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  • Newspaper

    千次阅读 2017-10-14 17:35:16
    Newspaper3k: Article scraping & curation   Inspired by requests for its simplicity and powered by lxml for its speed: "Newspaper is an amazing python library for extracting & curating ...

    Newspaper3k: Article scraping & curation

     Build status Coverage status

    Inspired by requests for its simplicity and powered by lxml for its speed:

    "Newspaper is an amazing python library for extracting & curating articles." -- tweeted byKenneth Reitz, Author of requests

    "Newspaper delivers Instapaper style article extraction." -- The Changelog

    Newspaper is a Python3 library! Or, view our deprecated and buggy Python2 branch

    A Glance:

    >>> 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 has seamless language extraction and detection. 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(1210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

    Documentation

    Check out The Documentation for full and detailed guides using newspaper.

    Interested in adding a new language for us? Refer to: Docs - Adding new languages

    Features

    • Multi-threaded article download framework
    • News url identification
    • Text extraction from html
    • Top image extraction from html
    • All image extraction from html
    • Keyword extraction from text
    • Summary extraction from text
    • Author extraction from text
    • Google trending terms extraction
    • Works in 10+ languages (English, Chinese, German, Arabic, ...)
    >>> import newspaper
    >>> newspaper.languages()
    
    Your available languages are:
    input code      full name
    
      ar              Arabic
      ru              Russian
      nl              Dutch
      de              German
      en              English
      es              Spanish
      fr              French
      he              Hebrew
      it              Italian
      ko              Korean
      no              Norwegian
      pl              Polish
      pt              Portuguese
      sv              Swedish
      hu              Hungarian
      fi              Finnish
      da              Danish
      zh              Chinese
      id              Indonesian
      vi              Vietnamese
      tr              Turkish
      el              Greek
      uk              Ukrainian

    Get it now

    Run ✅ pip3 install newspaper3k ✅

    NOT ⛔ pip3 install newspaper ⛔

    On python3 you must install newspaper3knot newspapernewspaper is our python2 library. Although installing newspaper is simple with pip, you will run into fixable issues if you are trying to install on ubuntu.

    If you are on Debian / Ubuntu, install using the following:

    • Install pip3 command needed to install newspaper3k package:

      $ sudo apt-get install python3-pip
      
    • Python development version, needed for Python.h:

      $ sudo apt-get install python-dev
      
    • lxml requirements:

      $ sudo apt-get install libxml2-dev libxslt-dev
      
    • For PIL to recognize .jpg images:

      $ sudo apt-get install libjpeg-dev zlib1g-dev libpng12-dev
      

    NOTE: If you find problem installing libpng12-dev, try installing libpng-dev.

    • Download NLP related corpora:

      $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3
      
    • Install the distribution via pip:

      $ pip3 install newspaper3k
      

    If you are on OSX, install using the following, you may use both homebrew or macports:

    $ brew install libxml2 libxslt
    
    $ brew install libtiff libjpeg webp little-cms2
    
    $ pip3 install newspaper3k
    
    $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3
    

    Otherwise, install with the following:

    NOTE: You will still most likely need to install the following libraries via your package manager

    • PIL: libjpeg-dev zlib1g-dev libpng12-dev
    • lxml: libxml2-dev libxslt-dev
    • Python Development version: python-dev
    $ pip3 install newspaper3k
    
    $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3
    

    Development

    If you'd like to contribute and hack on the newspaper project, feel free to clone a development version of this repository locally:

    git clone git://github.com/codelucas/newspaper.git
    

    Once you have a copy of the source, you can embed it in your Python package, or install it into your site-packages easily:

    $ pip3 install -r requirements.txt
    $ python3 setup.py install
    

    Feel free to give our testing suite a shot, everything is mocked!:

    $ python3 tests/unit_tests.py
    

    Planning on tweaking our full-text algorithm? Add the fulltext parameter:

    $ python3 tests/unit_tests.py fulltext
    

    Demo

    View a working online demo here: http://newspaper-demo.herokuapp.com

    LICENSE

    Authored and maintained by Lucas Ou-Yang.

    Parse.ly sponsored some work on newspaper, specifically focused on automatic extraction.

    Newspaper uses a lot of python-goose's parsing code. View their license here.

    Please feel free to email & contact me if you run into issues or just would like to talk about the future of this library and news extraction in general!

    转载至:https://www.ctolib.com/newspaper.html

    展开全文
  • Old Newspaper

    2019-10-24 14:27:34
    Old Newspaper
  • python newspaper_newspaper3k

    2020-12-14 21:46:44
    Get it nowRun ✅ pip3 install newspaper3k ✅NOT ⛔ pip3 install newspaper ⛔On python3 you must install newspaper3k, not newspaper. newspaper is our python2 library.Although installing newspaper is ...

    Get it now

    Run ✅ pip3 install newspaper3k ✅

    NOT ⛔ pip3 install newspaper ⛔

    On python3 you must install newspaper3k, not newspaper. newspaper is our python2 library.

    Although installing newspaper is simple with pip, you will

    run into fixable issues if you are trying to install on ubuntu.

    If you are on Debian / Ubuntu, install using the following:

    Install pip3 command needed to install newspaper3k package:

    $ sudo apt-get install python3-pip

    Python development version, needed for Python.h:

    $ sudo apt-get install python-dev

    lxml requirements:

    $ sudo apt-get install libxml2-dev libxslt-dev

    For PIL to recognize .jpg images:

    $ sudo apt-get install libjpeg-dev zlib1g-dev libpng12-dev

    NOTE: If you find problem installing libpng12-dev, try installing libpng-dev.

    Download NLP related corpora:

    $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

    Install the distribution via pip:

    $ pip3 install newspaper3k

    If you are on OSX, install using the following, you may use both homebrew or macports:

    $ brew install libxml2 libxslt

    $ brew install libtiff libjpeg webp little-cms2

    $ pip3 install newspaper3k

    $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

    Otherwise, install with the following:

    NOTE: You will still most likely need to install the following libraries via your package manager

    PIL: libjpeg-dev zlib1g-dev libpng12-dev

    lxml: libxml2-dev libxslt-dev

    Python Development version: python-dev

    $ pip3 install newspaper3k

    $ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

    展开全文
  • Template - Newspaper

    2020-12-30 17:12:43
    <div><p>Simple student newspaper template targeted towards High School and University students. (cc )</p><p>该提问来源于开源项目:mozilla/webmaker-android</p></div>
  • by 程序员野客1 简介newspaper 框架是一个主要用来提取新闻内容及分析的 Python 爬虫框架,更确切的说,newspaper 是一个 Python 库,但这个库由第三方开发。newspaper 主要具有如下几个特点:比较简洁速度较快支持...

    by 程序员野客

    1 简介

    newspaper 框架是一个主要用来提取新闻内容及分析的 Python 爬虫框架,更确切的说,newspaper 是一个 Python 库,但这个库由第三方开发。

    newspaper 主要具有如下几个特点:

    比较简洁

    速度较快

    支持多线程

    支持多语言

    安装方法:pip3 install newspaper3k

    2 基本使用

    2.1 查看支持语言

    import newspaper

    print(newspaper.languages())

    2.2 获取新闻

    我们以环球网为例,如下所示:

    import newspaper

    hq_paper = newspaper.build("https://tech.huanqiu.com/", language="zh", memoize_articles=False)

    默认情况下,newspaper 缓存所有以前提取的文章,并删除它已经提取的任何文章,使用 memoize_articles 参数选择退出此功能。

    2.3 获取文章 URL

    >>> import newspaper

    >>> hq_paper = newspaper.build("https://tech.huanqiu.com/", language="zh", memoize_articles=False)

    >>> for article in hq_paper.articles:

    >>> print(article.url)

    http://world.huanqiu.com/gallery/9CaKrnQhXvy

    http://mil.huanqiu.com/gallery/7RFBDCOiXNC

    http://world.huanqiu.com/gallery/9CaKrnQhXvz

    http://world.huanqiu.com/gallery/9CaKrnQhXvw

    ...

    2.4 获取类别

    >>> import newspaper

    >>> hq_paper = newspaper.build("https://tech.huanqiu.com/", language="zh", memoize_articles=False)

    >>> for category in hq_paper.category_urls():

    >>> print(category)

    http://www.huanqiu.com

    http://tech.huanqiu.com

    http://smart.huanqiu.com

    https://tech.huanqiu.com/

    2.5 获取品牌和描述

    >>> import newspaper

    >>> hq_paper = newspaper.build("https://tech.huanqiu.com/", language="zh", memoize_articles=False)

    >>> print(hq_paper.brand)

    >>> print(hq_paper.description)

    huanqiu

    环球网科技,不一样的IT视角!以“成为全球科技界的一面镜子”为出发点,向关注国际科技类资讯的网民,提供国际科技资讯的传播与服务。

    2.6 下载解析

    我们选取其中一篇文章为例,如下所示:

    >>> import newspaper

    >>> hq_paper = newspaper.build("https://tech.huanqiu.com/", language="zh", memoize_articles=False)

    >>> article = hq_paper.articles[4]

    # 下载

    >>> article.download()

    # 解析

    article.parse()

    # 获取文章标题

    >>> print("title=", article.title)

    # 获取文章日期

    >>> print("publish_date=", article.publish_date)

    # 获取文章作者

    >>> print("author=", article.authors)

    # 获取文章顶部图片地址

    >>> print("top_iamge=", article.top_image)

    # 获取文章视频链接

    >>> print("movies=", article.movies)

    # 获取文章摘要

    >>> print("summary=", article.summary)

    # 获取文章正文

    >>> print("text=", article.text)

    title= “美丽山”的美丽传奇

    publish_date= 2019-11-15 00:00:00

    ...

    2.7 Article 类使用

    from newspaper import Article

    article = Article('https://money.163.com/19/1130/08/EV7HD86300258105.html')

    article.download()

    article.parse()

    print("title=", article.title)

    print("author=", article.authors)

    print("publish_date=", article.publish_date)

    print("top_iamge=", article.top_image)

    print("movies=", article.movies)

    print("text=", article.text)

    print("summary=", article.summary)

    2.8 解析 html

    我们通过 requests 库获取文章 html 信息,用 newspaper 进行解析,如下所示:

    import requests

    from newspaper import fulltext

    html = requests.get('https://money.163.com/19/1130/08/EV7HD86300258105.html').text

    print('获取的原信息-->', html)

    text = fulltext(html, language='zh')

    print('解析后的信息', text)

    2.9 nlp(自然语言处理)

    我们看一下在 nlp 处理前后获取一篇新闻的关键词情况,如下所示:

    >>> from newspaper import Article

    >>> article = Article('https://money.163.com/19/1130/08/EV7HD86300258105.html')

    >>> article.download()

    >>> article.parse()

    >>> print('处理前-->', article.keywords)

    # nlp 处理

    >>> article.nlp()

    >>> print('处理后-->', article.keywords)

    处理前--> []

    处理后--> ['亚洲最大水秀项目成摆设', '至今拖欠百万设计费']

    通过结果我们可以看出 newspaper 框架的 nlp 处理效果还算可以。

    2.10 多任务

    当我们需要从多个渠道获取新闻信息时可以采用多任务的方式,如下所示:

    import newspaper

    from newspaper import news_pool

    hq_paper = newspaper.build('https://www.huanqiu.com', language="zh")

    sh_paper = newspaper.build('http://news.sohu.com', language="zh")

    sn_paper = newspaper.build('https://news.sina.com.cn', language="zh")

    papers = [hq_paper, sh_paper, sn_paper]

    # 线程数为 3 * 2 = 6

    news_pool.set(papers, threads_per_source=2)

    news_pool.join()

    print(hq_paper.articles[0].html)

    因获取内容较多,上述代码执行可能需要一段时间,我们要耐心等待。

    3 词云实现

    下面我们来看一下如何实现一个简单的词云。

    需要的库

    import newspaper

    # 词频统计库

    import collections

    # numpy 库

    import numpy as np

    # 结巴分词

    import jieba

    # 词云展示库

    import wordcloud

    # 图像处理库

    from PIL import Image

    # 图像展示库

    import matplotlib.pyplot as plt

    第三方库的安装使用 pip install 即可,如:pip install wordcloud。

    文章获取及处理

    # 获取文章

    article = newspaper.Article('https://news.sina.com.cn/o/2019-11-28/doc-iihnzahi3991780.shtml')

    # 下载文章

    article.download()

    # 解析文章

    article.parse()

    # 对文章进行 nlp 处理

    article.nlp()

    # nlp 处理后的文章拼接

    article_words = "".join(article.keywords)

    # 精确模式分词(默认模式)

    seg_list_exact = jieba.cut(article_words, cut_all=False)

    # 存储分词结果

    object_list = []

    # 移出的词

    rm_words = ['迎', '以来', '将']

    # 迭代分词对象

    for word in seg_list_exact:

    if word not in rm_words:

    object_list.append(word)

    # 词频统计

    word_counts = collections.Counter(object_list)

    # 获取前 10 个频率最高的词

    word_top10 = word_counts.most_common(10)

    # 词条及次数

    for w, c in word_top10:

    print(w, c)

    生成词云

    # 词频展示

    # 定义词频背景

    mask = np.array(Image.open('bg.jpg'))

    wc = wordcloud.WordCloud(

    # 设置字体格式

    font_path='C:/Windows/Fonts/simhei.ttf',

    # 背景图

    mask=mask,

    # 设置最大显示的词数

    max_words=100,

    # 设置字体最大值

    max_font_size=120

    )

    # 从字典生成词云

    wc.generate_from_frequencies(word_counts)

    # 从背景图建立颜色方案

    image_colors = wordcloud.ImageColorGenerator(mask)

    # 显示词云

    plt.imshow(wc)

    # 关闭坐标轴

    plt.axis('off')

    plt.savefig('wc.jpg')

    # 显示图像

    plt.show()

    效果如图所示:

    总结

    本文为大家介绍了 Python 爬虫框架 newspaper,让大家能够对 newspaper 有个基本了解以及能够上手使用。在使用的过程中,我们会发现 newspaper 框架还存在一些 bug,因此,我们在实际工作中需要综合考虑、谨慎使用。

    参考:

    关注公众号:python技术,回复"python"一起学习交流

    展开全文
  • 一、框架介绍Newspaper是一个python3库,但是Newspaper框架并不适用于实际工程类新闻信息爬取工作,框架不稳定,爬取过程中会有各种bug,例如获取不到url、新闻信息等,但对于想获取一些新闻语料的朋友不妨一试,简单...

    一、框架介绍

    Newspaper是一个python3库,但是Newspaper框架并不适用于实际工程类新闻信息爬取工作,框架不稳定,爬取过程中会有各种bug,例如获取不到url、新闻信息等,但对于想获取一些新闻语料的朋友不妨一试,简单方便易上手,且不需要掌握太多关于爬虫方面的专业知识。

    这是 Newspaper 的github链接:

    https://github.com/codelucas/newspaper

    这是 Newspaper文档说明的链接:

    https://newspaper.readthedocs.io/en/latest/

    这是 Newspaper快速入门的链接:

    https://newspaper.readthedocs.io/en/latest/user_guide/quickstart.html

    安装方法:

    pip3 install newspaper3k

    二、功能

    主要功能如下:

    多线程文章下载框架

    新闻网址识别

    从html中提取文本

    从html中提取顶部图像

    从html中提取所有图像

    从文本中提取关键字

    从文本中提取摘要

    从文本中提取作者

    Google趋势术语提取。

    使用10种以上语言(英语,中文,德语,阿拉伯语……)

    介绍:

    1.建立新闻来源

    importnewspaper

    web_paper= newspaper.build("http://www.sxdi.gov.cn/gzdt/jlsc/", language="zh", memoize_articles=False)

    注:文章缓存:默认情况下,newspaper缓存所有以前提取的文章,并删除它已经提取的任何文章。此功能用于防止重复的文章和提高提取速度。可以使用memoize_articles参数选择退出此功能。

    2.提取文章的url

    for article inweb_paper.articles:print(article.url)

    output:

    http://www.sxdi.gov.cn/gzdt/jlsc/2019101220009.html

    http://www.sxdi.gov.cn/gzdt/jlsc/2019101119998.html

    http://www.sxdi.gov.cn/gzdt/jlsc/2019100919989.html

    http://www.sxdi.gov.cn/gzdt/jlsc/2019100819980.html

    http://www.sxdi.gov.cn/gzdt/jlsc/2019092919940.html

    http://www.sxdi.gov.cn/gzdt/jlsc/2019092919933.html

    ....

    3.提取源类别

    for category inweb_paper.category_urls():print(category)

    output:

    http://www.sxdi.gov.cn/gzdt/jlsc/....

    4.提取源提要

    for feed_url inweb_paper.feed_urls():print(feed_url)

    5.提取源品牌和描述

    print(web_paper.brand) #品牌

    print(web_paper.description) #描述

    print("一共获取%s篇文章" % web_paper.size()) #文章的数目

    6.下载文章

    from newspaper importArticle

    article= Article("http://www.sol.com.cn/", language='zh') #Chinese

    article.download()

    7.解析文章并提取想要的信息

    article.parse() #网页解析

    print("title=",article.title) #获取文章标题

    print("author=", article.authors) #获取文章作者

    print("publish_date=", article.publish_date) #获取文章日期

    print("top_iamge=",article.top_image) #获取文章顶部图片地址

    print("movies=",article.movies) #获取文章视频链接

    print("text=",article.text,"\n") #获取文章正文

    article.nlp()print('keywords=',article.keywords)#从文本中提取关键字

    print("summary=",article.summary)#获取文章摘要

    print("images=",article.images)#从html中提取所有图像

    print("imgs=",article.imgs)print("html=",article.html)#获取html

    简单例子:

    importnewspaperfrom newspaper importArticledefspider_newspaper_url(url):"""默认情况下,newspaper缓存所有以前提取的文章,并删除它已经提取的任何文章。

    使用memoize_articles参数选择退出此功能。"""web_paper= newspaper.build(url, language="zh", memoize_articles=False)print("提取新闻页面的url!!!")for article inweb_paper.articles:#获取新闻网页的url

    print("新闻页面url:", article.url)#调用spider_newspaper_information函数获取新闻网页数据

    spider_newspaper_information(article.url)print("一共获取%s篇文章" % web_paper.size()) #文章的数目

    #获取文章的信息

    defspider_newspaper_information(url):#建立链接和下载文章

    article = Article(url, language='zh') #Chinese

    article.download()

    article.parse()#获取文章的信息

    print("title=", article.title) #获取文章标题

    print("author=", article.authors) #获取文章作者

    print("publish_date=", article.publish_date) #获取文章日期

    #print("top_iamge=", article.top_image) # 获取文章顶部图片地址

    #print("movies=", article.movies) # 获取文章视频链接

    print("text=", article.text, "\n") #获取文章正文

    print("summary=", article.summary) #获取文章摘要

    if __name__ == "__main__":

    web_lists= ["http://www.sxdi.gov.cn/gzdt/jlsc/","http://www.people.com.cn/GB/59476/"]for web_list inweb_lists:

    spider_newspaper_url(web_list)

    展开全文
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