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How Python crawls transaction data from cat websites

2025-04-01 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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In this issue, the editor will bring you about how Python crawls cat website transaction data. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

I. Preface

When I see cute cat memes, I can't help but collect them. Some of the pictures are as follows:

Crawl from this site to learn about cute cats by crawling data on cat breeds and 20W + cat transactions.

II. Data acquisition

Open the cat trading network, crawl the cat breed data first, and open the page to see a list of cat breeds:

Orange cat is found all over the world, it is really my big orange cat. As the saying goes, "Ten orange cats, nine fat and one collapsed Kang". Orange cats like to eat more than other colorful cats, they have a good appetite and can survive better, which may be the reason why orange cats have all over the world. But it is a small cat, the orange cat is generally very good-looking when he is young, and he looks small, tender and lovely, but it is not until the orange cat grows up that he really realizes what "orange is important".

Orange cats have the largest number of transactions. It has been mentioned before that there are orange cats all over the world, and we can also see the largest number of orange cats from here. Followed by coffee cats, puppet cats, English short blue and white cats and so on.

The cats sold are mainly 1-6 months old, and they are all kittens who have just been born and are less than half a year old. The kitten at this time should be very cute, waiting for the predestined owner to bring it home.

Finally, let's take a look at the most expensive cats and the most visited cats on the website.

Import pandas as pddf = pd.read_excel ('processed data .xlsx') print (df.info ()) df1 = df.sort_values (by=' browsing times', ascending=False) print (df1.iloc [: 3) :: .values) print ('- -') df2 = df.sort_values (by=' Price', ascending=False) print (df2.iloc [: 3 ::] .values) # http://www.maomijiaoyi.com/index.php?/chanpinxiangqing_441879.htmlhttp://www.maomijiaoyi.com/index.php?/chanpinxiangqing_462431.htmlhttp://www.maomijiaoyi.com/index.php?/chanpinxiangqing_455366.html with the most views

On the other hand, the number of visits ranked second and third, the price is cheap, prevention has been injected with three injections of vaccine, only the number of sales is still relatively abundant, but also much cuter than the first (personal feeling).

# the most expensive is as follows: http://www.maomijiaoyi.com/index.php?/chanpinxiangqing_265770.htmlhttp://www.maomijiaoyi.com/index.php?/chanpinxiangqing_281910.htmlhttp://www.maomijiaoyi.com/index.php?/chanpinxiangqing_230417.html

The most expensive puppet cats are found to be 3000 yuan. Looking up the data, it is found that puppet cats and large cats are not only expensive to buy, but also relatively expensive to raise, because the amount of food and exercise are relatively large, and beauty and other related expenses will be higher.

The above is the editor for you to share Python how to crawl cat website transaction data, if you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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