# Weather Scraper — Forecasts & Historical Climate Data (`hichemdev/weather-scraper`) Actor

Get weather forecasts and historical climate data for any location worldwide: temperature, precipitation, wind, UV index, sunrise/sunset and hourly detail. Search by city or coordinates. No API key.

- **URL**: https://apify.com/hichemdev/weather-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Developer tools, Business, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 locations

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 — Forecasts & Historical Climate Data

Get **weather forecasts and historical climate data** for any location on earth — **temperature, precipitation, wind, UV index, sunrise/sunset**, plus optional **hour-by-hour** detail. Search by **city name or coordinates**. No API key, no sign-up.

### What you can do with it

- 🚚 **Logistics & delivery planning** — weather risk along routes and depots
- 🌾 **Agriculture** — rainfall and temperature tracking per field
- 🎪 **Events & hospitality** — forecast for venue locations
- ⚡ **Energy & demand forecasting** — temperature drives load
- 📊 **Research** — decades of historical archive data

### Input

| Field | Type | Description |
|-------|------|-------------|
| `locations` | array | City names, e.g. `Berlin`, `New York` — geocoded automatically. |
| `coordinates` | array | Exact `lat,lon` pairs, e.g. `52.52,13.41`. |
| `mode` | select | `forecast` (up to 16 days) or `historical` archive. |
| `forecastDays` | integer | Days ahead (1–16). |
| `startDate` / `endDate` | string | `YYYY-MM-DD` — historical mode. |
| `temperatureUnit` / `windSpeedUnit` | select | Celsius/Fahrenheit, km/h, mph, m/s, knots. |
| `includeHourly` | boolean | Add hourly temperature, humidity, precipitation, wind. |

#### Example

```json
{ "locations": ["Berlin", "New York", "Tokyo"], "mode": "forecast", "forecastDays": 7 }
```

### Output

```json
{
  "location": "Berlin",
  "country": "Germany",
  "latitude": 52.52,
  "longitude": 13.41,
  "timezone": "Europe/Berlin",
  "currentTemperature": 19.5,
  "currentWeatherDescription": "Slight rain",
  "daily": [
    {
      "date": "2026-08-21",
      "temperature_2m_max": 25.1,
      "temperature_2m_min": 14.4,
      "precipitation_sum": 0.7,
      "windspeed_10m_max": 18.4,
      "uv_index_max": 5.6,
      "sunrise": "2026-08-21T06:04",
      "sunset": "2026-08-21T20:23",
      "weatherDescription": "Slight rain"
    }
  ]
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- Powered by the **Open-Meteo** public API — free, no key, and very reliable.
- Weather codes are translated into plain-English descriptions (`weatherDescription`).
- Historical mode needs both `startDate` and `endDate`.

# Actor input Schema

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

City or place names, e.g. "Berlin", "New York", "Tokyo". Resolved to coordinates automatically.

## `coordinates` (type: `array`):

Exact coordinates as "latitude,longitude", e.g. "52.52,13.41". Used in addition to the locations above.

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

Forecast (up to 16 days ahead) or historical archive data.

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

How many days ahead to forecast (1-16). Forecast mode only.

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

Historical mode only. Format YYYY-MM-DD.

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

Historical mode only. Format YYYY-MM-DD.

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

Unit for temperature values.

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

Unit for wind speed values.

## `timezone` (type: `string`):

Timezone for the results, e.g. "auto", "Europe/Berlin", "America/New\_York".

## `includeHourly` (type: `boolean`):

Also return hour-by-hour temperature, humidity, precipitation and wind.

## `proxyConfiguration` (type: `object`):

Optional. The Open-Meteo API is public and works without a proxy.

## Actor input object example

```json
{
  "locations": [
    "Berlin",
    "New York"
  ],
  "coordinates": [],
  "mode": "forecast",
  "forecastDays": 7,
  "temperatureUnit": "celsius",
  "windSpeedUnit": "kmh",
  "timezone": "auto",
  "includeHourly": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped items as JSON.

## `overview` (type: `string`):

Browse results in the Apify Console.

# 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": [
        "Berlin",
        "New York"
    ],
    "coordinates": [],
    "forecastDays": 7,
    "startDate": "",
    "endDate": "",
    "timezone": "auto"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/weather-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": [
        "Berlin",
        "New York",
    ],
    "coordinates": [],
    "forecastDays": 7,
    "startDate": "",
    "endDate": "",
    "timezone": "auto",
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "Berlin",
    "New York"
  ],
  "coordinates": [],
  "forecastDays": 7,
  "startDate": "",
  "endDate": "",
  "timezone": "auto"
}' |
apify call hichemdev/weather-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hichemdev/weather-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/rJ8yat2rx5QHatEf9/builds/lrKwHf3wQIHo7NwQy/openapi.json