Built a Selenium-based Python scraper to automate quote collection from a website. The scraper navigates through multiple pages, extracts quote text, author names, and tags, and exports the results to Excel. This project demonstrates browser automation, pagination handling, and dynamic web scraping using Selenium.
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Created a Python scraper that collects smartwatch product information from Daraz, including product name, price, rating, reviews, seller information, discounts, pages and product links. The scraper organizes all extracted data into an Excel spreadsheet, making it useful for price monitoring and market research.
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Developed a Python web scraper to collect job listings from a public job website. The scraper extracts job title, company name, location, salary (when available), posting date, and job link. The collected data is cleaned and exported to Excel for easy analysis. Built using Python, Requests, BeautifulSoup, and Pandas with organized, reusable code.
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Built a reusable scraper capable of extracting data from BooksToScrape, QuotesToScrape, and FakeJobs websites using a clean Python codebase.