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News | Reuters

Reuters

Reuters news dataset providing global reporting, headlines and market context across sectors and regions.

Key facts for Reuters

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1900
Coverage count:
Contributors/Providers - 40,00,000+ Stories Per Year

Delivery metadata

Data Frequency
Continuous
Language
Turkish, Korean, Portuguese, German, Japanese, English, Arabic, French, Chinese, Russian, Italian, Spanish
Delivery methods:
API, Bulk
Data formats:
CSV
Minimum service frequency
Continuous

Overview of Reuters

Global Business Intelligence

  1. Real-time Reuters coverage of global markets, companies and economies
  2. Breaking news, analysis and specialist commentary from worldwide reporters
  3. Coverage of finance, commodities, M&A, regulation, industries and corporate events

Flexible Delivery for Every Workflow

  1. Available via desktop products, APIs, streaming feeds, bulk delivery and archives
  2. Machine-readable metadata supports discovery, filtering and monitoring workflows
  3. Integrates into enterprise platforms, applications and AI-enabled solutions

Authoritative Reporting, Trusted Insight

  1. Stay ahead of market-moving developments and emerging risks
  2. Understand the implications behind breaking business and financial news
  3. Support investment, research and strategic decision-making with trusted analysis

Description of the dataset

• LSEG provides Reuters Polls Consensus content to support analysis of macroeconomic expectations and market sentiment across global economies. We help users access structured consensus views derived from Reuters polling workflows for use in economic research, forecasting and investment decision-making.• Our coverage is aligned to economics data and economic and macro forecast use cases, with series-level metadata supporting interpretation of published and unpublished forecast information. LSEG enables users to understand the nature of each series through descriptive attributes covering contributors, indicators, frequency conversion and source context.• We provide metadata that helps users evaluate adjustments applied to time series, including seasonal adjustment type, trend indicators, rebasing information and linked or rebased series flags. These details support more consistent comparison of economic series across time, geographies and analytical models.• LSEG standardizes supporting fields such as price type, percentage indicators, copyright holder, dataset identifiers and institutional display attributes. This structure helps customers integrate Reuters consensus data into workflows that require transparent economic series definitions and robust reference metadata.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

Machine Readable News Analytics

News analytics provides natural-language-processing-derived scores for sentiment, novelty, relevance, and volume for company and commodity assets mentioned in news stories. News Analytics is delivered real time in JSON format across the LSEG Real-time delivery network.