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December 22, 2015 06:39
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utilize daily.zhihu' api for info extraction and peewee for database management.
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#coding:utf-8 | |
import urllib2 | |
import json | |
import peewee | |
from datetime import date, timedelta | |
from BeautifulSoup import BeautifulSoup | |
today = date.today() | |
one_day = timedelta(days=1) | |
date_i = date(2013,5,20) | |
daily_zhihu_before = 'http://news.at.zhihu.com/api/1.2/news/before/' | |
headers = {'Referer':'http://www.google.com', 'User-Agent':'Opera/9.99',} | |
myDB = peewee.MySQLDatabase("zhihu", host="127.0.0.1", user="edward") | |
class DailyZhihu(peewee.Model): | |
authors = peewee.CharField(max_length=100) | |
q_title = peewee.CharField(null=True) | |
a_title = peewee.CharField(max_length=100) | |
a_id = peewee.IntegerField() | |
img_url = peewee.CharField() | |
content = peewee.TextField() | |
class Meta: | |
database = myDB | |
DailyZhihu.create_table() | |
while date_i < today: | |
url = daily_zhihu_before + date_i.strftime("%Y%m%d") | |
req = urllib2.Request(url, None, headers) | |
res = json.load(urllib2.urlopen(req)) | |
for i in res[u'news']: | |
article_title = i[u'title'] | |
article_img = i[u'image'] | |
article_id = i[u'id'] | |
article_req = urllib2.Request(i[u'url'], None, headers) | |
article = json.load(urllib2.urlopen(article_req)) | |
soup = BeautifulSoup(article[u'body']) | |
article_authors = " ".join([a.text.replace(u',', '') for a in | |
soup.findAll(attrs={'class':'author'})]) | |
question = " ".join([a.text for a in | |
soup.findAll(attrs={'class':'question-title'})]) | |
article_content = "\n".join([a.text for a in | |
soup.findAll(attrs={'class':'content'})]) | |
store_article = DailyZhihu(authors=article_authors, | |
q_title=question, | |
a_title=article_title, | |
a_id=article_id, | |
img_url=article_img, | |
content=article_content) | |
store_article.save() | |
date_i += one_day | |
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