爬取代碼：

import requests
from bs4 import BeautifulSoup

def page_url(url):
    for i in range(1, 3):
        if (i % 2) == 1:
            message(url.format(i))

def message(url):
    res = requests.get(url)
    res.encoding = ‘utf-8‘
    soup = BeautifulSoup(res.text, ‘html.parser‘)
    n = 0
    for news in
 
 soup.select(‘.gl-i-wrap‘):
        title = news.select(‘.p-name‘)[0].text.strip()
        price = news.select(‘.p-price‘)[0].text.strip()
        commit = news.select(‘.p-commit‘)[0].text.strip()
        urls = r‘http://‘ + news.select(‘.p-img‘)[0].contents[1][‘href‘]
        n += 1
        print("%d、 \n 名稱：%s \n 價格：%s \n 評價：%s \n 鏈接：%s
 
" %  (n, title, price, commit, urls))
        f = open(‘info.txt‘, ‘a+‘, encoding=‘utf-8‘)
        f.write(str(str(n)+title+price+commit+urls))

url = ‘https://search.jd.com/Search?keyword=%E9%9E%8B%E5%AD%90&enc=utf-8&wq=%E9%9E%8B%E5%AD%90&pvid=2cb987320c55495393d8b67cce3532b3‘

page_url(url)

生成詞雲：

import jieba
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
from scipy.misc import imread


text=‘‘
info = open(‘info.txt‘, ‘r‘, encoding=‘utf-8‘).read()
text += ‘ ‘.join(jieba.lcut(info))
wc = WordCloud(
    width=500,
    height=500,
    margin=2,
    background_color=‘white‘,  # 設置背景顏色
    font_path=‘C:\Windows\Fonts\STZHONGS.TTF‘,  # 若是有中文的話，這句代碼必須添加，不然會出現方框，不出現漢字
    max_words=2000,  # 設置最大現實的字數
    stopwords=STOPWORDS,  # 設置停用詞
    max_font_size=150,  # 設置字體最大值
    random_state=42  # 設置有多少種隨機生成狀態，即有多少種配色方案
)
wc.generate_from_text(text)
wc.to_file(‘ysx.jpg‘)

Python爬取京東商品列表