Scarping: meaning, definitions and examples
๐ท๏ธ
scarping
[ หskษr.pษชล ]
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.
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:
๐ต๐น escorregamento
๐ฎ๐ณ เคธเฅเคเคพเคฐเฅเคชเคฟเคเค
๐ฉ๐ช Abtragung
๐ฎ๐ฉ pengikisan
๐บ๐ฆ ัะบะฐัะฟัะฒะฐะฝะฝั
๐ต๐ฑ osuwanie
๐ฏ๐ต ๆตธ้ฃ
๐ซ๐ท รฉrosion
๐ช๐ธ erosiรณn
๐น๐ท erozyon
๐ฐ๐ท ์นจ์
๐ธ๐ฆ ุชุขูู
๐จ๐ฟ eroze
๐ธ๐ฐ erรณzia
๐จ๐ณ ไพต่
๐ธ๐ฎ erozija
๐ฎ๐ธ rof
๐ฐ๐ฟ ะฑาฑะทัะปั
๐ฌ๐ช แแแคแฃแญแแแ
๐ฆ๐ฟ eroziya
๐ฒ๐ฝ 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.