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News Data

News data is information that is collected using web scraping tools from a large number of news sources and outlets from across the internet. It is used by businesses and investors for news sentiment analytics so that they can respond to important global events in real-time.

Top News Data APIs, Datasets, and Databases

Find the top commercial News Data sets, feeds and streams.

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Wult News Data

by Wult.io
Overview Wult's powerful data engine can provide news as it is published or can provide more structure insights into what is going on in the world. More detail Wult can qualify or deliv...
Pricing available upon request
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Accern Public News & Blogs Data

by Accern
The Public News & Blogs dataset utilizes data harvested from over a billion websites scraped in real-time to derive 60+ metrics per signal extracted. Accern scrapes public news/blog websites that p...
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Barchart News API

by Barchart
Access news from a wide variety of news sources including Associated Press, Canadian Press, PR Newswire, Business Wire, and Dow Jones - get Barchart's proprietary news content via API. Subscribe...
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Nikkei News and Articles

by Nikkei Market Data
The Nikkei is Japan's leading business daily, providing the latest news coverage.
Volume40 years history, 3K stock coverage
Country
Japan
History40 years of past data available
Use CaseStock Market Predictions, Natural Language Processing (NLP) + 2 more
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Dow Jones Newswires

by Accern
Accern’s Dow Jones dataset utilizes data harvested directly from the Dow Jones Global Newswire in real-time to derive 30+ metrics per signal extracted. The metrics derived include but are not limit...
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AI Powered COVID-19 Insights & Analytics

by Accern
The dataset measures company, sector, and regional exposures to COVID-19 as seen in digital media content such as news & blogs. This can be used to understand the market perception of a company’s e...
Country
USA
History5 months of past data available
Use CaseFinancial Services, Supply Chain Monitoring
Available Pricing:
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Transcriptions of All Popular Podcasts

by Picasso
Transcriptions of the episodes of the most popular ~5k podcasts, updated weekly. Note - depending on your preference, we can provide transcriptions for a smaller number of shows, or for a speci...
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AI Powered Credit Insights & Analytics

by Accern
Accern generates credit signals based on over a billion public news and social media content for companies, sectors and regions. A credit signal is identified for a company if an article contains m...
Country
USA
History17 months of past data available
Use CaseFinancial Services, Early Warning Signals + 3 more
Available Pricing:
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EDGAR SEC Filings

by Accern
Accern’s SEC 10K dataset extracts theme-based signals for all US companies from the past 15 years of SEC 10K filings. These signals are the only commercially available dataset constructed using nat...
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Top News Data Providers, Vendors, and Companies

Find the top News Data aggregators, suppliers, and firms.

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Based in United States of America

Accern accelerates AI workflows for enterprises with a no-code development platform. The best data teams from the world's leading organizations, such as Allianz, IBM, and Jefferies, are using Accer...

Based in United States of America

The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated conflict analysis and crisis mapping project. ACLED is the highest quality, most widely used, realtime data and analysis ...

Based in United Kingdom

Newsful is a data provider offering Stock Market Data, News Data, and Alternative Data. They are headquartered in United Kingdom.

Based in United States of America

Dow Jones Factiva is a data provider offering Share Market Data, Venture Capital Data, Business Listings Data, Identity Graph Data, News Data, Research Data, and Consumer Identity Data. They are he...

Based in United States of America

MT Newswires is a data provider offering Stock Market Data and News Data. They are headquartered in United States of America.

Based in United States of America

News Quantified is a data provider offering Stock Market Data and News Data. They are headquartered in United States of America.

Based in Japan

Nikkei has a proven track record of providing economic data to corporate customers such as financial institutions and government agencies for 50 years, and guarantees high reliability.

Based in Spain

RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content....

Based in United States of America

Founded in 1985, Institutional Shareholder Services (“ISS”) empowers investors and companies by providing high-quality data, analytics, and insight. With nearly 2,000 employees, ISS is the world’s ...

Based in Israel

Webhose.io provides on-demand access to structured web data that anyone can consume. We empower you to build, launch, and scale big data operations - whether you’re a budding entrepreneur working...

The Ultimate Guide to News Data 2020

Learn everything about News Data. Understand data sources, popular use cases, and data quality.

What is News Data?

News data is a sub-category of web data. It is information derived from various sources all over the internet to be used in analysis. News data is often used to create strategies especially in trading, but can also be used in advertising, trends modelling and market analysis. News data is derived from web texts, after which it is analyzed through the use of tools such as machine learning (ML) and natural language processing (NLP), as well as other analyzing tools to calculate news sentiment.

How is News Data collected?

News data is collected from and by a variety of sources on the internet. News data is collected in raw form as web metrics, newsletter subscriptions, and advertising impressions. Such data is collected through the means of surveys, questionnaires, opinions and interviews. It may also be collected through insights from web analytics or digital footprints and web activity. News data is collected, recorded and analyzed. Market research and opinions from experts, traders, firms, as well as regulatory bodies all contribute to the process of news data collection. After this, the data is then disseminated, ready to use in making decisions and strategy planning.

What are the attributes of News Data?

News data must possess certain attributes before it is considered verified, accurate and trustworthy. Primarily, there are a few factors to be considered when purchasing news data.
Qualitative nature: qualitative attributes refer to certain qualities or characteristics such as nominal values, dealing with names and symbols. It must also have binary attributes, as well as be ordinal.
Quantitative nature: this concerns the numeric values in news.
These attributes are what should be consistently present in any news dataset. The absence of any could render the dataset incomplete and therefore of no use. Any decisions based on the data would be misinformed.

What is News Data used for?

News data is primarily useful for the valuation of stock prices and property. Information from the general real estate market and stock exchanges helps to determine the value of properties and finanical assets. Undervalued properties and stocks are noticed, overpriced properties are regulated, and competitive valuation is facilitated by news data. In a nutshell, price determination of properties in real estate and stocks in the financial market is facilitated by news data. Real estate and stock market investors use news data to stay ahead of their competition. In a wider sense, news data is used to make decisions and assessments across industries and verticals.

How can a user assess the quality of News Data?

News data is just like any other data - it’s only useful if it’s high-quality. To determine the quality of news data and for a news dataset to be considered of high quality, then it must pass certain tests.
First of all, news data must be reliable. It must come from reliable sources that can be trusted. This means buying from data providers which have good reviews and solid customer testimonials. News data must also be precise, and must not contain any errors whatsoever. News data also has to operate on the basis of timeliness, as newsworthy events are always occurring, and decisions need to be made quickly so that investment opportunities are not missed.

Categories Related to News Data

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Popular News Data Use Cases

Find out the most common applications of News Data.