Dataset API

The meteoblue Dataset API provides direct access to large volumes of archived weather data, enabling efficient download of complete and consistent datasets.

Pricing
Pricing

Explore Our Data: Variables, Models & Coverage

The meteoblue Dataset API grants access to the entire meteoblue weather data archive, which is comprised of more than 100 weather variables gathered from over 50 data sources. This data can be composed and aggregated as desired via the API’s user interface.

Designed for Demanding Data Workflows

High-Volume Batch Delivery

Retrieve large-scale weather datasets for the entirety of one or multiple regions in a single, efficient request. This eliminates the need for thousands of time-consuming single-point API calls, making it ideal for handling large geographic areas and long time periods.

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Optimised for Machine Learning 
& AI

Accelerate your algorithm development and model training. The API provides fast access to complete, structured, high-resolution weather datasets, delivered in one request to simplify and speed up data ingestion for your AI and research workflows

Fully Customisable Data Packages

Request datasets adapted to your specific project requirements. Customise the time period and temporal resolution (hourly, daily, monthly aggregates), define the area and spatial resolution, and select the parameter groups you need.

Flexible Formats & Seamless Integration

Choose from a variety of file formats to receive data structured for optimal compatibility with your systems. The Dataset API is built for direct integration with modern data pipelines and cloud storage solutions, delivering analysis-ready data.

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30+

Weather models provide a unique range of data

3000+

Business Customers from more then 100 countries around the globe

250.000+

Weather stations enable worlds highest precision

The meteoblue service has always been technically 100% reliable, and has always delivered top-quality forecasts. Working with meteoblue has been one of the best professional experiences I can think of, and we intend to continue in the future.

Ronald Krause
Co-Founder, GEOsens

Success Stories

Solar-Log and meteoblue: A Partnership Shining Bright for a Sustainable Future

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Sectors we work with

Energy

Optimize renewable generation and protect critical infrastructure with precise forecasts that prevent equipment failures and maximize output across all your energy assets.

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Agriculture

Make smarter farming decisions with weather intelligence that protects crops, optimizes field operations, and maximizes yields while reducing resource waste.

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Transport & Logistics

Keep fleets moving safely and efficiently by predicting road conditions, optimizing routes around weather risks, and reducing delays from unexpected weather events.

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Urban Resilience

Build cities prepared for tomorrow's climate by designing infrastructure that withstands future conditions and protecting critical systems from extreme weather.

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Leisure

Deliver exceptional visitor experiences by planning events with confidence, ensuring guest safety, and optimizing operations based on accurate weather forecasts.

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Sustainability

Meet climate reporting requirements with regulatory-compliant data that demonstrates environmental progress and aligns business strategy with science-based targets.

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Explore our Pricing Options

Flexible pricing plans designed for organizations from startups to enterprises. Explore the solution that fits your needs.

FAQ

What weather variables and data sources does the API provide?

The API grants access to over 100 weather variables sourced from more than 50 data models and 250,000 weather stations worldwide. Businesses can select parameter groups covering temperature, precipitation, wind, solar radiation, and more. With 30-plus numerical weather models available, organizations in energy, agriculture, and insurance gain the model diversity required for robust risk assessment, forecast validation, and multi-source ensemble analysis.

What temporal and spatial customization options are available?

Businesses can define the exact time period, temporal resolution, geographic area, and spatial resolution for each dataset request. This granularity supports use cases ranging from site-specific agricultural risk modeling to regional energy grid planning. Custom data packages ensure that only relevant parameters are delivered, reducing processing overhead and optimizing storage costs for organizations managing large-scale geospatial data infrastructure.

Which file formats does the Dataset API support for integration?

The API supports multiple file formats structured for direct compatibility with standard data engineering tools and cloud platforms. Format flexibility ensures seamless integration into existing ETL pipelines, business intelligence systems, and scientific computing environments. Organizations in logistics, insurance, and sustainability reporting can ingest weather data without format conversion, reducing integration lead time and accelerating time-to-insight for operational and compliance-driven workflows.

How does the API support sustainability and climate reporting requirements?

The Dataset API provides regulatory-compliant historical and modeled weather data aligned with science-based climate targets and ESG reporting frameworks. Organizations can access consistent, auditable datasets spanning decades to support carbon footprint analysis, climate risk disclosure, and environmental impact assessments. The structured data delivery model ensures traceability and reproducibility, which are essential requirements for organizations operating under CSRD, TCFD, or equivalent international reporting standards.

How does the Dataset API handle bulk weather data retrieval?

The meteoblue Dataset API delivers large-scale weather datasets for entire regions in a single request, eliminating the need for thousands of individual API calls. This high-volume batch delivery approach is designed for organizations managing extensive geographic areas or multi-year historical periods. Data is returned in analysis-ready formats compatible with modern data pipelines and cloud storage architectures, reducing ingestion time and infrastructure costs for enterprise-level operations.