Python Data Scraping

KELAS DATA SCRAPING

Kampus Remote Worker Indonesia | 2024

Introduction

Web scraping is the process of automatically extracting information from websites. When you visit a website, you see text, images, links, and other content. A web scraper takes that same information but collects it in a structured way so that it can be used for various purposes, such as data analysis, research, or automation.

print("Welcome Data Scraper!")

Where Web Scraping is Valuable

• Price Monitoring: Businesses track competitor prices on e-commerce websites to stay competitive.
• Market Research: Researchers collect data from websites for analysis, like tracking social media trends or customer reviews.
• Job Listings: Companies or individuals scrape job portals to find and analyze job postings.
• News Aggregation: Websites scrape news from different sources to create curated feeds.
• Content Gathering: Websites or apps collect reviews, comments, and other user-generated content for analysis.

Web Scraping as a First Step

If you're considering a career in web scraping, you're entering a field with strong growth opportunities.

1. Data Engineer
2. Data Scientist
3. Automation Developer
4. Backend Developer

Before Start

Before starting with web scraping, few things to understand:

1. Legal and Ethical Considerations: always check robot.txt
2. Basic Programming Knowledge:
   • HTML/CSS
   • Git and Github
   • Python Programming
3. Patience and Problem Solving

Class Activity

Open Upwork and try to find a web scraping job post and identify what skills needed!

Learn More

We've provided you with all the essential materials, and if you finish them sooner, we'll guide you into even deeper topics! Challenge yourself and unlock more advanced learning as you go!

Thank you

Any Question?

Kampus Remote Worker Indonesia | 2024