Python爬虫获取马蜂窝网旅游目的地评价并制作词云图

先放代码, 内容稍后补充

• 目标url
  https://www.mafengwo.cn/search/q.php?q=%E4%BC%8A%E7%8A%81&seid=F5A9009A-07AE-4577-A84B-F653CB21522B

import re
import time
import requests
from wordcloud import WordCloud
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.pyplot as plt
import matplotlib
from PIL import Image
import numpy as np
from imageio import imread
import jieba


#评论内容所在的url，？后面是get请求需要的参数内容


def getComment(n, http):
    Comment = str()
    comment_url='http://pagelet.mafengwo.cn/poi/pagelet/poiCommentListApi?'
    for i in range(len(http)):
        poi =  http[i][http[i].rfind("/") + 1 : http[i].rfind(".")]
        requests_headers={
                        'Referer': http[i],
                        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36'
                        }#请求头
        for num in range(1, n):
            requests_data={
            'params': '{"poi_id":'+ poi + ',"page":"%d","just_comment":1}' % (num) #经过测试只需要用params参数就能爬取内容
            }
            response =requests.get(url=comment_url,headers=requests_headers,params=requests_data)
            if 200 == response.status_code:
                page = response.content.decode('unicode-escape', 'ignore').encode('utf-8', 'ignore').decode('utf-8')#爬取页面并且解码
                page = page.replace('\/', '/')#将/转换成/
            #日期列表
                date_pattern = r'评论.*?n.*?(.*?)'
                date_list = re.compile(date_pattern).findall(page)
            #星级列表
                star_pattern = r''
                star_list = re.compile(star_pattern).findall(page)
            #评论列表
                comment_pattern = r'
([sS]*?)
'
                comment_list = re.compile(comment_pattern).findall(page)
            for num in range(0, len(date_list)):
            #日期
                date = date_list[num]
            #星级评分
                star = star_list[num]
            #评论内容，处理一些标签和符号
                comment = comment_list[num]
                comment = str(comment).replace(' ', '')
                comment = comment.replace('
', '')
                comment = comment.replace('
', '')
                comment = comment.replace('
', '')
                print("日期:{0}, 评分:{1}, 评论:{2}".format(date, star, comment),num)
                Comment = Comment + comment
            else:
                print("爬取失败")
    return Comment

def wordcloud_fig(comm, inpath, outpath, color, dpi):
    seg =" ".join(jieba.lcut(comm, cut_all  = False, HMM=True))
    word = ["田", "不","对", "上", "了", "的", 
            "我", "在", "是", "也", "我们", "都", 
            "这里", "这", "有", "去", "一个", "就", 
            "没有", "已经","台", "阿富汗","才", "知道", "回回", "时候"]
    jieba.add_word("喀拉峻",freq = 20000, tag = None)
    #bg = np.array(Image.open("D:\Desktop\yili.png"))
    mask = imread(inpath, pilmode="RGB")
    #bg2 = plt.imread("D:\Desktop\bg.png")
    #bg3 = matplotlib.image.imread("D:\Desktop\bg.png")
    stopwords = set(STOPWORDS)
    for num in word:
        stopwords.add(num)
    wordcloud = WordCloud(scale=8, font_path="D:\Desktop\SimSun.ttf",width=2000, height=1860, 
                          background_color=None, stopwords=stopwords, mask=mask, max_font_size=None, 
                          random_state=None, relative_scaling='auto',repeat=False, mode='RGBA',colormap=color)
    wordcloud.generate(seg)
    #image_colors = ImageColorGenerator(bg)
    %pylab inline

    plt.imshow(wordcloud, interpolation='bilinear', cmap=plt.cm.gray)
    plt.axis("off")
    plt.savefig(outpath, dpi=dpi) #用反斜杠的话会报错
    plt.show()
    #wordcloud.to_file('D:\Desktop\test.png',dpi=200)

http_yili =  [
    "https://www.mafengwo.cn/poi/6583819.html",
    "https://www.mafengwo.cn/poi/2026.html",
    "http://www.mafengwo.cn/poi/27788.html",
    "http://www.mafengwo.cn/poi/27802.html",
    "http://www.mafengwo.cn/poi/7693277.html",
    "http://www.mafengwo.cn/poi/28099.html",
    "http://www.mafengwo.cn/poi/28069.html"
    ]
com_yili = getComment(n=10, http=http_yili)
wordcloud_fig(com_yili, "D:\Desktop\ciyun\output_fig\yili2.png")

词云结果