Scarping: meaning, definitions and examples

๐Ÿ•ท๏ธ
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scarping

 

[ หˆskษ›r.pษชล‹ ]

Verb / Noun
Context #1 | Verb

data extraction

Scraping refers to the automated process of extracting data from websites. It is commonly used to gather data for various purposes such as research, analysis, and monitoring information from online sources. Web scraping involves making requests to a web server and then parsing the HTML or other formats to retrieve the desired data. It can be performed using various programming languages and tools specifically designed for scraping tasks.

Synonyms

content extraction, data harvesting, web crawling.

Examples of usage

  • I was scraping data from the e-commerce site to analyze pricing trends.
  • Web developers often use scraping to collect data for their applications.
  • She built a script for scraping job listings from multiple websites.
Context #2 | Noun

website data

Scraping is a method used for obtaining data from websites through automated scripts or software. It involves fetching the web pages and extracting necessary information in a structured format. Scraping is frequently used in industries such as marketing, finance, and journalism to gather large volumes of data efficiently. Because scraping can sometimes infringe on copyright or website usage policies, it is important for users to be aware of legal implications.

Synonyms

data mining, information extraction, web scraping.

Examples of usage

  • The scraping of social media data has led to privacy concerns.
  • Scraping techniques can help businesses stay competitive by monitoring market trends.
  • Ethical scraping practices are vital in maintaining data integrity.

Translations

Translations of the word "scarping" in other languages:

๐Ÿ‡ต๐Ÿ‡น escorregamento

๐Ÿ‡ฎ๐Ÿ‡ณ เคธเฅเค•เคพเคฐเฅเคชเคฟเค‚เค—

๐Ÿ‡ฉ๐Ÿ‡ช Abtragung

๐Ÿ‡ฎ๐Ÿ‡ฉ pengikisan

๐Ÿ‡บ๐Ÿ‡ฆ ัะบะฐั€ะฟัƒะฒะฐะฝะฝั

๐Ÿ‡ต๐Ÿ‡ฑ osuwanie

๐Ÿ‡ฏ๐Ÿ‡ต ๆตธ้ฃŸ

๐Ÿ‡ซ๐Ÿ‡ท รฉrosion

๐Ÿ‡ช๐Ÿ‡ธ erosiรณn

๐Ÿ‡น๐Ÿ‡ท erozyon

๐Ÿ‡ฐ๐Ÿ‡ท ์นจ์‹

๐Ÿ‡ธ๐Ÿ‡ฆ ุชุขูƒู„

๐Ÿ‡จ๐Ÿ‡ฟ eroze

๐Ÿ‡ธ๐Ÿ‡ฐ erรณzia

๐Ÿ‡จ๐Ÿ‡ณ ไพต่š€

๐Ÿ‡ธ๐Ÿ‡ฎ erozija

๐Ÿ‡ฎ๐Ÿ‡ธ rof

๐Ÿ‡ฐ๐Ÿ‡ฟ ะฑาฑะทั‹ะปัƒ

๐Ÿ‡ฌ๐Ÿ‡ช แƒ’แƒแƒคแƒฃแƒญแƒ”แƒ‘แƒ

๐Ÿ‡ฆ๐Ÿ‡ฟ eroziya

๐Ÿ‡ฒ๐Ÿ‡ฝ erosiรณn

Etymology

The term 'scraping' draws its roots from the verb 'scrape,' which originally means to remove a thin layer or unwanted material from a surface. This word has been in use since Middle English, derived from the Old Norse word 'skrapa,' meaning 'to scrape off or to erase.' With the advent of the internet in the late 20th century, the term 'scraping' evolved to encompass the extraction of data from websites. Since data is often presented in a format that requires processing, the concept of scraping became crucial for technology and data analysis sectors. The rise in demand for data-driven decisions further cemented scraping's relevance, leading to the development of various tools and frameworks designed to perform scraping tasks more efficiently. Today, scraping is an integral part of data science, often used by companies and researchers alike to harness information for diverse applications.