Project Request: Automated Registration Bot
1. Project Overview
Develop a standalone Windows desktop application to automate account registration on a variable list of ~10,000 websites using user-defined data. The tool must navigate from home domains to registration pages, adapt to diverse form structures, and execute registrations based on user-set parameters (order, speed, schedule).
2. Objective
Fully automate the account registration process (navigation, form input, submission) for ~10,000 sites. Completion is defined by successful form submission (e.g., no errors after submission). Support diverse forms for automated, manual-intervention-free registration.
3. Feature Requirements
Automated Registration Flow: Input predefined data into forms; submit. Navigate from provided home domains to registration pages (e.g., "Register" links), configurable per site. Detect successful form submission.
Flexible Input Data: Automatically recognize data fields from Excel/CSV header rows. Map these to website form fields (name, id, XPath) via flexible, per-site configurations.
Form Field Handling: Accommodate diverse form layouts and custom field combinations per site. Manage specific field identification methods (via config files).
Website List Management: Import a variable list of ~10,000 websites from CSV/Excel, including 'Site Name' and 'URL'.
Custom Speed: Set custom registration speeds (e.g., 10-30 secs/reg, 10-100/hr). Support smart delays, optional proxy.
Scheduling: Set tool start/stop times.
Expandable Sites: Allow easy addition of new websites; configurable navigation/form settings for future expansion.
Robustness/Error Handling: For ~10,000 sites: log errors (timeouts, missing elements, pop-ups). Allow continuation/skipping.
Local GUI App: Run as a standalone Windows desktop application (not cloud-based). Feature a clean, intuitive GUI. Ensure easy installation and code-free operation.
4. Development Environment / Tech Stack
Language: Python (3.x recommended)
Web Automation: Selenium (ChromeDriver via WebDriver-manager)
GUI: Tkinter (or developer-proposed)
Data: Pandas (Excel/CSV reading)
5. Deliverables
Complete source code.
Executable application file (installer or portable format).
Concise setup guide.
Basic usage guide.
Sample site config file(s) with mapping instructions.
6. Other Notes
An existing Python codebase (deepseek_python_fixed.py) can be shared, but development from scratch is welcome.
Prioritize maintainability and ease of new site addition due to changing website structures.