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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.
[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.
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.
A screen fragment and a screen-scraping interface (blue box with red arrow) to customize data capture process. Although the use of physical "dumb terminal" IBM 3270s is slowly diminishing, as more and more mainframe applications acquire Web interfaces, some Web applications merely continue to use the technique of screen scraping to capture old screens and transfer the data to modern front-ends.
The latest generation of "visual scrapers" remove the majority of the programming skill needed to be able to program and start a crawl to scrape web data. The visual scraping/crawling method relies on the user "teaching" a piece of crawler technology, which then follows patterns in semi-structured data sources.
Scraper sites come in various forms: Some provide little if any material or information and are intended to obtain user information such as e-mail addresses to be targeted for spam e-mail. Price aggregation and shopping sites access multiple listings of a product and allow a user to rapidly compare the prices.
PyJL compiles/transpiles a subset of Python to "human-readable, maintainable, and high-performance Julia source code". [88] Despite claiming high performance, no tool can claim to do that for arbitrary Python code; i.e. it's known not possible to compile to a faster language or machine code. Unless semantics of Python are changed, but in many ...
XML and JSON web APIs saw widespread commercial adoption beginning in 2000 and continuing as of 2021. The web API is now the most common meaning of the term API. [2] The Semantic Web proposed by Tim Berners-Lee in 2001 included "semantic APIs" that recast the API as an open, distributed data interface rather than a software behavior interface. [18]