feat: screenshots and emojis added

README.md

@@ -3,7 +3,7 @@
 
 The Scraping Interface project is a cross-platform desktop application developed using Python and the PyQt5 library. It provides a user-friendly interface for web scraping, allowing users to extract information from web pages easily.
 
-## Features
+## ✨ Features
 
 - **Web Scraping**: Extract online data using a browser-like interface.
 - **Dynamic Browsing**: Browse the web with Chromium and perform standard actions like navigation, page reloads and searching.
@@ -13,12 +13,10 @@ The Scraping Interface project is a cross-platform desktop application developed
 - **Data Export**: Save scraped data in popular formats such as Excel, CSV, JSON, or XML.
 - **Template Management**: Save and load scraping configurations for reuse, allowing quick access to previously configured selections.
 - **Authentication Support**: Securely store and use encrypted login credentials to access authenticated web pages.
-- **CAPTCHA Handling**: Use automatic solutions to handle CAPTCHA-protected pages for uninterrupted data extraction.
+- **CAPTCHA Handling**: Solutions to handle CAPTCHA-protected pages for uninterrupted data extraction.
 - **Process Monitoring**: Track and manage scraping processes with progress indicators about the ongoing tasks.
 
-## Installation
-
-### From Source
+## 🚀 Installation
 
 To install and run the Scraping Interface application from source, follow these steps:
 
@@ -40,20 +38,27 @@ pip install -r requirements.txt
 python main.py
 ```
 
-## Usage
+## 🛠️ Usage
 
 1. Launch the application, and you will be presented with a user-friendly interface with four tabs: Home, Browser, Processes and Settings.
+![Home](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/7a0e93e6-335c-4f8c-9aea-4eed7f896819)
 2. Use the browser tab to navigate, search and interact with sites.
+![Browser](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/7491e89c-048e-492d-a42e-703d147a2edc)
 3. When you're ready to extract data, navigate to the desired web page and click the "Scrape" button. The program will display the extracted data in a table for preview.
+![BrowserScraping](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/a0678460-5e65-4707-9339-2f03bf87d2df)
 4. Customize your selection using generalized XPath expressions and modify the table as needed.
+![BrowserSelection](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/6c82cca4-4583-4baa-b6be-b82d5e141282)
 5. Configure pagination settings, save templates for future use, and choose the desired data export format in the respective process.
+![BrowserPagination](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/7511f2c9-92a6-40dc-91c2-79ef899a6be3)
 6. Monitor the scraping processes in the Processes tab, and manage them by starting, stopping, or opening the output files.
+![Processes](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/c8519d47-5f04-4c74-95f6-067c8b0748d4)
 7. Adjust application settings, including browser preferences and language management in the Settings tab.
+![Settings](https://github.com/gonzalopezgil/scraping-interface/assets/74659017/d32409d6-2b55-4f62-a6e6-80a79c38f448)
 
-## Contributing
+## :octocat: Contributing
 
 Contributions to the Scraping Interface project are welcome! If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request.
 
-## License
+## 📃 License
 
 This project is licensed under the [MIT License](https://opensource.org/license/mit/). Feel free to use, modify, and distribute the code.