python3 scrapy爬取智联招聘存mongodb

约定不等于承诺〃 2021-06-11 15:11 576阅读 0赞

> 写在前面，这次写智联招聘的爬虫是其次，主要的是通过智联招聘上的数据信息弄一个数据挖掘的小项目，这一篇主要是如何一气呵成的将智联招聘上的招聘信息给爬下来

## （一）scrapy框架的使用 ##

scrapy框架是python爬虫里面一个比较出色的框架，支持分布式，里面内部已经实现了从爬取解析到下载的一条龙服务，用这个框架或者是基于这个框架，可以很大程度上避免了一些不必要的bug，当然前提是你需要懂得并能去使用它。scrapy的简单安装与使用这里就暂时不介绍了，大家可以借助搜索引擎了解一下

## （二） 创建项目 ##

选好一个适合工作的空间目录，使用命令生成一个scrapy项目，我这选择了**E盘**  
记不住scrapy命令的可以直接在dos输入 `scrapy` ，然后会给出一些提示的。

命令一：  
`scrapy startproject zhilianspider`

这里是创建是一个工程，我们再创建一个spider，  
命令二：  
`scrapy genspider zhilian "https://m.zhaopin.com/beijing"`

![image.png][]

## （三）pycharm打开工程 ##

尽量像这样子打开，麻烦会少些。马赛克的是我自己创建的，下面会公开的，没有马赛克的是最原始的生成工程的文件。

![image.png][image.png 1]

## （四）编写spider ##

（1）item.py

import scrapy
     class ZhilianspiderItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() job_name = scrapy.Field() job_link = scrapy.Field() job_info = scrapy.Field() job_tags = scrapy.Field() company = scrapy.Field() address = scrapy.Field() salary = scrapy.Field()

![image.png][image.png 2]

获取的信息如下：  
![image.png][image.png 3]

--------------------

（2）pipelines.py （数据存入mongodb中）

import pymongo
    
    
    class ZhilianspiderPipeline(object):
        def __init__(self):
            self.client = pymongo.MongoClient("localhost",connect=False)
            db = self.client["zhilian"]
            self.collection = db["python"]
    
        def process_item(self, item, spider):
            content = dict(item)
            self.collection.insert(content)
            print("###################已经存入MongoDB########################")
            return item
    
        def close_spider(self,spider):
            self.client.close()
            pass

![image.png][image.png 4]

这里用的本地mongodb数据库

--------------------

（3）middlewares.py (主要是做一些被反爬的处理)

from zhilianspider.ua_phone import ua_list
    
    
    """ Ua 头信息 """
    class UserAgentmiddleware(UserAgentMiddleware):
    
        def process_request(self, request, spider):
            agent = random.choice(ua_list)
            request.headers['User-Agent'] = agent

ua\_phone.py里的内容：

ua_list = [
        "HTC_Dream Mozilla/5.0 (Linux; U; Android 1.5; en-ca; Build/CUPCAKE) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.2; U; de-DE) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/234.40.1 Safari/534.6 TouchPad/1.0",
        "Mozilla/5.0 (Linux; U; Android 1.5; en-us; sdk Build/CUPCAKE) AppleWebkit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 2.1; en-us; Nexus One Build/ERD62) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; Nexus One Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 1.5; en-us; htc_bahamas Build/CRB17) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 2.1-update1; de-de; HTC Desire 1.19.161.5 Build/ERE27) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; Sprint APA9292KT Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 1.5; de-ch; HTC Hero Build/CUPCAKE) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; ADR6300 Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 2.1; en-us; HTC Legend Build/cupcake) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 1.5; de-de; HTC Magic Build/PLAT-RC33) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1 FirePHP/0.3",
        "Mozilla/5.0 (Linux; U; Android 1.6; en-us; HTC_TATTOO_A3288 Build/DRC79) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 1.0; en-us; dream) AppleWebKit/525.10 (KHTML, like Gecko) Version/3.0.4 Mobile Safari/523.12.2",
        "Mozilla/5.0 (Linux; U; Android 1.5; en-us; T-Mobile G1 Build/CRB43) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari 525.20.1",
        "Mozilla/5.0 (Linux; U; Android 1.5; en-gb; T-Mobile_G2_Touch Build/CUPCAKE) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 2.0; en-us; Droid Build/ESD20) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; Droid Build/FRG22D) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 2.0; en-us; Milestone Build/ SHOLS_U2_01.03.1) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.0.1; de-de; Milestone Build/SHOLS_U2_01.14.0) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/525.10 (KHTML, like Gecko) Version/3.0.4 Mobile Safari/523.12.2",
        "Mozilla/5.0 (Linux; U; Android 0.5; en-us) AppleWebKit/522 (KHTML, like Gecko) Safari/419.3",
        "Mozilla/5.0 (Linux; U; Android 1.1; en-gb; dream) AppleWebKit/525.10 (KHTML, like Gecko) Version/3.0.4 Mobile Safari/523.12.2",
        "Mozilla/5.0 (Linux; U; Android 2.0; en-us; Droid Build/ESD20) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.1; en-us; Nexus One Build/ERD62) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; Sprint APA9292KT Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-us; ADR6300 Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 2.2; en-ca; GT-P1000M Build/FROYO) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
        "Mozilla/5.0 (Linux; U; Android 3.0.1; fr-fr; A500 Build/HRI66) AppleWebKit/534.13 (KHTML, like Gecko) Version/4.0 Safari/534.13",
        "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/525.10 (KHTML, like Gecko) Version/3.0.4 Mobile Safari/523.12.2",
        "Mozilla/5.0 (Linux; U; Android 1.6; es-es; SonyEricssonX10i Build/R1FA016) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
        "Mozilla/5.0 (Linux; U; Android 1.6; en-us; SonyEricssonX10i Build/R1AA056) AppleWebKit/528.5 (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1",
    ]

![image.png][image.png 5]

--------------------

（4）settings.py 文件的设置

![image.png][image.png 6]

主要是关闭了robots协议，延迟0.5秒发生请求，UA头设置，pipeline下载设置。

SPIDER_MIDDLEWARES = {
       'zhilianspider.middlewares.UserAgentmiddleware': 400,
    }
    
    ITEM_PIPELINES = {
        'zhilianspider.pipelines.ZhilianspiderPipeline': 300,
    }

--------------------

（5）zhilian.py (spider解析)

# -*- coding: utf-8 -*-
    import scrapy
    from zhilianspider.items import ZhilianspiderItem
    from bs4 import BeautifulSoup
    
    class ZhilianSpider(scrapy.Spider):
        name = 'zhilian'
        allowed_domains = ['m.zhaopin.com']
        # start_urls = ['https://m.zhaopin.com/hangzhou/']
        start_urls = ['https://m.zhaopin.com/beijing-530/?keyword=python&pageindex=1&maprange=3&islocation=0']
        base_url  = 'https://m.zhaopin.com/'
        def parse(self, response):
            print(response.url)
            # 这里是body 而不是text
            soup = BeautifulSoup(response.body,'lxml')
            all_sec = soup.find('div',class_='r_searchlist positiolist').find_all('section')
            for sec in all_sec:
                d_link = sec.find('a',class_='boxsizing')['data-link']
                detail_link = self.base_url+d_link
                if detail_link:
                    yield scrapy.Request(detail_link,callback=self.parse_detail)
    
            # 是否有下一页的链接
            if soup.find('a',class_='nextpage'):
                next_url = self.base_url+soup.find('a',class_='nextpage')['href']
                print('next_url ',next_url)
                # 若果有重复的，则不进行过滤
                yield scrapy.Request(next_url,callback=self.parse,dont_filter=True)
    
    
        def parse_detail(self,response):
            item = ZhilianspiderItem()
            item['job_link'] = response.url
            item['job_name'] = response.xpath('//*[@class="job-name fl"]/text()')[0].extract()
            item['company'] = response.xpath('//*[@class="comp-name"]/text()')[0].extract()
            item['address'] = response.xpath('//*[@class="add"]/text()').extract_first()
            item['job_info'] = ''.join(response.xpath('//*[@class="about-main"]/p/text()').extract())
            item['salary'] = response.xpath('//*[@class="job-sal fr"]/text()')[0].extract()
            item['job_tags'] = ';'.join(response.xpath("//*[@class='tag']/text()").extract())
            yield item
            pass

--------------------

## （五）运行spider ##

*  方式一：scrapy crawl zhilian
 *  方式二（建议）：创建一个run.py 文件，然后运行

这里我用的是第二种方式。直接右键运行就可以了，这样方便许多。

代码截图：

![image.png][image.png 7]

## （六）mongodb数据展示 ##

![数量][1240]

![字段显示][1240 1]

一共爬取了北京python岗位4541条数据。

下面将在房天下使用scrapy\_redis进行分布式爬取租房信息。

[image.png]: /images/20210529/dcb91d8aa30b4c54bffaa78cbab9de57.png
[image.png 1]: /images/20210529/2d1ca3c7d33c4dcc893eb907a746d016.png
[image.png 2]: /images/20210529/c7c811ec665e4e8bba1367e4c28d1008.png
[image.png 3]: /images/20210529/691a4adefb8441b19ea5592bd10f2048.png
[image.png 4]: /images/20210529/d364f6b03d6149828fe0e78a3196a34a.png
[image.png 5]: /images/20210529/3bf6b79484f84bfcb281744edf9a428f.png
[image.png 6]: /images/20210529/401b20d2c5c44a5eaf6761c64aec39af.png
[image.png 7]: /images/20210529/bbe3621cb94a4e3ea4d93cc2f7663d51.png
[1240]: /images/20210529/2fd703701e3046578c0855473ca5db44.png
[1240 1]: /images/20210529/5a6fba61f1d44c718ba626b40748c87e.png