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Introduction to Python DrissionPage: A Hands-On Guide to Building a Flea Market Price Tracker

From Zero to Automated Scraping: Master Web Automation with a Real-World Project

Learn build a powerful web scraping bot with Python and DrissionPage in this hands-on, project based guide.

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About

About

About the Book

This book is a hands-on technical guide to building a practical 'Flea Market Price Tracker' from scratch using `DrissionPage`, a modern automation library for Python.

The goal is to master practical web scraping skills by leveraging the full power of `DrissionPage`, which combines the strengths of Selenium and Requests.

The content provides a systematic walkthrough of a professional development workflow, starting with basic data scraping and progressing to comprehensive multi-page information gathering, performance optimization via `WebPage` and `SessionPage` integration, data persistence with `pandas`, and refactoring code into classes.

The final chapter details how to schedule the completed tool using standard OS features to create an autonomous data collection platform.

By completing this book, readers will acquire the knowledge and techniques not just to write a simple script, but to design and develop efficient, maintainable automation tools.

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Author

About the Author

sahutol

Contents

Table of Contents

    • Introduction - What You’ll Learn in This Book
      • Introduction
      • The Tool You’ll Build
      • Target Audience
      • Why Choose DrissionPage?
      • Conclusion
    • Setting Up the Development Environment
      • Introduction
      • Python Prerequisites
      • Project Folder and Virtual Environment Setup
      • Installing Required Libraries
      • About the Target Site
      • Conclusion
    • First Step - Scraping Product Information
      • Introduction
      • Launching the Browser and Accessing the Page
      • Assuming the HTML Structure of Search Results
      • Fetching Multiple Elements and Looping
      • Conclusion
    • Saving the Scraped Data to CSV
      • Introduction
      • What is Pandas?
      • Creating a DataFrame from a List of Dictionaries
      • Exporting the DataFrame to a CSV File
      • Conclusion
    • Handling Pagination
      • Introduction
      • Assuming the Pagination Structure
      • Clicking the “Next” Button
      • Navigating Pages with a Loop
      • Conclusion
    • Extracting Additional Information from Detail Pages
      • Introduction
      • Assuming the HTML Structure of Detail Pages
      • Implementation Strategy
      • Implementing the Detail Extraction Code
      • Conclusion
    • Performance Tuning - Integrating WebPage and SessionPage
      • Introduction
      • Differences Between WebPage and SessionPage
      • Changing the Implementation Strategy
      • Implementing the High-Performance Code
      • Conclusion
    • Refactoring the Code and Creating a Class
      • Introduction
      • Goals of Refactoring
      • Designing the FleaMarketScraper Class
      • Refactoring into a Class
      • Modifying main.py
      • Conclusion
    • Scheduling and Automation
      • Introduction
      • Preparing for Automation
      • Windows: Task Scheduler
      • macOS / Linux: cron
      • Conclusion
    • Conclusion
      • Introduction
      • Review of What We’ve Learned
      • Ethics and Considerations in Web Scraping
      • Ideas for Future Development
      • Conclusion

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