| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Web Scraping |
3 Months |
60 |
36,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Web Scraping Training Certification Course Outline
Web scraping means collecting information from websites. It helps us get useful data like text, images, and numbers. We use simple tools and coding to take data in an easy way. This course will teach step by step how to scrape and use data.
Module 1: Introduction to Web Scraping
Web scraping means collecting data from websites.
It is used to gather useful information.
We use simple tools and Python code for scraping.
It makes searching and learning easy.
Module 2: Basics of Websites
Websites are made of pages.
Each page has text, pictures, and links.
Pages are written in HTML language.
We need to understand this to scrape.
Module 3: Tools for Web Scraping
Python is the main tool for scraping.
BeautifulSoup is a simple Python library.
Requests library helps to get pages.
Tools make scraping easy and fast.
Module 4: Understanding HTML Tags
HTML is like building blocks of a page.
Tags show where text or image is.
<p>is for paragraph,<img>is for image.Learning tags helps us pick data.
Module 5: Installing Python & Libraries
First install Python on your computer.
Then add libraries like BeautifulSoup.
Install by writing commands in terminal.
Now you are ready to start scraping.
Module 6: Fetching a Webpage
Use the Requests library to open a page.
It gives us the page’s code.
We can then read it in Python.
This is the first step of scraping.
Module 7: Parsing the Page with BeautifulSoup
BeautifulSoup reads the HTML page.
It helps us find tags inside the page.
We can pick headings, text, or images.
It is like searching with a magnifying glass.
Module 8: Extracting Text Data
Text can be inside paragraphs.
We search for
<p>or<h1>tags.We collect only useful text.
This text can be saved in a file.
Module 9: Extracting Images & Links
Images are found in
<img>tags.Links are inside
<a>tags.We can collect all links from a page.
Pictures and links can be saved too.
Module 10: Saving Data
Collected data must be stored safely.
Save in CSV file like a table.
Save in JSON for coding use.
Saving makes data easy to use later.
Module 11: Handling Errors
Sometimes a page may not open.
Errors happen if internet is slow.
We write code to try again.
Handling errors keeps scraping smooth.
Module 12: Ethics & Safety in Scraping
Always respect website rules.
Never scrape too much at once.
Use data for learning, not harm.
Be a responsible web scraper.
Module 13: Certification Module
Build a small web scraper yourself.
Example: collect book titles or images.
Submit your project for review.
Get your Web Scraping Certificate.
Experience and Inspiring Trainers:
Real-time Practice and Projects:
Prerequisites for Web Scraping Course:
- You should know basic computer use. Like how to open files, folders and software. It helps you to follow the lessons easily.
- You should know how to use the internet. Like searching in Google and opening websites. This is important because scraping is done from sites.
- You should know very simple English. Because most websites and tools use English words. This will make learning much easier.
- You should know a little about coding. Basic knowledge of Python is very helpful. It is the main language for web scraping.
- You should know how to copy and paste. Because many steps need text or code copy. It saves time and avoids mistakes.
- You should know what a browser is. Like Chrome, Firefox, or Edge on your computer. Web scraping is done from these browsers.
- You should have patience and interest. Sometimes scraping takes practice and effort. With patience, you will learn it well.
No prior experience in Web Scraping is required, but having these basics will help in grasping concepts faster.
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