Steps of Crawler Technology Most of us use the Internet every day-for news, shopping, social activities and any kind of activities you can imagine. However, when obtaining data from the network for analysis or research purposes, it is necessary to view the Web content in a more technical way-breaking it down into building blocks and then reassembling it into a structured, machine-readable data set. Generally, converting text Web content into data is divided into the following three basic steps:
Reptiles:
Web crawler is a script or robot that automatically accesses web pages. Its function is to grab the original data from the web page. Various elements (characters, pictures) that end users see on the screen. It works like a robot (of course, it's not that simple in nature) pressing the buttons of ctrl+a (select all contents), ctrl+c (copy contents) and ctrl+v (paste contents) on a web page.
Usually, the crawler doesn't stay on a webpage, but crawls a series of URLs according to some predetermined logic before stopping. For example, it may follow every link it finds and then crawl the website. Of course, in this process, you need to give priority to the number of websites you crawl and the amount of resources (storage, processing, bandwidth, etc.). ) can be put into the task.
Analysis:
Parsing refers to extracting relevant information components from data sets or text blocks so that they can be easily accessed and used for other operations in the future. In order to convert web pages into data that is actually useful for research or analysis, we need to analyze the data in a way that is easy to search, classify and serve according to the defined parameter set.
Storage and retrieval:
Finally, after obtaining the required data and decomposing it into useful components, all the extracted and parsed data are stored in a database or cluster through an extensible method, and then a function that allows users to find relevant data sets or extract them in time is created.
What is the use of reptile technology? 1, network data acquisition
Use crawler to automatically collect information (pictures, words, links, etc.). ), and then store and process them accordingly. The process of classifying data into database files according to certain rules and filtering criteria. But in this process, first you need to know what information you want to collect. When your collection conditions are accurate enough, the content you collect will be closer to what you want.
2. Big data analysis
In the era of big data, to analyze data, there must be data sources first, and so many data sources can be obtained through crawler technology. When doing big data analysis or data mining, data sources can be obtained from some websites that provide data statistics, or from some literature or internal materials. However, these methods are sometimes difficult to meet our demand for data. At this time, we can use crawler technology to automatically obtain the required data content from the Internet, and use these data content as the data source for further data analysis.
3. Web page analysis
Web page data is collected by crawler, and the web page data is analyzed under the condition of obtaining basic data such as website visits, customer landing pages and web page keyword weights. And find out the laws and characteristics of visitors visiting websites, and combine these laws with online marketing strategies, so as to find out the possible problems and opportunities in current online marketing activities and operations, and provide basis for further revision or re-formulation of strategies.