Best +8 Historical Weather APIs to use in 2023
Weather has always been a fascinating subject for humans, and with the advent of technology, we can now access historical weather data with ease. Historical weather APIs provide access to a wealth of information about past weather conditions, allowing us to analyze and understand weather patterns over time. In this article, we will explore some of the best historical weather APIs available today.
What are Historical Weather APIs
Historical weather APIs are application programming interfaces that provide access to historical weather data. These APIs allow developers to retrieve weather data from past dates and times, which can be useful for a variety of applications, such as climate research, weather forecasting, and historical analysis.
Historical weather APIs typically provide data on a range of weather variables, including temperature, precipitation, wind speed and direction, humidity, and atmospheric pressure. The data is often available in a variety of formats, such as JSON, XML, or CSV, and can be accessed through RESTful APIs or other web services.
Some popular historical weather APIs include Weather Underground, OpenWeatherMap, and Dark Sky. These APIs offer a range of features, such as hourly or daily data, global coverage, and historical data going back several decades. Some APIs also offer real-time weather data, which can be useful for applications that require up-to-date weather information.
Main Use Cases of Historical Weather APIs
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Agriculture: Farmers and agricultural businesses can use historical weather data to make informed decisions about crop planting, irrigation, and harvesting. By analyzing past weather patterns, they can predict future weather conditions and adjust their farming practices accordingly.
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Travel and Tourism: Historical weather data can be used by travel and tourism companies to provide accurate information to their customers. This can include information about the best time to visit a particular destination, what to pack, and what activities are available based on the weather.
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Insurance: Insurance companies can use historical weather data to assess risk and determine premiums for policies. For example, if an area has a history of severe weather events, insurance companies may charge higher premiums to cover potential damages.
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Research and Education: Historical weather data is valuable for research and educational purposes. Scientists and researchers can use the data to study climate change, weather patterns, and other environmental factors. Educational institutions can use the data to teach students about weather and climate.
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Energy and Utilities: Energy and utility companies can use historical weather data to predict energy demand and adjust their operations accordingly. For example, if a heatwave is predicted, they may need to increase their energy production to meet the increased demand for air conditioning.
Best Historical Weather APIs - Our top picks
| Dimension | CustomWeather API | AWIS Weather Services | WeatherSource |
|---|---|---|---|
| Data Coverage | Over 80,000 locations worldwide | Extensive database of worldwide historical weather data dating back to the mid-1900s | Comprehensive data going back to the year 2000 |
| Data Format | XML or JSON formatted data | Graphical, tabular, and raw feed formats | Highly adaptable and scalable API |
| Data Quality | Accurate and reliable weather data | Quality checked by experienced meteorologists | Analytics-grade data built for machine learning and advanced analytics applications |
| Pricing | Flexible plans based on the number of API calls made per month, starting at $99 per month for up to 10,000 API calls | Affordable and scalable pricing plans, pay per query or subscribe to a monthly plan | Flexible pricing options based on usage, with volume discounts available for larger customers |
| Industries Served | Various industries | Agriculture, energy, construction, freight, among others | Businesses of all sizes |
| Overall Recommendation | Highly recommended for businesses that require accurate and reliable weather data for their operations | An excellent choice for a reliable and affordable historical weather API | Highly recommended for any business looking to harness the power of weather and climate data for business intelligence |
The Best +8 Historical Weather APIs to use in 2023
CustomWeather API is a leading provider of weather data and intelligence solutions for businesses across various industries. Their historical weather API is one of the best in the market, offering a comprehensive collection of weather data that spans over 80,000 locations worldwide. In this review, we will take a closer look at the general features, pricing, and overall performance of CustomWeather API’s historical weather API.
General Features
CustomWeather API’s historical weather API offers a wide range of features that make it stand out from other weather APIs in the market. Some of the key features include:
- XML or JSON formatted data
- Geolookup
- Weather data for over 80,000 locations worldwide
- Over 85 different languages
- Interactive Maptiles, Radar, and Satellite images
- Ability to refine forecasts down to 100-meter resolution worldwide
- Secure data encryption via HTTPS
These features make CustomWeather API’s historical weather API a powerful tool for businesses that require accurate and reliable weather data for their operations.
Pricing
CustomWeather API offers flexible pricing plans that cater to businesses of all sizes. Their pricing is based on the number of API calls made per month, with plans starting at $99 per month for up to 10,000 API calls. They also offer custom pricing for businesses that require more than 1 million API calls per month.
CustomWeather API’s pricing is competitive, and their flexible plans make it easy for businesses to scale their usage as their needs grow.
Overall Review and Conclusion
CustomWeather API’s historical weather API is one of the best in the market, offering a comprehensive collection of weather data that spans over 80,000 locations worldwide. Their API is easy to use, and their flexible pricing plans make it accessible to businesses of all sizes.
Overall, we highly recommend CustomWeather API’s historical weather API to businesses that require accurate and reliable weather data for their operations. With their powerful features and competitive pricing, CustomWeather API is a top choice for businesses across various industries.
AWIS Weather Services offers one of the best historical weather APIs in the market. Their API provides access to an extensive database of worldwide historical weather data dating back to the mid-1900s. The API is designed to cater to various industries, including agriculture, energy, construction, and freight, among others.
General Features
The AWIS Weather Services’ Historical Weather API provides hourly weather data that can be used for climate analytics, supply chain management, business intelligence applications, and other data mining needs. The API is designed to be user-friendly, and the data is available in various formats, including graphical, tabular, and raw feed formats.
The API is backed by a team of experienced meteorologists who work daily to quality check incoming hourly weather data to ensure their summary products are the most precise and accurate in the market. The API also provides local forecast feeds for both short-term and long-term planning, and digital feeds allow users to plug weather forecasts and observational data directly into their models and spreadsheets.
Pricing
AWIS Weather Services’ Historical Weather API offers flexible pricing plans that cater to different industries and use cases. The pricing plans are designed to be affordable and scalable, and users can choose to pay per query or subscribe to a monthly plan. The pricing plans are transparent, and users can easily calculate their costs using the pricing calculator available on the AWIS Weather Services website.
Overall Review and Conclusion
Overall, AWIS Weather Services’ Historical Weather API is a reliable and user-friendly solution for accessing historical weather data. The API is backed by a team of experienced meteorologists, and the data is available in various formats, making it easy to integrate into different applications and platforms. The pricing plans are flexible and affordable, making it accessible to businesses of all sizes.
In conclusion, if you’re looking for a reliable and affordable historical weather API, AWIS Weather Services’ Historical Weather API is an excellent choice. Their API provides access to an extensive database of worldwide historical weather data, and their pricing plans are flexible and scalable.
WeatherSource is a leading provider of weather and climate data for businesses. Their historical weather API is one of the best in the market, offering a wide range of features and benefits that make it a top choice for businesses of all sizes.
General Features
WeatherSource’s historical weather API offers a range of features that make it stand out from the competition. These include:
- Comprehensive data: WeatherSource’s database goes back to the year 2000, providing businesses with access to a wealth of historical weather data.
- Hyper-local data: WeatherSource’s data is available at a hyper-local level, down to the exact storefront, job site, real estate property, agricultural field, or automobile.
- Analytics-grade data: WeatherSource’s data is of the highest quality, built for machine learning and other advanced analytics applications.
- Scalable API: WeatherSource’s API is highly adaptable and scalable, ensuring uninterrupted, on-demand access to their quality products.
Pricing
WeatherSource offers flexible pricing options for their historical weather API, with plans tailored to meet the needs of businesses of all sizes. Pricing is based on usage, with volume discounts available for larger customers.
Overall Review and Conclusion
Overall, WeatherSource’s historical weather API is one of the best in the market, offering a range of features and benefits that make it a top choice for businesses of all sizes. With comprehensive, hyper-local, and analytics-grade data, businesses can make informed decisions based on the impact of weather and climate on their operations. Additionally, WeatherSource’s flexible pricing options make it accessible to businesses of all sizes. We highly recommend WeatherSource’s historical weather API for any business looking to harness the power of weather and climate data for business intelligence.
MeteoSource Weather API is a comprehensive weather data provider that offers real-time, forecast, and historical accurate data at an affordable price. The API is designed to provide accurate and reliable data that can be easily integrated into websites or applications. In this review, we will focus on the historical weather data feature of the MeteoSource Weather API.
General Features
MeteoSource Weather API offers a range of features that make it one of the best historical weather APIs in the market. These features include:
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Historical weather data based on actual measurements: The API provides historical weather data for any location in the world based on actual measurements. This ensures that the data is accurate and reliable.
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Customized solutions: MeteoSource Weather API provides data adjusted to your needs and for specific business sectors. The API’s AI experts are always ready to apply their models for the purposes you specify.
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Weather API based on machine learning models for best-in-class accuracy: The API uses cutting-edge machine learning models to improve weather forecasts. All available weather measurements, along with local and global data, are incorporated into their meteorological AI technology to provide accurate hyperlocal weather forecasts anywhere in the world.
Pricing
MeteoSource Weather API offers a range of pricing plans to suit different needs. The plans include:
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Free plan: This plan offers 400 free calls per day, with a limit of 10 calls per minute. It includes current weather, weather forecast, and historical weather data.
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Startup & Scale plan: This plan costs $9.9 per month and offers 20,000 free calls per day, with a limit of 100 calls per minute. It includes current weather, weather forecast, and historical weather data.
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Standard plan: This plan costs $79 per month and offers 400,000 free calls per day, with a limit of 250 calls per minute. It includes current weather, weather forecast, historical weather data, and weather maps & layers.
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Flexi plan: This plan costs $5 per month and offers 100 free calls per day, with a limit of 2000 calls per minute. It includes current weather, weather forecast, historical weather data, and weather maps & layers.
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Enterprise plan: This plan offers custom pricing and is tailored to your specific needs. It includes all the features of the other plans, as well as customised weather API solutions.
HSat Weather is a weather monitoring and reporting service that provides past, present, and future weather data for specific locations and crops. Their services are bespoke, meaning they offer customized alerts for each crop and location, and not just generic areas. They monitor sugar fields in Brazil region by region, providing all the past and present data, as well as forecasts.
General Features
HSat Weather’s unique understanding of crops, weather, and large-scale data analytics allows them to provide this service. They have over 1,000 staff from Brazil to Bangladesh visiting locations and collecting data on crops. They can even visit the fields in the area and check on the quality if needed.
Pricing
HSat Weather offers competitive pricing for their services. They provide customized quotes based on the specific needs of each client.
Overall Review and Conclusion
HSat Weather offers one of the best historical weather APIs on the market. Their bespoke services and unique understanding of crops, weather, and large-scale data analytics set them apart from other weather monitoring and reporting services. Their competitive pricing and customized quotes make them an excellent choice for businesses and organizations looking for accurate and reliable weather data. Overall, we highly recommend HSat Weather for their exceptional services and expertise in the field.
Gspatial Historical Weather Data is a reliable and accurate dataset that provides hyperlocal historical bulk weather data from over 30 years ago for more than 90+ countries across the globe. This dataset is an excellent resource for professionals who want to gather, simplify, and analyze processes to promote sustainability, awareness, or tackle specific climate action initiatives.
General Features
One of the standout features of Gspatial Historical Weather Data is its coverage. The dataset is available for all locations across the globe, making it an excellent resource for professionals who need weather data from different parts of the world. Additionally, the dataset covers all major parameters, including air temperature, dew point, relative humidity, wind speed, and cloud coverage, among others. These parameters have connections with various weather-sensitive sectors and play a key role in weather-based services.
Another great feature of Gspatial Historical Weather Data is its user-friendliness. The dataset is easy to read and adds value to multiple segments of industries when it comes to application. The downloadable formats available for the dataset make it easy for professionals to access and use the data.
Pricing
Gspatial Historical Weather Data offers flexible pricing options that cater to the needs of different professionals. The pricing is based on the number of locations and parameters required, making it easy for professionals to choose a plan that suits their needs and budget.
Overall Review and Conclusion
Overall, Gspatial Historical Weather Data is one of the best historical weather APIs available. The dataset is accurate, reliable, and covers all major parameters, making it an excellent resource for professionals who need weather data from different parts of the world. The user-friendliness of the dataset and the flexible pricing options make it an ideal choice for professionals in various industries. If you’re looking for a historical weather API, Gspatial Historical Weather Data is definitely worth considering.
OpenWeatherMap offers one of the best historical weather APIs on the market. Their API provides access to historical weather data for any location on Earth, with a depth of historical data that extends back 40 years. The API also includes current and forecasted weather data, with minute-by-minute forecasts available.
The API is available via light-speed APIs, which are frequently updated based on global and local weather models, satellites, radars, and a vast network of weather stations. The API is easy to use and can be accessed via geographic coordinates, zip/post code, city name, city ID, or number of cities.
Pricing
OpenWeatherMap’s Historical Weather API is available via a variety of subscriptions with various limits on calls/min, data availability, and service. They offer a free plan that includes 1,000 API calls per day, with pay-as-you-go pricing for additional calls. For professionals and specialists with middle and large-sized projects, they recommend their Professional collections, which include extended data sets or various tools for receiving and displaying data.
Overall Review and Conclusion
Overall, OpenWeatherMap’s Historical Weather API is an excellent choice for anyone looking for historical weather data. The API is easy to use, provides access to a depth of historical data that extends back 40 years, and includes current and forecasted weather data. The API is available via a variety of subscriptions with various limits on calls/min, data availability, and service, making it accessible to a wide range of users. Additionally, OpenWeatherMap offers excellent customer support and a variety of resources to help users get started with their API.
AERIS Weather offers one of the best historical weather APIs on the market. Their API is created by developers, for developers, and is one of the most complete and advanced weather APIs available.
General Features
The AERIS Weather API provides access to a wide range of weather data, including current conditions, forecasts, and historical weather data. The API also includes advanced features such as severe weather alerts, lightning strikes, and global radar.
In addition to their API, AERIS Weather also offers a range of mapping and imagery options, including high-resolution global radar, alerts, and lightning strikes.
Pricing
AERIS Weather offers a range of pricing options to suit different business needs. They offer a free plan for developers to test their API, as well as paid plans for businesses with more advanced needs. Their pricing is competitive and offers good value for the features provided.
Overall Review and Conclusion
Overall, AERIS Weather’s historical weather API is one of the best on the market. Their API is comprehensive and advanced, providing access to a wide range of weather data and features. Their pricing is competitive and offers good value for businesses of all sizes. If you’re looking for a reliable and comprehensive historical weather API, AERIS Weather is definitely worth considering.
