Meteosource Weather API

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Meteosource Weather API Data Products: APIs & Datasets

Explore Meteosource Weather API’s datasets, databases, and data feeds.
Comprehensive hyperlocal weather data for any location or GPS coordinate. Updated in real-time based on the latest measurements. Minute-b...
20K API calls
249 countries covered
20 years of historical data
Using our proprietary machine learning algorithms, we provide data adjusted to your needs – for individual power plant locations and grid...
249 countries covered
20 years of historical data
Historical weather data for any location worldwide and observed hourly data for the requested day.
249 countries covered
20 years of historical data

Meteosource Weather API Pricing & Cost

Learn about Meteosource Weather API’s prices, subscription cost, and API pricing.
Meteosource Weather API’s APIs and datasets range in cost from $0.01 / API call to $600 / purchase. Meteosource Weather API offers free samples for individual data requirements. Get talking to a member of the Meteosource Weather API team to receive custom pricing options, information about data subscription fees, and quotes for Meteosource Weather API’s data offering tailored to your use case.

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About Meteosource Weather API

Learn more about Meteosource Weather API’s data sources, use cases, and integrations.

Meteosource Weather API in a Nutshell

Weather API based on machine learning models for best-in-class accuracy.

Headquarters
Czech Republic

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Data Offering

Most weather services around the world prepare their forecasts based on a single global model. We use our vast database of historical weather and all past forecasts of available global weather models to create a single output that minimises the errors and biases of individual models. This is achieved using machine learning algorithms that evaluate past errors in different meteorological situations and locations.

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Use Cases

Data Modeling
Energy Usage Management
Machine Learning (ML)
Predictive Modeling Trading Weather Analytics Weather Forecasting Weather Observation

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Frequently asked questions about Meteosource Weather API

What does Meteosource Weather API do?

At an affordable price, you will receive accurate and reliable data that you can easily implement into your website or application. We also help you optimise weather-dependent activities.

How much does Meteosource Weather API cost?

Meteosource Weather API’s APIs and datasets range in cost from $0.01 / API call to $600 / purchase. Meteosource Weather API offers free samples for individual data requirements. Get talking to a member of the Meteosource Weather API team to receive custom pricing options, information about data subscription fees, and quotes for Meteosource Weather API’s data offering tailored to your use case.

What kind of data does Meteosource Weather API have?

Weather Data, Air Quality Index, Solar Energy Data, Wind Power Data, and 9 others

What data does Meteosource Weather API offer?

Most weather services around the world prepare their forecasts based on a single global model. We use our vast database of historical weather and all past forecasts of available global weather models to create a single output that minimises the errors and biases of individual models. This is achieved using machine learning algorithms that evaluate past errors in different meteorological situations and locations.