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Www.sciedu.ca/airArtificial Intelligence Research, 2013, Vol. 2, No. 1ORIGINAL RESEARCHExploiting web scraping in a collaborative filtering based approach to web advertising Elisa Vargiu1, 2, Miro
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First, identify the website you want to scrape data from.
02
Analyze the website structure and determine the data elements you need to extract.
03
Choose a programming language or a web scraping tool to implement your scraping solution.
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Write code or configure your web scraping tool to send HTTP requests to the target website and retrieve the HTML content.
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Use HTML parser libraries or built-in functions to extract the desired data elements from the HTML structure.
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Clean and transform the extracted data into a usable format, such as CSV or JSON.
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Handle pagination and navigate through multiple pages if required.
08
Be mindful of the website's terms of service and ensure your scraping activities are legal and ethical.
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Monitor and maintain your web scraping solution to ensure it continues to function properly.
10
Regularly update your code or tool to handle any changes in the target website's structure.
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Web scraping is extracting data from websites using automated tools or bots for various purposes such as gathering information, monitoring changes, or analyzing trends.
Any individual or organization that engages in web scraping activities for commercial use or data collection purposes may be required to file.
Filing for web scraping activities may involve providing details of the websites being scraped, the frequency of scraping, the type of data being extracted, and the purpose of the scraping.
The purpose of exploiting web scraping is to collect data from websites in an automated manner to gain insights, track changes, or extract valuable information for analysis.
Information that must be reported may include the websites being scraped, the frequency and volume of data extraction, the tools or bots used, and the intended use of the scraped data.
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