’s Historical Weather API: Uncover Actionable Trends

Optimize your operations with access to hourly and daily historical weather data up to seven years in the past.

Make a Greater Business Impact with Hourly and Daily Historical Weather Data

You can gain valuable insights into the future by collecting data from the past, especially in weather applications. The challenge is gaining access to data points from years ago, which isn’t easy for businesses that need to find accurate data to make decisions.

Weather conditions can make an impact on customer behaviors, and businesses should have analytics in place to identify changes in buying habits, service requests, and other revenue-impacting events from weather conditions. With’s Historical Weather API, businesses can pull data from up to seven years in the past and use it to improve their operations.

The Value of a Historical Weather API

Businesses spend hours of effort building and maintaining analytic tools to gain insights from past sales, revenue numbers, and other data that can be used to make decisions for the future and to grow into a dominant enterprise in their industry. Historical weather data can also aid in future business decisions and sales optimization strategies, and it often helps businesses realize overlooked opportunities.

Weather has a significant impact on business operations, but most organizations still rely on traditional weather forecasts to react to events. The meteorologists you listen to each day use historical weather data to help make their predictions, but their final forecasts focus almost exclusively on future events. While these forecasts may help individuals to determine if they should bring an umbrella to work the next day, for example, they lack historical context.

Historically, businesses can find value in weather information from the past in a number of ways ranging from preparing for a surge in demand to validating information to make financial decisions. Weather impacts some industries, like aviation, logistics, and sports, in more obvious ways, but it also plays a significant role across all sectors. For example, tropical areas have heavy rain seasons, and businesses that sell anything related to storm products and services can pinpoint what week they need to onboard people to support an increase in sales. While this is a simple example (see more specific use cases below), it can have value to businesses that struggle to properly support a boost in sales that occur based on changes in the weather, possibly without realizing that weather changes customer behavior patterns.

What Makes’s Historical Weather API Different

We introduced’s historical weather API to help businesses leverage weather data in order to better analyze and predict weather tomorrow. Instead of forcing you to build analysis tools from limited and potentially inaccurate data, ensures that you get accurate, hyper-local, and up-to-date historical weather data that you can use within any application, algorithm, or analysis tools.

Scientific verification

that ensures all historical endpoint data is ready for any project

Customizable data sets

based on your unique business requirements and needs


that add value for any business, industry, and strategy

Make Historical Weather API Calls Quickly and Easily

The historical weather API has a Historical endpoint that lets developers pull data as a timeline data set. Let’s say that you want to get historical temperature data for March 20, 2019 to March 28, 2019.

The payload lists the parameters available from the historical endpoint. The data point that you want (in this example, temperature) will be returned for every duration (e.g., hour, minute, etc.) within the timeframe specified. The units in this request are the imperial system, but you can also request metric units.

This data set would retrieve temperature data, but’s historical weather API provides dozens of other historical data points. Together with insights, events, and notifications, historical data lets developers build rich forecasting applications based on past weather.

Leverage our Historical Weather API for a Variety of Use Cases

Using historical data, the insurance industry can identify weather events at a specific date. Leveraging historical data, insurance companies also send customers alerts about future weather events to help them prepare for them and mitigate damage to insured assets.

The supply chain relies heavily on accurate logistics and timely deliveries. Interruptions from unforeseen weather events impact these companies and can cost millions in losses. Historical data can be used to build better strategies around current and future weather conditions.

During sporting events, customers are more likely to purchase specific products based on outdoor weather. For example, the Patriots football team used weather forecasting to make opportunistic product sales and increase revenue up to 20% on certain days.

Uber uses minute-by-minute weather data to optimize offers during weather events, reduce the cost of customer acquisitions by 20%, and improve estimated time of arrival (ETA) accuracy by 25%.

The travel industry could arguably use past weather data the most, and JetBlue is one such trendsetter leveraging the historical weather API to save $50,000 per month in operational costs due to severe weather.

In 2020, India saw one of the biggest storms ever recorded, which put 300,000 residents at risk. IndiGrid used predictive analytics from historical weather data to determine staffing and support for future severe weather events that could cause damage and outages.