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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.
[citation needed] It takes its name from the poem Beautiful Soup from Alice's Adventures in Wonderland [5] and is a reference to the term "tag soup" meaning poorly-structured HTML code. [6] Richardson continues to contribute to the project, [ 7 ] which is additionally supported by paid open-source maintainers from the company Tidelift.
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.
jsoup was created in 2009 by Jonathan Hedley. It is distributed it under the MIT License, a permissive free software license similar to the Creative Commons attribution license.
QuickCode (formerly ScraperWiki) was a web-based platform for collaboratively building programs to extract and analyze public (online) data, in a wiki-like fashion.. "Scraper" refers to screen scrapers, programs that extract data from
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.
It allows Java test code to examine returned pages either as text, an XML DOM, or as collections of forms, tables, and links. [1] The goal is to simulate real browsers; namely Chrome, Firefox and Edge. The most common use of HtmlUnit is test automation of web pages, but sometimes it can be used for web scraping, or downloading website content.
A Google search result embedding content taken from a Wikipedia article. Search engines such as Google could be considered a type of scraper site. Search engines gather content from other websites, save it in their own databases, index it and present the scraped content to the search engines' own users.