用python抓取智聯招聘資訊並存入excel

相思葉發表於2018-05-08

用python抓取智聯招聘資訊並存入excel

tags:python 智聯招聘匯出excel


引言:前一陣子是人們俗稱的金三銀四,跳槽的朋友很多,我覺得每個人都應該給自己做一下規劃,根據自己的進步作出調整。建議不要看到身邊的人漲了工資就盲目的心動。一般來說跳槽後要熟悉新的環境會浪費不少時間,如果現在的工作在氛圍和自身進步上還可以接受,其他比如待遇方面可以和公司協調解決。

本文參考了yaoyefengchen的部落格:文章連結,並進行了地域搜尋優化和將儲存方式由cvs改成大家常用的excel。下面進入正文

先說一下大概流程:
在智聯職位搜尋頁面上選好自己的搜尋條件後,發現連結地址為:

http://sou.zhaopin.com/jobs/searchresult.ashx?jl=北京&kw=php高階工程師&sm=0&re=2006&isfilter=1&p=1&sf=10001&st=15000

分析連結中的引數如下(過濾條件可以選擇不寫),並構造出請求的資料,header的設定只要可以訪問網頁即可。

paras = {
       `jl`: city,         # 搜尋城市
       `kw`: keyword,      # 搜尋關鍵詞
       `isadv`: 0,         # 是否開啟更詳細搜尋選項
       `isfilter`: 1,      # 是否對結果過濾
       `p`: page,          # 頁數
       `re`: region        # region的縮寫,地區,2005代表海淀
   }
   # sf=10001&st=15000這兩個是我篩選的工資區間,如果有這個需求可以自己新增引數。
    url = `https://sou.zhaopin.com/jobs/searchresult.ashx?` + urlencode(paras)

yaoyefengchen用的是正則匹配出職位,薪資,公司等資訊,並沒有提供具體地域(比如海淀還是朝陽)對應的region。我後來是用的xpath提取出了北京的各個地域組成字典,直接輸入地區的漢字就可以了。如下:

# 取搜尋頁面得到地域的對應數字 比如海淀對應2005
def parseHtmlToGetRegion(regionAddress):
    url = `http://sou.zhaopin.com/jobs/searchresult.ashx?jl=北京&sm=0&isfilter=1&p=1&re=2006`
    # 獲取代理ip地址 只取前五頁
    html= getHtml(url)
    regionId = html.xpath(`/html/body/div[3]/div[3]/div[1]/div[4]/div[1]/div[2]/a/@href`)
    region = html.xpath(`/html/body/div[3]/div[3]/div[1]/div[4]/div[1]/div[2]/a/text()`)
    #解析一下region中的編號去掉無效內容
    regionList = {}
    for i,regionHref in enumerate(regionId):
        if i==0:
            continue
        regionList[region[i]] = regionId[i][-4::]
    return regionList.get(regionAddress)

另外,cvs格式在用一些工具比如excel開啟的時候經常出現亂碼,需要轉化或者下載一些專用的軟體。我覺得很不方便,所以直接存成了excel格式,不得不說,在存資料到excel檔案這方面,python簡直比php容易太多了。

# 存入excle
def write_xls_file(filename, headers, jobs):
    table = xlwt.Workbook(encoding=`utf8`)
    table_page = table.add_sheet(`jobs`)

    for i,header in enumerate(headers):
        table_page.write(0,i,header)
    for j,items in enumerate(jobs,start = 1):
        for q,item in items.items():
            table_page.write(j, q, item)
    table.save(filename)

完整程式碼如下,可以直接使用。別忘了儲存文章最下面的user_agents.py檔案

#-*- coding: utf-8 -*-
```
Created on 2018-05-7
@author: Vinter_he
```
import re
import requests
import xlwt
from tqdm import tqdm
from urllib.parse import urlencode
from requests.exceptions import RequestException
from lxml import etree
import user_agents
import random
import datetime

def get_one_page(city, keyword, region, page):
   ```
   獲取網頁html內容並返回
   ```
   paras = {
       `jl`: city,         # 搜尋城市
       `kw`: keyword,      # 搜尋關鍵詞
       `isadv`: 0,         # 是否開啟更詳細搜尋選項
       `isfilter`: 1,      # 是否對結果過濾
       `p`: page,          # 頁數
       `re`: region        # region的縮寫,地區,2005代表海淀
   }

   headers = {
       `User-Agent`: `Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36`,
       `Host`: `sou.zhaopin.com`,
       `Referer`: `https://www.zhaopin.com/`,
       `Accept`: `text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8`,
       `Accept-Encoding`: `gzip, deflate, br`,
       `Accept-Language`: `zh-CN,zh;q=0.9`
   }

   url = `https://sou.zhaopin.com/jobs/searchresult.ashx?` + urlencode(paras)
   try:
       # 獲取網頁內容,返回html資料
       response = requests.get(url, headers=headers)
       # 通過狀態碼判斷是否獲取成功
       if response.status_code == 200:
           return response.text
       return None
   except RequestException as e:
       return None

def parse_one_page(html):
   ```
   解析HTML程式碼,提取有用資訊並返回
   ```
   # 正規表示式進行解析
   pattern = re.compile(`<a style=.*? target="_blank">(.*?)</a>.*?`        # 匹配職位資訊
       `<td class="gsmc"><a href="(.*?)" target="_blank">(.*?)</a>.*?`     # 匹配公司網址和公司名稱
       `<td class="zwyx">(.*?)</td>`, re.S)                                # 匹配月薪

   # 匹配所有符合條件的內容
   items = re.findall(pattern, html)

   for item in items:
       job_name = item[0]
       job_name = job_name.replace(`<b>`, ``)
       job_name = job_name.replace(`</b>`, ``)
       yield {
           0: job_name,
           1: item[1],
           2: item[2],
           3: item[3]
       }

# 存入excle
def write_xls_file(filename, headers, jobs):
    table = xlwt.Workbook(encoding=`utf8`)
    table_page = table.add_sheet(`jobs`)

    for i,header in enumerate(headers):
        table_page.write(0,i,header)
    for j,items in enumerate(jobs,start = 1):
        for q,item in items.items():
            table_page.write(j, q, item)
    table.save(filename)

def main(city, keyword, region, pages):
   ```
   主函式
   ```
   filename = `智聯_` +datetime.date.today().strftime(`%Y-%m-%d`)+ city + `_` + keyword + `.xls`
   headers = [`job`, `website`, `company`, `salary`]
   jobs = []
   for i in tqdm(range(pages)):
       ```
       獲取該頁中所有職位資訊,寫入xls檔案
       ```
       region = parseHtmlToGetRegion(region)
       html = get_one_page(city, keyword, region, i)
       items = parse_one_page(html)
       for item in items:
           jobs.append(item)
   write_xls_file(filename, headers, jobs)

def getHtml(url):
    response = requests.get(url=url, headers={`User-Agent`:random.choice(user_agents.user_agents)}, timeout=10).text
    html = etree.HTML(response)
    return html

# 取搜尋頁面得到地域的對應數字 比如海淀對應2005
def parseHtmlToGetRegion(regionAddress):
    url = `http://sou.zhaopin.com/jobs/searchresult.ashx?jl=北京&sm=0&isfilter=1&p=1&re=2006`
    # 獲取代理ip地址 只取前五頁
    html= getHtml(url)
    regionId = html.xpath(`/html/body/div[3]/div[3]/div[1]/div[4]/div[1]/div[2]/a/@href`)
    region = html.xpath(`/html/body/div[3]/div[3]/div[1]/div[4]/div[1]/div[2]/a/text()`)
    #解析一下region中的編號去掉無效內容
    regionList = {}
    for i,regionHref in enumerate(regionId):
        if i==0:
            continue
        regionList[region[i]] = regionId[i][-4::]
    return regionList.get(regionAddress)

if __name__ == `__main__`:
   main(`北京`, `php工程師`, `朝陽`, 10)

下面是和以前一樣的user_agents.py檔案 這個檔案以後就不給了大家可以自己儲存一下備用

#!/usr/bin/python
# -*- coding:utf-8 -*-
```
Created on 2018-04-27

@author: Vinter_he
```

user_agents = [
    `Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11`,
    `Opera/9.25 (Windows NT 5.1; U; en)`,
    `Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)`,
    `Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.5 (like Gecko) (Kubuntu)`,
    `Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12`,
    `Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9`
    
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
    "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]

希望大家多評論交流,互相學習


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