Entry-Level Specialist | Expertise in Data Scraping, Web Crawling, SaaS Development, Database Management, and API Integration
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This Python-based automation script is designed to streamline the process of handling large volumes of user accounts that require two-factor authentication (2FA). It automates the launching of browser sessions through a configured proxy, inputs 2FA codes retrieved from a structured logs file, and organizes account data by separating used entries from active ones. The script supports full browser automation using Firefox, with proxy authentication handled programmatically. It enables seamless scaling by supporting proxy chaining and allows for easy rotation of accounts. This is particularly useful for developers or teams managing high volumes of login tasks, testing user workflows, or simulating real-user sessions across different environments. By combining automation tools like `pyautogui` and `subprocess`, the script ensures consistent performance without manual input, making it an efficient solution for bulk operations.
Scraping cookies in JSON format is an efficient way to collect and store crucial data like session details, authentication tokens, and user preferences from websites. This data is essential for automating tasks such as logging in, tracking sessions, and monitoring user behavior. By capturing cookies in JSON, developers can easily manipulate the data across multiple sessions or applications. This technique is especially useful for mass uploading content or managing large-scale traffic engagement, as it enables seamless automation and scaling of processes without manual input.
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