Introduction

Welcome to the first module in this series on data scraping without coding. This module focuses on extracting data from web platforms and social media using simple graphical tools, without requiring you to write a single line of code.

Objectives

By the end, you will be able to:

1. Understand the basic concepts of data scraping.
2. Identify data sources available online, such as social networks and websites.
3. Use graphical tools to scrape data from those sources.

Structure

This module is organized into several sections:

• Section 1: overview of no-code data scraping tools.
• Section 2: practical data scraping from online platforms.
• Section 3: interacting with APIs.

The analysis of the extracted data will be covered in the second module of this course. Here, we focus only on data extraction.

Prerequisites

No technical prerequisites are required to follow this module. All the tools we use are suitable for users without programming experience.

First Concepts

Before using the tools, it is important to understand the basics of data scraping, including:

• Data sources: platforms such as Facebook, Twitter, YouTube, and websites in general provide a large amount of usable data.
• The ethics of data scraping: it is essential to respect privacy and data-use policies when collecting information online.

What You Will Learn

In the next sections, you will be guided step by step through how to access, scrape, and analyze data legally and ethically.