标签：write 爬虫 源码 基于 获取 pos load elf hup
# 安装requests包：pip install requests
import requests
response = requests.get(‘https://www.baidu.com/more/‘)
print(response) # <Response [200]>
headers = {
# 浏览器类型
‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36‘
}
print(response.content.decode(‘utf-8‘))
# post 请求
import requests
url = ‘https://fanyi.baidu.com/langdetect‘
form_data = {
‘query‘:‘爬虫‘
}
headers = {
‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36‘
}
response = requests.post(url,data=form_data,headers = headers)
print(response.json())
‘‘‘
xpath语法
// -> 跟节点
/ -> 节点
@ -> 属性
‘‘‘
import requests
from lxml import etree
url = ‘https://www.cnblogs.com/xyxuan/p/14336276.html‘
headers = {
‘user-agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36‘
}
# 获取网页数据
response = requests.get(url,headers = headers).content.decode(‘utf-8‘)
# 提取网页图片地址
html = etree.HTML(response)
img_url = html.xpath(‘//p/img/@src‘)
print(img_url)
好啦，实战开始！！！
直接上源码，以爬取51Job的职位信息为例，可以根据自己需要抓取的网站替换 URL & headers
"""
@ Time:2021/06/15
利用python爬取职位信息，并写入CSV文件中
* 数据来源: 51job
* 开发环境：win10、python3.9
* 开发工具：pycharm、Chrome
项目思路：
1. 首先列出需要获取的数据信息：[‘职位名称‘, ‘公司名称‘, ‘薪资‘,‘工作地点‘,‘公司类型‘,‘其他‘]
2. 对页面数据进行解析，对页面数据进行JSON格式化，找出所需要的字段，并根据需要进行分类
3. 将获取的数据写入到CSV文件中【注：运行代码时，CSV文件不能是打开的状态，不然会报文件找不到】
"""
import requests
import time
import csv
def inner():
"""
简单的装饰器，主要用于console窗口打印或者写入到TXT文件时，看起来一目了然
:return:
"""
print(‘******************************************\n‘)
def RequestsTools(url, headers):
"""
爬虫请求工具参数
:param headers: 请求头
:param url: 请求地址
:return: json格式数据
"""
response = requests.get(url=url, headers=headers).json()
return response
def Index(page):
"""
根据页数查询数据函数
:param page:页数
"""
print(‘@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 第‘ + str(page) + ‘页 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\n‘)
# 请求头
headers = {
‘Accept‘: ‘application/json, text/javascript, */*; q=0.01‘,
‘Cookie‘: ‘adv=adsnew%3D1%26%7C%26adsnum%3D7093970%26%7C%26adsresume%3D1%26%7C%26adsfrom%3Dhttps%253A%252F%252Fwww.baidu.com%252Fother.php%253Fsc.Kf00000T8huPAl74RAWWief16RqsEaFV3GEpSPlG_RH0OAZZM913BX4XW42Rq9wSaxNCEdrFH59E8nm_o2Blo0QXlwIwEzKH3XKfx9bWUnDd6UIPrw7IjCBTkDu4QJYRQsPbuYCnHiw1COgZeWIT1Q5-pquOVZXVfbnqRTyPXgbOsPGr-2-rTiM16KOck4fyM8ye8sI3nKQch1AbJ0l52PBRzExL.DR_NR2Ar5Od66CHnsGtVdXNdlc2D1n2xx81IZ76Y_XPhOWEtUrorgAs1SOOo_9OxOBI5lqAS61kO56OQS9qxuxbSSjO_uPqjqxZOg7SEWSyWxSrOSFO_OguCOBxQetZO03x501SOOoCgOQxG9YelZ4EvOqJGMqEOggjSS4Wov_f_lOA7MuvyNdleQeAI1PMAeB-5Wo9Eu88lN2s1f_TTMHYv00.TLFWgv-b5HDkrfK1ThPGujYknHb0THY0IAYqPH7JUvc0IgP-T-qYXgK-5H00mywxIZ-suHY10ZIEThfqPH7JUvc0ThPv5HD0IgF_gv-b5HDdnWT1rHcLrj60UgNxpyfqnHfzP1f3rHD0UNqGujYknjb1rj0LP6KVIZK_gv-b5HDznWT10ZKvgv-b5H00pywW5R420ZKGujYz0APGujY1rHm0mLFW5HcvPH6s%2526ck%253D2896.2.223.275.159.314.188.588%2526dt%253D1623736783%2526wd%253D51job%2526tpl%253Dtpl_12273_25609_20875%2526l%253D1527392788%2526us%253DlinkName%25253D%252525E6%252525A0%25252587%252525E9%252525A2%25252598-%252525E4%252525B8%252525BB%252525E6%252525A0%25252587%252525E9%252525A2%25252598%252526linkText%25253D%252525E3%25252580%25252590%252525E5%25252589%2525258D%252525E7%252525A8%2525258B%252525E6%25252597%252525A0%252525E5%252525BF%252525A751Job%252525E3%25252580%25252591-%25252520%252525E5%252525A5%252525BD%252525E5%252525B7%252525A5%252525E4%252525BD%2525259C%252525E5%252525B0%252525BD%252525E5%2525259C%252525A8%252525E5%25252589%2525258D%252525E7%252525A8%2525258B%252525E6%25252597%252525A0%252525E5%252525BF%252525A7%2521%252526linkType%25253D%26%7C%26; guid=fa4573e0cb7f90a6371f267812a399a8; slife=lowbrowser%3Dnot%26%7C%26; nsearch=jobarea%3D%26%7C%26ord_field%3D%26%7C%26recentSearch0%3D%26%7C%26recentSearch1%3D%26%7C%26recentSearch2%3D%26%7C%26recentSearch3%3D%26%7C%26recentSearch4%3D%26%7C%26collapse_expansion%3D; search=jobarea%7E%60020000%7C%21ord_field%7E%600%7C%21recentSearch0%7E%60020000%A1%FB%A1%FA000000%A1%FB%A1%FA0000%A1%FB%A1%FA00%A1%FB%A1%FA99%A1%FB%A1%FA%A1%FB%A1%FA99%A1%FB%A1%FA99%A1%FB%A1%FA99%A1%FB%A1%FA99%A1%FB%A1%FA9%A1%FB%A1%FA99%A1%FB%A1%FA%A1%FB%A1%FA0%A1%FB%A1%FA%C8%ED%BC%FE%B2%E2%CA%D4%B9%A4%B3%CC%CA%A6%A1%FB%A1%FA2%A1%FB%A1%FA1%7C%21‘,
‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.77 Safari/537.36‘
}
url = ‘https://search.51job.com/list/020000,000000,0000,00,9,99,%25E8%25BD%25AF%25E4%25BB%25B6%25E6%25B5%258B%25E8%25AF%2595%25E5%25B7%25A5%25E7%25A8%258B%25E5%25B8%2588,‘ ‘2,{}.html?lang=c&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare=‘.format(page)
response = RequestsTools(url,headers)
# 需要获取的信息
information = [‘job_name‘, ‘company_name‘, ‘providesalary_text‘, ‘workarea_text‘, ‘companytype_text‘,‘attribute_text‘]
# top 广告位
def top():
list = []
data = [‘top_ads‘, ‘auction_ads‘, ‘market_ads‘]
for top in data:
if len(response[top]):
for i in information:
content = response[top][0][i]
list.append(content)
print(list)
write(list)
list = []
inner()
time.sleep(6) # 让他睡一会吧，不然查询太过频繁IP被封了
else:
print(top + ‘广告位为空！！！\n‘)
# 正常广告位
def ordinarys():
list = []
ordinarys = response[‘engine_search_result‘]
for ordinary in ordinarys:
for i in information:
content = ordinary[i]
list.append(content)
print(list)
write(list)
list = []
inner()
time.sleep(6)
if page == 1:
top()
ordinarys()
else:
ordinarys()
# 写入数据到CSV文件中
def write(list):
path = r‘D:\learn\project\reptile\51job.csv‘
with open(path, mode="a", encoding="gbk", newline=‘‘) as f:
# 基于文件对象构建CSV写入对象
csv_writer = csv.writer(f)
# 将构建好的数组依次写入表格，每次调用会自动换行
csv_writer.writerow(list)
# 关闭文件
f.close()
if __name__ == ‘__main__‘:
for page in range(0,11):
page += 1
Index(page)
同样的，也可以写入的txt文件中，且不需要转换为List 格式，直接str格式即可写入，样式自己调整~
import requests
"""
需要获取的信息
"""
information = [‘job_name‘, ‘company_name‘, ‘providesalary_text‘, ‘workarea_text‘, ‘companytype_text‘, ‘attribute_text‘]
"""
装饰器
"""
def inner():
print(‘******************************************\n‘)
def url(num):
print(‘@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 第‘+str(num)+‘页 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\n‘)
wfile(‘@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 第‘+str(num)+‘页 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\n‘)
# 动态url
url = ‘https://search.51job.com/list/020000,000000,0000,32,9,99,%25E8%25BD%25AF%25E4%25BB%25B6%25E6%25B5%258B%25E8%25AF%2595%25E5%25B7%25A5%25E7%25A8%258B%25E5%25B8%2588,2,‘+ str(num) +‘.html?lang=c&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare=‘
headers = {
# 请求类型
‘Accept‘: ‘application/json, text/javascript, */*; q=0.01‘,
‘Referer‘: ‘https://search.51job.com/list/020000,000000,0000,32,9,99,%25E8%25BD%25AF%25E4%25BB%25B6%25E6%25B5%258B%25E8%25AF%2595%25E5%25B7%25A5%25E7%25A8%258B%25E5%25B8%2588,2,‘+ str(num) +‘.html?lang=c&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare=‘,
‘user-agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36‘
}
# 建立一个session，用来存储cookies
# session = requests.session().get(url,headers = headers)
# cokie = session.cookies
response = requests.get(url=url,headers=headers).json()
# top 广告位
def top():
data = [‘top_ads‘,‘auction_ads‘,‘market_ads‘]
for top in data:
if len(response[top]):
for i in information:
content = response[top][0][i]
print(str(content))
wfile(str(content))
wfile(‘\n‘)
inner()
wfile(‘******************************************\n‘)
else:
print(top + ‘广告位为空！！！\n‘)
wfile(top + ‘广告位为空！！！\n‘)
inner()
wfile(‘******************************************\n‘)
# 正常广告位
def ordinarys():
ordinarys = response[‘engine_search_result‘]
for ordinary in ordinarys:
for i in information:
content = ordinary[i]
print(content)
wfile(str(content))
wfile(‘\n‘)
inner()
wfile(‘******************************************\n‘)
if num == 1:
top()
ordinarys()
else:
ordinarys()
# 将文件写入到excel中 ---[‘w‘:覆盖写模式，‘a’：追加写模式]
def wfile(reptile):
with open("/Users/yexuan/python/python_reptile/information.txt", mode="a", encoding="utf-8") as f:
for line in reptile:
f.write(line)
if __name__ == ‘__main__‘:
number = 1
while number <= 10:
url(number)
number += 1
bingo~
下一步计划，将爬出的数据通过数据可视化图形显示@.@
标签：write 爬虫 源码 基于 获取 pos load elf hup
原文地址：https://www.cnblogs.com/xyxuan/p/14886892.html
