100+ datasets found
  1. c

    CNBC Economy Dataset - 17K Economy Articles CSV

    • crawlfeeds.com
    csv, zip
    Updated Nov 24, 2025
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    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. Transportation Economic Trends (TET) data

    • data.virginia.gov
    • data.bts.gov
    • +2more
    csv, json, rdf, xsl
    Updated Nov 3, 2025
    + more versions
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    U.S Department of Transportation (2025). Transportation Economic Trends (TET) data [Dataset]. https://data.virginia.gov/dataset/transportation-economic-trends-tet-data
    Explore at:
    xsl, rdf, csv, jsonAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Authors
    U.S Department of Transportation
    Description

    Data used in the Bureau of Transportation Statistics' new interactive version of Transportation Economic Trends (TET). TET highlights transportation's role in the economy and explores changes (trends) over time through a series of interactive charts. TET also explains related concepts and data sources for a general audience.

    Interactive visualizations available at: https://data.transportation.gov/stories/s/28tb-cpjy

  3. w

    Dataset of books called World Economy : Geography, Business, Development

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called World Economy : Geography, Business, Development [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=World+Economy+%3A+Geography%2C+Business%2C+Development
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    World
    Description

    This dataset is about books. It has 1 row and is filtered where the book is World Economy : Geography, Business, Development. It features 7 columns including author, publication date, language, and book publisher.

  4. d

    9230, Percent of Business who (reported) Economic Development Department...

    • catalog.data.gov
    • data.austintexas.gov
    • +2more
    Updated May 25, 2025
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    data.austintexas.gov (2025). 9230, Percent of Business who (reported) Economic Development Department programs and services strengthened operations [Dataset]. https://catalog.data.gov/dataset/9230-percent-of-business-who-reported-economic-development-department-programs-and-service
    Explore at:
    Dataset updated
    May 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    The Economic Development Department routinely surveys clients who participate in programs or services within a fiscal year to see the impact of the services provided. To read more about the Economic Development Department and other important measures, visit the 2022 Annual Economic Development Department Report. https://data.austintexas.gov/stories/s/2022-Economic-Development-Annual-Report

  5. F

    Business Tendency Surveys: Export Order Books or Demand: Economic Activity:...

    • fred.stlouisfed.org
    json
    Updated Nov 17, 2025
    + more versions
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    (2025). Business Tendency Surveys: Export Order Books or Demand: Economic Activity: Manufacturing: Current for United States [Dataset]. https://fred.stlouisfed.org/series/BSXRLV02USM086S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Business Tendency Surveys: Export Order Books or Demand: Economic Activity: Manufacturing: Current for United States (BSXRLV02USM086S) from Jan 1990 to Oct 2025 about book, demand, business sentiment, orders, Europe, exports, business, manufacturing, indexes, and USA.

  6. F

    Gross Domestic Product: All Industries in Story County, IA

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Gross Domestic Product: All Industries in Story County, IA [Dataset]. https://fred.stlouisfed.org/series/GDPALL19169
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Story County, Iowa
    Description

    Graph and download economic data for Gross Domestic Product: All Industries in Story County, IA (GDPALL19169) from 2001 to 2023 about Story County, IA; Ames; IA; industry; GDP; and USA.

  7. w

    Dataset of books published by Centre for Economic Policy Research

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books published by Centre for Economic Policy Research [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book_publisher&fop0=%3D&fval0=Centre+for+Economic+Policy+Research
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 7,997 rows and is filtered where the book publisher is Centre for Economic Policy Research. It features 7 columns including author, publication date, language, and book publisher.

  8. F

    Personal Income in Story County, IA

    • fred.stlouisfed.org
    json
    Updated Nov 14, 2024
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    (2024). Personal Income in Story County, IA [Dataset]. https://fred.stlouisfed.org/series/PI19169
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 14, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Story County, Iowa
    Description

    Graph and download economic data for Personal Income in Story County, IA (PI19169) from 1969 to 2023 about Story County, IA; Ames; IA; personal income; personal; income; and USA.

  9. Real Time Machine Readable News

    • lseg.com
    json
    Updated Oct 14, 2025
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    LSEG (2025). Real Time Machine Readable News [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/financial-news-coverage/political-news-feeds-analysis/real-time-news
    Explore at:
    jsonAvailable 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

    Find unrivaled company, commodity and economic stories formatted for automated consumption, with LSEG Real-Time News, powered by Reuters.

  10. F

    Real Gross Domestic Product: Private Services-Providing Industries in Story...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Private Services-Providing Industries in Story County, IA [Dataset]. https://fred.stlouisfed.org/series/REALGDPSERV19169
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Story County, Iowa
    Description

    Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in Story County, IA (REALGDPSERV19169) from 2001 to 2023 about Story County, IA; Ames; services-providing; IA; private; real; industry; GDP; and USA.

  11. d

    BC Ideas Exchange - Economic Development Success Stories

    • datasets.ai
    • open.canada.ca
    21, 8
    Updated Apr 13, 2023
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    Government of British Columbia | Gouvernment de la Colombie-Britannique (2023). BC Ideas Exchange - Economic Development Success Stories [Dataset]. https://datasets.ai/datasets/e04840a4-77fe-4175-a029-8ae195a32a9a
    Explore at:
    8, 21Available download formats
    Dataset updated
    Apr 13, 2023
    Dataset authored and provided by
    Government of British Columbia | Gouvernment de la Colombie-Britannique
    Description

    Are you looking for economic development ideas and inspiration for your community? The BC Ideas Exchange showcases B.C. communities and their innovative approaches to economic development. The best economic development practices are usually developed through community experience, lessons learned and innovation. B.C. communities, even small without sufficient funds, are finding innovative ways to initiate and promote economic development in their communities.

  12. J

    Japan SHE: All Japan: EI: OU: Books

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Japan SHE: All Japan: EI: OU: Books [Dataset]. https://www.ceicdata.com/en/japan/survey-of-household-economy-all-japan/she-all-japan-ei-ou-books
    Explore at:
    Dataset updated
    Mar 15, 2018
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Japan
    Variables measured
    Household Income and Expenditure Survey
    Description

    SHE: All Japan: EI: OU: Books data was reported at 280.000 JPY in Sep 2018. This records an increase from the previous number of 267.000 JPY for Aug 2018. SHE: All Japan: EI: OU: Books data is updated monthly, averaging 218.000 JPY from Jan 2015 (Median) to Sep 2018, with 45 observations. The data reached an all-time high of 280.000 JPY in Sep 2018 and a record low of 184.000 JPY in Nov 2015. SHE: All Japan: EI: OU: Books data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H069: Survey of Household Economy: All Japan.

  13. Children looking at stories using print in the UK 2013, by socio-economic...

    • statista.com
    Updated Mar 15, 2022
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    Statista (2022). Children looking at stories using print in the UK 2013, by socio-economic status [Dataset]. https://www.statista.com/statistics/552836/children-looking-at-stories-using-print-at-home-in-the-uk-by-socio-economic-status/
    Explore at:
    Dataset updated
    Mar 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic displays the proportion of children who looked at stories using print at home in the United Kingdom (UK) in 2013, by socio-economic status. Among children in the C1 socio-economic group in 2013, 95.4 percent looked at stories using print at home.

  14. w

    Dataset of books called The economics and political economy of...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The economics and political economy of transportation security [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+economics+and+political+economy+of+transportation+security
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The economics and political economy of transportation security. It features 7 columns including author, publication date, language, and book publisher.

  15. u

    BC Ideas Exchange - Economic Development Success Stories - Catalogue -...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
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    (2025). BC Ideas Exchange - Economic Development Success Stories - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e04840a4-77fe-4175-a029-8ae195a32a9a
    Explore at:
    Dataset updated
    Oct 19, 2025
    Area covered
    Canada
    Description

    Are you looking for economic development ideas and inspiration for your community? The BC Ideas Exchange showcases B.C. communities and their innovative approaches to economic development. The best economic development practices are usually developed through community experience, lessons learned and innovation. B.C. communities, even small without sufficient funds, are finding innovative ways to initiate and promote economic development in their communities.

  16. e

    Journal of Chinese Economic and Business Studies - article-citations

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). Journal of Chinese Economic and Business Studies - article-citations [Dataset]. https://exaly.com/journal/28822/journal-of-chinese-economic-and-business-studies
    Explore at:
    csv, jsonAvailable 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 number of publications of ^ per year and the number of citations of papers published in the same year. Note that this is not the total number of citations the journal received in year x, but the number of citations papers published in year x received in the subsequent years.

  17. Variables’ description.

    • plos.figshare.com
    xls
    Updated May 28, 2024
    + more versions
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    Bui Dan Thanh; Nguyen Van Diep; Nguyen Huynh Mai Tram (2024). Variables’ description. [Dataset]. http://doi.org/10.1371/journal.pone.0303135.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 28, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bui Dan Thanh; Nguyen Van Diep; Nguyen Huynh Mai Tram
    License

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

    Description

    The existence of a shadow economy is recognized as an impediment to sustainable development. By applying the Bayesian approaches, the current article investigates the linkage between financial development, green trade, and the scope of the shadow economy, aiming to contribute to a comprehensive understanding of how these factors address the challenge posed by the shadow economy in Emerging and Growth-Leading Economies (EAGLE) from 2003 to 2016. The results demonstrate that (i) The progress of the financial sector is expected to diminish the scale of the shadow economy. Specifically, the expansion of financial institutions and markets has a strong and negative influence on the shadow economy. (ii) Increased involvement in green trade is likely to result in a decreased shadow economy. Empirical findings provide evidence for effective policymaking in simultaneously promoting sustainable trade practices, strengthening financial systems, and curtailing informal economic activities for inclusive economic development.

  18. C

    China CN: Other Daily Sundry Article: YoY: Total Asset

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Other Daily Sundry Article: YoY: Total Asset [Dataset]. https://www.ceicdata.com/en/china/daily-sundry-article-other-daily-sundry-article/cn-other-daily-sundry-article-yoy-total-asset
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Other Daily Sundry Article: YoY: Total Asset data was reported at 2.711 % in Oct 2015. This records an increase from the previous number of 2.171 % for Sep 2015. China Other Daily Sundry Article: YoY: Total Asset data is updated monthly, averaging 9.133 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 27.530 % in Feb 2008 and a record low of 2.171 % in Sep 2015. China Other Daily Sundry Article: YoY: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

  19. C

    China CN: Other Daily Sundry Article: YoY: Current Asset

    • ceicdata.com
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    CEICdata.com, China CN: Other Daily Sundry Article: YoY: Current Asset [Dataset]. https://www.ceicdata.com/en/china/daily-sundry-article-other-daily-sundry-article/cn-other-daily-sundry-article-yoy-current-asset
    Explore at:
    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
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Other Daily Sundry Article: YoY: Current Asset data was reported at -0.621 % in Oct 2015. This records a decrease from the previous number of 0.014 % for Sep 2015. China Other Daily Sundry Article: YoY: Current Asset data is updated monthly, averaging 9.642 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 29.340 % in Nov 2007 and a record low of -0.621 % in Oct 2015. China Other Daily Sundry Article: YoY: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

  20. e

    List of Top Authors of New Political Economy sorted by article citations

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
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    (2025). List of Top Authors of New Political Economy sorted by article citations [Dataset]. https://exaly.com/journal/22750/new-political-economy/top-authors/most-cited/lifetime
    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

    List of Top Authors of New Political Economy sorted by article citations.

Share
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Email
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Close
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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.

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