Global Weather Forecast and Climate Scraper API

API ID 14188

Extract daily weather forecasts, max/min temperatures, precipitation totals, wind speeds, and precipitation probabilities across cities worldwide without API keys.

API Documentation

Endpoints

Request
The "Execute Global Weather Forecast and Climate Scraper API" endpoint is designed to provide real-time and historical weather data along with climate analysis from multiple global sources. By aggregating and processing information on temperature, precipitation, humidity, and wind patterns, the endpoint returns a comprehensive dataset that includes current weather conditions, forecasts for the coming days, and climate statistics over customizable timeframes. This API is particularly useful for applications in sectors such as agriculture for planning crop cycles, tourism for optimal travel arrangements, and environmental research for studying climate change trends, enabling users to make informed decisions based on reliable weather and climate data.
Endpoint ID: 35243
POST https://zylalabs.com/api/14188/global+weather+forecast+and+climate+scraper+api/35243/execute+global+weather+forecast+and+climate+scraper+api
INPUT PARAMETERS

Execute Global Weather Forecast and Climate Scraper API — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
[
    {
        "id": "open-meteo-weather-api_1000",
        "service": "open-meteo-weather-api",
        "title": "OPEN METEO WEATHER Record #1",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for open-meteo-weather-api",
        "inputReceived": {
            "locations": [
                "New York",
                "London",
                "Tokyo",
                "Paris",
                "Sydney"
            ],
            "forecastDays": 7,
            "temperatureUnit": "celsius"
        },
        "data": {
            "index": 1,
            "relevanceScore": 0.95,
            "summary": "High-fidelity structured response for OPEN METEO WEATHER query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPEN",
                "timestamp": "2026-10-12T11:12:14.725Z"
            }
        },
        "timestamp": "2026-10-12T11:12:14.725Z"
    },
    {
        "id": "open-meteo-weather-api_1001",
        "service": "open-meteo-weather-api",
        "title": "OPEN METEO WEATHER Record #2",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for open-meteo-weather-api",
        "inputReceived": {
            "locations": [
                "New York",
                "London",
                "Tokyo",
                "Paris",
                "Sydney"
            ],
            "forecastDays": 7,
            "temperatureUnit": "celsius"
        },
        "data": {
            "index": 2,
            "relevanceScore": 0.8999999999999999,
            "summary": "High-fidelity structured response for OPEN METEO WEATHER query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPEN",
                "timestamp": "2026-10-12T11:12:14.725Z"
            }
        },
        "timestamp": "2026-10-12T11:12:14.725Z"
    },
    {
        "id": "open-meteo-weather-api_1002",
        "service": "open-meteo-weather-api",
        "title": "OPEN METEO WEATHER Record #3",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for open-meteo-weather-api",
        "inputReceived": {
            "locations": [
                "New York",
                "London",
                "Tokyo",
                "Paris",
                "Sydney"
            ],
            "forecastDays": 7,
            "temperatureUnit": "celsius"
        },
        "data": {
            "index": 3,
            "relevanceScore": 0.85,
            "summary": "High-fidelity structured response for OPEN METEO WEATHER query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPEN",
                "timestamp": "2026-10-12T11:12:14.725Z"
            }
        },
        "timestamp": "2026-10-12T11:12:14.725Z"
    },
    {
        "id": "open-meteo-weather-api_1003",
        "service": "open-meteo-weather-api",
        "title": "OPEN METEO WEATHER Record #4",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for open-meteo-weather-api",
        "inputReceived": {
            "locations": [
                "New York",
                "London",
                "Tokyo",
                "Paris",
                "Sydney"
            ],
            "forecastDays": 7,
            "temperatureUnit": "celsius"
        },
        "data": {
            "index": 4,
            "relevanceScore": 0.7999999999999999,
            "summary": "High-fidelity structured response for OPEN METEO WEATHER query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPEN",
                "timestamp": "2026-10-12T11:12:14.725Z"
            }
        },
        "timestamp": "2026-10-12T11:12:14.725Z"
    },
    {
        "id": "open-meteo-weather-api_1004",
        "service": "open-meteo-weather-api",
        "title": "OPEN METEO WEATHER Record #5",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for open-meteo-weather-api",
        "inputReceived": {
            "locations": [
                "New York",
                "London",
                "Tokyo",
                "Paris",
                "Sydney"
            ],
            "forecastDays": 7,
            "temperatureUnit": "celsius"
        },
        "data": {
            "index": 5,
            "relevanceScore": 0.75,
            "summary": "High-fidelity structured response for OPEN METEO WEATHER query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPEN",
                "timestamp": "2026-10-12T11:12:14.725Z"
            }
        },
        "timestamp": "2026-10-12T11:12:14.725Z"
    }
]
Execute Global Weather Forecast and Climate Scraper API — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/14188/global+weather+forecast+and+climate+scraper+api/35243/execute+global+weather+forecast+and+climate+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"locations":["New York","London","Tokyo","Paris","Sydney"],"forecastDays":7,"temperatureUnit":"celsius"}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Global Weather Forecast and Climate Scraper API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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(Save 2 months with annual billing 🎉)

Starts at
$10,000/Year


  • Custom Volume
  • Custom Rate Limit
  • Specialized Customer Support
  • Real-Time API Monitoring

Overview

Extract daily weather forecasts, max/min temperatures, precipitation totals, wind speeds, and precipitation probabilities across cities worldwide without API keys.

Global Weather Forecast and Climate Scraper API FAQs

The API returns real-time and historical weather data, including daily forecasts, maximum and minimum temperatures, precipitation totals, wind speeds, and precipitation probabilities for various cities worldwide.

Key fields in the response include "id," "service," "status," "result," "inputReceived," "data," and "timestamp." Each field provides specific information about the weather query and its results.

The response data is structured as a JSON array containing objects for each location queried. Each object includes metadata about the query and detailed weather data, allowing for easy parsing and analysis.

Users can customize their requests using parameters such as "locations" (cities), "forecastDays" (number of days for the forecast), and "temperatureUnit" (Celsius or Fahrenheit) to tailor the data to their needs.

The endpoint provides information on current weather conditions, daily forecasts, and climate statistics, including temperature, precipitation, humidity, and wind patterns, making it versatile for various applications.

The API aggregates data from multiple global sources, ensuring a comprehensive dataset. The exact sources may vary, but they are selected for reliability and accuracy in weather reporting.

Typical use cases include agriculture for planning crop cycles, tourism for optimal travel arrangements, and environmental research for studying climate change trends, enabling informed decision-making based on weather data.

Users can analyze the structured response to extract relevant weather information for their applications, such as displaying forecasts, monitoring climate trends, or integrating data into decision-making tools for various sectors.

General FAQs

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