一、分析目标：

点击进去爬取每个企业里面的电话、邮箱

（我们是来投简历的，切勿干非法的事情）

每个单位的URL记下来

（一定是在前一个页面能找到的，不然只能跳转进来是吧）

我们可以看到这个URL就是他跳转的URL

其实我们前面已经提前爬取了每个单位的这个URL

思路：

对我们爬取的URL发包，并对数据包进行处理，提取我们需要的数据

二、代码实现

目标1：对于捕获的URL内嵌发包

        for u in [link]:
            html2 = get_page(u)
            soup2 = BeautifulSoup(html2, 'lxml')
            email_phone_div = soup2.find('div', attrs={'class': 'index_detail__JSmQM'})

目标2：找到电话和邮箱的位置

（1）找到他的上一级（也就是都包含他们的）

        for u in [link]:
            html2 = get_page(u)
            soup2 = BeautifulSoup(html2, 'lxml')
            email_phone_div = soup2.find('div', attrs={'class': 'index_detail__JSmQM'})

目标3：提取电话和邮箱

（1）首先加一个if判空

把phone和email的上一级进行判空，不为空再继续

            if email_phone_div is not None:
                phone_div = email_phone_div.find('div', attrs={'class': 'index_first__3b_pm'})
                email_div = email_phone_div.find('div', attrs={'class': 'index_second__rX915'})

                #中间为提取email和phone代码

            else:
                phone = ''
                email = ''

            #遍历一遍就写入一个数据
            csv_w.writerow((title.strip(), link, type_texts, money, email, phone))

（2）对phone进行提取

首先也是对上一级标签判空，不为空才继续

                if phone_div is not None:
                    phone_element = phone_div.find('span', attrs={'class': 'link-hover-click'})
                    if phone_element is not None:
                        phone = phone_element.find('span',attrs={'class':'index_detail-tel__fgpsE'}).text
                    else:
                        phone = ''
                else:
                    phone = ''

（3）对email提取

和phone一样先对上一级判空，不为空再继续提取

                if email_div is not None:
                    email_element = email_div.find('span', attrs={'class': 'index_detail-email__B_1Tq'})
                    if email_element is not None:
                        email = email_element.text
                    else:
                        email = ''
                else:
                    email = ''

（3）对内嵌请求处理的完整代码

        for u in [link]:
            html2 = get_page(u)
            soup2 = BeautifulSoup(html2, 'lxml')
            email_phone_div = soup2.find('div', attrs={'class': 'index_detail__JSmQM'})

            if email_phone_div is not None:
                phone_div = email_phone_div.find('div', attrs={'class': 'index_first__3b_pm'})
                email_div = email_phone_div.find('div', attrs={'class': 'index_second__rX915'})

                if phone_div is not None:
                    phone_element = phone_div.find('span', attrs={'class': 'link-hover-click'})
                    if phone_element is not None:
                        phone = phone_element.find('span',attrs={'class':'index_detail-tel__fgpsE'}).text
                    else:
                        phone = ''
                else:
                    phone = ''

                if email_div is not None:
                    email_element = email_div.find('span', attrs={'class': 'index_detail-email__B_1Tq'})
                    if email_element is not None:
                        email = email_element.text
                    else:
                        email = ''
                else:
                    email = ''
            else:
                phone = ''
                email = ''

            csv_w.writerow((title.strip(), link, type_texts, money, email, phone))

三、完整代码

运行结果

爬取写入的数据

（cookie需要填上自己的）

import time
import requests
import csv
from bs4 import BeautifulSoup


def get_page(url):
    try:
        headers = {
            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/44.0.2403.89 Chrome/44.0.2403.89 Safari/537.36',
            'Cookie':'！！！！！！！！！'
        }


        response = requests.get(url, headers=headers, timeout=10)
        return response.text
    except:
        return ""



def get_TYC_info(page):
    TYC_url = f"https://www.tianyancha.com/search?key=&sessionNo=1688538554.71584711&base=hub&cacheCode=00420100V2020&city=wuhan&pageNum={page}"
    html = get_page(TYC_url)

    soup = BeautifulSoup(html, 'lxml')
    GS_list = soup.find('div', attrs={'class': 'index_list-wrap___axcs'})
    GS_items = GS_list.find_all('div', attrs={'class': 'index_search-box__7YVh6'})


    for item in GS_items:
        title = item.find('div', attrs={'class': 'index_name__qEdWi'}).a.span.text
        link = item.a['href']
        company_type_div = item.find('div', attrs={'class': 'index_tag-list__wePh_'})

        if company_type_div is not None:
            company_type = company_type_div.find_all('div', attrs={'class': 'index_tag-common__edIee'})
            type_texts = [element.text for element in company_type]
        else:
            type_texts = ''

        money = item.find('div', attrs={'class': 'index_info-col__UVcZb index_narrow__QeZfV'}).span.text

        for u in [link]:
            html2 = get_page(u)
            soup2 = BeautifulSoup(html2, 'lxml')
            email_phone_div = soup2.find('div', attrs={'class': 'index_detail__JSmQM'})

            if email_phone_div is not None:
                phone_div = email_phone_div.find('div', attrs={'class': 'index_first__3b_pm'})
                email_div = email_phone_div.find('div', attrs={'class': 'index_second__rX915'})

                if phone_div is not None:
                    phone_element = phone_div.find('span', attrs={'class': 'link-hover-click'})
                    if phone_element is not None:
                        phone = phone_element.find('span',attrs={'class':'index_detail-tel__fgpsE'}).text
                    else:
                        phone = ''
                else:
                    phone = ''

                if email_div is not None:
                    email_element = email_div.find('span', attrs={'class': 'index_detail-email__B_1Tq'})
                    if email_element is not None:
                        email = email_element.text
                    else:
                        email = ''
                else:
                    email = ''
            else:
                phone = ''
                email = ''

            csv_w.writerow((title.strip(), link, type_texts, money, email, phone))


if __name__ == '__main__':
    with open('5.csv', 'a', encoding='utf-8', newline='') as f:
        csv_w = csv.writer(f)
        csv_w.writerow(('公司名', 'URL', '类型', '资金', '电子邮件', '电话号码'))
        for page in range(1, 5):
            get_TYC_info(page)
            print(f'第{page}页已爬完')
            time.sleep(2)