Python Web Scrapper

Responsibilities: Develop Python scripts for various networking tasks and web automation. Implement and manage HTTP proxies for web scraping and data extraction purposes. Utilize networking and internet protocols, including HTTP/S, to facilitate data transmission. Work with web browsers to automate tasks and interact with web applications. Use automation browser libraries such as Selenium and Playwright for web scraping and testing. Employ libraries like BeautifulSoup and LXML for data extraction from web pages. Utilize Pandas and NumPy for data cleaning, manipulation, and analysis. Implement serverless computing solutions for scalable and efficient data processing. Containerized applications using Docker for easy deployment and management. Utilize Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, and Cloud Functions for data storage, processing, and analysis. Requirements: Proficiency in Python programming language. Strong understanding of networking concepts and internet protocols. Experience with HTTP proxies and HTTP/S protocols. Familiarity with web browsers and automation browser libraries (Selenium, Playwright). Knowledge of data extraction libraries such as BeautifulSoup and LXML Experience in data cleaning and manipulation using Pandas and NumPy Familiarity with serverless computing concepts and implementation. Experience with Docker for containerization. Familiarity with GCP services like BigQuery, Cloud Storage, and Cloud Functions is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities.