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This project involves extracting data from websites using Python. It utilizes libraries like BeautifulSoup and to collect, parse, and store structured information for analysis. The script automates data retrieval for various use cases such as market research, price monitoring, and data aggregation.

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JOULifestyle/python-WebScraping

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Web Scraping Project

๐Ÿ“Œ Overview This project is designed to extract data from websites using Python. It leverages web scraping techniques to collect, parse, and store information from dynamic and static web pages.

๐Ÿš€ Features Extract structured data from web pages Handle both static and dynamic content Use BeautifulSoup for HTML parsing Export data to CSV, JSON, or a database ๐Ÿ› ๏ธ Technologies Used Python BeautifulSoup - For HTML parsing Requests - For making HTTP requests Pandas - For data processing and exporting ๐Ÿ“‚ Installation Clone the repository cd python-webscraping Install dependencies: pip install -r requirements.txt Run the script: python scraper.py ๐Ÿ“Œ Usage Update the target URL in scraper.py Define the HTML elements to extract Run the script to scrape data Export the results to a file โš ๏ธ Disclaimer Ensure you comply with the websiteโ€™s robots.txt policy and terms of service before scraping data.

๐Ÿ“ž Contact For questions or contributions, feel free to reach out!

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This project involves extracting data from websites using Python. It utilizes libraries like BeautifulSoup and to collect, parse, and store structured information for analysis. The script automates data retrieval for various use cases such as market research, price monitoring, and data aggregation.

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