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Web Scraping Tutorial

Web Scraping Tutorial

A practical handbook for learning web scraping and extracting data from websites programmatically. This guide covers the fundamentals of web scraping, working with HTML structures, handling requests, and parsing data using Python-based tools. It helps learners collect and use web data responsibly and effectively.

3 Modules

8 Lessons

English

0 Hr

Reading Plan

MODULE 1

Getting Started

3 mins

What is Web Scraping?

1 min

Introduction to requests Module

1 min

What is BeautifulSoup Module?

1 min

MODULE 2

Intermediate

3 mins

Exploring BeautifulSoup Methods

1 min

Searching Tags with BeautifulSoup

1 min

Scraping Website Data

1 min

MODULE 3

Advanced

2 mins

Writing data to a File

1 min

Scraping Multiple URLs together

1 min

Contributors

Lukesh

Web Scraping Tutorial

This handbook introduces web scraping step by step, starting with how websites deliver content. You’ll learn how to send requests, parse HTML, and extract meaningful data. The focus stays on practical examples and best practices, including handling errors and respecting website rules.

Why This Handbook Matters

Web scraping enables data collection when APIs are unavailable. Learning web scraping helps developers and analysts gather real-world data for research, automation, and analysis while understanding ethical and technical boundaries.

Ideal Learners for This Handbook

This handbook is ideal for Python learners interested in data extraction, students exploring data analysis, and developers automating data collection tasks. It’s also useful for anyone working with publicly available web data.

Prerequisites

This course is suitable for:

Basic understanding of Python programming
Familiarity with HTML structure
Knowledge of how websites work at a basic level
Comfort using a text editor and command line

Run & Test your Code with our very own IDE that supports 16 languages

Open IDE

3 Modules

8 Lessons

English

0 Hr

Contributors

Lukesh

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