前言
为了更好的掌握数据处理的能力,因而开启Python网络爬虫系列小项目文章。
- 小项目小需求驱动,每篇文章会使用两种以上的方式(Xpath、Bs4、PyQuery、正则)获取想要的数据。
- 博客系列完结后,将会总结各种方式。
一、需求
- 批量爬取简历
- 下载到本地文件中
二、分析
1. 查看网页源码(ctrl+u)
网页源码中有各简历下载模板地址,如下图。
2、进一步分析
进入具体简历模板页面
F12进行抓包 ,分析点击免费下载的具体流程。
分析接口
https://www.51386.com/jlmb/3860.html?act=reply
https://www.51386.com/jlmb/3860.html?act=succ(页面返回下载资源)
https://oss.51386.com/3860.doc?Expires=1667648595&OSSAccessKeyId=OpPa5NVGTtEGvNCR&Signature=KAMPsVBwfE6p1g0OZbvdSEDuwl0%3D(最后下载资源的请求路径)
分析js文件
https://img.51386.com/1802/head.js(ip统计来控制下载次数)
三、处理
获取简历模板url
from pyquery import PyQuery as pq
INDEX_URL = "https://www.51386.com/"
def get_download_url(code):
doc = pq(code)
# 通过-jlmblist class属性获取简历url
content = doc(".jlmblist")
resume_dict = {
}
for resume in content.items():
title = resume("a").attr("title")
url = resume("a").attr("href")
# 这里拼接了直接形成第二个接口https://www.51386.com/jlmb/3860.html?act=suc
resume_dict[title] = f"{
INDEX_URL}{
url}?act=succ"
return resume_dict
下载简历
import requests
import re
def get_resume_url(url):
headers ={
"referer": "https://www.51386.com/jlmb/4020.html?act=down"
}
res = requests.request("GET", url, headers=headers)
# print(res.text)
# 正则拿到oss下载资源
try:
deal = re.compile(r'"color:#08c" href="(?P<oss_url>.*?)">点击这里</a>',re.S)
result = deal.search(res.text)
oss_url = result.group("oss_url")
except Exception as e:
print(f"正则获取oss_url失败,{
e}")
return oss_url
整体代码
# -*- encoding:utf-8 -*-
__author__ = "Nick"
__created_date__ = "2022/10/21"
"""
待补充
1、下载受限(统计ip来控制下载)---代理IP
"""
import requests
from pyquery import PyQuery as pq
import re
HEADER = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36"}
INDEX_URL = "https://www.51386.com/"
# 获取页面源码
def get_index_code(url):
res = requests.request("GET",url=url, headers=HEADER)
res.encoding = "utf-8"
return res.text
# 获取简历下载地址
def get_download_url(code):
doc = pq(code)
content = doc(".jlmblist")
resume_dict = {
}
for resume in content.items():
title = resume("a").attr("title")
url = resume("a").attr("href")
resume_dict[title] = f"{
INDEX_URL}{
url}?act=succ"
return resume_dict
# 获取简历下载地址oss_url
def get_resume_url(url):
headers ={
"referer": "https://www.51386.com/jlmb/4020.html?act=down"
}
res = requests.request("GET", url, headers=headers)
# print(res.text)
# 正则拿到oss下载资源
try:
deal = re.compile(r'"color:#08c" href="(?P<oss_url>.*?)">点击这里</a>',re.S)
result = deal.search(res.text)
oss_url = result.group("oss_url")
except Exception as e:
print(f"正则获取oss_url失败,{
e}")
return oss_url
# 下载简历
def get_download_resume(url,name):
if url:
res = requests.get(url,headers=HEADER).content
f = open(f"resume/{
name}.doc",'wb')
f.write(res)
f.close()
else:
print("oss资源获取失败")
if __name__ == '__main__':
code = get_index_code(url="https://www.51386.com/jlmb/")
resume_dict = get_download_url(code)
try:
for title, url in resume_dict.items():
oss_url = get_resume_url(url)
get_download_resume(oss_url,title,ip_dict)
except Exception as e:
print(e)
四、运行效果
转载:https://blog.csdn.net/Uncle_wangcode/article/details/127452449
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