I think everyone must be surprised, usually big data companies need to master a large amount of data to analyze, classify, and use data, and how do they obtain this data?So, let's tell you how those companies use to get data.
In fact, big data companies often use a set of effective and accurate methods to obtain data in the process of data scraping. IP is a very effective way to improve the efficiency and success rate of enterprises when it comes to data acquisition. 
Data scraping is an important job for big data enterprises, it is a very important job, using the above tools to capture all kinds of data and data on the network, enterprises can analyze, mine and apply data, the following is a detailed introduction to some tools.
Big data companies often utilize search engines for data scraping. A web crawler is an automated programming software that mimics what people browse and get on the Internet. Commonly used web scraping tools, such as the Scrapy framework, are the Python language. This method can automatically obtain the required information from the visited site according to certain principles and methods, and then store it in its own site or database.
So, why use ** ip?As big data companies often encounter a lot of problems when doing data scraping. Some sites control frequent access and disable it if the frequency of access is too high, thus avoiding malicious crawling of the site. In response to the above problems, large enterprises based on agent IP often adopt an IP-based approach.
The so-called "**IP" is to use a ** server to obtain a specific web page from a specific web page. With IP, big data companies can effectively protect their real IP, and usually, the company will use a dynamic IP to scrape, which means that many IPs have to be replaced every time they crawl. The server acts as an intermediary to send requests from the big data company in batches and feed them back to the big data company. This way, the other party will think that there are many people visiting the web page and will not scrape the data.
Big data companies usually choose to purchase commercial IP services when adopting IP, such as IPIDEA, a specialized foreign IP service provider, such a commercial IP service can usually provide stable and fast IP addresses, and can also choose the region and type of IP according to their own needs. In general, professional companies will also avoid involving sensitive information when scraping data, and will not cause any interference to the operation of the destination site, so as to achieve compliance.
In general, big data companies often need to use a variety of means and methods to achieve efficient and accurate data collection in the process of data collection. Among them, IP** is an important way to improve the work of enterprise information collection, and it is also an important way to improve the efficiency of enterprise information collection. The analysis, mining and application of big data can provide strong support for the development of enterprises.