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PHP programmers use crawler technology to reveal the real data behind rising rents

藏色散人
藏色散人Original
2018-08-25 11:46:422459browse

In the near future, I believe that everyone on Weibo or in the circle of friends has been flooded by the skyrocketing rent, the vice president of I Love My Family published a resignation letter in the circle of friends announcing his resignation, and the Internet exposure of Lianjia Ziroom’s jacking up of housing prices, etc. Pass. When rents rise, young people are most affected. Most young people either have just graduated and have no savings, or they have worked for several years but continue to struggle to rent a house due to high housing prices. Now even renting a house has become a big problem. So as a PHP programmer, let me introduce this incident to you how to use PHP to write a crawler to obtain real rental data.

PHP programmers use crawler technology to reveal the real data behind rising rents

Regarding the rental market in Beijing, if you want to rent a house, there are three main ways: 1. Find a housing agency. The company with the highest market share currently is called Lianjia; 2. The one with the highest market share for long-term rental apartments is called Ziru; 3. The one with the highest market share for finding apartments on the Internet is Anjuke. In April this year, there was a new company that suddenly emerged and quickly jumped into the top five, called Beike House Search. The sum of these three methods almost determines the price of renting a house for you and me. What is even more surprising is that the above-mentioned companies , except for Anjuke, the actual controller of Lianjia, Ziroom, and Beikezhuofang is the same person. This is Zuo Hui, the boss of Lianjia Group who has frequently appeared in the news these days.

PHP programmers use crawler technology to reveal the real data behind rising rents

#For those who are preparing to work hard in Beijing, the skyrocketing rent is quite annoying. Some netizens used programmers’ methods to uncover the reasons behind the increase in rent. So what is the programmer's way?

The program idea is: Write a crawler with phpUse it to crawl the data of Lianjia. First, go to the console to see the loading information, find the relevant data API, send an https request according to the required parameters in the request header, and after the analysis is completed, use xpath or regular expression tools to match the content you want, and then insert it into the database, that is Fetching can be completed. Finally PHP implemented crawler crawled all the houses for rent on Lianjia.com.

PHP programmers use crawler technology to reveal the real data behind rising rents

Then continue to use the same crawler method to crawl long-term rental apartment platforms such as Ziru, Danke, and Mushroom Apartments. The final word cloud diagram of the data is as follows

PHP programmers use crawler technology to reveal the real data behind rising rents

According to the data summary, in several major directions of Beijing’s rental industry, Zuobobo’s industry either occupies a leading position or is growing rapidly. It’s no wonder that there was an article a few days ago Heavy news said that Hu Jinghui, the former vice president of I Love My Home, resigned due to some pressure and criticized long-term rental apartments such as Ziru and Danke for competing for housing at prices 20%-40% higher than the market price, regardless of costs. to expand.

PHP programmers use crawler technology to reveal the real data behind rising rents

It is understandable for businessmen to pursue profit, and it is also a normal business goal to pursue a larger market share. However, when a certain enterprise is too strong, a monopoly or oligopoly will be formed. If they have a monopoly, they can use their resources and capital advantages to hoard, influence and even manipulate the direction of the industry. Such a monopoly seems to be taking shape in Beijing's rental industry. The main purpose here is to tell you that PHP crawler can obtain network resources such as web pages, pictures, scripts, file data, etc. from the Internet.


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