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How to use Python to crawl the downloads of various Android market applications, in view of this problem, this article introduces the corresponding analysis and solutions in detail, hoping to help more partners who want to solve this problem to find a more simple and easy way.

Article catalogue

Preface

Design a function

Construct the URL to crawl

Determine the location of the content to crawl

Build input and call parts

Program complete code

0 preface

Sometimes, there is always some repetitive and trivial work that has to be done....

One by one statistics, is not bad, but really too tired.

Is there a way to automatically sort it out in 5 seconds?

Today, I'll teach you a trick. Use Python to climb the downloads of each page. Learn it in three minutes and save two hours.

The result is this: you only need to enter the application name, and then you can get the downloads for each market.

If you want to do it, you only need a few steps:

1 Design a function

First, we need to define a function for the crawler:

If you are a rookie with zero foundation and don't understand what a function is, here are some explanations:

There are two main parts of Python's functions: built-in functions and custom functions. The built-in function is the inherent function of Python itself, such as print (), input (), while the custom function is a code block designed by us to facilitate repeated calls.

The function is structured like this:

It is important to note that

Def and return are keywords, and Python recognizes these keywords to understand the user's intention.

Colons after closing parentheses are essential.

If you enter after a colon in IDE, you will get an indentation. The statement that follows the indentation is called a statement block. The indentation is used to indicate the dependency of the statement and logic.

2 construct the URL to be crawled

What kind of web site does this crawler need to crawl? You need the program to tell it:

The number of app downloads we are going to climb is on the details page. And this detail page has a rule to follow.

Taking the Android market of App Huihui as an example, we can see that when we search for "NetEase Cloud classroom", the URL is:

So we can use url+ search content to construct a URL for us to crawl.

3 determine the location of the content to be crawled

What we are going to crawl is the number of downloads, and we need to tell the program where this element is located.

In the Chrome browser, right-click on the content you want to crawl and select "check".

Then select the deepened part of the message in the check box that appears, and select copy selecter in copy.

Paste out the part we copied:

We call it the CSS element selector, through which we can pinpoint the part we want to crawl.

In the above three steps, we have constructed the overall structure of a function:

4 build input and call parts

Here we use the input function in the following format:

Just enter the function name and parameters directly by calling the function, so what we need is:

5 complete code of the program

Because we want to crawl the results of multiple websites at the same time, we customize multiple functions according to the above example and call them uniformly.

Now, send out the daily data that you completed in 30 seconds.

This is the answer to the question about how to use Python to crawl the downloads of various Android market applications. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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