MET Norway Weather Forecast Scraper

MET Norway Weather Forecast Scraper

Scrape weather forecasts from MET Norway for any latitude and longitude, up to a million per run. Each forecast returns time series data with temperature, wind, humidity, and precipitation details. No API key required. Export to CSV, JSON, Excel, or XML.

MET Norway's official API requires registration and understanding of their complex data models. This Actor reads the public forecast endpoint directly for any coordinates you provide, returning a clean, flat row for each forecast time step. You get the same data without the setup overhead.

Who uses it	What they scrape MET Norway for
Outdoor event planners	Check hourly temperature and precipitation probability for a specific venue location.
Renewable energy analysts	Pull wind speed and direction forecasts to estimate wind turbine output.
Logistics coordinators	Monitor upcoming weather along a delivery route by scraping multiple coordinate points.
Researchers	Build a dataset of historical forecasts for climate pattern analysis.

What it does

This Actor collects weather forecast time series from MET Norway for a given latitude, longitude, and optional altitude, and returns each forecast interval as a flat row.

• 📍 Coordinate-based: provide a latitude and longitude to get the forecast for that exact point.
• ⛰️ Altitude adjustment: optionally set an altitude in meters for more precise local predictions.
• 📊 Time series output: each row represents a specific forecast time step with all available weather parameters.
• 📦 Bulk collection: set a high maximum forecasts count to pull days of data in one run.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with MET Norway data

🏔️ Plan a mountain hike.

A hiking group leader scrapes the forecast for a summit's coordinates to decide if conditions are safe for the weekend trip.

🌬️ Estimate wind energy production.

A wind farm operator pulls wind speed and direction forecasts for turbine locations to predict next-day energy output.

🚚 Optimize delivery schedules.

A logistics manager scrapes forecasts along a highway route to avoid dispatching trucks into a storm.

📈 Build a weather dataset.

A researcher collects daily forecasts for multiple cities over a month to study forecast accuracy trends.

Why choose this scraper

	What you get
No API key	Access MET Norway's public data without registration or authentication.
Flat output	Each forecast time step is a single row, ready for analysis in any tool.
Global coverage	Works for any coordinates worldwide that MET Norway's model covers.
Flexible volume	Collect a single forecast or up to a million intervals per run.

How it compares

No other Store actor targets MET Norway the same way, so the honest comparison is with the alternatives teams actually weigh.

	MET Norway Weather Forecast Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When MET Norway changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with a latitude, longitude, and optional altitude, and set a maximum number of forecast intervals to collect per run. The Input tab lists every parameter.

A first run with the defaults:

{
  "latitude": "59.9139",
  "longitude": "10.7522",
  "maxItems": 10
}

A larger pull:

{
  "latitude": "59.9139",
  "longitude": "10.7522",
  "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the MET Norway Weather Forecast Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to MET Norway through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/met-no-weather-forecast-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your latitude and longitude are valid decimal numbers and within the range -90 to 90 for latitude and -180 to 180 for longitude. Also ensure your maximum forecasts count is set to at least 1.

The forecast data seems inaccurate for my location.

Try providing an altitude value in meters. Forecast accuracy can vary with elevation, especially in mountainous regions. Also verify your coordinates are precise.

I'm getting fewer results than my maximum forecasts setting.

MET Norway provides a finite number of forecast intervals. If you set a maximum higher than what is available, you will only receive the intervals that exist in the current forecast.

The Actor run failed with an error.

Ensure your latitude and longitude inputs are formatted as plain numbers without any symbols like the degree sign. Also check that the MET Norway service is reachable from your network.

Can I get forecasts for a specific date range?

This Actor fetches the entire available forecast from the current moment forward. You cannot request a specific date range, but you can filter the output dataset by timestamp after the run.

FAQ

Question	Answer
Do I need an API key from MET Norway?	No. This Actor uses MET Norway's public, open-data endpoint which does not require registration or an API key.
What coordinates should I use?	Provide latitude and longitude in decimal degrees, for example 59.9139 for Oslo's latitude. You can optionally add an altitude in meters for more accurate results.
How many days of forecast can I get?	MET Norway typically provides forecasts for up to 10 days ahead. The number of intervals depends on the resolution, but you can set a high maximum forecasts count to capture the full available range.
What weather parameters are included?	The output includes temperature, wind speed and direction, humidity, precipitation amount, cloud cover, and pressure, among other parameters, for each forecast time step.
Can I scrape multiple locations at once?	This Actor is designed for one coordinate pair per run. To scrape multiple locations, run the Actor multiple times with different inputs, or use it in a workflow.
What is the altitude input for?	Altitude adjusts the forecast to your specific elevation above sea level, which can significantly affect temperature and precipitation predictions in mountainous areas.
Is this data free to use commercially?	MET Norway's data is licensed under Creative Commons, allowing both commercial and non-commercial use with proper attribution.
How often is the forecast updated?	MET Norway updates their forecasts several times per day. Each run of this Actor fetches the latest available data at that moment.
Can I get historical weather data with this?	No, this Actor provides forecast data only. For historical observations, you would need a different data source.
What output formats are supported?	You can export your results to CSV, JSON, Excel, or XML directly from the Apify dataset.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Meteorologisk institutt. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.