100+ datasets found
  1. c

    CNBC Economy Dataset - 17K Economy Articles CSV

    • crawlfeeds.com
    csv, zip
    Updated Nov 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Crawl Feeds (2025). CNBC Economy Dataset - 17K Economy Articles CSV [Dataset]. https://crawlfeeds.com/datasets/cnbc-economy-articles-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    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.

  2. d

    Economic Data | Global Economic Indicator Service | 34k macro-economic...

    • datarade.ai
    .csv, .xls, .txt
    Updated Feb 19, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Exchange Data International (2021). Economic Data | Global Economic Indicator Service | 34k macro-economic indicators | updated 24/5 [Dataset]. https://datarade.ai/data-products/economic-indicator-service-exchange-data-international
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 19, 2021
    Dataset authored and provided by
    Exchange Data International
    Area covered
    Cuba, Equatorial Guinea, Nigeria, Malawi, Qatar, Eritrea, Mali, Morocco, Gabon, United States of America
    Description

    The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

    Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

    Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

  3. New Events Data in India

    • kaggle.com
    zip
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in India [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-india
    Explore at:
    zip(4948 bytes)Available download formats
    Dataset updated
    Sep 14, 2024
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    India
    Description

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

    Techsalerator's News Events Data for India provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across India, drawing from a diverse array of media sources, including newspapers, online publications, and social media platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring developments within specific industries.

    Key Data Fields Event Date: Records the exact date of the news event, essential for analyzing trends over time or for businesses responding to market shifts.

    Event Title: A brief headline summarizing the event, allowing users to quickly categorize and assess the relevance of news content to their interests.

    Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the event's reach and influence.

    Location: Provides geographic information on where the event occurred within India, valuable for regional analysis or localized marketing efforts.

    Event Description: Offers a detailed summary of the event, outlining key developments, participants, and potential impact. This information helps researchers and businesses understand the context and implications of the event.

    Top 5 News Categories in India Politics: Covers major news related to government decisions, political movements, elections, and policy changes impacting the national landscape.

    Economy: Focuses on India's economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors.

    Social Issues: Includes news on protests, public health, education, and other societal concerns that drive public discourse.

    Sports: Highlights events in cricket, football, and other popular sports, often drawing significant attention and engagement across the country.

    Technology and Innovation: Reports on tech advancements, startups, and innovations in India's growing tech ecosystem, featuring companies like Tata Consultancy Services and Infosys.

    Top 5 News Sources in India The Times of India: A leading newspaper providing extensive coverage of politics, economy, and social issues.

    The Hindu: A respected publication known for its in-depth reporting on national and international news, politics, and cultural events.

    NDTV: A major news network offering real-time updates on current affairs, sports, and entertainment.

    Hindustan Times: A prominent newspaper covering national politics, business news, and social issues.

    Economic Times: A leading source for business and financial news, focusing on economic developments and corporate activities.

    Accessing Techsalerator’s News Events Data for India To access Techsalerator’s News Events Data for India, 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 a valuable tool for keeping track of significant events in India. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a clear view of the country's news landscape.

  4. Economic and Central Bank News Coverage

    • lseg.com
    Updated Oct 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LSEG (2025). Economic and Central Bank News Coverage [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/financial-news-coverage/economic-news-coverage
    Explore at:
    html,json,pdf,text,user interfaceAvailable download formats
    Dataset updated
    Oct 14, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Get access to expert global economic and central banking news coverage including exclusive polls on 700 annual key economic releases and policy decisions.

  5. Global Climate Events and Economic Impact Dataset

    • kaggle.com
    Updated Sep 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Laksika Tharmalingam (2025). Global Climate Events and Economic Impact Dataset [Dataset]. https://www.kaggle.com/datasets/uom190346a/global-climate-events-and-economic-impact-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2025
    Dataset provided by
    Kaggle
    Authors
    Laksika Tharmalingam
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Global Climate Events and Economic Impact Dataset (2020-2025)

    🌍 Overview

    This comprehensive dataset tracks major climate events worldwide and their economic impact from 2020 to September 2025. With over 3,000 documented events across 51 countries, this dataset provides crucial insights into the increasing frequency and severity of climate-related disasters and their economic consequences.

    📊 Dataset Description

    Key Features:

    • 3,000+ climate events documented with detailed impact metrics
    • 51 countries covered across all continents
    • 12 types of climate events including floods, droughts, hurricanes, wildfires, and more
    • Economic impact data in millions of USD
    • Human impact metrics including affected population, deaths, and injuries
    • Infrastructure damage scores (0-100 scale)
    • International aid data for major disasters
    • Geospatial coordinates for mapping and spatial analysis

    📈 Quick Statistics

    • Total Events: 3,000
    • Countries Covered: 51
    • Total Economic Impact: $5,833 million
    • Total Lives Lost: 13,845
    • Total People Affected: 2,605,651,486
    • Average Event Severity: 3.8/10
    • Most Affected Country: United States
    • Most Common Event Type: Earthquake

    🎯 Potential Use Cases

    1. Climate Risk Assessment - Identify high-risk regions and predict future patterns
    2. Economic Impact Analysis - Calculate losses and analyze insurance requirements
    3. Machine Learning - Build predictive models for severity and impact forecasting
    4. Policy Planning - Inform climate adaptation strategies and resource allocation

    📜 License

    This dataset is released under CC BY-SA 4.0 license.

  6. B

    Replication Data and Code for: Economic activity during extreme events

    • borealisdata.ca
    Updated Nov 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Galbraith (2025). Replication Data and Code for: Economic activity during extreme events [Dataset]. http://doi.org/10.5683/SP3/ICIKPP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 18, 2025
    Dataset provided by
    Borealis
    Authors
    John Galbraith
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The data and program reproduce Figures 1a and 1b from "Economic activity during extreme events," by John Galbraith. Please see the Readme file for additional details.

  7. T

    Economic Policy Uncertainty : News-Based for the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Economic Policy Uncertainty : News-Based for the United States [Dataset]. https://tradingeconomics.com/united-states/economic-policy-uncertainty-index-news-based-index-for-the-united-states-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Economic Policy Uncertainty : News-Based for the United States was 282.42142 Index in October of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 725.03117 in April of 2025 and a record low of 21.94447 in September of 1956. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on November of 2025.

  8. GDP and events in history: how the COVID-19 pandemic shocked the UK economy

    • gov.uk
    • s3.amazonaws.com
    Updated May 24, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2022). GDP and events in history: how the COVID-19 pandemic shocked the UK economy [Dataset]. https://www.gov.uk/government/statistics/gdp-and-events-in-history-how-the-covid-19-pandemic-shocked-the-uk-economy
    Explore at:
    Dataset updated
    May 24, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    United Kingdom
    Description

    Official statistics are produced impartially and free from political influence.

  9. c

    Economic Relevant News from The Guardian

    • ri.conicet.gov.ar
    • datosdeinvestigacion.conicet.gov.ar
    • +1more
    Updated Jul 4, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela (2023). Economic Relevant News from The Guardian [Dataset]. https://ri.conicet.gov.ar/handle/11336/190076
    Explore at:
    Dataset updated
    Jul 4, 2023
    Authors
    Maisonnave, Mariano; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Maguitman, Ana Gabriela
    License

    Attribution-NonCommercial-ShareAlike 2.5 (CC BY-NC-SA 2.5)https://creativecommons.org/licenses/by-nc-sa/2.5/
    License information was derived automatically

    Dataset funded by
    Universidad Nacional del Sur
    Description

    The news: The present dataset consists of 1789 news articles from the British daily newspaper The Guardian extracted using the content endpoint of The Guardian Open Platform. The news articles were, at the time, all the news corresponding to the sections: business, politics, society and world news for the entire month of January of 2013 (for a total of 1689 news) and an extra set of news articles randomly selected from the period Febrary of 2013 to December of 2015 (100 news articles). The first set of 1689 news articles was used for training and the second set of 100 news articles was used for testing in two publications: * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018, November. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018). * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. Inteligencia Artificial, 22(63), pp.61-80. The labels: The entire dataset was manually classified into two possible categories: economically relevant and irrelevant. The labelling process was carried out by two experts in Economy working in collaboration. For each news article, the full text of the article was analyzed to determine the category. The format: There are two different versions for this dataset: the reduced and the full versions. The former consists of a CSV and a readme file. The CSV file has five columns: "Instance No.", "Title", "Web Publication Date", "web URL" and "Economically Relevant". This version is reduced in columns as it does not include the full article texts; however, it does include all the 1789 instances. Requesting the full dataset: To gain access to the full version of the dataset (which includes the body of the news articles), please send an email to mariano.maisonnave@cs.uns.edu.ar with a copy to openplatform@theguardian.com requesting authorization and making it clear that the data set will not be used for commercial purposes.

  10. d

    Live Briefs PRO Global Markets

    • datarade.ai
    .xml
    Updated Mar 9, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MT Newswires (2022). Live Briefs PRO Global Markets [Dataset]. https://datarade.ai/data-products/live-briefs-pro-global-markets-mt-newswires
    Explore at:
    .xmlAvailable download formats
    Dataset updated
    Mar 9, 2022
    Dataset authored and provided by
    MT Newswires
    Area covered
    Malaysia, Pakistan, Australia, China, Germany, Austria, Spain, United States of America, Sweden, New Zealand
    Description

    MT Newswires offers premium intra-day global markets commentary and breaking news on a wide range of economic, equity, fixed income, energy commodity and FX markets, covering the US, Canada, Europe, and Asia with a focus on the most widely followed securities and events in developed markets and economies. Reports are designed to give the reader a quick and precise picture of the data, while analysts highlight both the immediate impact on the markets as well as the longer run implications for the economy and central bank policy. The Live Briefs Global Markets service is designed to keep a broad range of market participants and wealth managers alerted to market moving events around the globe. o 160 categories of original, real time multi-asset class coverage of equities, treasuries, commodities, options, ETFs and economies throughout the trading and business day; o Global Equities -Significant events affecting individual public companies in Europe, North America and Asia; o Global Economic news and market summaries; o Sector summaries (pre-market, mid-day and closing); o Forex commentary covering the major global currencies; o Energy and precious metal news and daily summaries; o Top News updates throughout each business day; o Earnings estimate changes; o Analyst rating changes; o After Hours and Pre-Market news, trading activity and technical price levels indications; o Market Chatter & Street Color– real time market moving insights from traders and investment professionals globally; o ETF Power Play- Daily trends in ETF trading activity; o Insider Trends – Notable individual and sector related insider trading activity; o Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.)

  11. Economic Commentary

    • clevelandfed.org
    Updated Sep 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve Bank of Cleveland (2025). Economic Commentary [Dataset]. https://www.clevelandfed.org/publications/economic-commentary
    Explore at:
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Economic Commentary offers deep-dive analysis of timely economic issues for an informed but nonspecialist audience, as well as news from our Bank and the world of monetary policy generally.

  12. e

    Journal of Family and Economic Issues - impact-factor

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Journal of Family and Economic Issues - impact-factor [Dataset]. https://exaly.com/journal/22232/journal-of-family-and-economic-issues
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  13. h

    Financial-News-Headlines-Reuters

    • huggingface.co
    Updated Jul 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ankon Bhowmick (2025). Financial-News-Headlines-Reuters [Dataset]. https://huggingface.co/datasets/Ankonbh/Financial-News-Headlines-Reuters
    Explore at:
    Dataset updated
    Jul 27, 2025
    Authors
    Ankon Bhowmick
    Description

    Ankonbh/Financial-News-Headlines-Reuters dataset hosted on Hugging Face and contributed by the HF Datasets community

  14. Cultural and leisure activities and events: Impact of the economic downturn...

    • ckan.publishing.service.gov.uk
    Updated Dec 10, 2011
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ckan.publishing.service.gov.uk (2011). Cultural and leisure activities and events: Impact of the economic downturn on participation and attendance - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/cultural_and_leisure_activities_and_events-impact_of_the_economic_downturn_on_participation_and_atte
    Explore at:
    Dataset updated
    Dec 10, 2011
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Impact of economic downturn on cultural and leisure activities and events Source agency: Culture, Arts and Leisure (Northern Ireland) Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Cultural and leisure activities and events: Impact of economic downturn

  15. New Events Data in Singapore

    • kaggle.com
    zip
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Singapore [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-singapore
    Explore at:
    zip(4948 bytes)Available download formats
    Dataset updated
    Sep 14, 2024
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Singapore
    Description

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

    Techsalerator's News Events Data for Singapore offers a powerful resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Singapore, pulling 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 Singapore. 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 Singapore - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Singapore’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in popular sports such as soccer, swimming, and table tennis, often drawing widespread attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations in Singapore’s thriving tech ecosystem, featuring emerging companies and advancements.

    Top 5 News Sources in Singapore - The Straits Times: A leading news outlet providing comprehensive coverage of national politics, economy, and social issues. - Channel News Asia: A major news platform known for its timely updates on breaking news, politics, and current affairs. - The Business Times: A widely-read newspaper offering insights into economic developments, business news, and corporate activities. - TODAY: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - Channel 8 News: The national news channel delivering updates on significant events, public health, and sports across Singapore.

    Accessing Techsalerator’s News Events Data for Singapore To access Techsalerator’s News Events Data for Singapore, 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 Singapore. 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.

  16. R

    Russia Consolidated Government Expenditure: ytd: NE: General Economic Issues...

    • ceicdata.com
    Updated Aug 9, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). Russia Consolidated Government Expenditure: ytd: NE: General Economic Issues [Dataset]. https://www.ceicdata.com/en/russia/consolidated-government-expenditure-ytd/consolidated-government-expenditure-ytd-ne-general-economic-issues
    Explore at:
    Dataset updated
    Aug 9, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2021 - Jul 1, 2022
    Area covered
    Russia
    Variables measured
    Operating Statement
    Description

    Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data was reported at 60.747 RUB bn in Jul 2022. This records an increase from the previous number of 49.087 RUB bn for Jun 2022. Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data is updated monthly, averaging 20.965 RUB bn from Jan 2005 (Median) to Jul 2022, with 210 observations. The data reached an all-time high of 87.716 RUB bn in Dec 2021 and a record low of 0.200 RUB bn in Jan 2007. Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FA004: Consolidated Government Expenditure: ytd.

  17. T

    News | NWS - Trade Creditors

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). News | NWS - Trade Creditors [Dataset]. https://tradingeconomics.com/nws:au:trade-creditors
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    Australia
    Description

    News reported $335M in Trade Creditors for its fiscal quarter ending in June of 2025. Data for News | NWS - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  18. h

    twitter-financial-news-sentiment

    • huggingface.co
    • opendatalab.com
    • +1more
    Updated Dec 4, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    not a (2022). twitter-financial-news-sentiment [Dataset]. https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2022
    Authors
    not a
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Description

    The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.

    The dataset holds 11,932 documents annotated with 3 labels:

    sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" }

    The data was collected using the Twitter API. The current dataset supports the multi-class classification… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.

  19. h

    twitter-financial-news-topic

    • huggingface.co
    Updated Dec 4, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    not a (2022). twitter-financial-news-topic [Dataset]. https://huggingface.co/datasets/zeroshot/twitter-financial-news-topic
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2022
    Authors
    not a
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Description

    The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.

    The dataset holds 21,107 documents annotated with 20 labels:

    topics = { "LABEL_0": "Analyst Update", "LABEL_1": "Fed | Central Banks", "LABEL_2": "Company | Product News", "LABEL_3": "Treasuries | Corporate Debt", "LABEL_4": "Dividend"… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-topic.

  20. New Events Data in Peru

    • kaggle.com
    zip
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Peru [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-peru/data
    Explore at:
    zip(9785 bytes)Available download formats
    Dataset updated
    Sep 14, 2024
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Peru
    Description

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

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

    Key Data Fields - Event Date: Records the exact date of the news event, essential for tracking trends over time or responding to market shifts. - Event Title: A concise headline describing the event, allowing users to quickly assess and categorize news content based on relevance. - Source: Identifies the news outlet or platform reporting the event, aiding users in tracking credible sources and evaluating the event's reach and influence. - Location: Provides geographic details indicating where the event occurred within Peru, valuable for regional analysis or localized marketing. - Event Description: A detailed summary outlining the key developments, participants, and potential impact of the event. This helps users understand the context and implications.

    Top 5 News Categories in Peru - Politics: Covers major news related to government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities impacting the business and finance sectors in Peru. - Social Issues: Includes news on protests, public health, education, and other societal concerns that influence public discourse. - Sports: Highlights events in popular sports such as football, volleyball, and others, capturing widespread public attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations within Peru’s evolving tech ecosystem, featuring new companies and advancements.

    Top 5 News Sources in Peru - El Comercio: A leading news outlet offering comprehensive coverage of national politics, economics, and social issues. - La República: A major newspaper known for its detailed updates on breaking news, politics, and current affairs. - RPP Noticias: A prominent news platform providing timely coverage of a wide range of topics including politics, economy, and social issues. - Perú21: Offers extensive coverage on national and international news, focusing on politics, business, and entertainment. - Gestión: Specializes in economic and business news, providing insights into market trends and financial developments.

    Accessing Techsalerator’s News Events Data for Peru To access Techsalerator’s News Events Data for Peru, 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 tracking significant events in Peru, aiding in informed decision-making for business strategy, market analysis, or academic research, and providing a comprehensive view of the country's news landscape.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Crawl Feeds (2025). CNBC Economy Dataset - 17K Economy Articles CSV [Dataset]. https://crawlfeeds.com/datasets/cnbc-economy-articles-dataset

CNBC Economy Dataset - 17K Economy Articles CSV

CNBC Economy Dataset - 17K Economy Articles CSV from cnbc.com

Explore at:
zip, csvAvailable download formats
Dataset updated
Nov 24, 2025
Dataset authored and provided by
Crawl Feeds
License

https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

Description

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.

Search
Clear search
Close search
Google apps
Main menu