Python 爬虫抓取拉勾网职位数据，并存入CSV文件

柔情只为你懂 2022-05-23 07:44 349阅读 0赞

这次把采集的数据存入CSV文件，之前写过把数据存入MySQL数据库的文章，请[点击][Link 1]   。一些准备工作，比如职位接口、伪装浏览器及传递参数等信息也请在之前的[文章][Link 1]里查看，此处不在重述了。

完整代码如下：

# -*- coding: utf-8 -*- 
    import pandas as pd
    #from bs4 import BeautifulSoup
    import urllib.request as req
    import urllib.parse
    import re
    import json
    import sys
    import time
    import random
    
    print(sys.getdefaultencoding())
    
    class LagouCrawler:
        
        def __init__(self,location_word,position_word,pages):
            self.location_word = location_word
            self.position_word = position_word
            self.pages = pages
            self.location_url = 'https://www.lagou.com/jobs/positionAjax.json?city=%s&needAddtionalResult=false'#positionAjax.json?city=北京&needAddtionalResult=false
    
        def request_method(self,params):
            #伪装浏览器，打开网站
            headers = {
                'Connection': 'Keep-Alive',
                'Accept': 'text/html, application/xhtml+xml, */*',
                'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2',
                'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko',
                'Referer':'https://www.lagou.com/jobs/list_%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%B8%88?city=%E5%8C%97%E4%BA%AC&cl=false&fromSearch=true&labelWords=&suginput=',
                'Host':'www.lagou.com',
                'Origin':'https://www.lagou.com',          
            }
            url = self.location_url%urllib.parse.quote(self.location_word)
            params_post = urllib.parse.urlencode(params).encode()
            print(params_post)
            reqs = req.Request(url,data=params_post,headers=headers,method='POST')
            return reqs
        
        def lagou_search(self,page_num=1):
            #抓取数据
            if(page_num == 1):
                first_flag = 'true'
            else:
                first_flag = 'false'
            params = {
                'first':first_flag,
                'kd':self.position_word,
                'pn':page_num
            }
            request_m = self.request_method(params)
            
            conn = req.urlopen(request_m)
            return_str = conn.read().decode()
            return json.loads(return_str)
        def save_csv(self,df,p):
            # 保存文件
            df.to_csv(path_or_buf = 'd:\\xxx\\lagou\\lagou_%d.csv'%p,encoding='gbk') 
     
        def crawler(self):
            # 把抓取的数据存入CSV文件，设置时间间隔，以免被屏蔽
            dfs = []
            for p in range(self.pages+1):
                tmp_list = []
                if(p == 0):
                    continue
                json_info = self.lagou_search(page_num=p)
                json_content = json_info['content']     
                position_result = json_content['positionResult']['result']
                
                for row in position_result:
                    tmp_list.append([row['positionName'],row['workYear'],row['education'],row['financeStage'],row['companyShortName'],row['industryField'],\
                                    row['city'],row['salary'],row['positionId'],row['positionAdvantage'],row['district'],','.join(row['positionLables']),\
                                    ','.join(row['companyLabelList']),row['companySize'],row['companyFullName']])
                df = pd.DataFrame(tmp_list,columns=['position_name','work_year','education','finance_stage','company_short_name','industry_field',\
                                                    'city','salary','position_id','position_advantage','district','position_lables',\
                                                    'company_label_list','company_size','company_full_name'])
                dfs.append(df)
                print(df.head())
                self.save_csv(df,p)
                time.sleep(random.randint(41,92))
            final_df = pd.concat(dfs,ignore_index=True)
            self.save_csv(final_df,0)
     
    def lagou():
        pages = 30
        location_word = '北京'
        position_word = '数据分析师'
        lg = LagouCrawler(location_word,position_word,pages)   
        lg.crawler()
        
    if __name__ == '__main__':
        lagou()

开发环境搭建好，文件路径设置正确，直接复制代码就可以了。

[Link 1]: https://blog.csdn.net/uvyoaa/article/details/80571687