为了结果直观，做的简单

网页地址：

https://search.51job.com/list/180200,000000,0000,00,9,99,%25E6%25AD%25A6%25E6%25B1%2589,2,1.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare=

扣 182480171,  源码和lun文, 远程演示

# -*- coding:utf-8 -*-

import requests

from lxml import etree

from wordcloud import WordCloud

# 写入csv

def write_csv(name, row):

reload(sys)

sys.setdefaultencoding("utf-8")

# 统计出现频率

def get_count(text):

wordlist_jieba = jieba.cut(text)

# jieba分词

def chinese_jieba(text):

wordlist_jieba = jieba.cut(text)

text_jieba = " ".join(wordlist_jieba)

return text_jieba

# 生成词云图

def get_ciyun(text):

text = chinese_jieba(text)

print(text)

# mask_pic = numpy.array(Image.open(os.path.join(cur_path, "bit.jpg")))

# print(text)

# 背景颜色  词数量  词字体大小  字体文件路径(需要放到和py文件同一个路径下) 去掉的词  遮罩层

font_path = path.join(d, 'fonts', 'Symbola', 'Symbola.ttf')

image.show()

#获取数据

def get_data(url):

result = ''

headers={'Host':'search.51job.com','Upgrade-Insecure-Requests':'1','User-Agent':'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko)\ Chrome/63.0.3239.132 Safari/537.36'}

return result

# 主程序

def main():

url = 'https://search.51job.com/list/180200,000000,0000,00,9,99,%25E6%25AD%25A6%25E6%25B1%2589,2,1.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare='

text = get_data(url)

#print("获取完毕，分词生成词云")

get_ciyun(text)

get_count(text)

main()

网页：

结果

1 抓取结果

2 词云图

3 统计词频