Python爬虫（入门+进阶）学习笔记 1-7 数据入库之MongoDB（案例二：爬取拉勾）

MongoDB：

1. 什么是MongoDB

    MongoDB是一个高性能，开源，无模式的文档型数据库 

    MongoDB 将数据存储为一个文档，数据结构由键值(key=>value)对组成

2. MongoDB相关的安装

    Mac OS 安装MongoDB：

        官网下载：https://www.mongodb.com/download-center#community
        将下载的安装包剪切到/usr/local后，终端 cd /usr/local，
        解压：sudo tar -zxvf mongodb-osx-x86_64-3.4.2.tgz
        重命名目录：sudo mv mongodb-osx-x86_64-3.4.2 mongodb
    安装完成后，我们可以把 MongoDB 的二进制命令文件目录（安装目录/bin）添加到 PATH 路径中：export         PATH=/usr/local/mongodb/bin:$PATH

3. 运行MongoDB

    创建一个数据库存储目录 /data/db：sudo mkdir -p /data/db

    启动：sudo mongod

下载安装Robomongo（mongodb的可视化工具）:

    

实战环节

爬取拉勾网有关“爬虫”的职位信息，并把爬取的数据存储在MongoDB数据库中

1. 首先前往拉勾网“爬虫”职位相关页面
2. 确定网页的加载方式是JavaScript加载
3. 通过谷歌浏览器开发者工具分析和寻找网页的真实请求，确定真实数据在position.Ajax开头的链接里，请求方式是POST
4. 使用requests的post方法获取数据，发现并没有返回想要的数据，说明需要加上headers
5. 加上headers的’Cookie’，’User-Agent’，’Referer’等信息，成功返回数据
6. 再把返回的对应数据存储到MongoDB

1. 爬取单页数据

import requests
url = 'https://www.lagou.com/jobs/positionAjax.json?needAddtionalResult=false&isSchoolJob=0'
payload = {
    'first':'false',
    'pn':'1',
    'kd':'爬虫',
}
headers = {
        'Cookie':'JSESSIONID=ABAAABAABEEAAJA056CAD85932E542C97E3C75AC57647E4; _ga=GA1.2.302262330.1521882979; _gid=GA1.2.2071000378.1521882979; index_location_city=%E6%B7%B1%E5%9C%B3; user_trace_token=20180324171739-00a5a016-8463-4097-a1b7-835ab1dcdc77; LGSID=20180324171824-4ddbb0d9-2f44-11e8-b606-5254005c3644; PRE_UTM=; PRE_HOST=; PRE_SITE=https%3A%2F%2Fwww.lagou.com%2F; PRE_LAND=https%3A%2F%2Fwww.lagou.com%2Fzhaopin%2F; LGUID=20180324171824-4ddbb39e-2f44-11e8-b606-5254005c3644; Hm_lvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1521883105; _gat=1; Hm_lpvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1521883519; LGRID=20180324172522-4700c949-2f45-11e8-9b5d-525400f775ce; SEARCH_ID=1473baba22fb4fedbd4b4fdec0fd70bc',
        'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.186 Safari/537.36',
        'Referer':'https://www.lagou.com/jobs/list_%E7%88%AC%E8%99%AB?city=%E6%B7%B1%E5%9C%B3&cl=false&fromSearch=true&labelWords=&suginput=',
        }
response = requests.post(url, data = payload, headers = headers)
print(response.json()['content']['positionResult']['result'])

2. 爬取多页数据  

定义一个函数爬取多页的数据；使用fake-Agent包随机选取User-Agent

from pymongo import MongoClient
import requests
from fake_useragent import UserAgent
import time


client = MongoClient()
db = client.lagou
lagou = db.pachong



def get_job_info(page, keyword):
    
    url = 'https://www.lagou.com/jobs/positionAjax.json?city=%E6%B7%B1%E5%9C%B3&needAddtionalResult=false&isSchoolJob=0'
    headers = {
            'Cookie':'JSESSIONID=ABAAABAABEEAAJA056CAD85932E542C97E3C75AC57647E4; _ga=GA1.2.302262330.1521882979; _gid=GA1.2.2071000378.1521882979; index_location_city=%E6%B7%B1%E5%9C%B3; user_trace_token=20180324171739-00a5a016-8463-4097-a1b7-835ab1dcdc77; LGSID=20180324171824-4ddbb0d9-2f44-11e8-b606-5254005c3644; PRE_UTM=; PRE_HOST=; PRE_SITE=https%3A%2F%2Fwww.lagou.com%2F; PRE_LAND=https%3A%2F%2Fwww.lagou.com%2Fzhaopin%2F; LGUID=20180324171824-4ddbb39e-2f44-11e8-b606-5254005c3644; Hm_lvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1521883105; _gat=1; Hm_lpvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1521883519; LGRID=20180324172522-4700c949-2f45-11e8-9b5d-525400f775ce; SEARCH_ID=1473baba22fb4fedbd4b4fdec0fd70bc',
            'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.186 Safari/537.36',
            'Referer':'https://www.lagou.com/jobs/list_%E7%88%AC%E8%99%AB?city=%E6%B7%B1%E5%9C%B3&cl=false&fromSearch=true&labelWords=&suginput=',
            }
    
    for i in range(1, page+1):
        payload = {
                'first': 'false',
                'pn': i,
                'kd': keyword,
        }
        
        useragent = UserAgent()
        headers['User-Agent'] = useragent.random
        response = requests.post(url, data = payload, headers = headers)
        
        print('正在爬取第' + str(i) + '页的数据')
        
        if response.status_code == 200:
            job_json = response.json()['content']['positionResult']['result']
            lagou.insert(job_json)
        else:
            print('Something Wrong!')
            
        time.sleep(3)
        

if __name__ == '__main__':
    get_job_info(3, '爬虫')