Data Pipelines

newspaper

Extract news articles and content with Python.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Newspaper is a powerful library for extracting news articles and curating content in Python. It simplifies the process of parsing web pages to extract text, metadata, authors, images, and more from news sites.

Newspaper stands out as a lightweight, easy-to-use Python library for extracting and curating content from news articles, offering broad language support without the need for internet access once data is downloaded.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to extract structured data from news articles in Python projects.

  • Data scientists working on natural language processing tasks that require clean, curated text data.

  • Researchers analyzing content trends across different news sources.

Look elsewhere if

  • Projects requiring real-time streaming of news updates (newspaper is batch-oriented).

  • Applications needing extensive customization beyond its core functionalities.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-Python developers

    The API heavily relies on Python-specific patterns and idioms, which may be challenging for developers unfamiliar with the language.

  2. 02

    Frequent breaking changes between versions

    Historical updates from version 0.1 to 0.2 required significant code adjustments due to API redesigns and deprecated methods.

  3. 03

    Limited support for non-English languages

    While language detection is supported, the accuracy and completeness of text extraction from non-English news sites can be inconsistent.

  4. 04

    Performance issues with large-scale data processing

    The library may experience slow performance when parsing a high volume of articles simultaneously due to its reliance on synchronous operations.

What it does well

  • Extracts text, metadata, authors, images from news articles.

  • Supports multiple languages and can detect language automatically.

  • Can be used for content curation and analysis.

  • Does not require internet access once data is downloaded.

  • Easy to integrate into Python projects.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up newspaper

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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newspaper — tracked on AI Navigator

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