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「docker实战篇」python的docker爬虫技术-pyt

「docker实战篇」python的docker爬虫技术-pyt

作者: IT人故事会 | 来源:发表于2019-04-07 07:50 被阅读13次

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原文链接地址：「docker实战篇」python的docker爬虫技术-python脚本app抓取（13）

上次已经分析出来具体的app的请求连接了，本次主要说说python的开发，抓取APP里面的信息。源码：https://github.com/limingios/dockerpython.git

分析app数据包

查看分析

解析出来的header

夜神配置

python代码，爬取分类

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm

import requests

#header内容比较多，因为各个厂家的思路不同，
#fiddler爬取出来的字段比较多，有些内容应该是非必填的，只能在实际的时候尝试注释一些来试。
def handle_request(url,data):


    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    print(response.text)

handle_index()

爬取详情，信息通过分类找到里面的详情

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue

#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    "_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400"
                }
                #print(data_2)
                queue_list.put(data_2)


handle_index()
print(queue_list.qsize())
image.png

分类菜谱内部的详情信息

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue

#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    #"_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400",
                    "order":"0"
                }
                #print(data_2)
                queue_list.put(data_2)

def handle_caipu_list(data):
    print("当前的食材：",data["keyword"])
    caipu_list_url = "http://api.douguo.net/recipe/s/0/20";
    caipu_response = handle_request(caipu_list_url, data)
    caipu_response_dict = json.loads(caipu_response.text)
    for caipu_item in caipu_response_dict["result"]["list"]:
        caipu_info ={}
        caipu_info["shicai"] = data["keyword"]
        if caipu_item["type"]==13:
            caipu_info["user_name"] = caipu_item["r"]["an"]
            caipu_info["shicai_id"] = caipu_item["r"]["id"]
            caipu_info["describe"] = caipu_item["r"]["cookstory"].replace("\n","").replace(" ","")
            caipu_info["caipu_name"] = caipu_item["r"]["n"]
            caipu_info["zuoliao_list"] = caipu_item["r"]["major"]
            print(caipu_info)
        else:
            continue


handle_index()
handle_caipu_list(queue_list.get())

菜品内部的详情信息

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue

#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    #"_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400",
                    "order":"0"
                }
                #print(data_2)
                queue_list.put(data_2)

def handle_caipu_list(data):
    print("当前的食材：",data["keyword"])
    caipu_list_url = "http://api.douguo.net/recipe/s/0/20";
    caipu_response = handle_request(caipu_list_url, data)
    caipu_response_dict = json.loads(caipu_response.text)
    for caipu_item in caipu_response_dict["result"]["list"]:
        caipu_info ={}
        caipu_info["shicai"] = data["keyword"]
        if caipu_item["type"]==13:
            caipu_info["user_name"] = caipu_item["r"]["an"]
            caipu_info["shicai_id"] = caipu_item["r"]["id"]
            caipu_info["describe"] = caipu_item["r"]["cookstory"].replace("\n","").replace(" ","")
            caipu_info["caipu_name"] = caipu_item["r"]["n"]
            caipu_info["zuoliao_list"] = caipu_item["r"]["major"]
            #print(caipu_info)
            detail_url = "http://api.douguo.net/recipe/detail/"+ str(caipu_info["shicai_id"])
            detail_data ={
                "client":"4",
                "_session":"1547000257341354730010002552",
                "author_id":"0",
                "_vs":"2803",
                "ext":'{"query": {"kw": "'+data["keyword"]+'", "src": "2803", "idx": "1", "type": "13", "id": '+str(caipu_info["shicai_id"])+'}}'
            }

            detail_reponse = handle_request(detail_url,detail_data)
            detail_reponse_dic = json.loads(detail_reponse.text)
            caipu_info["tips"] = detail_reponse_dic["result"]["recipe"]["tips"]
            caipu_info["cookstep"] = detail_reponse_dic["result"]["recipe"]["cookstep"]
            print(json.dumps(caipu_info))

        else:
            continue


handle_index()
handle_caipu_list(queue_list.get())

将数据保存在mongodb中

  • 通过vagrant 安装虚拟机
vagrant up
  • 进入虚拟机

ip 192.168.66.100

su -
#密码：vagrant
docker
  • 拉取mongodb的镜像

https://hub.docker.com/r/bitnami/mongodb
默认端口：27017

docker pull bitnami/mongodb:latest
  • 创建mongodb的容器
mkdir bitnami
cd bitnami
mkdir mongodb
docker run -d -v /path/to/mongodb-persistence:/root/bitnami -p 27017:27017 bitnami/mongodb:latest

#关闭防火墙
systemctl stop firewalld

用第三方工具连接

连接mongodb的工具

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/11 0:53
# @Author  :  liming
# @Site    : 
# @File    : handle_mongodb.py
# @url    : idig8.com
# @Software: PyCharm

import pymongo
from pymongo.collection import Collection

class Connect_mongo(object):
    def __init__(self):
        self.client = pymongo.MongoClient(host="192.168.66.100",port=27017)
        self.db_data = self.client["dou_guo_mei_shi"]

    def insert_item(self,item):
        db_collection = Collection(self.db_data,'dou_guo_mei_shi_item')
        db_collection.insert(item)

# 暴露出来
mongo_info = Connect_mongo()

python爬取的数据通过mongo的工具保存到centos7的docker镜像中

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue
from handle_mongo import mongo_info

#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    #"_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400",
                    "order":"0"
                }
                #print(data_2)
                queue_list.put(data_2)

def handle_caipu_list(data):
    print("当前的食材：",data["keyword"])
    caipu_list_url = "http://api.douguo.net/recipe/s/0/20";
    caipu_response = handle_request(caipu_list_url, data)
    caipu_response_dict = json.loads(caipu_response.text)
    for caipu_item in caipu_response_dict["result"]["list"]:
        caipu_info ={}
        caipu_info["shicai"] = data["keyword"]
        if caipu_item["type"]==13:
            caipu_info["user_name"] = caipu_item["r"]["an"]
            caipu_info["shicai_id"] = caipu_item["r"]["id"]
            caipu_info["describe"] = caipu_item["r"]["cookstory"].replace("\n","").replace(" ","")
            caipu_info["caipu_name"] = caipu_item["r"]["n"]
            caipu_info["zuoliao_list"] = caipu_item["r"]["major"]
            #print(caipu_info)
            detail_url = "http://api.douguo.net/recipe/detail/"+ str(caipu_info["shicai_id"])
            detail_data ={
                "client":"4",
                "_session":"1547000257341354730010002552",
                "author_id":"0",
                "_vs":"2803",
                "ext":'{"query": {"kw": "'+data["keyword"]+'", "src": "2803", "idx": "1", "type": "13", "id": '+str(caipu_info["shicai_id"])+'}}'
            }

            detail_reponse = handle_request(detail_url,detail_data)
            detail_reponse_dic = json.loads(detail_reponse.text)
            caipu_info["tips"] = detail_reponse_dic["result"]["recipe"]["tips"]
            caipu_info["cookstep"] = detail_reponse_dic["result"]["recipe"]["cookstep"]
            #print(json.dumps(caipu_info))
            mongo_info.insert_item(caipu_info)

        else:
            continue


handle_index()
handle_caipu_list(queue_list.get())

通过python多线程-线程池抓取

  • python3通过concurrent.futures import ThreadPoolExecutor

引用线程池

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue
from handle_mongo import mongo_info
from concurrent.futures import ThreadPoolExecutor


#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }
    response = requests.post(url=url,headers=header,data=data)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    #"_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400",
                    "order":"0"
                }
                #print(data_2)
                queue_list.put(data_2)

def handle_caipu_list(data):
    print("当前的食材：",data["keyword"])
    caipu_list_url = "http://api.douguo.net/recipe/s/0/20";
    caipu_response = handle_request(caipu_list_url, data)
    caipu_response_dict = json.loads(caipu_response.text)
    for caipu_item in caipu_response_dict["result"]["list"]:
        caipu_info ={}
        caipu_info["shicai"] = data["keyword"]
        if caipu_item["type"]==13:
            caipu_info["user_name"] = caipu_item["r"]["an"]
            caipu_info["shicai_id"] = caipu_item["r"]["id"]
            caipu_info["describe"] = caipu_item["r"]["cookstory"].replace("\n","").replace(" ","")
            caipu_info["caipu_name"] = caipu_item["r"]["n"]
            caipu_info["zuoliao_list"] = caipu_item["r"]["major"]
            #print(caipu_info)
            detail_url = "http://api.douguo.net/recipe/detail/"+ str(caipu_info["shicai_id"])
            detail_data ={
                "client":"4",
                "_session":"1547000257341354730010002552",
                "author_id":"0",
                "_vs":"2803",
                "ext":'{"query": {"kw": "'+data["keyword"]+'", "src": "2803", "idx": "1", "type": "13", "id": '+str(caipu_info["shicai_id"])+'}}'
            }

            detail_reponse = handle_request(detail_url,detail_data)
            detail_reponse_dic = json.loads(detail_reponse.text)
            caipu_info["tips"] = detail_reponse_dic["result"]["recipe"]["tips"]
            caipu_info["cookstep"] = detail_reponse_dic["result"]["recipe"]["cookstep"]
            #print(json.dumps(caipu_info))
            mongo_info.insert_item(caipu_info)

        else:
            continue


handle_index()
pool = ThreadPoolExecutor(max_workers=20)
while queue_list.qsize()>0:
    pool.submit(handle_caipu_list,queue_list.get())

通过使用代理ip隐藏爬虫

当app运维人员，发现我们的一直在请求他们的服务器，很可能就把咱们的ip给封了，通过代理ip的方式。隐藏自我。

  • 注册申请 abuyun.com

一个小时1元，我申请了一个小时咱们一起使用下

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/11 2:40
# @Author  : Aries
# @Site    : 
# @File    : handle_proxy.py
# @Software: PyCharm


#60.17.177.187 代理出来的ip
import  requests
url = 'http://ip.hahado.cn/ip'
proxy = {'http':'http://H79623F667Q3936C:84F1527F3EE09817@http-cla.abuyun.com:9030'}
response = requests.get(url=url,proxies=proxy)
print(response.text)

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/9 11:06
# @Author  : lm
# @Url     : idig8.com
# @Site    : 
# @File    : spider_douguomeishi.py
# @Software: PyCharm
import json

import requests

from multiprocessing import Queue
from handle_mongo import mongo_info
from concurrent.futures import ThreadPoolExecutor


#创建队列
queue_list = Queue()


def handle_request(url,data):
    header ={
        "client": "4",
        "version": "6916.2",
        "device": "SM-G955N",
        "sdk": "22,5.1.1",
        "imei": "354730010002552",
        "channel": "zhuzhan",
        "mac": "00:FF:E2:A2:7B:58",
        "resolution": "1440*900",
        "dpi":"2.0",
        "android-id":"bcdaf527105cc26f",
        "pseudo-id":"354730010002552",
        "brand":"samsung",
        "scale":"2.0",
        "timezone":"28800",
        "language":"zh",
        "cns":"3",
        "carrier": "Android",
        #"imsi": "310260000000000",
        "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; SM-G955N Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/39.0.0.0 Mobile Safari/537.36",
        "lon": "105.566938",
        "lat": "29.99831",
        "cid": "512000",
        "Content-Type": "application/x-www-form-urlencoded; charset=utf-8",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "Keep-Alive",
        # "Cookie": "duid=58349118",
        "Host": "api.douguo.net",
        #"Content-Length": "65"
    }

    proxy = {'http': 'http://H79623F667Q3936C:84F1527F3EE09817@http-cla.abuyun.com:9030'}
    response = requests.post(url=url,headers=header,data=data,proxies=proxy)
    return response

def handle_index():
    url = "http://api.douguo.net/recipe/flatcatalogs"
    # client=4&_session=1547000257341354730010002552&v=1503650468&_vs=0
    data ={
        "client":"4",
        "_session":"1547000257341354730010002552",
        "v":"1503650468",
        "_vs":"0"
    }
    response = handle_request(url,data)
    # print(response.text)
    index_response_dic = json.loads(response.text)
    for item_index in index_response_dic["result"]["cs"]:
        # print(item_index)
        for item_index_cs in item_index["cs"]:
            # print(item_index_cs)
            for item in item_index_cs["cs"]:
                #print(item)
                data_2 ={
                    "client":"4",
                    #"_session":"1547000257341354730010002552",
                    "keyword":item["name"],
                    "_vs ":"400",
                    "order":"0"
                }
                #print(data_2)
                queue_list.put(data_2)

def handle_caipu_list(data):
    print("当前的食材：",data["keyword"])
    caipu_list_url = "http://api.douguo.net/recipe/s/0/20";
    caipu_response = handle_request(caipu_list_url, data)
    caipu_response_dict = json.loads(caipu_response.text)
    for caipu_item in caipu_response_dict["result"]["list"]:
        caipu_info ={}
        caipu_info["shicai"] = data["keyword"]
        if caipu_item["type"]==13:
            caipu_info["user_name"] = caipu_item["r"]["an"]
            caipu_info["shicai_id"] = caipu_item["r"]["id"]
            caipu_info["describe"] = caipu_item["r"]["cookstory"].replace("\n","").replace(" ","")
            caipu_info["caipu_name"] = caipu_item["r"]["n"]
            caipu_info["zuoliao_list"] = caipu_item["r"]["major"]
            #print(caipu_info)
            detail_url = "http://api.douguo.net/recipe/detail/"+ str(caipu_info["shicai_id"])
            detail_data ={
                "client":"4",
                "_session":"1547000257341354730010002552",
                "author_id":"0",
                "_vs":"2803",
                "ext":'{"query": {"kw": "'+data["keyword"]+'", "src": "2803", "idx": "1", "type": "13", "id": '+str(caipu_info["shicai_id"])+'}}'
            }

            detail_reponse = handle_request(detail_url,detail_data)
            detail_reponse_dic = json.loads(detail_reponse.text)
            caipu_info["tips"] = detail_reponse_dic["result"]["recipe"]["tips"]
            caipu_info["cookstep"] = detail_reponse_dic["result"]["recipe"]["cookstep"]
            #print(json.dumps(caipu_info))
            mongo_info.insert_item(caipu_info)

        else:
            continue


handle_index()
pool = ThreadPoolExecutor(max_workers=2)
while queue_list.qsize()>0:
    pool.submit(handle_caipu_list,queue_list.get())

PS：本次是app数据抓取的入门。首先是通过模拟器的代理服务，到本地的电脑（安装fiddler），这样fiddler就可以抓取数据了，分析数据这块要凭借自己的经验找到对应的url，如果能分析到url，基本爬虫就写一半。封装请求头。通过fiddler获取的。里面header内容比较多，尝试删除最简化，也是一种反爬虫的策略，有的数据放进去到容易被发现是爬虫了，例如cookies等等，但是有的爬虫爬取数据需要cookies。通过代理的方式设置代理ip，防止爬取过程中同一个ip，一直请求一个接口被发现是爬虫。引入了队列的目的就是为了使用线程池的时候方便提取。然后放入mongodb中。这样使用多线程的app数据就完成了。

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