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Reuters Article Scraper

Pricing

Pay per usage

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Reuters Article Scraper

Reuters Article Scraper

Pricing

Pay per usage

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0.0

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Developer

Donny Nguyen

Donny Nguyen

Maintained by Community

Actor stats

0

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2

Total users

1

Monthly active users

3 days ago

Last modified

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Scrape Reuters.com news articles across multiple sections. Extract structured data including headlines, bylines, published dates, full article body, categories, tags, and related articles for financial and world news intelligence.

Overview

This actor crawls Reuters news sections and extracts comprehensive article data. It supports sections like markets, technology, world, business, sustainability, and legal. The scraper discovers article links from section listing pages and then navigates to individual articles for full content extraction using JSON-LD structured data when available.

Features

  • Scrape articles from any Reuters news section (markets, technology, world, business, etc.)
  • Extract full article body text with structured paragraphs
  • Capture bylines and precise publication timestamps
  • Parse article tags and keywords for content classification
  • Identify related articles linked within each piece
  • Leverage JSON-LD structured data for accurate metadata extraction
  • Works with empty input using sensible defaults

Input Configuration

FieldTypeDescriptionDefault
sectionsArrayReuters sections to scrape["markets", "technology", "world"]
maxResultsIntegerMaximum number of articles to extract100

Available sections include: markets, technology, world, business, sustainability, legal, breakingviews, science.

Output Data

Each scraped article includes the following fields:

  • headline - Article headline text
  • byline - Author name or byline
  • publishedDate - ISO 8601 publication timestamp
  • articleBody - Full article text (up to 10,000 characters)
  • category - News section/category
  • tags - Array of article tags and keywords
  • relatedArticles - Array of related story links
  • url - Original article URL
  • scrapedAt - Timestamp of data extraction

Use Cases

This scraper is ideal for financial news monitoring, market intelligence, media analysis, academic research, and content aggregation. Financial analysts, journalists, and data teams use this tool to track breaking news, market movements, and industry trends across global news coverage.

API Integration

You can call this actor via the Apify API to integrate Reuters data into your dashboards, trading signals, or research pipelines. Results are available in JSON, CSV, XML, and other formats via the dataset API endpoint.

Cost Estimation

With pay-per-event pricing at $0.75 per 1,000 results, scraping 100 Reuters articles costs approximately $0.075. The actor uses minimal compute with 256MB minimum memory allocation suitable for Cheerio-based crawling.