CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

US Economic news articles with tone and relevance

The dataset consists of approximately 8000 news articles, which were tagged as relevant or not relevant to the US Economy.

Explore the intricate dance between gold prices and key economic events across major global players – Canada, Japan, USA, Russia, European Union, and China. This comprehensive dataset spans from January 2019 to December 2023, offering a nuanced analysis of how economic news from these influential regions impacts the ever-volatile gold market. Delve into the ebb and flow of financial landscapes, uncovering trends, correlations, and invaluable insights for strategic decision-making in the dynamic world of investments.

Historical Gold Price Dataset:

• Day: The day of the week when the data was recorded.
• Date: The specific date corresponding to the recorded gold price.
• Hour: The time of day when the gold price was recorded.
• Country: The country associated with the economic event or news affecting gold prices.
• Event: The economic event or news that potentially influenced gold prices.
• Actual: The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

** Economic Calendar Dataset**:

• Day: The day of the week when the economic event is scheduled.
• Date: The specific date when the economic event is expected to occur.
• Hour: The time of day when the economic event is scheduled.
• Country: The country associated with the economic event.
• Event: The specific economic event or news scheduled to take place.
• Actual The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

Explore the "Bloomberg Quint News Dataset," a comprehensive collection of news articles from Bloomberg Quint, a leading source of financial, business, and economic news in India and around the world.

This dataset includes thousands of articles covering a wide range of topics, such as financial markets, economic policies, corporate news, technology, politics, and more. Each article in the dataset comes with detailed information, including headlines, publication dates, authors, article content, and categories, offering valuable insights for researchers, data analysts, and media professionals.

Key Features:

• Extensive Coverage: Thousands of news articles from Bloomberg Quint, covering diverse topics including business, finance, economics, technology, and global news.
• Detailed Metadata: Each article includes key details such as headline, publication date, author, content, and category, making it ideal for in-depth research and analysis.
• Ideal for Analysis: Perfect for researchers, data scientists, and content strategists looking to analyze trends in news reporting, study media coverage, or develop content strategies.
• Rich Source of Information: Provides up-to-date information on financial markets, economic policies, and global events, helping professionals stay informed and make data-driven decisions.

Whether you're researching financial trends, analyzing media coverage, or developing new content, the "Bloomberg Quint News Dataset" is an invaluable resource that offers detailed insights and extensive coverage of the latest news.

Enhancing Financial Market Predictions: Causality-Driven Feature Selection FinSen dataset that revolutionizes financial market analysis by integrating economic and financial news articles from 197 countries with stock market data. The dataset’s extensive coverage spans 15 years from 2007 to 2023 with temporal information, offering a rich, global perspective 160,000 records on financial market news. Our study leverages causally validated sentiment scores and LSTM models to enhance market forecast accuracy and reliability.

About this Dataset

Techcrunch news dataset in csv format.

Category

Economic

Keywords

news dataset,news data

Row Count

5246

Price

$67.00

Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

Dataset Features

Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

Popular Use Cases

Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

We have successfully extracted a comprehensive news dataset from CNBC, covering not only financial updates but also an extensive range of news categories relevant to diverse audiences in Europe, the US, and the UK. This dataset includes over 500,000 records, meticulously structured in JSON format for seamless integration and analysis.

Diverse News Segments for In-Depth Analysis

This extensive extraction spans multiple segments, such as:

• Business and Market Analysis: Stay updated on major companies, mergers, and acquisitions.
• Technology and Innovation: Explore developments in AI, cybersecurity, and digital transformation.
• Economic Forecasts: Access insights into GDP, employment rates, inflation, and other economic indicators.
• Geopolitical Developments: Understand the impact of political events and global trade dynamics on markets.
• Personal Finance: Learn about saving strategies, investment tips, and real estate trends.

Each record in the dataset is enriched with metadata tags, enabling precise filtering by region, sector, topic, and publication date.

Why Choose This Dataset?

The comprehensive news dataset provides real-time insights into global developments, corporate strategies, leadership changes, and sector-specific trends. Designed for media analysts, research firms, and businesses, it empowers users to perform:

• Trend Analysis
• Sentiment Analysis
• Predictive Modeling

Additionally, the JSON format ensures easy integration with analytics platforms for advanced processing.

Access More News Datasets

Looking for a rich repository of structured news data? Visit our news dataset collection to explore additional offerings tailored to your analysis needs.

Sample Dataset Available

To get a preview, check out the CSV sample of the CNBC economy articles dataset.

yjernite/news-economy-coverage dataset hosted on Hugging Face and contributed by the HF Datasets community

Gallup's Economic Confidence Index is based on the combined responses to two questions, the first asking Americans to rate economic conditions in this country today, and second, whether they think economic conditions in the country as a whole are getting better or getting worse. Results are based on telephone interviews with approximately 3,500 national adults; margin of error is ±2 percentage points.

yjernite/news-economy-embed-Qwen06B-2048 dataset hosted on Hugging Face and contributed by the HF Datasets community

That the economy influences support for the government is a cornerstone of electoral research, but how this comes about is less understood. Largely due to limited availability of economic news data, research has not been able to estimate how much of the economy's effect on the vote is direct and how much is driven by media coverage of the economy. New data and automated text analysis make possible the first media-oriented mediation analysis of the economic vote. Using three million news articles from 15 developed countries, we demonstrate that about 30\% of the effect of growth is mediated through news sentiment. In contrast, the effect of unemployment on elections is direct. Deviations of economic reporting from the actual economy correlate with election outcomes, though not as much as is sometimes presumed, as we detail in two examples.

Treasury media release 2010

Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au

Agency

• Treasury

Techsalerator's News Events Data for Sweden: A Comprehensive Overview

Techsalerator's News Events Data for Sweden offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Sweden, drawing from a diverse range of media sources, including news outlets, online publications, and social platforms. It provides essential insights for tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event, crucial for monitoring trends over time or for businesses responding to market shifts. - Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information, indicating where the event took place within Sweden, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Sweden - Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Sweden’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, ice hockey, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Sweden’s growing tech ecosystem, featuring emerging companies and advancements.

Top 5 News Sources in Sweden - SVT: Sweden’s national public TV broadcaster, providing comprehensive coverage of national politics, economy, and social issues. - Dagens Nyheter: A major daily newspaper known for its in-depth analysis and reporting on breaking news, politics, and current affairs. - Aftonbladet: A widely-read newspaper offering insights into local and national politics, economic developments, and societal trends. - Expressen: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - Svenska Dagbladet: A prominent newspaper delivering updates on significant events, public health, and sports across Sweden.

Accessing Techsalerator’s News Events Data for Sweden To access Techsalerator’s News Events Data for Sweden, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Sweden. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

Treasury media release 2010

Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au

Agency

• Treasury

There is substantial evidence that voters’ choices are shaped by assessments of the state of the economy and that these assessments, in turn, are influenced by the news. But how does the economic news track the welfare of different income groups in an era of rising inequality? Whose economy does the news cover? Drawing on a large new dataset of U.S. news content, we demonstrate that the tone of the economic news strongly and disproportionately tracks the fortunes of the richest households, with little sensitivity to income changes among the non-rich. Further, we present evidence that this pro-rich bias emerges not from pro-rich journalistic preferences but, rather, from the interaction of the media’s focus on economic aggregates with structural features of the relationship between economic growth and distribution. The findings yield a novel explanation of distributionally perverse electoral patterns and demonstrate how distributional biases in the economy condition economic accountability.

Graph and download economic data for St. Louis Fed Economic News Index: Real GDP Nowcast (STLENI) from Q2 2013 to Q3 2025 about nowcast, projection, real, GDP, rate, indexes, and USA.

Gallup tracks daily the percentage of Americans who rate economic conditions in the country today as "excellent," "good," "only fair," and "poor." The results are reported here and also included in Gallup's Economic Confidence Index. Daily results are based on telephone interviews with approximately 1,500 national adults; Margin of error is ±3 percentage points.

This data is public data built on the BIGKinds news database operated by the Korea Press Foundation. It analyzes economic news coverage from 104 major newspapers and broadcasters, extracting the 200 most frequently appearing nouns each month and providing rankings and frequency information. This allows for the identification of prominent issues and keywords in economic news over a specific period, and can be utilized for analysis of media coverage trends, exploration of economic agendas, and as a resource for research and education. Furthermore, as media metadata data utilizing big data analysis techniques, it can serve as a valuable reference not only for policy researchers, academics, journalists, but also for the general public.

Techsalerator's News Events Data for Norway: A Comprehensive Overview

Techsalerator's News Events Data for Norway offers a powerful resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Norway, drawing from a wide range of media sources, including news outlets, online publications, and social platforms. It provides valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event. This is crucial for analysts who need to monitor trends over time or for businesses responding to market shifts. - Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information, indicating where the event took place within Norway. This is especially valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Norway - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Norway’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in football, skiing, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Norway’s growing tech ecosystem, featuring emerging companies and advancements.

Top 5 News Sources in Norway - NRK: Norway’s national broadcaster providing comprehensive coverage of politics, economy, and social issues. - Aftenposten: A leading newspaper known for its in-depth reporting on national and international news, politics, and culture. - VG: A widely-read tabloid offering a broad spectrum of news including politics, sports, and entertainment. - Dagbladet: A major newspaper delivering updates on current affairs, politics, and societal trends. - Dagens Næringsliv: A prominent business newspaper focused on economic news, corporate affairs, and market analysis.

Accessing Techsalerator’s News Events Data for Norway To access Techsalerator’s News Events Data for Norway, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Norway. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.