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爬虫几大框架解读

时间:2019-02-25 18:39:24      阅读:195      评论:0      收藏:0      [点我收藏+]

标签:sim   综合   spider   png   detail   specified   attr   time   requests   

1.pysider的demo(常规操作)

from pyspider.libs.base_handler import *


class Handler(BaseHandler):
    crawl_config = {
    }

    @every(minutes=24 * 60)
    def on_start(self):
        self.crawl(‘http://scrapy.org/‘, callback=self.index_page)

    @config(age=10 * 24 * 60 * 60)
    def index_page(self, response):
        for each in response.doc(‘a[href^="http"]‘).items():
            self.crawl(each.attr.href, callback=self.detail_page)

    def detail_page(self, response):
        return {
            "url": response.url,
            "title": response.doc(‘title‘).text(),
        }

 2.newspaper

基本是用于文本,文献分析,常用于文本类型提取

>>> from newspaper import Article

>>> url = ‘http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/‘
>>> article = Article(url)
>>> article.download()

>>> article.html
‘<!DOCTYPE HTML><html itemscope itemtype="http://...‘
>>> article.parse()

>>> article.authors
[‘Leigh Ann Caldwell‘, ‘John Honway‘]

>>> article.publish_date
datetime.datetime(2013, 12, 30, 0, 0)

>>> article.text
‘Washington (CNN) -- Not everyone subscribes to a New Year‘s resolution...‘

>>> article.top_image
‘http://someCDN.com/blah/blah/blah/file.png‘

>>> article.movies
[‘http://youtube.com/path/to/link.com‘, ...]
>>> article.nlp()

>>> article.keywords
[‘New Years‘, ‘resolution‘, ...]

>>> article.summary
‘The study shows that 93% of people ...‘
>>> import newspaper

>>> cnn_paper = newspaper.build(‘http://cnn.com‘)

>>> for article in cnn_paper.articles:
>>>     print(article.url)
http://www.cnn.com/2013/11/27/justice/tucson-arizona-captive-girls/
http://www.cnn.com/2013/12/11/us/texas-teen-dwi-wreck/index.html
...

>>> for category in cnn_paper.category_urls():
>>>     print(category)

http://lifestyle.cnn.com
http://cnn.com/world
http://tech.cnn.com
...

>>> cnn_article = cnn_paper.articles[0]
>>> cnn_article.download()
>>> cnn_article.parse()
>>> cnn_article.nlp()
...
>>> from newspaper import fulltext

>>> html = requests.get(...).text
>>> text = fulltext(html)

Newspaper can extract and detect languages seamlessly. If no language is specified, Newspaper will attempt to auto detect a language.

>>> from newspaper import Article
>>> url = ‘http://www.bbc.co.uk/zhongwen/simp/chinese_news/2012/12/121210_hongkong_politics.shtml‘

>>> a = Article(url, language=‘zh‘) # Chinese

>>> a.download()
>>> a.parse()

>>> print(a.text[:150])
香港行政长官梁振英在各方压力下就其大宅的违章建
筑(僭建)问题到立法会接受质询,并向香港民众道歉。
梁振英在星期二(12月10日)的答问大会开始之际
在其演说中道歉,但强调他在违章建筑问题上没有隐瞒的
意图和动机。 一些亲北京阵营议员欢迎梁振英道歉,
且认为应能获得香港民众接受,但这些议员也质问梁振英有

>>> print(a.title)
港特首梁振英就住宅违建事件道歉

If you are certain that an entire news source is in one language, go ahead and use the same api :)

>>> import newspaper
>>> sina_paper = newspaper.build(‘http://www.sina.com.cn/‘, language=‘zh‘)

>>> for category in sina_paper.category_urls():
>>>     print(category)
http://health.sina.com.cn
http://eladies.sina.com.cn
http://english.sina.com
...

>>> article = sina_paper.articles[0]
>>> article.download()
>>> article.parse()

>>> print(article.text)
新浪武汉汽车综合 随着汽车市场的日趋成熟,
传统的“集全家之力抱得爱车归”的全额购车模式已然过时,
另一种轻松的新兴 车模式――金融购车正逐步成为时下消费者购
买爱车最为时尚的消费理念,他们认为,这种新颖的购车
模式既能在短期内
...

>>> print(article.title)
两年双免0手续0利率 科鲁兹掀背金融轻松购_武汉车市_武汉汽
车网_新浪汽车_新浪网

爬虫几大框架解读

标签:sim   综合   spider   png   detail   specified   attr   time   requests   

原文地址:https://www.cnblogs.com/jiabotao/p/10432316.html

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