# MET Norway Weather Forecast Scraper (`parseforge/met-no-weather-forecast-scraper`) Actor
Fetch hourly forecasts from MET Norway by latitude and longitude, returning time, temperature, wind\_speed, wind\_direction, humidity, precipitation, and pressure. Great for outdoor planning, marine routing, energy load forecasting, and weather aware product features worldwide.
- **URL**: https://apify.com/parseforge/met-no-weather-forecast-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Automation, Integrations, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## ๐ค๏ธ MET Norway Weather Forecast Scraper
> ๐ **Export hourly weather forecasts worldwide from the official Norwegian Meteorological Institute api.met.no in seconds.**
> ๐ **Last updated:** 2026-05-29 ยท **๐ 11 fields** per record ยท MET Norway LocationForecast 2.0 ยท Worldwide coverage ยท Up to 10 days hourly
The MET Norway Weather Forecast Scraper turns the free [api.met.no LocationForecast endpoint](https://api.met.no/weatherapi/locationforecast/2.0) into a clean dataset. Pass a lat/lon, get one row per forecast time step.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| ๐ Analysts | Build clean datasets from the source |
| ๐ข Business teams | Plug official data into internal tools |
| ๐ค ML engineers | Training data ready for pandas and BigQuery |
| ๐ฐ Journalists | Verify numbers in seconds |
| ๐ Researchers | Reproducible historical pulls |
| ๐ฉโ๐ป Developers | Skip writing a client library |
### ๐ What the MET Norway Weather Forecast Scraper does
- Calls the public MET Norway api.met.no endpoint.
- Parses the response and flattens each record into a clean row.
- Casts numeric fields and normalizes timestamps for downstream tools.
- Surfaces upstream errors as a clean `error` record instead of crashing.
- Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.
> ๐ก **Why it matters:** the source is public but its format is not analyst friendly. This actor returns a flat, tool-ready dataset.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
latitude
string
No
Decimal degrees.
longitude
string
No
Decimal degrees.
altitude
integer
No
Optional altitude in meters.
maxItems
integer
No
Free 10, paid up to 1,000,000.
**Example 1:**
```json
{ "latitude": "59.9139", "longitude": "10.7522", "maxItems": 48 }
````
**Example 2:**
```json
{ "latitude": "40.7128", "longitude": "-74.0060", "maxItems": 24 }
```
> โ ๏ธ **Good to Know:** the upstream source enforces its own rate limits. Heavy pulls should be spread across runs.
### ๐ Output
Each record is a flat object. `error` is always last.
| Field | Type | Description |
|---|---|---|
| ๐ `latitude` | number | Latitude |
| ๐ `longitude` | number | Longitude |
| ๐ `time` | string | ISO timestamp |
| ๐ก๏ธ `temperature` | number | Air temperature in C |
| ๐จ `wind_speed` | number | Wind speed m/s |
| ๐งญ `wind_direction` | number | Wind from direction degrees |
| ๐ง `humidity` | number | Relative humidity percent |
| ๐ง๏ธ `precipitation` | number | Precipitation mm |
| ๐ `pressure` | number | Air pressure at sea level hPa |
| ๐ `scrapedAt` | string | When this row was fetched |
| โ `error` | string | Set if upstream returned an error |
**Sample record:**
```json
{
"latitude": 59.9139,
"longitude": 10.7522,
"time": "2026-05-29T12:00:00Z",
"temperature": 18.4,
"wind_speed": 3.2,
"wind_direction": 120,
"humidity": 52,
"precipitation": 0,
"pressure": 1015.4,
"scrapedAt": "2026-05-29T10:00:00.000Z",
"error": null
}
```
### โจ Why choose this Actor
| ๐ | Calls the fully public MET Norway API, no key. |
| ๐งน | Flattens nested forecast JSON into one row per time. |
| ๐ข | Numeric casting throughout. |
| ๐ | Works worldwide, any lat/lon. |
| ๐ | Errors surfaced as clean records. |
| ๐พ | Push to dataset, instant download. |
### ๐ How it compares to alternatives
| Approach | Setup time | Clean keys | Numeric casting | Error handling |
|---|---|---|---|---|
| Roll your own fetch | 30 min plus | โ | โ | โ |
| Manual download | hours | โ | โ | โ |
| **This Actor** | 5 sec, no install | โ | โ | โ |
### ๐ How to use
1. Click **Try for free**.
2. Fill in the input fields (defaults work for a first run).
3. Click **Start**. Your dataset is ready in seconds.
### ๐ผ Business use cases
**๐ Analytics dashboards.** Pipe to a BI tool, refresh on a schedule.
**๐ผ Internal data products.** Mirror the source into your own warehouse.
**๐ฐ Newsroom fact-checking.** Verify any number before publishing.
**๐ค ML feature engineering.** Use the clean dataset as model input.
### ๐ Automating MET Norway Weather Forecast Scraper
- **Make and Zapier**: trigger on a schedule, push to Airtable or Slack.
- **Cron schedule**: native Apify scheduler.
- **Webhooks**: receive a POST when a run finishes.
- **Pipe to BigQuery, Snowflake, Postgres**: native Apify integrations.
### ๐ Beyond business use cases
**๐ Education.** Bring real public data into classrooms.
**๐งช Personal research.** Track indicators or markets over time.
**๐ค Non-profit and open data.** Build public dashboards.
**๐งฐ Tinkering.** Prototype quickly with structured data.
### ๐ค Ask an AI assistant about this scraper
Paste this README into ChatGPT or Claude and ask it to map your workflow to the actor inputs. The schema, examples and field list above contain everything an LLM needs to design a working pipeline.
### โ Frequently Asked Questions
**โ Do I need an API key?** No, the source is fully public.
**โ Is there a rate limit?** The upstream enforces a soft limit. Avoid hammering.
**โ Can I schedule runs?** Yes, via Apify scheduler, Make, Zapier or cron.
**โ Are values cast to numbers?** Yes where applicable.
**โ How are errors handled?** Pushed as a single record with `error` populated.
**โ Is this scraping or API?** Public API or feed.
**โ Will the schema change?** Core fields are stable.
**โ Can I filter the results?** Yes, see the input schema above.
**โ What if the upstream changes?** We update the actor.
**โ What format can I download?** CSV, Excel, JSON, JSONL, XML, RSS, HTML straight from the Apify dataset UI.
### ๐ Integrate with any app
Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Global market data and FX. |
| [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. |
| [ParseForge NBA Stats Scraper](https://apify.com/parseforge/nba-stats-scraper) | Player and team stats. |
| [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Public mod metadata. |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.
***
**Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `latitude` (type: `string`):
Location latitude in decimal degrees.
## `longitude` (type: `string`):
Location longitude in decimal degrees.
## `altitude` (type: `integer`):
Optional altitude in meters above sea level.
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## Actor input object example
```json
{
"latitude": "59.9139",
"longitude": "10.7522",
"maxItems": 10
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"latitude": "59.9139",
"longitude": "10.7522",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/met-no-weather-forecast-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"latitude": "59.9139",
"longitude": "10.7522",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("parseforge/met-no-weather-forecast-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"latitude": "59.9139",
"longitude": "10.7522",
"maxItems": 10
}' |
apify call parseforge/met-no-weather-forecast-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/met-no-weather-forecast-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "MET Norway Weather Forecast Scraper",
"description": "Fetch hourly forecasts from MET Norway by latitude and longitude, returning time, temperature, wind_speed, wind_direction, humidity, precipitation, and pressure. Great for outdoor planning, marine routing, energy load forecasting, and weather aware product features worldwide.",
"version": "0.1",
"x-build-id": "AFoGfNSre7vS5yTSR"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~met-no-weather-forecast-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-met-no-weather-forecast-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~met-no-weather-forecast-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-met-no-weather-forecast-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~met-no-weather-forecast-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-met-no-weather-forecast-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"latitude": {
"title": "Latitude",
"type": "string",
"description": "Location latitude in decimal degrees."
},
"longitude": {
"title": "Longitude",
"type": "string",
"description": "Location longitude in decimal degrees."
},
"altitude": {
"title": "Altitude (meters)",
"type": "integer",
"description": "Optional altitude in meters above sea level."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```