
About Me
I have hands on experience in web scraping and data extraction, where I have worked extensively with various e commerce websites to collect structured product data. Using tools like BeautifulSoup, Selenium, and Scrapy, I have built scripts to extract key product features such as names, prices, ratings, descriptions, reviews, and other relevant details available on the webpages. I am proficient in handling dynamic content, pagination, and anti scraping mechanisms by managing headers, delays, and proxies. The extracted data is cleaned and transformed into structured formats like CSV or JSON, and often stored in databases such as SQLite or MongoDB for further analysis. My work has supported use cases such as price tracking, product comparison, and review analysis, and I am confident in integrating this data into dashboards or machine learning models for deeper insights.
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