貓眼電影用了動態字體庫
貓眼電影榜單國內票房榜,地址:https://maoyan.com/board/1

分析字體文件

刷新幾次發現字體有變化
找到關系自動替換
原理
字體庫用表結構存儲文字,例如cmap表記錄unicode索引和字形對應關系。glyf是字形表,記錄文字筆畫等數據,
有loca表記錄glyf表里的字形位置,使用字體庫的文字通過loca表找。
可以匹配glyf的字形來找unicode和文字的關系
參考: https://www.cnblogs.com/shenyiyangle/p/10700156.html
思路圖:

1.下載一個字體做基准,提取基准字體unicode和文字映射。
2.刷新后的新字體記為網站字體2,用網站字體1和網站字體2的字形找到兩種unicode的關系。
3.相同的unicode找到字體庫和unicode的關系,最后unicode替換成文字。
代碼
headers={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36"}
r=requests.get("https://maoyan.com/board/1",headers=headers) font1_url="http:"+re.findall("url\(\'(\/\/.*?woff)\'\)",r.text,re.M)[0]
#創建font目錄保存基准字體 if not os.path.exists("font"): font1=requests.get(font1_url,headers=headers) os.mkdir("font") with open("./font/base.woff","wb")as f: f.write(font1.content)
基准字體保存到font目錄
base_font = TTFont('./font/base.woff')
base_dict=[] for i in range(len(baseFont.getGlyphOrder()[2:])): print(f"對應的數字{i+1}:") w=input() base_dict.append({"code":baseFont.getGlyphOrder()[2:][i],"num":w})
用FontCreator看字體信息

基准字體關系只需要一次
new_font_url="http:"+re.findall("url\(\'(\/\/.*?woff)\'\)",r.text,re.M)[0]
font=requests.get(new_font_url,headers=headers) with open("new_font.woff","wb")as f: f.write(font.content) new_font = TTFont('new_font.woff') new_font_code_list=new_font.getGlyphOrder()[2:]
刷新下載新字體,獲取unicode
replace_dic=[]
for i in range(10): news = new_font['glyf'][new_font_code_list[i]] for j in range(10): bases = base_font['glyf'][base_dict[j]["code"]] if news == bases: unicode=new_font_code_list[i].lower().replace("uni","&#x")+";" num= base_dict[j]["num"] replace_dic.append({"code":unicode,"num":num})
新unicode和文字的關系
org_data=r.text
for i in range(len(replace_dic)): new_data=new_data.replace(replace_dic[i]["code"],replace_dic[i]["num"])
全局替換
tree=etree.HTML(org_data)
dds=tree.xpath('//dl[@class="board-wrapper"]/dd') info=[] for dd in dds: title=dd.xpath('.//p[@class="name"]/a/@title')[0] star=dd.xpath('.//p[@class="star"]/text()')[0].replace("主演:","") time=dd.xpath('.//p[@class="releasetime"]/text()')[0].replace("上映時間:","") realticket=dd.xpath('.//p[@class="realtime"]//text()')[1]+dd.xpath('.//p[@class="realtime"]//text()')[2].strip() totalticket=dd.xpath('.//p[@class="total-boxoffice"]//text()')[1]+dd.xpath('.//p[@class="total-boxoffice"]//text()')[2].strip() info.append({"標題":title,"主演":star,"上映時間":time,"實時票房":realticket,"總票房":totalticket})

import csv
csv_file = open("1325.csv", 'w', newline='') keys = [] writer = csv.writer(csv_file) keys = info[1].keys() writer.writerow(keys) for dic in info: for key in keys: if key not in dic: dic[key ] = '' writer.writerow(dic.values()) csv_file.close()
結果

用的庫

