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  2. A beginner’s guide to web scraping with Python and Scrapy - AOL

    www.aol.com/beginner-guide-scraping-python...

    At this point, you have Scrapy, but you still need to create a new web scraping project, and for that scrapy provides us with a command line that does the work for us. A beginner’s guide to web ...

  3. Scrapy - Wikipedia

    en.wikipedia.org/wiki/Scrapy

    Scrapy (/ ˈ s k r eɪ p aɪ / [2] SKRAY-peye) is a free and open-source web-crawling framework written in Python. Originally designed for web scraping, it can also be used to extract data using APIs or as a general-purpose web crawler. [3] It is currently maintained by Zyte (formerly Scrapinghub), a web-scraping development and services company.

  4. Beautiful Soup (HTML parser) - Wikipedia

    en.wikipedia.org/wiki/Beautiful_Soup_(HTML_parser)

    Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]

  5. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

  6. Search engine scraping - Wikipedia

    en.wikipedia.org/wiki/Search_engine_scraping

    This is a specific form of screen scraping or web scraping dedicated to search engines only. Most commonly larger search engine optimization (SEO) providers depend on regularly scraping keywords from search engines to monitor the competitive position of their customers' websites for relevant keywords or their indexing status.

  7. Comparison of HTML parsers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_HTML_parsers

    HTML parsers are software for automated Hypertext Markup Language (HTML) parsing.They have two main purposes: HTML traversal: offer an interface for programmers to easily access and modify the "HTML string code".

  8. Latino men voted for Trump in large numbers. Here’s what they ...

    www.aol.com/news/latino-men-voted-trump-large...

    Latino men vaulted into the spotlight with their greater-than-expected support for President-elect Donald Trump.Soon, they’ll be looking for returns on their votes. U.S. Hispanics, who are ...

  9. Category:Web scraping - Wikipedia

    en.wikipedia.org/wiki/Category:Web_scraping

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