早些日子有人问我我的微信里面有一共多少朋友，我就随后拉倒了通讯录最下面就找到了微信一共有多少位好友。然后他又问我，这里面你认识多少人？

这一句话问的我很无语。一千多个好友我真的不知道认识的人有多少。他还紧追着不放了，你知道你微信朋友的男女比例嘛？你知道你微信朋友大部分来自什么地方吗？

以下的代码内容只涉及一些简单的Python知识，稍微有一点Python知识的朋友都可以读下去。 如果你没有Python的知识你可能需要去学习一下Python，当然你也可以不用学，搭建好Python的环境就好，期间可能需要用到一些库需要自己去解决一下，在下文中也会详细诉述。

第一步：首先抓取微信朋友的资料

既然是要做统计和分析，第一步就是微信朋友的所有可以抓取的资料抓取出来。所谓有用的资料大致来说有以下几个内容：

昵称、微信号、城市、性别、星标好友、头像、个性签名、备注

每一项或者联合项可以做的统计

性别：好友性别统计

城市：好友地区分布

备注+昵称：大致统计认识的好友比例

头像：人脸识别

那么如何抓取呢？这里使用了之前有一位大神写的如何找出被删的好友的代码，修改部分为从提取json数据截断，对返回的json数据进行提取分别找到了以下的所需要的信息：

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代码修改为：

#!/usr/bin/env python

# encoding=utf-8

from __future__ import print_function

import os

import requests

import re

import time

import xml.dom.minidom

import json

import sys

import math

import subprocess

import ssl

import threading

import urllib,urllib2

DEBUG = False

MAX_GROUP_NUM = 2 # 每组人数

INTERFACE_CALLING_INTERVAL = 5 # 接口调用时间间隔, 间隔太短容易出现"操作太频繁", 会被限制操作半小时左右

MAX_PROGRESS_LEN = 50

QRImagePath = os.path.join(os.getcwd(), 'qrcode.jpg')

tip = 0

uuid = ''

base_uri = ''

redirect_uri = ''

push_uri = ''

skey = ''

wxsid = ''

wxuin = ''

pass_ticket = ''

deviceId = 'e000000000000000'

BaseRequest = {}

ContactList = []

My = []

SyncKey = []

try:

xrange

range = xrange

except:

# python 3

pass

def responseState(func, BaseResponse):

ErrMsg = BaseResponse['ErrMsg']

Ret = BaseResponse['Ret']

if DEBUG or Ret != 0:

print('func: %s, Ret: %d, ErrMsg: %s' % (func, Ret, ErrMsg))

if Ret != 0:

return False

return True

def getUUID():

global uuid

url = 'https://login.weixin.qq.com/jslogin'

params = {

'appid': 'wx782c26e4c19acffb',

'fun': 'new',

'lang': 'zh_CN',

'_': int(time.time()),

}

r= myRequests.get(url=url, params=params)

r.encoding = 'utf-8'

data = r.text

# print(data)

# window.QRLogin.code = 200; window.QRLogin.uuid = "oZwt_bFfRg==";

regx = r'window.QRLogin.code = (d+); window.QRLogin.uuid = "(S+?)"'

pm = re.search(regx, data)

code = pm.group(1)

uuid = pm.group(2)

if code == '200':

return True

return False

def showQRImage():

global tip

url = 'https://login.weixin.qq.com/qrcode/' + uuid

params = {

't': 'webwx',

'_': int(time.time()),

}

r = myRequests.get(url=url, params=params)

tip = 1

f = open(QRImagePath, 'wb')

f.write(r.content)

f.close()

time.sleep(1)

if sys.platform.find('darwin') >= 0:

subprocess.call(['open', QRImagePath])

else:

subprocess.call(['xdg-open', QRImagePath])

print('请使用微信扫描二维码以登录')

def waitForLogin():

global tip, base_uri, redirect_uri, push_uri

url = 'https://login.weixin.qq.com/cgi-bin/mmwebwx-bin/login?tip=%s&uuid=%s&_=%s' % (

tip, uuid, int(time.time()))

r = myRequests.get(url=url)

r.encoding = 'utf-8'

data = r.text

# print(data)

# window.code=500;

regx = r'window.code=(d+);'

pm = re.search(regx, data)

code = pm.group(1)

if code == '201': # 已扫描

print('成功扫描,请在手机上点击确认以登录')

tip = 0

elif code == '200': # 已登录

print('正在登录...')

regx = r'window.redirect_uri="(S+?)";'

pm = re.search(regx, data)

redirect_uri = pm.group(1) + '&fun=new'

base_uri = redirect_uri[:redirect_uri.rfind('/')]

# push_uri与base_uri对应关系(排名分先后)(就是这么奇葩..)

services = [

('wx2.qq.com', 'webpush2.weixin.qq.com'),

('qq.com', 'webpush.weixin.qq.com'),

('web1.wechat.com', 'webpush1.wechat.com'),

('web2.wechat.com', 'webpush2.wechat.com'),

('wechat.com', 'webpush.wechat.com'),

('web1.wechatapp.com', 'webpush1.wechatapp.com'),

]

push_uri = base_uri

for (searchUrl, pushUrl) in services:

if base_uri.find(searchUrl) >= 0:

push_uri = 'https://%s/cgi-bin/mmwebwx-bin' % pushUrl

break

# closeQRImage

if sys.platform.find('darwin') >= 0: # for OSX with Preview

os.system("osascript -e 'quit app "Preview"'")

elif code == '408': # 超时

pass

# elif code == '400' or code == '500':

return code

def login():

global skey, wxsid, wxuin, pass_ticket, BaseRequest

r = myRequests.get(url=redirect_uri)

r.encoding = 'utf-8'

data = r.text

# print(data)

doc = xml.dom.minidom.parseString(data)

root = doc.documentElement

for node in root.childNodes:

if node.nodeName == 'skey':

skey = node.childNodes[0].data

elif node.nodeName == 'wxsid':

wxsid = node.childNodes[0].data

elif node.nodeName == 'wxuin':

wxuin = node.childNodes[0].data

elif node.nodeName == 'pass_ticket':

pass_ticket = node.childNodes[0].data

# print('skey: %s, wxsid: %s, wxuin: %s, pass_ticket: %s' % (skey, wxsid,

# wxuin, pass_ticket))

if not all((skey, wxsid, wxuin, pass_ticket)):

return False

BaseRequest = {

'Uin': int(wxuin),

'Sid': wxsid,

'Skey': skey,

'DeviceID': deviceId,

}

return True

def webwxinit():

url = (base_uri +

'/webwxinit?pass_ticket=%s&skey=%s&r=%s' % (

pass_ticket, skey, int(time.time())) )

params = {'BaseRequest': BaseRequest }

headers = {'content-type': 'application/json; charset=UTF-8'}

r = myRequests.post(url=url, data=json.dumps(params),headers=headers)

r.encoding = 'utf-8'

data = r.json()

if DEBUG:

f = open(os.path.join(os.getcwd(), 'webwxinit.json'), 'wb')

f.write(r.content)

f.close()

# print(data)

global ContactList, My, SyncKey

dic = data

ContactList = dic['ContactList']

My = dic['User']

SyncKey = dic['SyncKey']

state = responseState('webwxinit', dic['BaseResponse'])

return state

def webwxgetcontact():

url = (base_uri +

'/webwxgetcontact?pass_ticket=%s&skey=%s&r=%s' % (

pass_ticket, skey, int(time.time())) )

headers = {'content-type': 'application/json; charset=UTF-8'}

r = myRequests.post(url=url,headers=headers)

r.encoding = 'utf-8'

data = r.json()

if DEBUG:

f = open(os.path.join(os.getcwd(), 'webwxgetcontact.json'), 'wb')

f.write(r.content)

f.close()

dic = data

MemberList = dic['MemberList']

# 倒序遍历,不然删除的时候出问题..

SpecialUsers = ["newsapp", "fmessage", "filehelper", "weibo", "qqmail", "tmessage", "qmessage", "qqsync", "floatbottle", "lbsapp", "shakeapp", "medianote", "qqfriend", "readerapp", "blogapp", "facebookapp", "masssendapp",

"meishiapp", "feedsapp", "voip", "blogappweixin", "weixin", "brandsessionholder", "weixinreminder", "wxid_novlwrv3lqwv11", "gh_22b87fa7cb3c", "officialaccounts", "notification_messages", "wxitil", "userexperience_alarm"]

for i in range(len(MemberList) - 1, -1, -1):

Member = MemberList[i]

if Member['VerifyFlag'] & 8 != 0: # 公众号/服务号

MemberList.remove(Member)

elif Member['UserName'] in SpecialUsers: # 特殊账号

MemberList.remove(Member)

elif Member['UserName'].find('@@') != -1: # 群聊

MemberList.remove(Member)

elif Member['UserName'] == My['UserName']: # 自己

MemberList.remove(Member)

return MemberList

def syncKey():

SyncKeyItems = ['%s_%s' % (item['Key'], item['Val'])

for item in SyncKey['List']]

SyncKeyStr = '|'.join(SyncKeyItems)

return SyncKeyStr

def syncCheck():

url = push_uri + '/synccheck?'

params = {

'skey': BaseRequest['Skey'],

'sid': BaseRequest['Sid'],

'uin': BaseRequest['Uin'],

'deviceId': BaseRequest['DeviceID'],

'synckey': syncKey(),

'r': int(time.time()),

}

r = myRequests.get(url=url,params=params)

r.encoding = 'utf-8'

data = r.text

# print(data)

# window.synccheck={retcode:"0",selector:"2"}

regx = r'window.synccheck={retcode:"(d+)",selector:"(d+)"}'

pm = re.search(regx, data)

retcode = pm.group(1)

selector = pm.group(2)

return selector

def webwxsync():

global SyncKey

url = base_uri + '/webwxsync?lang=zh_CN&skey=%s&sid=%s&pass_ticket=%s' % (

BaseRequest['Skey'], BaseRequest['Sid'], urllib.quote_plus(pass_ticket))

params = {

'BaseRequest': BaseRequest,

'SyncKey': SyncKey,

'rr': ~int(time.time()),

}

headers = {'content-type': 'application/json; charset=UTF-8'}

r = myRequests.post(url=url, data=json.dumps(params))

r.encoding = 'utf-8'

data = r.json()

# print(data)

dic = data

SyncKey = dic['SyncKey']

state = responseState('webwxsync', dic['BaseResponse'])

return state

def heartBeatLoop():

while True:

selector = syncCheck()

if selector != '0':

webwxsync()

time.sleep(1)

def main():

global myRequests

if hasattr(ssl, '_create_unverified_context'):

ssl._create_default_https_context = ssl._create_unverified_context

headers = {'User-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.125 Safari/537.36'}

myRequests = requests.Session()

myRequests.headers.update(headers)

if not getUUID():

print('获取uuid失败')

return

print('正在获取二维码图片...')

showQRImage()

while waitForLogin() != '200':

pass

os.remove(QRImagePath)

if not login():

print('登录失败')

return

if not webwxinit():

print('初始化失败')

return

MemberList = webwxgetcontact()

threading.Thread(target=heartBeatLoop)

MemberCount = len(MemberList)

print('通讯录共%s位好友' % MemberCount)

d = {}

imageIndex = 0

for Member in MemberList:

imageIndex = imageIndex + 1

name = '/root/Desktop/friendImage/image'+str(imageIndex)+'.jpg'

imageUrl = 'https://wx.qq.com'+Member['HeadImgUrl']

r = myRequests.get(url=imageUrl,headers=headers)

imageContent = (r.content)

fileImage = open(name,'wb')

fileImage.write(imageContent)

fileImage.close()

print('正在下载第：'+str(imageIndex)+'位好友头像')

d[Member['UserName']] = (Member['NickName'], Member['RemarkName'])

city = Member['City']

city = 'nocity' if city == '' else city

name = Member['NickName']

name = 'noname' if name == '' else name

sign = Member['Signature']

sign = 'nosign' if sign == '' else sign

remark = Member['RemarkName']

remark = 'noremark' if remark == '' else remark

alias = Member['Alias']

alias = 'noalias' if alias == '' else alias

nick = Member['NickName']

nick = 'nonick' if nick == '' else nick

print(name,' ^+*+^ ',city,' ^+*+^ ',Member['Sex'],' ^+*+^ ',Member['StarFriend'],' ^+*+^ ',sign,' ^+*+^ ',remark,' ^+*+^ ',alias,' ^+*+^ ',nick )

if __name__ == '__main__':

main()

print('回车键退出...')

input()

所返回的json结果如下图所示

昵称、微信号、城市、性别、星标好友、头像、个性签名、备注。提取以上信息，对头像图片进行下载，并对数据进行简单的清洗等等，最后一列为微信号不方便显示。

第二步：性别统计和地区分布

使用python的pandas科学计算库进行简单的统计，如果你没有用过，可以转至如下链接进行安装学习：【原】十分钟搞定pandas

只要掌握了非常简单的pandas只是就可以继续往下看做以下统计

(1)、所有好友的男女比例

(2)、所有好友的城市分布

(3)、统计认识的朋友以及占所有朋友的百分比

统计方法：所有朋友 - 没有备注的朋友 - 备注与昵称相同的朋友

(4)、统计认识的朋友中的男女比例

统计方法：对三的结果再进行男女划分即可得到结果

把结果做成简单的图表(主要使用了百度的 echarts 作图)

使用地图慧江苏省好友分布，这个编码我不知怎么回事，可能是浏览器问题，回头我用其它浏览器查看一下。

最后再生成省份好友分布地图

最后运用opencv的图像识别进行人像识别，统计微信好友中用人像作为头像的好友人数。OpenCV的全称是：Open Source Computer Vision Library。OpenCV是一个基于BSD许可(开源)发行的跨平台计算机视觉库，可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。

如果你对opencv不是很了解，你可以按照以下的链接进行学习。

你可以去它的官网：http://opencv.org/ (需要有一定的英语知识)

国内也有一些比较好的博客资源，比如以下两个

如下开始是对抓取的朋友头像进行遍历识别是否含有人脸，代码如下。

#!/usr/bin/env python

'''

face detection using haar cascades

USAGE:

facedetect.py [--cascade ] [--nested-cascade ] []

'''

# Python 2/3 compatibility

from __future__ import print_function

import numpy as np

import cv2

# local modules

from video import create_capture

from common import clock, draw_str

def detect(img, cascade):

rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30),

flags=cv2.CASCADE_SCALE_IMAGE)

if len(rects) == 0:

return []

rects[:,2:] += rects[:,:2]

return rects

def draw_rects(img, rects, color):

for x1, y1, x2, y2 in rects:

cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)

if __name__ == '__main__':

import sys, getopt

print(__doc__)

count = 0

for i in range(1,1192):

print(str(i))

args, video_src = getopt.getopt(sys.argv[1:], '', ['cascade=', 'nested-cascade='])

try:

video_src = video_src[0]

except:

video_src = 0

args = dict(args)

cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")

nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")

cascade = cv2.CascadeClassifier(cascade_fn)

nested = cv2.CascadeClassifier(nested_fn)

cam = create_capture(video_src, fallback='synth:bg=../data/friend/friendImage/image'+str(i)+'.jpg:noise=0.05')

ret, img = cam.read()

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

gray = cv2.equalizeHist(gray)

rects = detect(gray, cascade)

vis = img.copy()

draw_rects(vis, rects, (0, 255, 0))

if not nested.empty():

if len(rects) == 0:

print('none')

else:

count = count + 1

print(str(count))

input()

执行以上代码统计出最后的结果

使用人像做头像的好友：59 因此不使用人像的1133，看来使用人像的人还是很少的。

运行提取人像头像的代码最后提取出的头像如下所示 ，不得不说Python的库真是十分的有用。(因为涉及到隐私，所以这里不会展示过多的头像)

最近仍然在研究签名以及头像的可用之处，也是欢迎大家一起学习交流。同时希望以上的内容可以提升一下大家的学习兴趣。关于微信好友的更多挖掘会不断进行。

(1)、人像头像与年龄之间的关系(由于微信没有年龄，于是想通过知乎进行推算)

(2)、个性签名与年龄性格之间的关系

(3)、微信号中所包含信息推算年龄层次，预测当前微信号年龄