作业要求
（1）csv文件数据写入
（2）mysql 操作，python mysql操作 这个需要安装mysql以及python操作mysql数据库的包 建议用pymysql
（3）http://www.socom.cn 网站公司信息数据信息 可以看这个页面，有兴趣的可以抓全站，至少抓一个省的。
爬取过程
-
先从首页获取http://www.socom.cn全国所有地区的url。
地区
-
判断该地区还有没有分县（级市）、片区等
分县（级市）、片区等
该地区不分县（级市）、片区等
-
如果该地区不分县（级市）、片区等，爬去企业的分类
企业分类
-
爬去每一类企业的所有企业的链接
企业
-
根据企业的链接爬去企业的详细信息
企业详细信息
说明
搜企黄页网数据比较多，不适合使用CSV文件保存（数据超过65536），表格最大支持65536行。经爬取验证，北京、天津两个地方的企业就已经有5万多，如果全站爬取的话，肯定会超过65536的限制。
参考代码
# sqwSpider.py
import requests
from lxml import etree
import csv
import time
import sql
# 首页url
home_page_url = 'http://www.socom.cn'
# 详情页url
detail_url = 'http://www.socom.cn/company/16001195.html'
def get_html(url):
try:
resp = requests.get(url)
if resp.status_code == 200:
return resp
else:
return None
except TimeoutError:
get_html(url)
except ConnectionError:
get_html(url)
# 获取到城市列表
def parse_home_page(home_page_url):
# /html/body/div[5]/div[2]/a[1]
citys_url_list = []
resp = get_html(home_page_url)
if resp:
html = resp.text
root = etree.HTML(html)
num = len(root.xpath('//body/div[@class="contentBox"][4]/div[@class="provinceBox"]'))
for i in range(1, num + 1):
province = root.xpath('//body/div[@class="contentBox"][4]/div[@class="provinceBox"][{}]/a/text()'.format(i))[0]
# [-452:-4]
citys = root.xpath('//body/div[@class="contentBox"][4]/div[@class="cityBox"][{}]/a/text()'.format(i))
citys_url = root.xpath('//body/div[@class="contentBox"][4]/div[@class="cityBox"][{}]/a/@href'.format(i))
# print(citys)
citys = []
for url in citys_url:
citys.append(home_page_url + url)
citys_url_list.append(citys)
return citys_url_list
# 判断地址是不是最终地址(省 -> 地级市 -> 县级市)
def city_is_end(city_url):
resp = get_html(city_url)
if resp:
html = resp.text
root = etree.HTML(html)
province = len(root.xpath('//*[contains(concat( " ", @class, " " ), concat( " ", "contentBox", " " )) and (((count(preceding-sibling::*) + 1) = 3) and parent::*)]//*[contains(concat( " ", @class, " " ), concat( " ", "cityBox", " " ))]/a/text()'))
print(province)
if province == 35:
return True
else:
return False
# 获取县级市
def get_city_part(city_url):
resp = get_html(city_url)
if resp:
html = resp.text
root = etree.HTML(html)
city_parts= root.xpath('//body/div[@class="contentBox"][1]/div[@class="cityBox"]/a/@href')
city_parts_url = []
for part in city_parts:
city_parts_url.append(home_page_url + part)
return city_parts_url
else:
return None
# 获取最终地区的企业分类
def get_part_url(city_url):
resp = get_html(city_url)
if resp:
html = resp.text
root = etree.HTML(html)
corps = root.xpath('//div[@class="contentBox"][2]/div[@class="cityBox"]/a[@class="countyBox"]/@href')
corps_url = []
for part in corps:
corps_url.append(home_page_url + part)
return corps_url
else:
return None
# 获取一个分类的所有企业的链接
def get_url_of_corp(part_url):
resp = get_html(part_url)
if resp:
html = resp.text
root = etree.HTML(html)
parts = root.xpath('//div[@class="contentBox"][3]/div[@class="cityBox"]/a/@href')
parts_url = []
for part in parts:
parts_url.append(home_page_url + part)
return parts_url
else:
return None
# 获取企业分类进入的url
def get_all_detail_url(home_page_url):
# urls_list = parse_home_page(home_page_url)
# for urls in urls_list:
# for url in urls:
# if city_is_end(url):
# print(url)
# else:
# urls.extend(get_city_part(url))
# urls.remove(url)
# return urls_list
last_city_list = []
urls_list = sum(parse_home_page(home_page_url), [])
# print(urls_list)
for url in urls_list:
print(url, end='\t')
if city_is_end(url):
print('到头了')
last_city_list.append(url)
urls_list.remove(url)
continue
else:
urls_list.extend(get_city_part(url))
print('获取县级市')
urls_list.remove(url)
return last_city_list
# 提取详情页的数据
def parser_detail(resp, db):
detail = {}
if resp:
html = resp.text
root = etree.HTML(html)
info = root.xpath('//*[contains(concat( " ", @class, " " ), concat( " ", "cityBox", " " ))]//div[(((count(preceding-sibling::*) + 1) = 1) and parent::*)]/text()') if root.xpath('//*[contains(concat( " ", @class, " " ), concat( " ", "cityBox", " " ))]//div[(((count(preceding-sibling::*) + 1) = 1) and parent::*)]/text()') else None
# print(info)
if info:
detail['公司名称'] = root.xpath('//div[@class="contentBox"][2]/div[@class="provinceBox"]/text()')[0]
detail['地址'] = info[0].strip().split('：')[-1]
detail['电话'] = info[1].strip().split('：')[-1]
detail['传真'] = info[2].strip().split('：')[-1]
detail['手机'] = info[3].strip().split('：')[-1]
detail['网址'] = info[4].strip().split('：')[-1]
detail['邮箱'] = info[5].strip().split('：')[-1]
detail['联系人'] = info[6].strip().split('：')[-1]
detail['公司人数'] = info[7].strip().split('：')[-1]
detail['注册资金'] = info[8].strip().split('：')[-1]
detail['经济类型'] = info[9].strip().split('：')[-1]
detail['公司产品'] = info[10].strip().split('：')[-1]
detail['公司简介'] = info[11].strip().split('：')[-1]
# with open('sqw.csv', 'a', newline='') as csv_file:
# writer = csv.writer(csv_file)
# print([info for info in detail.values()])
# writer.writerow([info for info in detail.values()])
sql.insert_detail(db, detail)
return detail
else:
return None
def main():
db = sql.init()
# with open('sqw.csv', 'w', newline='') as csv_file:
# writer = csv.writer(csv_file)
# writer.writerow(['公司名称', '地址', '电话', '传真', '手机', '网址', '邮箱', '联系人', '公司人数', '注册资金', '经济类型', '公司产品', '公司简介'])
detail_urls = get_all_detail_url(home_page_url)
# 遍历所有的城市
for url in detail_urls:
print('下载', url)
part_url = get_part_url(url)
# 遍历所有的分类
for part in part_url:
print('分类信息', part)
corp_url = get_url_of_corp(part)
# 遍历所有的企业
for corp in corp_url:
print('公司链接', corp)
detail = parser_detail(get_html(corp), db)
time.sleep(1)
# detail = parser_detail(get_html(url))
# writer.writerow([info for info in detail.values()])
# print(city_is_end('http://www.socom.cn/xinjiang/kelamayi/baijiantan/'))
if __name__ == '__main__':
main()
# sql.py
from pymongo import MongoClient
def init():
client = MongoClient('localhost', 27017)
db = client.sqw
collectios = db.corp_info
return db
def insert_detail(db, detail):
db.my_collection.insert(detail)
输出结果
MongoDB数据库
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