python scrapy 爬取Boss直娉

Python Scrapy框架爬取BOSS直聘招聘信息

1.创建项目

库的下载：

pip install scrapy -i https://pypi.tuna.tsinghua.edu.cn/simple

cd 到想要创建爬虫的目录执行命令

scrapy startproject 项目名

成功创建项目之后，会得到如图的文件目录结构

根据提示cd到scrapy 执行 scrapy genspider 爬虫名域名

此时，项目中就新建好了一个爬虫文件：

启动爬虫可以使用命令： Scrapy crawl 爬虫名

但是，真实的开发中，这样写是不方便调试的，应该使用一个文件来启动爬虫。

在项目中建立一个main.py文件，然后运行该文件即可。

下面是相关代码：

from scrapy import cmdline
cmdline.execute("scrapy crawl spider_bokeyuan".split())

2.项目分析

1.根据网址链接可以看到只要更改page 这两个参数就可以进行翻页

2.查看网页源代码可以看到有一长串cookie 后期我们可以直接复制（如果不传cookie是访问不到正确的页面的）

3.产看源代码看到详情页的链接所在标签

3.代码实现

1.目录结构

2.bosspq.py

# -*- coding: utf-8 -*-
import scrapy
from items import BossItem
import time

class BossSpiderMiddleware(scrapy.Spider):
    name = "bosspq"  # 爬虫名
    allowed_domains = ["zhipin.com"]

    base_url = "https://www.zhipin.com/c101270100/?query=python&page=%s&ka=page-%s"
    # 设置一个列表存储url链接
    url_list = []
    # 循环遍历出url并添加到列表中
    for i, n in zip(range(1, 3), range(1, 3)):
        url = base_url % (i, n)
        url_list.append(url)
    start_urls = url_list

    # 设置cookie
    cookie_list = "lastCity=101270100; __c=1577149081; __g=-; __l=l=%2Fwww.zhipin.com%2Fchengdu%2F&r=https%3A%2F%2Fwww.baidu.com%2Flink%3Furl%3DVdOvDbkv31yb5VBBMrEk9NSaHuvhbawb1E3gS5qFjgVlJpFAGeLGRoy0IDNK4oMk%26wd%3D%26eqid%3Dfeb3956900384054000000025e01628b&friend_source=0&friend_source=0; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1577115314,1577115319,1577149082,1577155616; __a=89188227.1575600840.1577115310.1577149081.127.11.24.37; __zp_stoken__=cdcfOUiphacBlF%2BS%2F3XnCbXfVxOlbboK5u4MjFQnYZqQ%2B3y3Du3Rs7ZOZLkVuqG42JoUkPzRRXC1PGT2XxFnW37wkM24kGa%2BuQg8ZN54Rh3dKsEtzTbe9GjieJtE47n7VmCN; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1577175217"
    custom_settings = {
        'DEFAULT_REQUEST_HEADERS': {
            'Cookie': cookie_list,
            'Referer': 'https://www.zhipin.com/chengdu/',
        }
    }

    def parse(self, response):
        print(response.text)
        print("*" * 40)
        link = {}
        a = response.xpath("//div[@class='info-primary']/h3")
        for i in a:
            link["url"] = "https://www.zhipin.com/" + i.xpath('./a/@href').get()
            print(link)
            yield scrapy.Request(link['url'], callback=self.boss_list)
    def boss_list(self, response):
        item = BossItem()
        item['job'] = response.xpath('//*[@id="main"]/div[1]/div/div/div[2]/div[2]/h1/text()').get()
        item['wage'] = response.xpath('//*[@id="main"]/div[1]/div/div/div[2]/div[2]/span/text()').get().strip()
        item['name'] = response.xpath('//*[@id="main"]/div[3]/div/div[1]/div[2]/div/a[2]/text()').get().strip()
        item['job_xq'] = response.xpath('//*[@id="main"]/div[3]/div/div[2]/div[2]/div[1]/div/text()').get().strip()
        # 设置爬取间隔
        time.sleep(1)
        yield item

注意：如果要使用该程序需要在浏览器上从新复制cookie 粘贴到cookie_list

3.item.py

import scrapy

class BossItem(scrapy.Item):
    # 职位
    job = scrapy.Field()
    # 工资
    wage = scrapy.Field()
    # 公司名
    name = scrapy.Field()
    # 工作需求
    job_xq = scrapy.Field()

4.main.py

from scrapy import cmdline

cmdline.execute("scrapy crawl bosspq".split())

5.middlewares.py

import random

# 随机请求头
class UserAgentDownloadMiddleWare(object):
    # 需要随机的请求头
    USER_AGENTS = [
        'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36',
        'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/44.0.2403.155 Safari/537.36',
        'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; pl-PL; rv:1.0.1) Gecko/20021111 Chimera/0.6',
        'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.1 Safari/537.36',
        'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.0 Safari/537.36',
        'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.8 (KHTML, like Gecko, Safari) Cheshire/1.0.UNOFFICIAL',
        'Mozilla/5.0 (X11; U; Linux i686; nl; rv:1.8.1b2) Gecko/20060821 BonEcho/2.0b2 (Debian-1.99+2.0b2+dfsg-1)'
    ]

    def process_request(self, request, spider):
        # 随机生成一个请求头
        user_agent = random.choice(self.USER_AGENTS)
        request.headers['User-Agent'] = user_agent

6.pipelines.py

from pymongo import MongoClient

class BossPipeline(object):
    # mongodb的链接
    def __init__(self, databaseIp='127.0.0.1', databasePort=27017, mongodbName='mydb'):
        # 与mongodb建立链接
        client = MongoClient(databaseIp, databasePort)
        # 进入数据库mydb
        self.db = client[mongodbName]

    def process_item(self, item, spider):
        postItem = dict(item)  # 把item转化成字典形式
        self.db.scrapy.insert(postItem)  # 向数据库中的scrapy集合插入一条记录
        return item  # 会在控制台输出原item数据，可以选择不写

7.settings.py

BOT_NAME = 'boss'

SPIDER_MODULES = ['boss.spiders']
NEWSPIDER_MODULE = 'boss.spiders'

ROBOTSTXT_OBEY = False  # 表示不遵守robots协议

"""cookie的设置"""
COOKIES_ENABLED = False

"""开启中间建"""
DOWNLOADER_MIDDLEWARES = {
   'boss.middlewares.UserAgentDownloadMiddleWare': 543,
}

ITEM_PIPELINES = {
   'boss.pipelines.BossPipeline': 300,
}

注：具体实现流程请参考代码注释

posted @ 2019-12-24 19:12 lovelife80 阅读(1275) 评论(1) 编辑收藏举报

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python scrapy 爬取Boss直娉

Python Scrapy框架爬取BOSS直聘招聘信息

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