Bloomberg Articles Details Scraper
Pricing
from $3.00 / 1,000 results
Bloomberg Articles Details Scraper
Scrape in-depth Bloomberg article data including headlines, body text, author info, publish dates, tags, and 70+ structured fields. Perfect for financial analysts, researchers, and news aggregators building comprehensive market intelligence datasets.
Pricing
from $3.00 / 1,000 results
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0.0
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Stealth mode
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2
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1
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10 days ago
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Bloomberg Articles Scraper: Extract Financial News Data at Scale
What Is Bloomberg.com?
Bloomberg.com is a premier financial news platform delivering real-time market coverage, investigative journalism, and economic analysis to millions of professionals and investors worldwide. With thousands of articles published daily across markets, politics, technology, and business, manually tracking and extracting article data becomes impractical at scale. The Bloomberg Articles Scraper automates this process, capturing comprehensive article metadata and content in structured, machine-readable format.
Overview
The Bloomberg Articles Details Scraper extracts full article data from Bloomberg.com article pages, converting rich web content into clean, structured records. It is designed for:
- Financial researchers building historical news databases or market sentiment datasets
- Content aggregators feeding Bloomberg stories into custom news platforms
- Market analysts tracking coverage of specific companies or market events
- Academic institutions studying financial journalism and market reporting
- AI/ML practitioners training models on financial news and sentiment data
Key strengths include resilient error handling via ignore_url_failures, configurable retry logic per URL, and detailed output spanning content, metadata, SEO, and social fields.
Input Format
The scraper accepts a JSON configuration object with the following structure:
{"urls": ["https://www.bloomberg.com/news/articles/2026-04-15/trump-says-end-to-iran-war-in-sight-spurring-market-rally"],"ignore_url_failures": false,"max_retries_per_url": 2,"proxy": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "US"}}
| Parameter | Type | Description |
|---|---|---|
urls | Array | Direct links to Bloomberg article detail pages. Each URL should point to a specific news article, not a homepage or search results page. |
ignore_url_failures | Boolean | If true, the scraper skips failed URLs and continues processing remaining links. If false (default), a single failure stops the entire run. |
max_retries_per_url | Integer | Number of retry attempts per URL if the first request fails (recommended: 2–3). |
proxy.useApifyProxy | Boolean | Whether to route requests through Apify's proxy service to avoid IP blocking. Recommended: true for large runs. |
proxy.apifyProxyGroups | Array | Proxy type — use ["RESIDENTIAL"] for residential IPs to appear as regular users, or ["DATACENTER"] for faster but more detectable scraping. |
proxy.apifyProxyCountry | String | Country code (e.g., US, GB, DE) — choose a region matching your target articles or Bloomberg's server locations. |
Tip: For stability, enable proxy and set
ignore_url_failures: trueif scraping more than 10 URLs.
Output Format
Sample output
{"abstract": [],"archived": false,"ai_summary": {"text": ["The US and Iran are working toward extending a ceasefire and restarting negotiations about a longer-term peace deal, with mediators pushing for a compromise on outstanding issues.","Tension remains high over the Strait of Hormuz, a critical waterway for global energy supplies, with the US setting up a naval blockade to cut off Iranian oil shipments and Iran keeping the strait closed off to other vessels.","Iran's Foreign Ministry said a delegation from Pakistan would visit Tehran to continue mediating the exchange of messages between the two sides, as oil prices remain elevated and US stocks are near a record high due to optimism around a potential peace deal."],"applied_at": "2026-04-15T14:40:25.679Z","__typename": "AISummary"},"ad_targeting": {"page": "article","__typename": "AdTargeting","context_topics": "emerging-markets,greener-living,energy-industry,commodities-markets,terror,terrorism,futures-markets,commodity-futures,war,crude-oil","context_region": "Middleeast","context_country": "IR,IL","context_people": "1252249","context_classification": "politics,markets,energy","context_commodity": "CL1:COM","context_organization": "international-energy-agency","context_city": "tehran","context_tickers": "125749Z:US","context_tag_types": "Topic","ad_code": "bloomberg/politics/article","suid": "TDIRL3KGIFPJ00","current_resource": "Story|TDIRL3KGIFPJ00","ni": "ASIA,BUSINESS,CMD,EQUITYKEY,GLOBALMACR,MARKETS,NRG,NRGKEY,NRGMARKET,OIL,OILMARKET,POL,RATESKEY,TRN,UTI","tagr": "","kwl": 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Future","Israel","International Energy Agency","Tehran","ASSOCIATED PRESS/THE","Pakistan","Exports"],"opinion_article_type": null,"moved": false,"nicodes": [ ],"pillar": null,"premium": false,"published_at": "2026-04-15T07:21:51.961Z","reading_url": null,"reading_duration": null,"record": null,"resource_type": "Story","revision": "TDJCZUKK3NYE","social_description": "The US and Iran are working toward extending a ceasefire and restarting negotiations about a longer-term peace deal, even as a standoff intensifies over the Strait of Hormuz.","social_headline": "US, Iran Seek Further Talks as Hormuz Standoff Intensifies","social_image_url": "https://assets.bwbx.io/images/users/iqjWHBFdfxIU/ihFdZW1HazXc/v1/1200x800.jpg","social_status": "US President Donald Trump indicated he may be preparing to wind down the war with Iran, boosting market optimism.","secondary_brands": ["world","politics","markets"],"seo_canonical": 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A previous version of this story was corrected to change attribution of an Iranian statement.)","type": "article","twitter_social_headline": "US President Donald Trump indicated he may be preparing to wind down the war with Iran, boosting market optimism","twitter_title": "US, Iran Seek Further Talks as Hormuz Standoff Intensifies","twitter_description": "The US and Iran are working toward extending a ceasefire and restarting negotiations about a longer-term peace deal, even as a standoff intensifies over the Strait of Hormuz.","updated_at": "2026-04-15T14:40:17.651Z","url": "https://www.bloomberg.com/news/articles/2026-04-15/trump-says-end-to-iran-war-in-sight-spurring-market-rally","video_attachments": {"453945178": {"autoplay": false,"aspect_ratio": "16:9","bmmr_id": "f3ce469e-0f6e-4b79-b495-4e83632ee5a1","caption": null,"credit": null,"duration": 54360,"id": "f3ce469e-0f6e-4b79-b495-4e83632ee5a1","preroll_ad_unit": "vod","streams": [{"url": "https://www.bloomberg.com/media-manifest/videos/android/WiFi/f3ce469e-0f6e-4b79-b495-4e83632ee5a1.m3u8?idType=BMMP","type": "application/x-mpegURL","format": "TS","__typename": "VideoStream"}],"thumbnail": {"alt": null,"id": "453945445","caption": null,"credit": null,"height": 1080,"orig_height": 1080,"orig_width": 1920,"size": null,"title": "","type": "image","themes": null,"url": "https://assets.bwbx.io/images/users/iqjWHBFdfxIU/i0yBG5LARzeU/v3/-1x-1.jpg","width": 1920},"title": "US and Iran Seek to Extend Ceasefire","transcript": null,"type": "video","url": "https://www.bloomberg.com/news/articles/2026-04-15/trump-says-end-to-iran-war-in-sight-spurring-market-rally"}},"tags": [{"name": "War","__typename": "Tag"},{"name": "Exports","__typename": "Tag"},{"name": "Nuclear Weapons","__typename": "Tag"},{"name": "Military","__typename": "Tag"},{"name": "Imports","__typename": "Tag"},{"name": "Stocks","__typename": "Tag"},{"name": "Nuclear Energy","__typename": "Tag"},{"name": "Travel and Food","__typename": "Tag"},{"name": "Infrastructure","__typename": "Tag"},{"name": "Inflation","__typename": "Tag"},{"name": "Greener Living","__typename": "Tag"},{"name": "ESG Concerns","__typename": "Tag"},{"name": "Energy Industry","__typename": "Tag"},{"name": "Megacity","__typename": "Tag"},{"name": "Futures Markets","__typename": "Tag"},{"name": "Lifestyle","__typename": "Tag"},{"name": "Commodity Futures","__typename": "Tag"},{"name": "Global Trade","__typename": "Tag"},{"name": "Emerging Markets","__typename": "Tag"},{"name": "terror","__typename": "Tag"},{"name": "Commodities Markets","__typename": "Tag"},{"name": "crude-oil","__typename": "Tag"},{"name": "ESG","__typename": "Tag"},{"name": "Emerging Markets Economics","__typename": "Tag"},{"name": "Terrorism","__typename": "Tag"}],"translation_language": null,"translation_errors": null}
Each scraped article returns a comprehensive record with 70+ fields organized into logical categories:
Core Content Fields
| Field | Meaning |
|---|---|
headline | Main article headline as displayed on the page |
byline | Author byline or attribution line |
authors | Array of author objects with names and links |
body | Full article text in HTML format |
lede | Opening paragraph or summary sentence |
abstract | Brief summary or synopsis of the article |
summary_text | Plain-text version of the summary |
summary_html | HTML-formatted summary |
ai_summary | AI-generated concise summary of key points |
Article Metadata & Identity
| Field | Meaning |
|---|---|
id | Unique Bloomberg article identifier |
url | Canonical article URL |
slug | URL-friendly article slug |
reading_url | Direct reading page URL |
type | Article type (e.g., "news", "opinion", "analysis") |
published_at | Publication timestamp (ISO 8601 format) |
updated_at | Last update timestamp |
reading_duration | Estimated read time in minutes |
checksum | Hash for detecting content changes |
revision | Article revision number |
Images & Media
| Field | Meaning |
|---|---|
lede_image_url | URL of the lead/hero image |
image_attachments | Array of all images embedded in the article with captions and credits |
video_attachments | Array of embedded video links and metadata |
audios | Audio files or podcast clips associated with the article |
social_image_url | Optimized image for social media sharing |
SEO & Social Media Fields
| Field | Meaning |
|---|---|
seo_title | SEO-optimized title tag (usually different from headline) |
seo_headline | SEO headline variant |
seo_description | Meta description for search engines |
seo_canonical | Canonical URL to avoid duplicate content issues |
social_headline | Headline optimized for social media sharing |
social_description | Description optimized for social feeds |
twitter_title | Twitter-specific headline |
twitter_description | Twitter-specific description |
twitter_social_headline | Twitter headline variant |
facebook | Facebook sharing metadata |
Editorial & Categorization
| Field | Meaning |
|---|---|
categories | Primary content categories (e.g., Markets, Politics, Tech) |
pillar | Content pillar or section (e.g., "Markets", "Economics") |
tags | Relevant topic tags |
most_relevant_tags | Machine-ranked most important tags |
content_tags | Structured content classification tags |
terminal_tickers | Bloomberg Terminal stock tickers mentioned in the article |
blens_securities | Security identifiers and financial instruments referenced |
Financial & Market Data
| Field | Meaning |
|---|---|
terminal_tickers | Stock tickers (e.g., AAPL, TSLA) mentioned or analyzed |
nicodes | Industry classification codes |
ad_targeting | Audience segments for ad placement |
Editorial Status & Administration
| Field | Meaning |
|---|---|
archived | Whether the article is archived or removed from active feeds |
corrected | If true, the article has been corrected since publication |
premium | Whether the article requires a Bloomberg subscription |
disclaimer | Legal disclaimers or disclosure statements |
disable_ads | Whether ads are disabled for this article |
moved | If article URL changed, indicates redirect status |
is_trending | Boolean flag if the article is trending |
is_page_tracked | Whether Bloomberg analytics track page views |
Technical & Localization
| Field | Meaning |
|---|---|
language | Primary article language (e.g., "en") |
locale | Locale setting (e.g., "en_US") |
translation_language | Language if article is translated |
translation_errors | Any errors encountered during translation |
authored_region | Geographic region where the article originated |
Additional Metadata
| Field | Meaning |
|---|---|
site | Publishing site (e.g., "bloomberg") |
sites | Array of all sites publishing this content |
brand | Primary brand publishing the article |
secondary_brands | Co-branded or syndicated publications |
cobrand | Co-branding information |
franchise | Content franchise or series name |
collections | Editorial collections the article belongs to |
storythreads | Related story threads or series |
magazine_issue | If part of a Bloomberg magazine, issue number |
resource_type | Content resource classification |
metadata | Additional custom metadata object |
footer | Article footer text or section |
footnotes | Endnotes or references |
hed_and_dek_position | Position of headline and subheading |
label | Content label or badge |
trashline | Internal archive or disposition info |
record | Internal record identifier |
assistance | Editorial assistance or review notes |
attributor | Attribution or credit source |
opinion_article_type | If opinion piece, the opinion category |
How to Use
- Find article URLs — Navigate to Bloomberg.com and open individual article pages. Copy the full URL from the address bar.
- Prepare your URL list — Paste article URLs into the
urlsarray, one per entry. - Configure settings — Set
ignore_url_failures: truefor batch runs; adjustmax_retries_per_url(typically 2–3). - Enable proxy — Recommended for large scrapes to avoid rate limiting or blocking.
- Run the scraper — Start the actor and monitor progress in the run log.
- Export data — Download results as JSON, CSV, or Excel for analysis in your BI tool or database.
Tips:
- Bloomberg may block aggressive scraping; use residential proxy and add delays between requests.
- Article URLs typically follow the pattern:
https://www.bloomberg.com/news/articles/YYYY-MM-DD/article-slug - The
terminal_tickersfield is valuable for linking articles to market events.
Use Cases & Business Value
- Market research platforms — Feed Bloomberg articles into proprietary intelligence systems with market-moving story detection
- Financial content aggregators — Build custom news feeds combining Bloomberg with other sources
- Sentiment analysis — Extract article text for NLP models training on financial news sentiment and market correlation
- Academic research — Study financial journalism, media coverage bias, or market responsiveness to news
- Investment due diligence — Track press coverage of acquisition targets or portfolio companies
- AI training datasets — Create labeled datasets for training financial AI models
The scraper's 70+ fields enable rich analysis, machine learning workflows, and integration with enterprise data platforms.
Conclusion
The Bloomberg Articles Scraper provides comprehensive, structured access to Bloomberg's news content at scale. With detailed metadata, SEO fields, financial tickers, and media attachments, it eliminates hours of manual data collection and enables advanced analytics, AI training, and content syndication workflows.
Legal & compliance note: Ensure your use of scraped data complies with Bloomberg.com's Terms of Service and applicable copyright and data protection regulations. Respect rate limits and use proxy services responsibly.