Crawler Technology

Crawlers are mainly targeted with web pages, also known as web crawlers, web spiders, which automate the browsing of information in the web, or a type of web robot. They are widely used in Internet search engines or other similar sites to obtain or update the content and retrieval methods of these sites. They can automatically collect the content of all the pages that they have access to so that the program can do the next step.

Steps in Crawling Technology

The vast majority of us use the web on a daily basis - for news, shopping, socializing, and any type of activity you can imagine. However, when taking data from the web for analytical or research purposes, it is necessary to look at web content in a more technical way - breaking it down into the building blocks of which it is composed, and then reassembling them into structured, machine-readable datasets. Typically textual Web content is converted into data in three basic steps:

Crawlers:

Web crawlers are scripts or robots that automatically access Web pages to crawl raw data from the Web -? the various elements (characters, images) that the end user sees on the screen. It works like a robot that performs ctrl + a (select all content), ctrl + c (copy content), and ctrl + v (paste content) buttons on a web page (but of course it's not that simple in essence).

Often, a crawler doesn't stop at a single page, but rather crawls a series of URLs before stopping based on some predetermined logic . For example, it might follow every link it finds and then crawl that site. In this process, of course, you need to prioritize the number of sites you crawl and the amount of resources (storage, processing, bandwidth, etc.) you can devote to the task.

Parsing:

Parsing means extracting the relevant informational components from a dataset or a block of text so that they can be easily accessed later and used for other operations. To transform a web page into data that is actually useful for research or analysis, we need to parse it in a way that makes the data easy to search, categorize, and serve based on a defined set of parameters.

Storage and Retrieval:

Finally, after obtaining the required data and breaking it down into useful components, it is possible to store all extracted and parsed data in databases or clusters in a scalable way, and then create a function that allows the user to locate the relevant dataset or extract in a timely manner.

What is the use of crawler technology

1, network data collection

The use of crawlers to automatically collect information in the Internet (images, text, links, etc.), collected back for the appropriate storage and processing. And in accordance with certain rules and screening criteria for data categorization to form a process of database files. But in this process, the first thing you need to be clear about what information to collect, when you will collect the collection of conditions collected with sufficient precision, the collection of content is the closer to what you want.

2, big data analysis

Big data era, to carry out data analysis, the first thing you need to have a data source, through the crawler technology can be obtained and so on more data sources. In the big data analysis or for data mining, the data source can be obtained from certain websites that provide data statistics, or from certain literature or internal information, but from these ways of obtaining data, sometimes it is difficult to meet our needs for data, at this time it is possible to use the crawler technology, automatically from the Internet to obtain the required data content, and these data content as a source of data, so as to conduct deeper data analysis.

3. Webpage analysis

Through crawler collection of webpage data, in the case of obtaining basic data such as website visits, customer landing pages, webpage keyword weights, etc., webpage data is analyzed to find out the patterns and characteristics of the visitors' access to the website and to combine these patterns with the network marketing strategies and so on, so as to find out the problems and opportunities that may exist in the current network marketing activities and operations, and to provide a basis for further corrections. problems and opportunities, and provide a basis for further revision or reformulation of the strategy.