from pypinyin import lazy_pinyin,load_single_dict from bs4 import BeautifulSoup import re import urllib.error,urllib.request import xlwt import json import sqlite3 import threading global val val = [] #对于豆瓣top250电影爬取内容的正则表达式 findLink = re.compile(r'') findImgSrc = re.compile(r'(.*)') findRating = re.compile(r'(.*)') findJudge = re.compile(r'(\d*)人评价') findBd = re.compile(r'

(.*?)

',re.S) #对于豆瓣当前某城市正在上映的电影爬取内容的正则表达式 findnowmovielink = re.compile(r'.*data-psource="poster" href="(.*?)" target="_blank">',re.S) findnowmovieimg = re.compile(r'src="(.*?)"/>') findnowmovietitle= re.compile(r'data-title="(.*?)"') findnowmovieactors= re.compile(r'data-actors="(.*?)"') findnowmovietime= re.compile(r'data-duration="(.*?)"') findnowmovieregion= re.compile(r'data-region="(.*?)"') findnowmoviedirector= re.compile(r'data-director="(.*?)"') findnowmovieid = re.compile(r'id="(.*?)"') def main(): a = input("Enter a number: ") if a=="1": baseurl = "https://movie.douban.com/top250?start=" #指定的网页超链接 datalist1 = getData1(baseurl) #返回一个装有所有数据的列表 savepath = ".\\top250.xls" #存储数据的文档路径 saveData1(datalist1,savepath) #存储数据 dbpath = "data.db" saveData1DB1(datalist1,dbpath) if a=="2": b = input("Enter a city: ") baseurl = "https://movie.douban.com/cinema/nowplaying/" + b + '/' datalist2 = getData2(baseurl) savepath = ".\\citymovies.xls" saveData2(datalist2,savepath) dbpath = "data.db" saveData2DB2(datalist2, dbpath) if a=="3": #后台更新柱状图的参数 updateCitiesData() def multi_thread(usl1): threads = [] for i in range(0,10): threads.append( threading.Thread(target = askURL1,args=(usl1+str(i*25),)) ) for thread in threads: thread.start() for thread in threads: thread.join() # print(threads) return threads #用于获得数据 def getData1(baseurl): global val datalist = [] #将获得的数据装于datalist这个列表 multi_thread(baseurl) for j in range(0,10): soup = BeautifulSoup(val[j],"html.parser") #解析 for item in soup.find_all('div',class_= "item"): #print(item) #一个测试点 data = [] #将每一部电影的具体信息装入data列表 item = str(item) link = re.findall(findLink,item)[0] #详情链接 data.append(link) imgSrc = re.findall(findImgSrc,item)[0] #图片链接 data.append(imgSrc) titles = re.findall(findTitle,item) #标题 if(len(titles) == 2 ): ctitle = titles[0] data.append(ctitle) otitle = titles[1].replace("/","") data.append(otitle) else: data.append(titles[0]) data.append(" ") rating = re.findall(findRating,item)[0] #评分 data.append(rating) judgeNum = re.findall(findJudge,item)[0] #评分人数 data.append(judgeNum) bd = re.findall(findBd,item)[0] #概要 bd = re.sub('\s',"",bd) bd = re.sub(r'/',"",bd) bd = re.sub('
',"",bd) data.append(bd.strip()) datalist.append(data) #将data列表装入datalist列表 print(datalist) return datalist def getData2(baseurl): datalist = [] #将获得的数据装于datalist这个列表 html = askURL2(baseurl) soup = BeautifulSoup(html,"html.parser") #解析 for item in soup.find_all('li',class_= "list-item"): #一个测试点 data = [] #将每一部电影的具体信息装入data列表 item = str(item) link = re.findall(findnowmovielink,item)[0] data.append(link) img = re.findall(findnowmovieimg,item)[0] data.append(img) title = re.findall(findnowmovietitle,item)[0] data.append(title) director = re.findall(findnowmoviedirector, item)[0] data.append(director) actors = re.findall(findnowmovieactors,item)[0] data.append(actors) time = re.findall(findnowmovietime, item)[0] data.append(time) region = re.findall(findnowmovieregion, item)[0] data.append(region) id = re.findall(findnowmovieid,item)[0] data.append(id) datalist.append(data) #将data列表装入datalist列表 return datalist #用来得到一个指定URL的网页内容(豆瓣top250) def askURL1(url): #伪装为浏览器 global val head = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.74 Safari/537.36 Edg/99.0.1150.55" } resquest = urllib.request.Request(url,headers=head) html = "" try: response = urllib.request.urlopen(resquest) html = response.read().decode("utf-8") #print(html) except urllib.error.URLError as e: if hasattr(e,"code"): print(e.code) if hasattr(e,"reason"): print(e.reason) val.append(html) # print(html) # return html def askURL2(url): # 伪装为浏览器 head = { "User-Agent": " Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36 Edg/100.0.1185.36" } resquest = urllib.request.Request(url, headers=head) html = "" try: response = urllib.request.urlopen(resquest) html = response.read().decode("utf-8") # print(html) except urllib.error.URLError as e: if hasattr(e, "code"): print(e.code) if hasattr(e, "reason"): print(e.reason) return html def init_tb1(dbpath): sql = ''' create table if not exists movie250 ( info_link text, pic_link text, cname varchar , ename varchar , score numeric , rated numeric , info text ) ''' conn = sqlite3.connect(dbpath) cursor = conn.cursor() cursor.execute(sql) cursor.execute("delete from movie250 where 1=1;") conn.commit() conn.close() def init_tb2(dbpath): sql = ''' create table if not exists citymovies ( link text, img text, title varchar , director varchar , actors varchar , times varchar , region varchar , id varchar ) ''' conn = sqlite3.connect(dbpath) cursor = conn.cursor() cursor.execute(sql) cursor.execute("delete from citymovies where 1=1;") conn.commit() conn.close() def saveData1DB1(datalist,dbpath): init_tb1(dbpath) conn = sqlite3.connect(dbpath) cur = conn.cursor() for data in datalist: for index in range(len(data)): if index == 4 or index == 5: continue data[index] = '"'+data[index].strip()+'"' sql = ''' insert into movie250(info_link,pic_link,cname,ename,score,rated,info) values(%s)'''%",".join(data) cur.execute(sql) conn.commit() cur.close() conn.close() def saveData2DB2(datalist,dbpath): init_tb2(dbpath) conn = sqlite3.connect(dbpath) cur = conn.cursor() for data in datalist: for index in range(len(data)): data[index] = '"'+data[index].strip()+'"' sql = ''' insert into citymovies(link,img,title,director,actors,times,region,id) values(%s)'''%",".join(data) cur.execute(sql) conn.commit() cur.close() conn.close() def saveData1(datalist,savepath): print("save...") book = xlwt.Workbook(encoding="utf-8",style_compression=0) sheet = book.add_sheet("豆瓣电影Top250",cell_overwrite_ok=True) col = ("电影详情链接","图片链接","影片中文名字","影片外国名字","评分","评价数","相关信息") for i in range(0,7): sheet.write(0,i,col[i]) for i in range(0,250): print("第%d条"%(i+1)) data = datalist[i] for j in range(0,7): sheet.write(i,j,data[j]) book.save(savepath) def saveData2(datalist,savepath): print("save...") book = xlwt.Workbook(encoding="utf-8",style_compression=0) sheet = book.add_sheet("豆瓣电影Top250",cell_overwrite_ok=True) col = ("电影详情链接","图片链接","影片中文名字","导演","演员","时长","制片地区","电影id") for i in range(0,8): sheet.write(0,i,col[i]) for i in range(len(datalist)): print("第%d条"%(i+1)) data = datalist[i] for j in range(0,8): sheet.write(i,j,data[j]) book.save(savepath) def updateCitiesData(): #用于后台更新柱状图的参数 f = open("./static/assets/json/citiesData.json", "r" ,encoding = "utf-8") data_dict = (dict(json.load(f))) print(data_dict) feature_list = data_dict["features"] load_single_dict({ord('重'): 'chong'}) for item in feature_list: item["properties"]["名称"] = "".join(lazy_pinyin(item["properties"]["名称"])) cityname = item["properties"]["名称"][0:len(item["properties"]["名称"]) - 3] print(cityname+':', end=" ") item["properties"]["Yuanxian"] = len(getData2("https://movie.douban.com/cinema/nowplaying/" + cityname + '/')) print(item["properties"]["Yuanxian"]) f.close() f = open("./static/assets/json/citiesData.json", "w", encoding="GBK") json.dump(data_dict,f) f.close() if __name__ == "__main__": main() print("爬取完成!")