Get past 10 years of historical and archived news data from a database of 102889+ News sources In Excel, CSV and JSON formats .
Get 10 years worth of news data from 206+ countries and 102889+ news sources and gain an in-depth understanding of your market.
Filter the data based on country, category, language, date range and many such filter options to get the data exactly what you need.
Get structured and machine-readable news data in JSON, Excel, or CSV formats and perform analysis to extract useful insights.
Our historical news data report includes raw news dataset in Excel/CSV/JSON format and analysis dashboard with lots of useful metrics.
Our historical news archive isn't just a dump of text. It's a curated database where every article is enriched with AI-driven insights.
Sentiment Analysis (Positive, Neutral, Negative)
Automatic Categorization (Finance, Tech, etc.)
Named Entity Recognition (People, Orgs, Places)
Spam & Duplicate Article Filtering
Keyword & Topic Extraction
Country, Region & Language Detection
Publisher and Author Metadata
Cryptocurrency, Stock & Market Data Tags
Source Influence & Credibility Metrics
CSV
Excel
JSON
Price of Historical News Dataset depends on the number of records.
Please fill the below form to mention your requirements
Newsdata.io API collects all the available metadata related to the news articles provided by the publishers. All the metadata that we collect about the news articles are mentioned below
The headline or title of the news article.
A short summary or excerpt from the article (description).
The complete body content of the article, if available (content).
The name of the publisher or news source (source_name).
The homepage URL of the source/publisher (source_url).
The language in which the article is written (language).
The country or countries associated with the publisher (country).
The topic or category of the article, such as sports, politics, tech, etc. (category).
The overall sentiment of the article content (sentiment) such as positive, neutral, or negative.
Some most used applications of historical news data are mentioned below
Compare stock data over time, spot trends, and market forecasts against 2-year-old select articles from thousands of sources. Forecast the market and stay ahead of your competitors.
Find out where the market has gone and where you can go with access to our historical data. Extract relevant news data to help shape your product launch and determine where and how to impact your business.
Use NLP, machine learning, and sentiment analysis to uncover new ideas. With a plethora of news data starting in 2019, you can easily create and train machine models to improve and automate your business goals.
Expand your reach and learn more about the brands you manage with historical news data from thousands of sources. Build brand value and stay ahead of the competition.
Collect Worldwide Historical News And Blog data with our News API