Bloomberg News Link Extractor is a tool that extracts all article links from a given Bloomberg section page (e.g., https://www.bloomberg.com/economics). Users provide the section URL as input, and the tool returns all news article links found on that page.

Features

Accepts any Bloomberg section URL as input
Extracts all unique article links from the provided page for yesterday, today, and tomorrow (based on article date in URL)
Uses proxy configuration (RESIDENTIAL, US) for reliable and anonymous scraping
Uses random user agents for each request
Outputs results in structured JSON format
Designed for use as an Apify Actor

Input

The input should be a JSON object with the following field:

start_urls (array, required): An array of objects, each containing a url field with the Bloomberg section page to scrape.
Example:

{
  "start_urls": [
    { "url": "https://www.bloomberg.com/economics" }
  ]
}

Output

The actor outputs a dataset containing the following structure:

{
  "result": [
    {
      "links": [
        "/news/articles/2025-05-12/example-article-1",
        "/news/articles/2025-05-12/example-article-2"
      ],
      "url": "https://www.bloomberg.com/economics"
    }
  ]
}

links: Array of unique article URLs (relative paths) for yesterday, today, and tomorrow.
url: The original section URL that was scraped.

Usage

Run the actor on the Apify platform.
Wait for the extraction to complete.
Access the extracted data in the "Dataset" tab.

Use Cases

Aggregating the latest news articles from specific Bloomberg sections
Building news monitoring or alerting systems
Collecting article URLs for further content scraping or analysis

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