# Weather Scraper: Forecast, Current & History (`scrapemint/weather-forecast-scraper`) Actor

Get weather for any place on Earth by city name or coordinates: live conditions, a multi-day forecast, and decades of historical daily weather. Temperature, rain, wind, humidity, UV, sunrise and sunset in one clean row per location or day. No API key.

- **URL**: https://apify.com/scrapemint/weather-forecast-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business, Other
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$2.00 / 1,000 weather rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Weather Scraper: Forecast, Current & History

Weather for anywhere on Earth - no API key, no login, no rate-limit headaches. Give it city names or coordinates and get live conditions, a multi-day forecast, or decades of historical daily weather, one clean row per location or per day.

Data comes from [Open-Meteo](https://open-meteo.com), a free open weather API, credited as the source.

### Three modes

- **Current** - live conditions now: temperature, feels-like, humidity, precipitation, cloud cover, pressure, wind speed/gusts/direction. One row per location.
- **Forecast** - up to 16 days ahead: daily high/low, condition, rain amount and probability, max wind, UV index, sunrise and sunset. One row per day.
- **History** - daily weather back to 1940 between any two dates. One row per day.

### Example input

```json
{
    "locations": ["Nairobi", "London", "New York", "40.71,-74.01"],
    "mode": "forecast",
    "forecastDays": 7,
    "temperatureUnit": "celsius"
}
```

Locations accept plain city names ("Paris, France", "Austin TX") or `latitude,longitude`. Pick Celsius or Fahrenheit and km/h, mph, m/s or knots. Each row echoes the resolved place name, country, region and coordinates so it stands on its own.

### Who uses this

- **Anyone, anywhere** - the weather where you are or where you are going.
- **Logistics and delivery** - forecast and conditions along routes and at destinations.
- **Agriculture** - historical rainfall and temperature, and the days ahead.
- **Events, travel and hospitality** - plan around the forecast for many locations at once.
- **Energy, insurance and analytics** - decades of historical daily weather as structured data for models.
- **Developers** - a clean weather feed for apps and dashboards without managing a key.

### Pricing

A small fee per row (one per location in current mode, one per day in forecast and history). Locations that cannot be found and invalid dates are free note rows, and the first 2 rows of every run are free.

### Notes

- Weather codes follow the WMO standard and are translated to plain language ("Partly cloudy", "Heavy rain", "Thunderstorm").
- Times are returned in each location's own local timezone.
- Source: Open-Meteo, which blends national weather-service models worldwide.

# Actor input Schema

## `locations` (type: `array`):

Places to get weather for, one per line. Accepts city names ("Nairobi", "Paris, France", "Austin TX") or coordinates ("40.71,-74.01").

## `mode` (type: `string`):

Current = live conditions now (one row per location). Forecast = one row per upcoming day. History = one row per past day between the dates below.

## `forecastDays` (type: `integer`):

For forecast mode: how many days ahead (up to 16).

## `startDate` (type: `string`):

For history mode: first day (YYYY-MM-DD). Data goes back to 1940.

## `endDate` (type: `string`):

For history mode: last day (YYYY-MM-DD).

## `temperatureUnit` (type: `string`):

Celsius or Fahrenheit.

## `windSpeedUnit` (type: `string`):

Units for wind speed.

## `maxRows` (type: `integer`):

Stop after this many rows in total.

## Actor input object example

```json
{
  "locations": [
    "Nairobi",
    "London",
    "New York"
  ],
  "mode": "forecast",
  "forecastDays": 7,
  "temperatureUnit": "celsius",
  "windSpeedUnit": "kmh",
  "maxRows": 2000
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "locations": [
        "Nairobi",
        "London",
        "New York"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/weather-forecast-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});

// 📚 Want to learn more 📖? Go to → 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "locations": [
        "Nairobi",
        "London",
        "New York",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/weather-forecast-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "locations": [
    "Nairobi",
    "London",
    "New York"
  ]
}' |
apify call scrapemint/weather-forecast-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapemint/weather-forecast-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3zXVUJ8gx7aGcNUgW/builds/LhR6fk6lgWOkX5dHe/openapi.json