I am an experienced web scraping professional with extensive expertise in Python and tools like Beautiful Soup, Scrapy, and Selenium. I am confident in my ability to efficiently collect the required financial URLs for 836 stocks from Moneycontrol. By automating the scraping process, I will extract accurate data for balance sheets, income statements, cash flow statements, and other specified financial details, ensuring they are aligned with the April 2024 timeline. Each URL will be categorized as "Consolidated" or "Individual," depending on data availability, to provide you with clear and structured results.
The scraping process will involve dynamic validation, ensuring the script checks data availability under "Consolidated" first and falls back to "Individual" if necessary. I will also format the output into a clean and organized Excel sheet, with columns for each required URL and the corresponding type, making the data easy to interpret and use. My focus will be on accuracy and efficiency, ensuring you get the best results within your timeline.
I understand the importance of precision and timeliness for this project and am ready to start immediately. With my proven expertise in web scraping and data organization, I am confident that I can deliver a robust and reliable solution for your data needs. Let’s connect to discuss the specifics further and take the first step toward completing this project successfully.
Best regards,
Ahmad