to collect data across multiple pages and scrape a dynamically-rendered web page.
C1. Crawling the Web with Python and Scrapy (Eduardo Freitas, 2019)
C2. Scraping Dynamic Web Pages with Python and Selenium (Pratheerth Padman, 2019)
C3. Advanced Web Scraping Tactics. Python Playbook (Pratheerth Padman, 2020)

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