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Webcraping
Web scraping is the process of using robots to extract content and data from a website. Unlike screen scraping, which only copies the pixels visible on the screen, web scraping extracts the underlying HTML code and the data stored with it in the database. The scraper can then copy all the website content elsewhere.
Resources:-
https://greenrecord.co.uk/is-web-scraping-free/
https://twitgoo.com/smart-ways-to-use-web-scrapers/
https://www.reviewsed.com/serpapi-alternative-zenrows/
https://digiperform.com/2-easy-ways-to-beat-anti-scraping-techniques/
https://nerdbot.com/2021/05/06/how-residential-proxies-can-help-businesses-with-web-scraping/
https://www.allblogthings.com/2022/05/how-proxies-are-important-for-web-scraping-all-you-need-to-know.html
https://www.techimply.com/blog/how-does-web-scraping-work
https://gbhackers.com/web-scraping-proxies-are-winning-over-traditional-proxies/
https://cybersecuritynews.com/effective-methods-to-bypass-akamai/
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https://nerdbot.com/2021/05/06/how-residential-proxies-can-help-businesses-with-web-scraping/
Refer content for web scraping.
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Web Scraping
What is Web Scraping?
Web scraping, also known as web harvesting or web data extraction, is the process of extracting data from websites and converting it into a structured format for analysis. It involves automated retrieval of information from web pages using software tools known as web scrapers or bots.
How Does Web Scraping Work?
Web scraping typically involves the following steps:
Sending HTTP Requests: The web scraper sends HTTP requests to the target website, simulating a human user's interaction with the site.
Parsing HTML: The scraper retrieves the HTML content of the web pages and parses it to extract the desired data elements, such as text, images, links, and more.
Data Extraction: Using techniques like XPath, CSS selectors, or regular expressions, the scraper identifies and extracts specific data points from the HTML structure.
Data Processing: Once the data is extracted, it is processed and formatted into a structured format, such as CSV, JSON, or Excel, for further analysis.
Storage or Analysis: Finally, the scraped data can be stored in a database or used for analysis, reporting, visualization, or other purposes.
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