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Npr Article Scraper

Pricing

from $10.00 / 1,000 results

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Npr Article Scraper

Npr Article Scraper

Pricing

from $10.00 / 1,000 results

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0.0

(0)

Developer

Donny

Donny

Maintained by Community

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0

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2

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1

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a day ago

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NPR News Article Scraper

What Does NPR News Article Scraper Do?

The NPR News Article Scraper is an Apify actor that extracts news articles from NPR (National Public Radio) using the lightweight text version at text.npr.org. It retrieves article titles, summaries, content, dates, and topic categories in a clean structured format. This approach ensures fast, reliable scraping without heavy page rendering.

Why Scrape NPR News?

NPR is one of the most trusted news sources in the United States, providing high-quality journalism across politics, science, culture, technology, and world affairs. This scraper enables automated news monitoring, content aggregation, media analysis, and research workflows. Using the text-only version of NPR ensures maximum reliability and speed since the pages are clean HTML without complex JavaScript.

How to Use This NPR Scraper

  1. Provide one or more NPR start URLs (defaults to the text.npr.org homepage).
  2. Set the maximum number of articles to extract.
  3. Run the actor to get structured article data.

The scraper starts from the index page, discovers article links, then visits each article page to extract content and metadata.

Input Parameters

ParameterTypeDescriptionDefault
startUrlsarrayNPR URLs to start scraping from["https://text.npr.org/"]
maxResultsintegerMaximum articles to scrape25

Output Data

Each article in the dataset includes:

  • title - Article headline
  • url - Full URL to the article
  • summary - First paragraphs of the article
  • date - Publication date
  • topic - Article topic or category
  • scrapedAt - Timestamp of the scrape

Cost of Usage

Extremely lightweight and affordable:

  • Per result: $0.01
  • Per 1,000 results: $10
  • Actor start cost: $0.005

The text.npr.org version produces very small page sizes, making this one of the most efficient news scrapers.

Tips and Best Practices

  • The text.npr.org site is a lightweight HTML-only version, perfect for reliable scraping.
  • Start from the main page to get the latest headlines across all sections.
  • Schedule daily or hourly runs to build a comprehensive NPR news archive.
  • Combine with sentiment analysis or NLP tools for media research.
  • The summary field captures the first few paragraphs, giving you the article's key points.

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