Python采集猫眼两万条数据 对《无名之辈》影评进行分析

def download(self, url):
 """下载html内容"""

 print("正在下载URL: "+url)
 # 下载html内容
 response = requests.get(url, headers=self.headers)

 # 转成json格式数据
 if response.status_code == 200:
  return response.json()
 else:
  # print(html.status_code)
  print('下载数据为空！')
  return ""

def parse(self, content):
 """分析数据"""

 comments = []
 try:
  for item in content['cmts']:
  comment = {
   'nickName': item['nickName'], # 昵称
   'cityName': item['cityName'], # 城市
   'content': item['content'],  # 评论内容
   'score': item['score'],  # 评分
   'startTime': item['startTime'], # 时间
  }
  comments.append(comment)

 except Exception as e:
  print(e)

 finally:
  return comments

 def save(self, data):
  """写入文件"""
 
  print("保存数据，写入文件中...")
  self.save_file.write(data)

def start(self):
 """启动控制方法"""

 print("爬虫开始...
")

 start_time = self.start_time
 end_time = self.end_time

 num = 1
 while start_time > end_time:
  print("执行次数:", num)
  # 1、下载html
  content = self.download(self.target_url + str(start_time))

  # 2、分析获取关键数据
  comments = ''
  if content != "":
  comments = self.parse(content)

  if len(comments) <= 0:
  print("本次数据量为：0，退出爬取！
")
  break

  # 3、写入文件
  res = ''
  for cmt in comments:
  res += "%s###%s###%s###%s###%s
" % (cmt['nickName'], cmt['cityName'], cmt['content'], cmt['score'], cmt['startTime'])
  self.save(res)

  print("本次数据量：%s
" % len(comments))

  # 获取最后一条数据的时间 ，然后减去一秒
  start_time = datetime.strptime(comments[len(comments) - 1]['startTime'], "%Y-%m-%d %H:%M:%S") + timedelta(seconds=-1)
  # start_time = datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")

  # 休眠3s
  num += 1
  time.sleep(3)

 self.save_file.close()
 print("爬虫结束...")

def createCharts(self):
 """生成图表"""

 # 读取数据,格式：[{"北京", 10}, {"上海",10}]
 data = self.readCityNum()

 # 1 热点图
 geo1 = Geo("《无名之辈》观众位置分布热点图", "数据来源：猫眼，Fly采集", title_color="#FFF", title_pos="center", width="100%", height=600, background_color="#404A59")

 attr1, value1 = geo1.cast(data)

 geo1.add("", attr1, value1, type="heatmap", visual_range=[0, 1000], visual_text_color="#FFF", symbol_size=15, is_visualmap=True, is_piecewise=False, visual_split_number=10)
 geo1.render("files/无名之辈-观众位置热点图.html")

 # 2 位置图
 geo2 = Geo("《无名之辈》观众位置分布", "数据来源：猫眼，Fly采集", title_color="#FFF", title_pos="center", width="100%", height=600,
   background_color="#404A59")

 attr2, value2 = geo1.cast(data)
 geo2.add("", attr2, value2, visual_range=[0, 1000], visual_text_color="#FFF", symbol_size=15,
  is_visualmap=True, is_piecewise=False, visual_split_number=10)
 geo2.render("files/无名之辈-观众位置图.html")

 # 3、top20 柱状图
 data_top20 = data[:20]
 bar = Bar("《无名之辈》观众来源排行 TOP20", "数据来源：猫眼，Fly采集", title_pos="center", width="100%", height=600)
 attr, value = bar.cast(data_top20)
 bar.add('', attr, value, is_visualmap=True, visual_range=[0, 3500], visual_text_color="#FFF", is_more_utils=True, is_label_show=True)
 bar.render("files/无名之辈-观众来源top20.html")

 print("图表生成完成")

def createWordCloud(self):
 """生成评论词云"""
 comments = self.readAllComments() # 19185

 # 使用 jieba 分词
 commens_split = jieba.cut(str(comments), cut_all=False)
 words = ''.join(commens_split)

 # 给词库添加停止词
 stopwords = STOPWORDS.copy()
 stopwords.add("电影")
 stopwords.add("一部")
 stopwords.add("无名之辈")
 stopwords.add("一部")
 stopwords.add("一个")
 stopwords.add("有点")
 stopwords.add("觉得")

 # 加载背景图片
 bg_image = plt.imread("files/2048_bg.png")

 # 初始化 WordCloud
 wc = WordCloud(width=1200, height=600, background_color='#FFF', mask=bg_image, font_path='C:/Windows/Fonts/STFANGSO.ttf', stopwords=stopwords, max_font_size=400, random_state=50)

 # 生成，显示图片
 wc.generate_from_text(words)
 plt.imshow(wc)
 plt.axis('off')
 plt.show()

def get_coordinate(self, name, region="中国", raise_exception=False):
 """
 Return coordinate for the city name.

 :param name: City name or any custom name string.
 :param raise_exception: Whether to raise exception if not exist.
 :return: A list like [longitude, latitude] or None
 """
 if name in self._coordinates:
  return self._coordinates[name]


 coordinate = get_coordinate(name, region=region)

 # [ 20181204 添加
 # print(name, coordinate)
 if coordinate is None:
  # 如果字典key匹配不上，尝试进行模糊查询
  search_res = search_coordinates_by_region_and_keyword(region, name)
  # print("###",search_res)
  if search_res:
  coordinate = sorted(search_res.values())[0]
 # 20181204 添加 ]

 if coordinate is None and raise_exception:
  raise ValueError("No coordinate is specified for {}".format(name))

 return coordinate

# -*- coding:utf-8 -*-

import requests
from datetime import datetime, timedelta
import os
import time
import sys


class MaoyanFilmReviewSpider:
 """猫眼影评爬虫"""

 def __init__(self, url, end_time, filename):
  # 头部
  self.headers = {
   'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1'
  }

  # 目标URL
  self.target_url = url

  # 数据获取时间段，start_time:截止日期，end_time:上映时间
  now = datetime.now()

  # 获取当天的 零点
  self.start_time = now + timedelta(hours=-now.hour, minutes=-now.minute, seconds=-now.second)
  self.start_time = self.start_time.replace(microsecond=0)
  self.end_time = datetime.strptime(end_time, "%Y-%m-%d %H:%M:%S")

  # 打开写入文件, 创建目录
  self.save_path = "files/"
  if not os.path.exists(self.save_path):
   os.makedirs(self.save_path)
  self.save_file = open(self.save_path + filename, "a", encoding="utf-8")

 def download(self, url):
  """下载html内容"""

  print("正在下载URL: "+url)
  # 下载html内容
  response = requests.get(url, headers=self.headers)

  # 转成json格式数据
  if response.status_code == 200:
   return response.json()
  else:
   # print(html.status_code)
   print('下载数据为空！')
   return ""

 def parse(self, content):
  """分析数据"""

  comments = []
  try:
   for item in content['cmts']:
    comment = {
     'nickName': item['nickName'],  # 昵称
     'cityName': item['cityName'],  # 城市
     'content': item['content'],   # 评论内容
     'score': item['score'],    # 评分
     'startTime': item['startTime'], # 时间
    }
    comments.append(comment)

  except Exception as e:
   print(e)

  finally:
   return comments

 def save(self, data):
  """写入文件"""

  print("保存数据，写入文件中...")
  self.save_file.write(data)

 def start(self):
  """启动控制方法"""

  print("爬虫开始...
")

  start_time = self.start_time
  end_time = self.end_time

  num = 1
  while start_time > end_time:
   print("执行次数:", num)
   # 1、下载html
   content = self.download(self.target_url + str(start_time))

   # 2、分析获取关键数据
   comments = ''
   if content != "":
    comments = self.parse(content)

   if len(comments) <= 0:
    print("本次数据量为：0，退出爬取！
")
    break

   # 3、写入文件
   res = ''
   for cmt in comments:
    res += "%s###%s###%s###%s###%s
" % (cmt['nickName'], cmt['cityName'], cmt['content'], cmt['score'], cmt['startTime'])
   self.save(res)

   print("本次数据量：%s
" % len(comments))

   # 获取最后一条数据的时间 ，然后减去一秒
   start_time = datetime.strptime(comments[len(comments) - 1]['startTime'], "%Y-%m-%d %H:%M:%S") + timedelta(seconds=-1)
   # start_time = datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")

   # 休眠3s
   num += 1
   time.sleep(3)

  self.save_file.close()
  print("爬虫结束...")


if __name__ == "__main__":
 # 确保输入参数
 if len(sys.argv) != 4:
  print("请输入相关参数：[moveid]、[上映日期]和[保存文件名]，如：xxx.py 42962 2018-11-09 text.txt")
  exit()

 # 猫眼电影ID
 mid = sys.argv[1] # "1208282" # "42964"
 # 电影上映日期
 end_time = sys.argv[2] # "2018-11-16" # "2018-11-09"
 # 每次爬取条数
 offset = 15
 # 保存文件名
 filename = sys.argv[3]

 spider = MaoyanFilmReviewSpider(url="http://m.maoyan.com/mmdb/comments/movie/%s.json?v=yes&offset=%d&startTime=" % (mid, offset), end_time="%s 00:00:00" % end_time, filename=filename)
 # spider.start()

 spider.start()
 # t1 = "2018-11-09 23:56:23"
 # t2 = "2018-11-25"
 #
 # res = datetime.strptime(t1, "%Y-%m-%d %H:%M:%S") + timedelta(days=-1)
 # print(type(res))

MaoyanFilmReviewSpider.py

# -*- coding:utf-8 -*-
from pyecharts import Geo, Bar, Bar3D
import jieba
from wordcloud import STOPWORDS, WordCloud
import matplotlib.pyplot as plt


class ACoolFishAnalysis:
 """无名之辈 --- 数据分析"""
 def __init__(self):
  pass

 def readCityNum(self):
  """读取观众城市分布数量"""
  d = {}

  with open("files/myCmts2.txt", "r", encoding="utf-8") as f:
   row = f.readline()

   while row != "":
    arr = row.split('###')

    # 确保每条记录长度为 5
    while len(arr) < 5:
     row += f.readline()
     arr = row.split('###')

    # 记录每个城市的人数
    if arr[1] in d:
     d[arr[1]] += 1
    else:
     d[arr[1]] = 1 # 首次加入字典，为 1

    row = f.readline()


   # print(len(comments))
   # print(d)

  # 字典 转 元组数组
  res = []
  for ks in d.keys():
   if ks == "":
    continue
   tmp = (ks, d[ks])
   res.append(tmp)

  # 按地点人数降序
  res = sorted(res, key=lambda x: (x[1]),reverse=True)
  return res

 def readAllComments(self):
  """读取所有评论"""
  comments = []

  # 打开文件读取数据
  with open("files/myCmts2.txt", "r", encoding="utf-8") as f:
   row = f.readline()

   while row != "":
    arr = row.split('###')

    # 每天记录长度为 5
    while len(arr) < 5:
     row += f.readline()
     arr = row.split('###')

    if len(arr) == 5:
     comments.append(arr[2])

    # if len(comments) > 20:
    #  break
    row = f.readline()

  return comments

 def createCharts(self):
  """生成图表"""

  # 读取数据,格式：[{"北京", 10}, {"上海",10}]
  data = self.readCityNum()

  # 1 热点图
  geo1 = Geo("《无名之辈》观众位置分布热点图", "数据来源：猫眼，Fly采集", title_color="#FFF", title_pos="center", width="100%", height=600, background_color="#404A59")

  attr1, value1 = geo1.cast(data)

  geo1.add("", attr1, value1, type="heatmap", visual_range=[0, 1000], visual_text_color="#FFF", symbol_size=15, is_visualmap=True, is_piecewise=False, visual_split_number=10)
  geo1.render("files/无名之辈-观众位置热点图.html")

  # 2 位置图
  geo2 = Geo("《无名之辈》观众位置分布", "数据来源：猫眼，Fly采集", title_color="#FFF", title_pos="center", width="100%", height=600,
     background_color="#404A59")

  attr2, value2 = geo1.cast(data)
  geo2.add("", attr2, value2, visual_range=[0, 1000], visual_text_color="#FFF", symbol_size=15,
    is_visualmap=True, is_piecewise=False, visual_split_number=10)
  geo2.render("files/无名之辈-观众位置图.html")

  # 3、top20 柱状图
  data_top20 = data[:20]
  bar = Bar("《无名之辈》观众来源排行 TOP20", "数据来源：猫眼，Fly采集", title_pos="center", width="100%", height=600)
  attr, value = bar.cast(data_top20)
  bar.add('', attr, value, is_visualmap=True, visual_range=[0, 3500], visual_text_color="#FFF", is_more_utils=True, is_label_show=True)
  bar.render("files/无名之辈-观众来源top20.html")

  print("图表生成完成")

 def createWordCloud(self):
  """生成评论词云"""
  comments = self.readAllComments() # 19185

  # 使用 jieba 分词
  commens_split = jieba.cut(str(comments), cut_all=False)
  words = ''.join(commens_split)

  # 给词库添加停止词
  stopwords = STOPWORDS.copy()
  stopwords.add("电影")
  stopwords.add("一部")
  stopwords.add("无名之辈")
  stopwords.add("一部")
  stopwords.add("一个")
  stopwords.add("有点")
  stopwords.add("觉得")

  # 加载背景图片
  bg_image = plt.imread("files/2048_bg.png")

  # 初始化 WordCloud
  wc = WordCloud(width=1200, height=600, background_color='#FFF', mask=bg_image, font_path='C:/Windows/Fonts/STFANGSO.ttf', stopwords=stopwords, max_font_size=400, random_state=50)

  # 生成，显示图片
  wc.generate_from_text(words)
  plt.imshow(wc)
  plt.axis('off')
  plt.show()



if __name__ == "__main__":
 demo = ACoolFishAnalysis()
 demo.createWordCloud()