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Statistics is concerned with data collection, organization, review, analysis, interpretation, and presentation. So, accurate and relevant information is vital for statistical estimates and reports with a higher level of accuracy. The richest source of information that can be used for various purposes is the internet.
However, the amount of web data is enormous, and the World Wide Web can be considered a source of Big Data.
The information on the internet is often unstructured and stored in various formats, but data scraping for statistics is a perfect way to parse necessary details to transform them into reliable structured datasets ready for analysis.
Scraping information from the web allows you to automatically collect larger amounts of data in a shorter span of time. Thus, the internet as a source for official statistics minimizes errors. It increases statistical data quality. By applying automatic data collection methods, statisticians are able to react effectively to the increasing volume of internet data resources.
The World Wide Web allows users to find real and up-to-date information for statistics and data science in any area of interest—from daily weather conditions to rental housing prices. There are plenty of experts relying on it as the main source of data:
So the opportunities for statistics and data science are enormous, and the demand for data scraping services and tools continues to grow.
If you are interested in data scraping for statistical purposes, schedule a consultation with our expert and decide on the option you need.
You can find our starting prices below. To get a personal quote, please fill out this short form.
Starting at
$300per one data delivery
Starting at
$250per one data delivery
Starting at
$1,500per one data delivery
