Python newspaper - Article scraping and curation
In this article, you will learn about the Python newspaper library, its installation process, and how to use it to extract data from newspaper article.
Online news is faster and easier to access. Overall news is accessible on the site. The content in the online news is well organised for the readers. Often, most of us are not interested in reading the complete article. Generally, we read only the headlines, titles, or first few paragraphs. Web scraping plays an important role here. Web Scraping is the process of extracting data from websites. The extracted data can be content, urls, contact information, etc., which we can store in a local file or database.
Newspaper is an amazing Python module used for extracting and curating articles. It is rich in features like news url identification, article image extraction, title extraction, summary extraction, author extraction, etc. It use advance algorithms to extract all the useful text from a website. We can retrieve all the useful information from an article, such as title, keywords, etc., by using the functions of the Newspaper Module.
Python newspaper installation
If you are using Python2, you must install the newspaper module, and for Python3, you must install newspaper3k, not newspaper. So, open your terminal window and run the following command.
Python2pip install newspaper
Python3
pip install newspaper3k
It installs all the supporting packages along with the newspaper. Here is the successful installation message-
Newspaper module supports following languages:
Input code for the language | Language |
ar | Arabic |
da | Danish |
de | German |
el | Greek |
en | English |
it | Italian |
zh | Chinese |
...... and many more |
Some Useful functions of Python newspaper
Function/attribute name | Description |
download() | to download an article |
parse() | to parse an article |
nlp() | to apply nlp(natural language processing) on article |
text | to extract article's text |
title | to extract article's title |
summary | to extract article's summary |
keywords | to extract article's keywords |
Example of Python newspaper
In the given Python program, we have first imported the required module and created an instance of an article. In the first parameter, we have passed the url of the article. Furthermore, we have extracted the information associated with the specified article.
from newspaper import Article
news_article = Article('https://www.seroundtable.com/google-ads-automatically-changing-campaigns-30455.html')
#To download the article
news_article.download()
#To parse the article
news_article.parse()
#To perform natural language processing
news_article.nlp()
#article.download()
news_article.download()
#print title
print("Article Title")
print(news_article.title)
#print text
print("Article Text")
print(news_article.text)
#print keywords
print("Article Keywords")
print(news_article.keywords)
#print summary
print("Article Summary")
print(news_article.summary)
# get image
print("Article Get Image")
print(news_article.top_image)
# Article Publication Date
print("Publication Date")
print(news_article.publish_date)
The above code returns the following output-
(env) c:\python37\Scripts\projects>test.py
Article Title
Google Ads Automatically Changing Some Campaigns Without Documenting In Change History
Article Text
Lior Krolewicz spotted that one of his clients had changes in his Google Ads account, changes that the client did not make, nor did his agency. After digging in, it turns out that the client was enrolled in "Auto Applied Recommendations Control Center" and because of that, the changes were being made.
But to make things worse, the no one really knew and the changes were not showing up in the Google Ads change history logs. The Auto Applied Recommendations has its own change log of sorts, not part of the main Google Ads change history log. I do not know why Google would do that - all changes should show in one change history log - otherwise it looks like you are hiding something.
Lior said this beta "seems to give Google permission to automatically make changes to 33 different parts of an account."
Ginny Marvin covered it and said "now is the time to log into the dashboard to check the settings for your accounts. Not all accounts are eligible at this point, however, depending on country and language, past spend, policy compliance, and other factors."
To be fair, this client specifically did opt in to this program, but I guess the client didn't fully know what he was getting himself into. You should check your clients and your own accounts to see if they are in this program, you can login over here to see.
Note: The recommendations that get applied via this Auto Applied Recommendations Control Center beta program do not show up in change history log in Google Ads. To see this, you will need to log into the separate Auto Applied Recommendations Control Center to see whether you're opted in and what changes have been made.
So beware here and check your accounts now.
Forum discussion at Twitter.
Article Keywords
['recommendations', 'auto', 'change', 'documenting', 'history', 'applied', 'google', 'changing', 'changes', 'automatically', 'campaigns', 'ads', 'log', 'client']
Article Summary
Lior Krolewicz spotted that one of his clients had changes in his Google Ads account, changes that the client did not make, nor did his agency.
But to make things worse, the no one really knew and the changes were not showing up in the Google Ads change history logs.
The Auto Applied Recommendations has its own change log of sorts, not part of the main Google Ads change history log.
I do not know why Google would do that - all changes should show in one change history log - otherwise it looks like you are hiding something.
Note: The recommendations that get applied via this Auto Applied Recommendations Control Center beta program do not show up in change history log in Google Ads.
Article Get Image
https://s3.amazonaws.com/images.seroundtable.com/streamer-google-ads-1605642974.jpg
Publication Date
None
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