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  1. Copilot Answer
    1

    Web scraping is a technique used to extract data from websites. Python is a popular language for web scraping due to its simplicity and the availability of powerful libraries. Here are some notable web scraping projects and frameworks in Python:

    Scrapy

    Scrapy is a fast, high-level web crawling and scraping framework for Python. It is designed for large-scale web scraping projects and provides a robust and flexible way to extract data from websites. Scrapy allows you to define how to follow links and extract data from pages using a spider.

    import scrapy

    class QuotesSpider(scrapy.Spider):
    name = "quotes"
    start_urls = [
    'http://quotes.toscrape.com/page/1/',
    ]

    def parse(self, response):
    for quote in response.css('div.quote'):
    yield {
    'text': quote.css('span.text::text').get(),
    'author': quote.css('span small::text').get(),
    'tags': quote.css('div.tags a.tag::text').getall(),
    }

    next_page = response.css('li.next a::attr(href)').get()
    if next_page is not None:
    yield response.follow(next_page, self.parse)

    SeleniumBase

    SeleniumBase is a Python library for web automation and testing. It provides APIs for web scraping and bypassing bot detection mechanisms. SeleniumBase is built on top of Selenium and offers additional features like Cloudflare bypass and anti-detection.

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