如何按类别刮取文本并生成json文件？

问题描述：

我们刮网站www.theft-alerts.com。现在我们得到所有的文字。如何按类别刮取文本并生成json文件？

connection = urllib2.urlopen('http://www.theft-alerts.com') 
soup = BeautifulSoup(connection.read().replace("<br>","\n"), "html.parser") 

theftalerts = [] 
for sp in soup.select("table div.itemspacingmodified"): 
    for wd in sp.select("div.itemindentmodified"): 
     text = wd.text 
     if not text.startswith("Images :"): 
      print(text) 

with open("theft-alerts.json", 'w') as outFile: 
    json.dump(theftalerts, outFile, indent=2)

输出：

STOLEN : A LARGE TAYLORS OF LOUGHBOROUGH BELL 
Stolen from Bromyard on 7 August 2014 
Item : The bell has a diameter of 37 1/2" is approx 3' tall weighs just shy of half a ton and was made by Taylor's of Loughborough in 1902. It is stamped with the numbers 232 and 11. 

The bell had come from Co-operative Wholesale Society's Crumpsall Biscuit Works in Manchester. 
Any info to : PC 2361. Tel 0300 333 3000 
Messages : Send a message 
Crime Ref : 22EJ/50213D-14 

No of items stolen : 1 

Location : UK > Hereford & Worcs 
Category : Shop, Pub, Church, Telephone Boxes & Bygones 
ID : 84377 
User : 1 ; Antique/Reclamation/Salvage Trade ; (Administrator) 
Date Created : 11 Aug 2014 15:27:57 
Date Modified : 11 Aug 2014 15:37:21;

怎能类别文本的JSON文件。 JSON文件现在是空的。

输出JSON：

[]

答

您可以定义列表，并追加您创建的列表中的所有字典对象。 e.g：

import json 

theftalerts = []; 
atheftobject = {}; 
atheftobject['location'] = 'UK > Hereford & Worcs'; 
atheftobject['category'] = 'Shop, Pub, Church, Telephone Boxes & Bygones'; 
theftalerts.append(atheftobject); 

atheftobject['location'] = 'UK'; 
atheftobject['category'] = 'Shop'; 
theftalerts.append(atheftobject); 

with open("theft-alerts.json", 'w') as outFile: 
     print(json.dump(theftalerts, outFile, indent=2))

在此之后运行theft-alerts.json将包含此JSON对象：

[ 
    { 
    "category": "Shop", 
    "location": "UK" 
    }, 
    { 
    "category": "Shop", 
    "location": "UK" 
    } 
]

你可以玩这个生成自己的JSON对象。结帐json模块

答

您的JSON输出保持空白，因为您的循环不附加到列表。

这是我会怎么提取类别名称：

如何按类别刮取文本并生成json文件？

相关推荐