Reuters’ Text Archive provides the full corpus of English articles that have been published. This will include breaking news in the financial and general news space as well as global coverage in politics, sports, entertainment, and technology. This comprehensive corpus of content makes this dataset ideal for any natural language processing (NLP) algorithms or ML applications
For over 160 years, Reuters has built a legacy as a trusted source of accurate, bias-free information, and the quality of our news data reflects this. With sophisticated metadata found in over 45 million pieces of fully-licensable news content, Reuters material is an indispensable source of training data, whatever your project. We provide broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports, entertainment, technology, and much more. Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping.
Our news data is professionally produced and fully-licensed, allowing you to reach insights with greater speed and effectiveness:
Rights: Reuters has the proprietary rights to our data corpus and visual assets
Trust & Accuracy: Over 2000 media companies rely on Reuters news to make editorial and business decisions every day. Guided by Reuters Trust principles, our news preserves integrity, independence and freedom from bias
Diversity: Broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports,
entertainment, technology, and much more
Metadata: Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping
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This listing uses a single free pricing dimension, so there are no tiers, instance sizes, or paid add-ons to compare. You get access under one flat option with no cost. The dimension covers text archive content spanning global news, business, entertainment, and sports events. Since only one option exists, pricing does not scale with usage or quantity. To arrange broader or ongoing content needs beyond this free access, you contact the vendor's sales team.
Top-of-mind questions for buyers
What content does this free archive dimension actually give me access to?
You get text archive content covering global news, business, entertainment, and sports events. The stories are rights-cleared for editorial use and available for download. The archive spans decades of coverage, so you can search past events to add context to your own reporting.
Does my cost change based on how much content I download or how many users access it?
No. This listing uses one free dimension with no usage-based or quantity-based charges. Cost does not scale with the number of downloads, searches, or users. There are no tiers or thresholds that trigger a change. For broader or ongoing needs beyond this free access, you contact the vendor's sales team.
How do I receive or integrate the archive content into my systems?
The vendor offers several delivery methods, including an API built for faster retrieval, a downloader application that sends content to your servers, direct push to your systems, and RSS feeds. These methods connect the content into common content management systems and workflows.
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Reuters’ Automotive Package provides automobile-related articles that Reuters has published. This will include news about automobile manufacturers (cars, light trucks, and motorcycles) as well as related vehicle parts. These articles make this dataset ideal for any natural language processing (NLP) algorithms or ML applications specializing in this space.
Reuters’ Mandarin Chinese Document Alignment Package provides paired news stories in English and the translated Mandarin Chinese equivalent story that Reuters published. The content itself is primarily related to financial and general news stories. These pre-aligned documents make this dataset ideal for any machine learning translation model.
Reuters’ Energy Package provides energy-related articles that Reuters has published. This will include news about the production and consumption of physical energy products (coal, gas, oil, renewable energy, emissions) and manufacturers of energy-related equipment. These articles make this dataset ideal for any natural language processing (NLP) algorithms or ML applications specializing in this space.
Reuters’ Pharmaceutical Package provides pharmaceutical-related text articles that Reuters has published. This will include news about pharmaceutical manufacturers (generic and specialty drugs), researchers and developers of new drugs, as well as medical products and procedures. These articles make this dataset ideal for any natural language processing (NLP) algorithms or ML applications specializing in this space.