Python实战计划——第二周大作业

channel.py 爬各个频道的链接搞出来

    import requests
    from bs4 import BeautifulSoup
    
    
    def get_channel_list(url):
        host = 'http://bj.ganji.com'
        wb_data = requests.get(url)
        soup = BeautifulSoup(wb_data.text, 'lxml')
        hrefs = soup.select('dl.fenlei > dt > a')
    
        for href in hrefs:
            fenlei_link = host + href.get('href')
            print(fenlei_link)
    
    
    star_url = 'http://bj.ganji.com/wu/'
    get_channel_list(star_url)
    
    channel_list = '''
        http://bj.ganji.com/jiaju/
        http://bj.ganji.com/rirongbaihuo/
        http://bj.ganji.com/shouji/
        http://bj.ganji.com/shoujihaoma/
        http://bj.ganji.com/bangong/
        http://bj.ganji.com/nongyongpin/
        http://bj.ganji.com/jiadian/
        http://bj.ganji.com/ershoubijibendiannao/
        http://bj.ganji.com/ruanjiantushu/
        http://bj.ganji.com/yingyouyunfu/
        http://bj.ganji.com/diannao/
        http://bj.ganji.com/xianzhilipin/
        http://bj.ganji.com/fushixiaobaxuemao/
        http://bj.ganji.com/meironghuazhuang/
        http://bj.ganji.com/shuma/
        http://bj.ganji.com/laonianyongpin/
        http://bj.ganji.com/xuniwupin/
        http://bj.ganji.com/qitawupin/
        http://bj.ganji.com/ershoufree/
        http://bj.ganji.com/wupinjiaohuan/
    '''

pages_prasing_zouye.py其中的两个函数，函数1：抓取商品的详细信息，函数2：爬每页列表的商品链接并调用函数1。函数2（代码中的爬虫1完成了两个主要功能：一个是将商品链接存入数据库，一个是将商品链接作为爬虫2的参数爬取商品信息，并保存）

import requests
    import pymongo
    import time
    from bs4 import BeautifulSoup
    
    client = pymongo.MongoClient('localhost', 27017)
    gan_ji = client['ganji']
    url_list = gan_ji['url_list']
    iterm_info = gan_ji['iterm_info']
    
    url = 'http://bj.ganji.com/jiaju/o1'
    url1 = 'http://bj.ganji.com/jiaju/2125004571x.htm'
    headers = {'Host': 'bj.ganji.com',
               'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2723.3 Safari/537.36',
               'Cookie': 'statistics_clientid=me; ganji_uuid=2850164659715942462518; citydomain=bj; ganji_xuuid=fcb80e61-aea0-4c5c-cb78-1d6055c096ff.1464314118300; GANJISESSID=669d9cafe447e6fcd543e4f60d01efda; STA_DS=1; lg=1; _gl_tracker=%7B%22ca_source%22%3A%22www.google.com%22%2C%22ca_name%22%3A%22-%22%2C%22ca_kw%22%3A%22-%22%2C%22ca_id%22%3A%22-%22%2C%22ca_s%22%3A%22seo_google%22%2C%22ca_n%22%3A%22-%22%2C%22ca_i%22%3A%22-%22%2C%22sid%22%3A35661161609%7D; __utma=32156897.1317419774.1464314061.1464314061.1464314061.1; __utmb=32156897.11.10.1464314061; __utmc=32156897; __utmz=32156897.1464314061.1.1.utmcsr=google|utmccn=(organic)|utmcmd=organic|utmctr=(not%20provided)',
               'DNT': '1',
               'Connection': 'keep-alive'
               }
    
    
    # 爬虫1：爬取每页的商品链接并储存,同时爬虫2运行存入详情
    def from_channel_store_link(channel, pages):
        url = '{}o{}'.format(channel, str(pages))
        wb_data = requests.get(url, headers=headers)
        time.sleep(1)
        if wb_data.status_code == 200:
            soup = BeautifulSoup(wb_data.text, 'lxml')
            links = soup.select('#wrapper > div.leftBox > div.layoutlist > dl > dd.feature > div > ul > li > a')
            for link in links:
                lk = link.get('href')
                if lk.rfind('http://bj.ganji.com/') != -1:
                    url_list.insert_one({'iterm_list': lk})  # 插入到数据库表中
                    from_lk_get_iterminfo(lk)
                    print('Done')
    
    
    # from_channel_store_link(url)
    # 爬虫2：爬取商品详情
    def from_lk_get_iterminfo(url1):
        wb_data = requests.get(url1, headers=headers)
        soup = BeautifulSoup(wb_data.text, 'lxml')
        titles = soup.select('h1.title-name')
        press_dates = soup.select('i.pr-5')  # split()[0]
        # views = soup.select('i.pl-5')
        leixings = soup.select('#wrapper > div.content.clearfix > div.leftBox > div:nth-of-type(3) > div > ul > li > span > a')
        prices = soup.select(
            '#wrapper > div.content.clearfix > div.leftBox > div > div > ul > li:nth-of-type(2) > i.f22.fc-orange.f-type')
        adds = soup.select(
            '#wrapper > div.content.clearfix > div.leftBox > div:nth-of-type(3) > div > ul > li:nth-of-type(3)')
        xinjius = soup.select(
            '#wrapper > div.content.clearfix > div.leftBox > div > div.det-summary > div > div.second-dt-bewrite > ul > li')
        print(leixings)
        for title, press_date, price, add, xinjiu ,leixing in zip(titles, press_dates, prices, adds, xinjius,leixings):
            data = {
                'title': title.get_text(),
                'press_date': press_date.get_text().split()[0],  # [:2]是日期时间
                'price': price.get_text().split()[0],
                'add': list(add.stripped_strings),
                'xinjiu': xinjiu.get_text().split()[-1],
                'leixing':leixing.text
            }
            print(data)
            iterm_info.insert_one(data)

main.py可在终端运行，多进程

from multiprocessing import Pool
from pages_prasing_zouye import from_channel_store_link
from channe import channel_list

def get_all_links(channel):
    for i in range(1,100):
        from_channel_store_link(channel,i)

if __name__ == '__main__':
    pool = Pool()
    pool.map(get_all_links, channel_list.split())
    pool.close()
    pool.join()

jishu.py统计存入了多少

import time
from pages_prasing_zouye import url_list

while True:
    print(url_list.find().count())
    time.sleep(5)