Data analysis refers to "an effort to find useful information from a large amount of data and use it for improvement." In the era of big data, the analysis and utilization of data is becoming more and more important.
Incorporating data analysis into business has many benefits, such as speeding up decision-making, identifying issues, and coming up with new measures.
The use of IT tools is indispensable for collecting huge amounts of data and proceeding with quick analysis. In recent years, as data analysis has attracted attention, various analysis tools have appeared. Therefore, this time, we will introduce 29 tools that are useful for data analysis by purpose.
4 web data collection tools
1. Octoparse
Octoparse is a powerful web scraping tool that can easily extract data on any website . Equipped with an automatic web page recognition function, when you enter the URL of the acquisition destination, the data is automatically detected and you can easily extract the data without programming knowledge.
In addition, we provide a number of web scraping templates to make scraping easier. Just by entering parameters (target site URL, search keywords, etc.), data will be extracted more and more. Acquired data can also be saved in formats such as CSV, Excel, or databases.
We also provide a cloud-based platform, so you can extract data periodically, and the acquired data is stored in the cloud and can be accessed at any time. No hardware maintenance is required, so you don't have to worry about network interruptions.
It is one of the most recommended data collection tools because you can use all the functions necessary for web scraping for free .
2. Content Grabber
Content Graber is web crawler software for businesses. You can create a standalone web crawling agent. Content data such as text and images can be extracted from almost any website, and the extracted data can be saved as structured data in most databases such as Excel, XML, CSV, etc.
In addition, it provides many powerful script editing, interface debugging, so you can build a more advanced web scraping process. Users can use C# or VB.NET to debug and write scripts to build crawling processes. For example, Content Grabber integrates with Visual Studio 2013 to support the most powerful script editing, debugging, and unit testing for advanced, sophisticated and customized crawlers based on your specific needs.
As a point of caution, while advanced editing is possible, it is difficult for people without programming skills to handle.
3. Import.io
Import.Io is a scraping tool that extracts data just by entering a URL. It's a cloud-based service, so there's no need to install any software. Just start Import.Io and enter the URL of the target web page, then it will automatically determine the data location and extract the information.
In addition, there are scraping apps available for each OS, such as Windows, Mac, and Linux. After scraping is completed, data can be exported in CSV/JSON format. In addition, you can set regular execution of crawling work such as weekly, daily, and hourly.
4. Parsehub
Data analysis refers to "an effort to find useful information from a large amount of data and use it for improvement." In the era of big data, the analysis and utilization of data is becoming more and more important.
Incorporating data analysis into business has many benefits, such as speeding up decision-making, identifying issues, and coming up with new measures.
The use of IT tools is indispensable for collecting huge amounts of data and proceeding with quick analysis. In recent years, as data analysis has attracted attention, various analysis tools have appeared. Therefore, this time, we will introduce 29 tools that are useful for data analysis by purpose.
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