Bloomberg News Extractor

Extract structured article data from Bloomberg.com. Paste one or more Bloomberg article URLs and the actor returns a clean dataset with headlines, authors, publish dates, full article body text, image URLs, content tags, categories, reading time, and more.

Every article is fully scraped — body text is always included, no extra configuration needed.

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What it extracts

Every article record contains the following fields:

Field	Type	Description
url	string	Canonical Bloomberg article URL
articleId	string	Bloomberg internal SUID identifier
headline	string	Main article headline
seoHeadline	string	SEO-optimised version of the headline
byline	string	Author name as it appears on the article
authorName	string	First credited author full name
authorTwitter	string	Author Twitter handle (without @)
publishedAt	string	ISO 8601 UTC publish timestamp
updatedAt	string	ISO 8601 UTC last-update timestamp
articleSummary	string	Article lede or summary paragraph
bodyText	string	Full plain-text article body
imageUrl	string	Main article image URL
imageCaption	string	Caption for the main image
imageCredit	string	Photographer or agency credit
section	string	Bloomberg section: markets, technology, politics, etc.
categories	string	Comma-separated list of section categories
tags	string	Comma-separated list of content tag names
isPremium	boolean	True if the article requires a Bloomberg subscription
readingTimeMinutes	number	Estimated reading time in minutes
slug	string	URL date-slug (e.g. 2026-05-23/article-title)
scrapedAt	string	ISO 8601 UTC timestamp of when the record was collected
error	string	Error message if the article failed to scrape, null on success

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How to use it

1. Open the actor on Apify

Go to the actor page and click Try for free to open the input editor.

2. Add Bloomberg article URLs

Paste one or more full Bloomberg article URLs into the Start URLs field. Use the full article URL with the /news/articles/ path:

https://www.bloomberg.com/news/articles/2026-05-22/abrego-garcia-wins-dismissal-of-us-human-smuggling-case
https://www.bloomberg.com/news/articles/2026-05-23/india-raises-diesel-gasoline-prices-for-third-time-in-eight-days

Query string parameters like ?srnd=phx-markets are stripped automatically before scraping.

3. Set your limits

• Max articles — cap on total articles processed per run (default: 50, max: 1000)
• Request timeout — per-request timeout in seconds (default: 30)

4. Run and download

Click Start. The actor processes each URL and pushes results to the dataset. Download as JSON, CSV, Excel, or XML from the Storage tab when the run finishes.

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Input reference

{
    "startUrls": [
        "https://www.bloomberg.com/news/articles/2026-05-22/abrego-garcia-wins-dismissal-of-us-human-smuggling-case",
        "https://www.bloomberg.com/news/articles/2026-05-23/india-raises-diesel-gasoline-prices-for-third-time-in-eight-days"
    ],
    "maxArticles": 50,
    "requestTimeoutSecs": 30
}

Field	Required	Default	Description
startUrls	Yes	—	List of Bloomberg article URLs (/news/articles/... paths)
maxArticles	No	50	Maximum articles to process per run (1–1000)
requestTimeoutSecs	No	30	Per-request timeout in seconds (5–120)

URL format

Use the full article URL. The path must contain /news/articles/:

https://www.bloomberg.com/news/articles/YYYY-MM-DD/article-slug

Any query parameters (?srnd=..., ?utm_source=...) are removed automatically.

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Example output record

{
    "url": "https://www.bloomberg.com/news/articles/2026-05-23/india-raises-diesel-gasoline-prices-for-third-time-in-eight-days",
    "articleId": "TFGSTUKK3NYD00",
    "headline": "India Raises Diesel, Gasoline Prices for Third Time in Eight Days",
    "seoHeadline": "India Raises Diesel, Gasoline Prices for Third Time in Eight Days",
    "byline": "Rakesh Sharma",
    "authorName": "Rakesh Sharma",
    "authorTwitter": "journorakesh",
    "publishedAt": "2026-05-23T01:30:56.367Z",
    "updatedAt": "2026-05-23T03:42:27.089Z",
    "articleSummary": "India's state-run refiners raised retail prices again of diesel and gasoline on Saturday to help processors cut losses on discounted sales and to control a spike in demand.",
    "bodyText": "India's state-run refiners raised retail prices again of diesel and gasoline on Saturday...",
    "imageUrl": "https://assets.bwbx.io/images/users/iqjWHBFdfxIU/itJ0yPa0NDcg/v0/-1x-1.webp",
    "imageCaption": "A fuel station in New Delhi.",
    "imageCredit": "Photographer: Anindito Mukherjee/Bloomberg",
    "section": "markets",
    "categories": "markets",
    "tags": "Retail, Government, Taxes, Energy, India",
    "isPremium": false,
    "readingTimeMinutes": 2.5,
    "slug": "2026-05-23/india-raises-diesel-gasoline-prices-for-third-time-in-eight-days",
    "scrapedAt": "2026-05-23T05:12:00.000Z",
    "error": null
}

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Notes on premium articles

The isPremium field is true for subscriber-only articles. Metadata fields — headline, author, publish date, summary, image URL, tags — are always collected regardless of subscription status. Full body text on paywalled articles may be truncated; the isPremium flag lets you identify and filter these records downstream.

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Output formats

The dataset can be downloaded from Apify in several formats:

Format	Best for
JSON	Database ingestion, APIs, Python/Node scripts
CSV	Excel, Google Sheets, pandas DataFrames
JSONL	Streaming pipelines, BigQuery, S3
XML	Legacy system integrations

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Use cases

Financial research — bulk-scrape Bloomberg articles on a specific market sector and run sentiment analysis or topic modeling across the corpus.

News monitoring — paste a fresh set of article URLs daily and track how Bloomberg covers specific companies, geopolitical events, or industries over time.

Competitive intelligence — collect article metadata at scale and filter by tags, section, or authorName to understand Bloomberg's editorial focus on a topic.

Data journalism — pull authorship and publication patterns across hundreds of articles for investigative or academic research.

News aggregation pipelines — feed clean structured Bloomberg data into internal dashboards, Slack alerts, or downstream NLP systems.

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How to get Bloomberg article URLs

Bloomberg article URLs follow this pattern:

https://www.bloomberg.com/news/articles/YYYY-MM-DD/article-slug

Ways to collect them:

• Browse any Bloomberg section (Markets, Technology, Politics, etc.) and copy article links from the page
• Use Bloomberg's own search at bloomberg.com/search to find articles by keyword, then copy the URLs
• Monitor Bloomberg's RSS feeds or Twitter/X account for article links
• Use another actor or script to collect article URLs from Bloomberg section pages and pass them as input here

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Performance tips

• Increase requestTimeoutSecs to 60 if you see timeout errors on slow article pages.
• Use maxArticles to cap scope during test runs before processing a large batch.
• For batches over 200 articles, consider splitting into multiple runs of 100–200 each.

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Scheduling

Use Apify's built-in Schedules feature to run this actor on a recurring basis:

1. Go to Schedules in your Apify account
2. Click Create new schedule
3. Select this actor and configure your article URL list
4. Choose a cron expression, e.g. 0 8 * * * for daily at 8am UTC
5. Results accumulate in the dataset automatically with each run

This works well for monitoring a fixed list of Bloomberg articles for updates — the updatedAt field tells you when Bloomberg last edited each piece.

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Error handling

Each article is processed independently. If one URL fails (network error, page not found, parse failure), the actor logs the error and continues to the next URL. Failed records appear in the dataset with error set to a message string and all other fields set to null. The run does not stop on individual article failures.