Project Title: Large-Scale Course Data Scraping from Udemy, Coursera, and YouTube Project Overview: I am looking for an experienced data scraping specialist who can collect a large dataset of online courses and tutorials from platforms such as Udemy, Coursera, and YouTube. The dataset should include both technical and non-technical tutorials. The objective is to build a structured dataset that can be used for research and analytics purposes. Project Requirements: The freelancer will scrape approximately 200,000 course/tutorial records from the following platforms: - Udemy - Coursera - YouTube The collected dataset should contain the following information for each record: 1. Course / Tutorial Title 2. Course URL / Video URL 3. Platform Name (Udemy / Coursera / YouTube) 4. Category (Technical or Non-Technical) 5. Paid or Free Indicator Technical Expectations: - Data scraping can be performed using tools such as Python, BeautifulSoup, Selenium, Scrapy, or other efficient scraping frameworks. - The freelancer must handle pagination, dynamic loading, and scrolling where required. - Duplicate entries should be avoided. - The final dataset should be clean and well-structured. Output Format: The final deliverable should be provided in one of the following formats: - CSV - Excel - JSON The dataset must contain approximately 200,000 unique entries. Timeline: The project should be completed within 2 days from the start date. Additional Notes: - Data accuracy and proper formatting are very important. - The freelancer should ensure that the scraping process is efficient and capable of handling large-scale data extraction. Skills Required: - Web Scraping - Python - Selenium / BeautifulSoup / Scrapy - Data Cleaning & Structuring - Handling Large Datasets