A python script to scrape text from websites. This works surprisingly well on most news websites when you have the URL to the story. Use GDELT urls for the best results.

utilities.py

# Author: Linwood Creekmore
# Email: valinvescap@gmail.com
# Description:  Python script to pull content from a website (works on news stories).

#Licensed under GNU GPLv3; see https://choosealicense.com/licenses/lgpl-3.0/ for details

# Notes
"""
23 Oct 2017: updated to include readability based on PyCon talk: https://github.com/DistrictDataLabs/PyCon2016/blob/master/notebooks/tutorial/Working%20with%20Text%20Corpora.ipynb
18 Jul 2018: added keywords and summary
"""

###################################
# Standard Library imports
###################################

import re
import pytz
import datetime
import platform


###################################
# Third party imports
###################################

import requests
from newspaper import Article
from bs4 import BeautifulSoup
from readability.readability import Document as Paper
from requests.packages.urllib3.exceptions import InsecureRequestWarning


requests.packages.urllib3.disable_warnings(InsecureRequestWarning)


done = {}


def textgetter(url):
    """Scrapes web news and returns the content

    Parameters
    ----------

    url : str
        web address to news report

    Returns 
    -------
    
    answer : dict
        Python dictionary with key/value pairs for:
            text (str) - Full text of article
            url (str) - url to article
            title (str) - extracted title of article
            author (str) - name of extracted author(s)
            base (str) - base url of where article was located
            provider (str) - string of the news provider from url
            published_date (str,isoformat) - extracted date of article
            top_image (str) - extracted url of the top image for article

    """
    global done
    TAGS = ['h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'h7', 'p', 'li']

    # regex for url check
    s = re.compile('(http://|https://)([A-Za-z0-9_\.-]+)')
    u = re.compile("(http://|https://)(www.)?(.*)(\.[A-Za-z0-9]{1,4})$")
    if s.search(url):
        site = u.search(s.search(url).group()).group(3)
    else:
        site = None
    answer = {}
    # check that its an url
    if s.search(url):
        if url in done.keys():
            yield done[url]
            pass
        try:
            # make a request to the url
            r = requests.get(url, verify=False, timeout=1)
        except:
            # if the url does not return data, set to empty values
            done[url] = "Unable to reach website."
            answer['author'] = None
            answer['base'] = s.search(url).group()
            answer['provider']=site
            answer['published_date']=None
            answer['text'] = "Unable to reach website."
            answer['title'] = None
            answer['top_image'] = None
            answer['url'] = url
            answer['keywords']=None
            answer['summary']=None
            yield answer
        # if url does not return successfully, set ot empty values
        if r.status_code != 200:
            done[url] = "Unable to reach website."
            answer['author'] = None
            answer['base'] = s.search(url).group()
            answer['provider']=site
            answer['published_date']=None
            answer['text'] = "Unable to reach website."
            answer['title'] = None
            answer['top_image'] = None
            answer['url'] = url
            answer['keywords']=None
            answer['summary']=None

        # test if length of url content is greater than 500, if so, fill data
        if len(r.content)>500:
            # set article url
            article = Article(url)
            # test for python version because of html different parameters
            if int(platform.python_version_tuple()[0])==3:
                article.download(input_html=r.content)
            elif int(platform.python_version_tuple()[0])==2:
                article.download(html=r.content)
            # parse the url
            article.parse()
            article.nlp()
            # if parse doesn't pull text fill the rest of the data
            if len(article.text) >= 200:
                answer['author'] = ", ".join(article.authors)
                answer['base'] = s.search(url).group()
                answer['provider']=site
                answer['published_date'] = article.publish_date
                answer['keywords']=article.keywords
                answer['summary']=article.summary
                # convert the data to isoformat; exception for naive date
                if isinstance(article.publish_date,datetime.datetime):
                    try:
                        answer['published_date']=article.publish_date.astimezone(pytz.utc).isoformat()
                    except:
                        answer['published_date']=article.publish_date.isoformat()
                

                answer['text'] = article.text
                answer['title'] = article.title
                answer['top_image'] = article.top_image
                answer['url'] = url
                
                

            # if previous didn't work, try another library
            else:
                doc = Paper(r.content)
                data = doc.summary()
                title = doc.title()
                soup = BeautifulSoup(data, 'lxml')
                newstext = " ".join([l.text for l in soup.find_all(TAGS)])

                # as we did above, pull text if it's greater than 200 length
                if len(newstext) > 200:
                    answer['author'] = None
                    answer['base'] = s.search(url).group()
                    answer['provider']=site
                    answer['published_date']=None
                    answer['text'] = newstext
                    answer['title'] = title
                    answer['top_image'] = None
                    answer['url'] = url
                    answer['keywords']=None
                    answer['summary']=None
                # if nothing works above, use beautiful soup
                else:
                    newstext = " ".join([
                        l.text
                        for l in soup.find_all(
                            'div', class_='field-item even')
                    ])
                    done[url] = newstext
                    answer['author'] = None
                    answer['base'] = s.search(url).group()
                    answer['provider']=site
                    answer['published_date']=None
                    answer['text'] = newstext
                    answer['title'] = title
                    answer['top_image'] = None
                    answer['url'] = url
                    answer['keywords']=None
                    answer['summary']=None
        # if nothing works, fill with empty values
        else:
            answer['author'] = None
            answer['base'] = s.search(url).group()
            answer['provider']=site
            answer['published_date']=None
            answer['text'] = 'No text returned'
            answer['title'] = None
            answer['top_image'] = None
            answer['url'] = url
            answer['keywords']=None
            answer['summary']=None
            yield answer
        yield answer

    # the else clause to catch if invalid url passed in
    else:
        answer['author'] = None
        answer['base'] = s.search(url).group()
        answer['provider']=site
        answer['published_date']=None
        answer['text'] = 'This is not a proper url'
        answer['title'] = None
        answer['top_image'] = None
        answer['url'] = url
        answer['keywords']=None
        answer['summary']=None
        yield answer
        

How do you use this? I tried it with a test URL and when I tried to print an item from the generator object that came back I got

for i in textgetter('HTTP://WWW.ACCESSBHM.COM'): print(i)

--> 182 answer['base'] = s.search(url).group()
AttributeError: 'NoneType' object has no attribute 'group'

Traceback (most recent call last):
File "main.py", line 14, in
from readability.readability import Document as Paper
ModuleNotFoundError: No module named 'readability.readability'
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