Newspaper4k: Article Scraping & Curation, a continuation of the beloved newspaper3k by codelucas
At the moment the Newspaper4k Project is a fork of the well known newspaper3k by codelucas which was not updated since September 2020. The initial goal of this fork is to keep the project alive and to add new features and fix bugs.
I have duplicated all issues on the original project and will try to fix them. If you have any issues or feature requests please open an issue here.
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Experimental ChatGPT helper bot for Newspaper4k: | |
Python compatibility
- Python 3.8+ minimum
Quick start
pip install newspaper4k
Using the CLI
You can start directly from the command line, using the included CLI:
python -m newspaper --url="https://edition.cnn.com/2023/11/17/success/job-seekers-use-ai/index.html" --language=en --output-format=json --output-file=article.json
More information about the CLI can be found in the CLI documentation.
Using the Python API
Alternatively, you can use Newspaper4k in Python:
Processing one article / url at a time
import newspaper
article = newspaper.article('https://edition.cnn.com/2023/10/29/sport/nfl-week-8-how-to-watch-spt-intl/index.html')
print(article.authors)
print(article.publish_date)
print(article.text)
print(article.top_image)
print(article.movies)
article.nlp()
print(article.keywords)
print(article.summary)
Parsing and scraping whole News Sources (websites) using the Source Class
This way you can build a Source object from a newspaper websites. This class will allow you to get all the articles and categories on the website. When you build the source, articles are not yet downloaded. The build()
call will parse front page, will detect category links (if possible), get any RSS feeds published by the news site, and will create a list of article links.
You need to call download_articles()
to download the articles, but note that it can take a significant time.
download_articles()
will download the articles in a multithreaded fashion using ThreadPoolExecutor
from the concurrent
package. The number of concurrent threads can be configured in Configuration
.number_threads
or passed as an argument to build()
.
import newspaper
cnn_paper = newspaper.build('http://cnn.com', number_threads=3)
print(cnn_paper.category_urls())
article_urls = [article.url for article in cnn_paper.articles]
print(article_urls[:3])
article = cnn_paper.articles[0]
article.download()
article.parse()
print(article.title)
Or if you want to get bulk articles from the website (have in mind that this could take a long time and could get your IP blocked by the newssite):
import newspaper
cnn_source = newspaper.build('http://cnn.com', number_threads=3)
print(len(newspaper.article_urls))
articles = source.download_articles()
print(len(articles))
print(articles[0].title)
As of version 0.9.3, Newspaper4k supports Google News as a special Source object
First, make sure you have the google
extra installed, since we rely on the Gnews package to get the articles from Google News. You can install it using pip like this:
pip install newspaper4k[gnews]
Then you can use the GoogleNews
class to get articles from Google News:
from newspaper.google_news import GoogleNewsSource
source = GoogleNewsSource(
country="US",
period="7d",
max_results=10,
)
source.build(top_news=True)
print(source.article_urls())
source.download_articles()
Multilanguage features
Newspaper can extract and detect languages seamlessly based on the article meta tags. Additionally, you can specify the language for the website / article. If no language is specified, Newspaper will attempt to auto detect a language from the available meta data. The fallback language is English.
Language detection is crucial for accurate article extraction. If the wrong language is detected or provided, chances are that no article text will be returned. Before parsing, check that your language is supported by our package.
from newspaper import Article
article = Article('https://www.bbc.com/zhongwen/simp/chinese-news-67084358')
article.download()
article.parse()
print(article.title)
if article.config.use_meta_language:
print(article.meta_lang)
else:
print(article.config.language)
Docs
Check out The Docs for full and
detailed guides using newspaper.
Features
- Multi-threaded article download framework
- Newspaper website category structure detection
- News url identification
- Google News integration
- Text extraction from html
- Top image extraction from html
- All image extraction from html
- Keyword building from the extracted text
- Automatic article text summarization
- Author extraction from text
- Easy to use Command Line Interface (
python -m newspaper....
) - Output in various formats (json, csv, text)
- Works in 80+ languages (English, Chinese, German, Arabic, ...) see LANGUAGES.md for the full list of supported languages.
Evaluation
Evaluation Results
Using the dataset from ScrapingHub I created an evaluator script that compares the performance of newspaper against it's previous versions. This way we can see how newspaper updates improve or worsen the performance of the library.
Scraperhub Article Extraction Benchmark
Version | Corpus BLEU Score | Corpus Precision Score | Corpus Recall Score | Corpus F1 Score |
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Newspaper3k 0.2.8 | 0.8660 | 0.9128 | 0.9071 | 0.9100 |
Newspaper4k 0.9.0 | 0.9212 | 0.8992 | 0.9336 | 0.9161 |
Newspaper4k 0.9.1 | 0.9224 | 0.8895 | 0.9242 | 0.9065 |
Newspaper4k 0.9.2 | 0.9426 | 0.9070 | 0.9087 | 0.9078 |
Newspaper4k 0.9.3 | 0.9531 | 0.9585 | 0.9339 | 0.9460 |
Precision, Recall and F1 are computed using overlap of shingles with n-grams of size 4. The corpus BLEU score is computed using the nltk's bleu_score.
We also use our own, newly created dataset, the Newspaper Article Extraction Benchmark (NAEB) which is a collection of over 400 articles from 200 different news sources to evaluate the performance of the library.
Newspaper Article Extraction Benchmark
Version | Corpus BLEU Score | Corpus Precision Score | Corpus Recall Score | Corpus F1 Score |
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Newspaper3k 0.2.8 | 0.8445 | 0.8760 | 0.8556 | 0.8657 |
Newspaper4k 0.9.0 | 0.8357 | 0.8547 | 0.8909 | 0.8724 |
Newspaper4k 0.9.1 | 0.8373 | 0.8505 | 0.8867 | 0.8682 |
Newspaper4k 0.9.2 | 0.8422 | 0.8888 | 0.9240 | 0.9061 |
Newspaper4k 0.9.3 | 0.8695 | 0.9140 | 0.8921 | 0.9029 |
Requirements and dependencies
Following system packages are required:
- Pillow:
libjpeg-dev
zlib1g-dev
libpng12-dev
- Lxml:
libxml2-dev
libxslt-dev
- Python Development version:
python-dev
If you are on Debian / Ubuntu, install using the following:
-
Install python3
and python3-dev
:
$ sudo apt-get install python3 python3-dev
-
Install pip3
command needed to install newspaper4k
package:
$ sudo apt-get install python3-pip
-
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
.
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 newspaper4k
Contributing
see CONTRIBUTING.md
LICENSE
Authored and maintained by Andrei Paraschiv.
Newspaper was originally developed by Lucas Ou-Yang (codelucas), the original repository can be found here. Newspaper is licensed under the MIT license.
Credits
Thanks to Lucas Ou-Yang for creating the original Newspaper3k project and to all contributors of the original project.