Bloomberg News Scraper — Bloomberg News | Lagic

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Overview

Extracts comprehensive data from individual Bloomberg News articles, including the full text, author, publication dates, AI-generated summaries, and related topics, for market analysis, content research, or media monitoring.

When you need to dig into the specifics of a Bloomberg News article, this tool provides a structured output of almost everything on the page. Instead of manually copying and pasting, you get a clean, organized dataset from a single article URL. ### What Data You Get The output includes core article details such as the `title`, `byline` (author's name), `published` date, and `updatedAt` timestamp. You'll also receive the article's `wordCount`, a concise `summary`, and often an `aiSummary` for quick insights. The full article content is available in `html` format, preserving its original structure, along with `imageURLs`, `caption`, and `credit` for any accompanying visuals. Beyond the visible content, the tool captures valuable metadata like `topics` and `contentTags`, which are excellent for thematic analysis. It also provides `longURL` and `shortURL` for easy referencing. For those monitoring author activity, `followAuthorDetails` can indicate if the author can be followed on the platform. ### Who Benefits and Why This tool is particularly useful for financial analysts, market researchers, content strategists, and media monitoring professionals. Financial analysts can gather specific news pieces to track sentiment around companies or sectors. Market researchers can build datasets of articles on emerging trends. Content teams can analyze Bloomberg's article structure, topics, and summaries for inspiration or competitive analysis. Media agencies can monitor coverage of their clients or industries with precise article details.