Mastering Web Scraping Using Python: From Beginner to Advanced/

Scraping Educative’s Courses Information

Scraping Educative’s Courses Information

Description

In this project, you will develop a comprehensive web scraping solution to extract data from the Educative platform, utilizing traditional and API-based scraping techniques.

Requirements

  1. Familiarity with Python and web scraping concepts

  2. Knowledge of the Scrapy framework and its components (spiders, selectors, pipelines)

  3. Understanding of Selenium for automating browser interactions

  4. Ability to analyze network traffic and identify API endpoints

Action Plan

Part 1: Scraping with Scrapy and Selenium

  1. Investigate the website and analyze how to scrape it.

  2. Set up a Scrapy project and create spiders to crawl the Educative website.

  3. Integrate Selenium with Scrapy to handle dynamic web pages and JavaScript-rendered content.

  4. Implement advanced selectors to extract relevant course details from HTML pages.

  5. Develop efficient pipelines to process and store the scraped data.

Part 2: API-based Scraping

  1. Investigate network traffic using developer tools to identify API endpoints used by Educative.

  2. Analyze the API structure and response format to understand the data organization.

  3. Develop Python scripts to send API requests and retrieve course data.

By the end, you will have a fully functional scraper capable of autonomously gathering up-to-date course details from Educative, utilizing both traditional scraping methods and API-based approaches. This hands-on experience will elevate your skills and equip you with the knowledge to tackle complex web scraping challenges in the future.