Date:2016-10-15
By:Black Crow
前言：
本次作业为第二周大作业。
作业思路分为三部分：第一部分是爬取版块，第二部分爬取单个版块内的产品链接，第三部分是通过产品链接爬取产品详情。
作业效果：
产品详情.png
我的代码：
20161015代码PART1：爬取页面
from bs4 import BeautifulSoup
import requests
from pymongo import MongoClient
client =MongoClient('localhost',27017)
ganji = client['ganji']
page_urls =ganji['page_urls']
def get_page_list():
page = 'http://bj.ganji.com/wu/'
path = 'http://bj.ganji.com/'
wb_data = requests.get(page)
wb_data.encoding = 'utf-8'
soup = BeautifulSoup(wb_data.text, 'lxml')
page_lists = soup.select('dd > a:nth-of-type(1)')
# page_url_lists = []
for page_list in page_lists:
page_name = page_list.get('href').split('/')[1]
# print(page_name)
page_url = path + page_name
if page_name == 'zibubaojian':
pass
else:
page_urls.insert_one({'url':page_url})
# print(page_url)
get_page_list()
#####20161015代码PART2：爬取产品链接
>```
from bs4 import BeautifulSoup
from multiprocessing import Pool
import requests,time
# from content import list#从另外一个文件中导入，须保证为同一文件夹下，后面修改为从数据库调取
from pymongo import MongoClient
client =MongoClient('localhost',27017)
ganji = client['ganji']
page_urls = ganji['page_urls']
product_list =ganji['product_list1']
def counter(i=[0]):
next = i[-1] + 1
i.append(next)
return i[-1]
def get_product_urls(channel,page):
page_url ='{}/o{}/'.format(channel,str(page))#page记得转为str
page_data =requests.get(page_url)
page_soup =BeautifulSoup(page_data.text,'lxml')
product_urls = page_soup.select('td.t > a')
for product_url in product_urls:
url =product_url.get('href').split('?')[0]#shtml后面有一大串字符，可以删掉
if url == None:#抓不到就跳过
pass
else:
product_list.insert_one({'url':url})#应该以规范的格式传到数据库中，否则会报错
print(counter())
time.sleep(1)
#单线程的代码
# def get_list():
# for item in list:
# for i in range(1, 100):
# get_product_urls(item,i)
# time.sleep(1)
def get_list(channel):
for i in range(1,100):
get_product_urls(channel,i)
if __name__ == '__main__':
list =[]
for item in page_urls.find():
list.append(item['url'])
# print(type(list))
pool = Pool()
# pool = Pool(processes=6)
pool.map(get_list,list)#第二个参数是list
20161015代码PART3：爬取产品详情
from bs4 import BeautifulSoup
from multiprocessing import Pool
import requests,time
from pymongo import MongoClient
client =MongoClient('localhost',27017)
ganji = client['ganji']
page_urls = ganji['page_urls']
product_list =ganji['product_list']
product_info = ganji['product_info']
url = 'http://zhuanzhuan.ganji.com/detail/783666465658650628z.shtml'
def counter(i=[0]):
next = i[-1] + 1
i.append(next)
return i[-1]
def get_product_info(url):
wb_data =requests.get(url)
soup =BeautifulSoup(wb_data.text,'lxml')
titles = soup.select('h1')
now_prices = soup.select('div.price_li > span > i')
original_prices = soup.select('b.price_ori')
areas = soup.select('div.palce_li > span > i')
seller_names =soup.select('p.personal_name')
# print(seller_names)
for title,now_price,original_price,
area,seller_name in zip(titles,now_prices,
original_prices,areas,seller_names):
data ={
'title':title.get_text(),
'now_price':now_price.get_text(),
'original_price':original_price.get_text(),
'area':area.get_text(),
'seller_name':seller_name.get_text(),
'url':url
}
# print(data)
product_info.insert_one(data)
print(counter())
time.sleep(1)
if name == 'main':
list =[]
for item in product_list.find():
list.append(item['url'])
# print(type(list))
pool = Pool()
pool = Pool(processes=6)
pool.map(get_product_info,list)#第二个参数是list
####总结：
>1. pool()函数添加进去了，比单进程要快很多，但怕被封，还是设置了暂停时间；
2. pool()函数第二个参数是list，直接从数据库提取出来的数据暂时不知道如何表达，所以直接是添加到了一个list里面，后面再看是否有更简单的表达；
3. 调用pool函数的时候前面的参数传导一定要确保正确，本次作业在数据库插入部分坑了好久，好在后来找出了问题。
4. 爬了6万条，数据里有重复，还得查阅和解决MongoDB查重的问题。