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2. Data scraping - Wikipedia

   en.wikipedia.org/wiki/Data_scraping

   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.

3. OutWit Hub - Wikipedia

   en.wikipedia.org/wiki/OutWit_Hub

   OutWit Hub is a Web data extraction software application designed to automatically extract information from online or local resources. It recognizes and grabs links, images, documents, contacts, recurring vocabulary and phrases, rss feeds and converts structured and unstructured data into formatted tables which can be exported to spreadsheets or databases.

4. 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.

5. Search engine scraping - Wikipedia

   en.wikipedia.org/wiki/Search_engine_scraping

   To scrape a search engine successfully, the two major factors are time and amount. The more keywords a user needs to scrape and the smaller the time for the job, the more difficult scraping will be and the more developed a scraping script or tool needs to be. Scraping scripts need to overcome a few technical challenges: [citation needed]

6. hiQ Labs v. LinkedIn - Wikipedia

   en.wikipedia.org/wiki/HiQ_Labs_v._LinkedIn

   hiQ Labs, Inc. v. LinkedIn Corp., 938 F.3d 985 (9th Cir. 2019), was a United States Ninth Circuit case about web scraping. hiQ is a small data analytics company that used automated bots to scrape information from public LinkedIn profiles. LinkedIn used legal means to prevent this. hiQ Labs brought a case against LinkedIn in a district court ...

7. Data wrangling - Wikipedia

   en.wikipedia.org/wiki/Data_wrangling

   Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.