python爬取51job网站职位信息并绘图_python岗位[通俗易懂]

1 定义抓取内容

在items.py中添加如下代码：

class Job51Item(scrapy.Item):
    title = scrapy.Field()
    salary = scrapy.Field()
    job_city = scrapy.Field()
    requirement = scrapy.Field() # 经验、学历、人数
    company_name = scrapy.Field()
    company_size = scrapy.Field()
    publish_date = scrapy.Field()
    job_advantage_tags = scrapy.Field() # 福利
     url = scrapy.Field()

2 编写爬虫

由于51job的反爬虫机制，其招聘信息数据并不是如游览器一般直接展示出来，而是隐藏在script标签内

在spiders文件夹新建文件job_51.py，并编写如下代码：

# -*- coding: utf-8 -*-
import json
import re
import scrapy
from scrapy.http import Request

from job.items import Job51Item


class Job51Spider(scrapy.Spider):
    name = 'job51'
    allowed_domains = ['jobs.51job.com', 'search.51job.com']
    start_urls = [
        'https://search.51job.com/list/090200,000000,0000,00,9,99,python,2,'
        '3.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0'
        '&dibiaoid=0&line=&welfare=']

    def parse(self, response):
        body = response.body.decode("gbk")
        with open("b.html","w",encoding="utf-8") as f:
            f.write(body)
        data = re.findall('window.__SEARCH_RESULT__ =(.+)}</script>', str(body))[0] + "}"
        data = json.loads(data)
        item = Job51Item()
        for result in data["engine_search_result"]:
            item["requirement"] = result["attribute_text"]
            item["url"] = result["job_href"]
            item["title"] = result["job_name"]
            item["salary"] = result["issuedate"]
            item["job_city"] = result["workarea_text"]
            item["publish_date"] = result["issuedate"]
            item["job_advantage_tags"] = result["jobwelf"]
            item["company_name"] = result["company_name"]
            item["company_size"] = result["companysize_text"]
            yield item
        for i in range(2, 10):
            url = f"https://search.51job.com/list/090200,000000,0000,00,9,99,python,2,{i}.html?lang=c&postchannel" \
                  f"=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line" \
                  f"=&welfare= "
            yield Request(url=url, callback=self.parse, )

3 定义管道

3.1 启用pipelines

在settings.py中添加如下代码：

ITEM_PIPELINES = {
    'job.pipelines.JobPipeline': 300,
}

注：或者取消该部分内容注释

3.2 编写管道代码

在pipelines.py编写如下代码：

import json

from itemadapter import ItemAdapter


class JobPipeline:
    def __init__(self):
        self.fp = open('result.json', 'w', encoding='utf-8') 

    def open_spider(self, spider):
        self.fp.write("[")

    def process_item(self, item, spider):
        data = json.dumps(dict(item), ensure_ascii=False)
        self.fp.write(data+',\n')
        return item

    def close_spider(self, spider):
        self.fp.write("]")
        self.fp.close()
        print("spider end")

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