标签:element 斜杠 直接 pam group inux end class ``
寻找登录的post地址
- 在form表单中寻找action对应的url地址
- post的数据是input标签中name的值作为键,真正的用户名密码作为值的字典,post的url地址就是action对应的url地址
- 抓包,寻找登录的url地址
- 勾选perserve log按钮,防止页面跳转找不到url
- 寻找post数据,确定参数
- 参数不会变,直接用,比如密码不是动态加密的时候
- 参数会变
- 参数在当前的响应中
- 通过js生成
定位想要的js
- 选择会触发js时间的按钮,点击event listener,找到js的位置
- 通过chrome中的search all file来搜索url中关键字
- 添加断点的方式来查看js的操作,通过python来进行同样的操作
安装第三方模块
- pip install retrying
- 下载源码解码,进入解压后的目录,```python setup.py install```
- `***.whl` 安装方法 `pip install ***.whl`
json使用注意点
- json中的字符串都是双引号引起来的
- 如果不是双引号
- eval:能实现简单的字符串和python类型的转化
- replace:把单引号替换为双引号
- 往一个文件中写入多个json串,不再是一个json串,不能直接读取
- 一行写一个json串,按照行来读取
# coding=utf-8
import requests
import json
import sys
class BaiduFanyi:
def __init__(self,trans_str):
self.trans_str = trans_str
self.lang_detect_url = "http://fanyi.baidu.com/langdetect"
self.trans_url = "http://fanyi.baidu.com/basetrans"
self.headers = {"User-Agent":"Mozilla/5.0 (Linux; Android 5.1.1; Nexus 6 Build/LYZ28E) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Mobile Safari/537.36"}
def parse_url(self,url,data): #发送post请求,获取响应
response = requests.post(url,data=data,headers=self.headers)
return json.loads(response.content.decode())
def get_ret(self,dict_response):#提取翻译的结果
ret = dict_response["trans"][0]["dst"]
print("result is :",ret)
def run(self):#实现主要逻辑
#1.获取语言类型
#1.1 准备post的url地址,post_data
lang_detect_data = {"query":self.trans_str}
#1.2 发送post请求,获取响应
lang = self.parse_url(self.lang_detect_url,lang_detect_data)["lan"]
#1.3 提取语言类型
#2.准备post的数据
trans_data = {"query":self.trans_str,"from":"zh","to":"en"} if lang== "zh" else {"query":self.trans_str,"from":"en","to":"zh"}
#3.发送请求,获取响应
dict_response = self.parse_url(self.trans_url,trans_data)
#4.提取翻译的结果
self.get_ret(dict_response)
if __name__ == ‘__main__‘:
trans_str= sys.argv[1]
baidu_fanyi = BaiduFanyi(trans_str)
baidu_fanyi.run()
# coding=utf-8
import json
import requests
from parse_url import parse_url
from pprint import pprint
url = "https://m.douban.com/rexxar/api/v2/subject_collection/movie_showing/items?start=0&count=18&loc_id=108288"
html_str = parse_url(url)
# json.loads把json字符串转化为python类型
ret1 = json.loads(html_str)
# pprint(ret1)
# print(type(ret1))
# json.dumps能够把python类型转化为json字符串
with open("douban.json","w",encoding="utf-8") as f:
f.write(json.dumps(ret1,ensure_ascii=False,indent=4))
# f.write(str(ret1))
# with open("douban.json","r",encoding="utf-8") as f:
# ret2 = f.read()
# ret3 = json.loads(ret2)
# print(ret3)
# print(type(ret3))
# 使用json。load提取类文件对象中的数据
with open("douban.json","r",encoding="utf-8") as f:
ret4 = json.load(f)
print(ret4)
print(type(ret4))
#json.dump能够把python类型放入类文件对象中
with open("douban1.json","w",encoding="utf-8") as f:
json.dump(ret1,f,ensure_ascii=False,indent=2)
# coding=utf-8
import re
from parse_url import parse_url
import json
url = "http://36kr.com/"
html_str = parse_url(url)
ret = re.findall("<script>var props=(.*?),locationnal=",html_str)[0]
with open("36kr.json","w",encoding="utf-8") as f:
f.write(ret)
ret = json.loads(ret)
print(ret)
import requests,sys,json
class Automatic():
def __init__(self,translade_word):
self.translade_word = translade_word
self.langdetect_headers ={"User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Mobile Safari/537.36"}
self.langdetect_parpams = {"query": translade_word}
self.langdetect_url ="http://fanyi.baidu.com/langdetect"
self.translated_url = "http://fanyi.baidu.com/basetrans"
def langdetect(self):
response = requests.post(self.langdetect_url,headers = self.langdetect_headers,data=self.langdetect_parpams)
return json.loads(response.content.decode())[‘lan‘]
def get_data_language(self,language_word):
#
# if "zh" ==language_word:
# translade_data ={"query":self.translade_word,
# "from":"zh",
# "to":"en"}
# else:
# translade_data = {"query": self.translade_word,
# "from": language_word,
# "to": "zh"}
return {"query":self.translade_word,"from":"zh","to":"en"} if "zh" ==language_word else {"query": self.translade_word,"from": language_word,"to": "zh"}
def translade(self,translade_data):
response = requests.post(self.translated_url,data=translade_data,headers = self.langdetect_headers)
response_data = json.loads(response.text)
# print("1111111111",response_data)
return response_data
def get_ret(self,response_data):
data = response_data["trans"][0]["dst"]
print("{} 翻译后的结果:{}".format(self.translade_word, data))
def run(self):
language_word = self.langdetect()
translade_data= self.get_data_language(language_word)
response_data = self.translade(translade_data)
self.get_ret(response_data)
if __name__ == ‘__main__‘:
translade_word = sys.argv[1]
automatic = Automatic(translade_word)
automatic.run()
# coding=utf-8
import requests
from retrying import retry
headers={"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36"}
@retry(stop_max_attempt_number=3)
def _parse_url(url,method,data,proxies):
print("*"*20)
if method=="POST":
response = requests.post(url,data=data,headers=headers,proxies=proxies)
else:
response = requests.get(url,headers=headers,timeout=3,proxies=proxies)
assert response.status_code == 200
return response.content.decode()
def parse_url(url,method="GET",data=None,proxies={}):
try:
html_str = _parse_url(url,method,data,proxies)
except:
html_str = None
return html_str
if __name__ == ‘__main__‘:
url = "www.baidu.com"
print(parse_url(url))
正则使用的注意点
- `re.findall("a(.*?)b","str")`,能够返回括号中的内容,括号前后的内容起到定位和过滤的效果
- 原始字符串r,待匹配字符串中有反斜杠的时候,使用r能够忽视反斜杠带来的转义的效果
- 点号默认情况匹配不到`\n`
- `\s`能够匹配空白字符,不仅仅包含空格,还有`\t|\r\n`
xpath学习重点
- 使用xpath helper或者是chrome中的copy xpath都是从element中提取的数据,但是爬虫获取的是url对应的响应,往往和elements不一样
- 获取文本
- `a/text()` 获取a下的文本
- `a//text()` 获取a下的所有标签的文本
- `//a[text()=‘下一页‘]` 选择文本为下一页三个字的a标签
- `@符号`
- `a/@href`
- `//ul[@id="detail-list"]`
- `//`
- 在xpath最前面表示从当前html中任意位置开始选择
- `li//a` 表示的是li下任何一个标签
lxml使用注意点
- lxml能够修正HTML代码,但是可能会改错了
- 使用etree.tostring观察修改之后的html的样子,根据修改之后的html字符串写xpath
- lxml 能够接受bytes和str的字符串
- 提取页面数据的思路
- 先分组,渠道一个包含分组标签的列表
- 遍历,取其中每一组进行数据的提取,不会造成数据的对应错乱
# coding=utf-8
import requests
import json
class DoubanSpider:
def __init__(self):
self.url_temp_list = [
{
"url_temp": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_american_hot/items?start={}&count=18&loc_id=108288",
"country": "US"
},
{
"url_temp": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_english_hot/items?start={}&count=18&loc_id=108288",
"country": "UK"
},
{
"url_temp": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_domestic_hot/items?start={}&count=18&loc_id=108288",
"country": "CN"
}
]
self.headers = {
"User-Agent": "Mozilla/5.0 (Linux; Android 5.1.1; Nexus 6 Build/LYZ28E) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Mobile Safari/537.36"}
def parse_url(self, url): # 发送请求,获取响应
print(url)
response = requests.get(url, headers=self.headers)
return response.content.decode()
def get_content_list(self, json_str): # 提取是数据
dict_ret = json.loads(json_str)
content_list = dict_ret["subject_collection_items"]
total = dict_ret["total"]
return content_list, total
def save_content_list(self, content_list,country): # 保存
with open("douban.txt", "a", encoding="utf-8") as f:
for content in content_list:
content["country"] = country
f.write(json.dumps(content, ensure_ascii=False))
f.write("\n") # 写入换行符,进行换行
print("保存成功")
def run(self): # 实现主要逻辑
for url_temp in self.url_temp_list:
num = 0
total = 100 # 假设有第一页
while num < total + 18:
# 1.start_url
url = url_temp["url_temp"].format(num)
# 2.发送请求,获取响应
json_str = self.parse_url(url)
# 3.提取是数据
content_list, total = self.get_content_list(json_str)
# 4.保存
self.save_content_list(content_list,url_temp["country"])
# if len(content_list)<18:
# break
# 5.构造下一页的url地址,进入循环
num += 18
if __name__ == ‘__main__‘:
douban_spider = DoubanSpider()
douban_spider.run()
# coding=utf-8
import requests
import re
import json
class Neihan:
def __init__(self):
self.start_url = "http://neihanshequ.com/"
self.next_url_temp = "http://neihanshequ.com/joke/?is_json=1&app_name=neihanshequ_web&max_time={}"
self.headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36"}
def parse_url(self, url): # 发送请求
print(url)
response = requests.get(url, headers=self.headers)
return response.content.decode()
def get_first_page_content_list(self, html_str): # 提取第一页的数据
content_list = re.findall(r"<h1 class=\"title\">.*?<p>(.*?)</p>", html_str, re.S)
max_time = re.findall("max_time: ‘(.*?)‘,", html_str)[0]
return content_list, max_time
def save_content_list(self, content_list): # 保存
with open("neihan.txt", "a", encoding="utf-8") as f:
for content in content_list:
f.write(json.dumps(content, ensure_ascii=False))
f.write("\n")
print("保存成功")
def get_content_list(self, json_str): # 提取从第二页开始的json中的数据
dict_ret = json.loads(json_str)
data = dict_ret["data"]["data"]
content_list = [i["group"]["content"] for i in data]
max_time = dict_ret["data"]["max_time"]
has_more = dict_ret["data"]["has_more"]
return content_list, max_time, has_more
def run(self): # 实现主要逻辑
# 1.start_url
# 2.发送请求,获取响应
html_str = self.parse_url(self.start_url)
# 3.提取数据
content_lsit, max_time = self.get_first_page_content_list(html_str)
# 4.保存
self.save_content_list(content_lsit)
has_more = True # 有第二页
while has_more: # 内涵社区是用has_more 来判断是否有下一页的
# 5.构造下一页的url地址
next_url = self.next_url_temp.format(max_time)
# 6.发送请求,获取响应
json_str = self.parse_url(next_url)
# 7.提取数据,提取max_time
content_lsit, max_time, has_more = self.get_content_list(json_str)
# 8.保存
self.save_content_list(content_lsit)
# 9.循环5-8步
if __name__ == ‘__main__‘:
neihan = Neihan()
neihan.run()
# coding=utf-8
from lxml import etree
text = ‘‘‘ <div> <ul>
<li class="item-1"><a>first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a>
</ul> </div> ‘‘‘
html = etree.HTML(text)
print(html)
#查看element对象中包含的字符串
# print(etree.tostring(html).decode())
#获取class为item-1 li下的a的herf
ret1 = html.xpath("//li[@class=‘item-1‘]/a/@href")
print(ret1)
#获取class为item-1 li下的a的文本
ret2 = html.xpath("//li[@class=‘item-1‘]/a/text()")
print(ret2)
#每个li是一条新闻,把url和文本组成字典
for href in ret1:
item = {}
item["href"] = href
item["title"] = ret2[ret1.index(href)]
print(item)
print("*"*100)
#分组,根据li标签进行分组,对每一组继续写xpath
ret3 = html.xpath("//li[@class=‘item-1‘]")
print(ret3)
for i in ret3:
item= {}
item["title"] = i.xpath("a/text()")[0] if len(i.xpath("./a/text()"))>0 else None
item["href"] = i.xpath("./a/@href")[0] if len( i.xpath("./a/@href"))>0 else None
print(item)
# _*_coding: utf-8 _*_
import json
import requests
from parse_url import parse_url
import sys
from pprint import pprint
import re
class douban:
def __init__(self, url):
self.url = url
self.L_url = []
self.start = 0
self.html_str = ""
self.ret = {}
def get_total(self):
html_str = parse_url(self.url)
# json.loads把json字符串转化为python类型
ret1 = json.loads(html_str)
total = ret1["total"]
return total
def get_url(self, total):
while self.start < total + 50:
url = self.url.format(
self.start + 1, 50)
self.L_url.append(url)
self.start += 50
def get_name(self):
Wurl = self.url
reg = r‘https://m.douban.com/rexxar/api/v2/subject_collection/(.*?)/‘
name = re.findall(reg, Wurl)
return name[0] + ".json"
def data(self, name):
for url in self.L_url:
self.html_str = parse_url(url)
ret = json.loads(self.html_str)
with open(name, "a", encoding="utf-8") as f:
f.write(json.dumps(ret, ensure_ascii=False, indent=4))
def run(self):
total = self.get_total()
self.get_url(total=total)
name = self.get_name()
self.data(name=name)
if __name__ == ‘__main__‘:
url_dict = {
"美国": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_american_hot/items?os=android&start=0&count=18&loc_id=108288",
"英国": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_english_hot/items?os=android&start=0&count=18&loc_id=108288",
"韩国": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_korean_drama_hot/items?os=android&start=0&count=18&loc_id=108288",
"中国": "https://m.douban.com/rexxar/api/v2/subject_collection/filter_tv_domestic_hot/items?os=android&start=0&count=18&loc_id=108288"
}
Len = len(sys.argv)
for i in range(Len - 1):
url_name = sys.argv[i + 1]
url = url_dict[url_name]
print(url)
douban = douban(url)
douban.run()
标签:element 斜杠 直接 pam group inux end class ``
原文地址:https://www.cnblogs.com/MR-allen/p/10584063.html