Pollen Forecast API

The Pollen Forecast API provides daily pollen forecasts based on specified latitude, longitude, and a 1-5 day range for various pollen types.

About the API: 

The Pollen Forecast API is invaluable for users seeking detailed information on pollen levels in specific geographic locations. Designed to provide accurate pollen forecasts, this API allows users to enter geographic parameters, such as latitude and longitude, along with a forecast interval of one to five days. In return, users receive comprehensive data on pollen types, seasonal status and health recommendations to effectively manage allergy symptoms.

By making a request to the Pollen Forecast API, users can expect a structured response with daily pollen information for the specified location. Each response includes details about the date, the different types of pollen prevalent in that area and relevant health recommendations based on the reported pollen levels. This information is crucial for allergy sufferers as it helps them prepare for outdoor activities and proactively manage their symptoms.

In addition to pollen type information, the API provides a Universal Pollen Index (UPI), which consolidates data on various pollen types into a single index. This index is ranked to indicate the level of allergy risk, allowing users to quickly gauge their exposure risk. For example, a very low UPI value suggests minimal pollen presence, indicating that it may be a good day for outdoor activities. Conversely, a high UPI indicates significant pollen levels, which could trigger allergy symptoms in sensitive individuals.

API Documentation

Endpoints


To use this endpoint you must indicate a latitude longitude and the number of days forecast (you can choose a number between 1 and 5 maximum).



                                                                            
GET https://zylalabs.com/api/5235/pollen+forecast+api/6710/pollen+data
                                                                            
                                                                        

Pollen Data - Endpoint Features

Object Description
location.longitude [Required] Indicates a longitude.
location.latitude [Required] Indicates a latitude.
days [Required] Indicates a forecast value of days (1 to 5)
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
  "dailyInfo": [
    {
      "date": {
        "year": 2024,
        "month": 10,
        "day": 15
      },
      "pollenTypeInfo": [
        {
          "code": "GRASS",
          "displayName": "Grass",
          "inSeason": false,
          "indexInfo": {
            "code": "UPI",
            "displayName": "Universal Pollen Index",
            "value": 1,
            "category": "Very Low",
            "indexDescription": "People with very high allergy to pollen are likely to experience symptoms",
            "color": {
              "green": 0.61960787,
              "blue": 0.22745098
            }
          },
          "healthRecommendations": [
            "Pollen levels are very low right now. It's a great day to enjoy the outdoors!"
          ]
        },
        {
          "code": "TREE",
          "displayName": "Tree"
        },
        {
          "code": "WEED",
          "displayName": "Weed",
          "inSeason": true,
          "indexInfo": {
            "code": "UPI",
            "displayName": "Universal Pollen Index",
            "value": 1,
            "category": "Very Low",
            "indexDescription": "People with very high allergy to pollen are likely to experience symptoms",
            "color": {
              "green": 0.61960787,
              "blue": 0.22745098
            }
          },
          "healthRecommendations": [
            "Pollen levels are very low right now. It's a great day to enjoy the outdoors!"
          ]
        }
      ],
      "plantInfo": [
        {
          "code": "BIRCH",
          "displayName": "Birch"
        },
        {
          "code": "OLIVE",
          "displayName": "Olive"
        },
        {
          "code": "GRAMINALES",
          "displayName": "Grasses",
          "inSeason": false,
          "indexInfo": {
            "code": "UPI",
            "displayName": "Universal Pollen Index",
            "value": 1,
            "category": "Very Low",
            "indexDescription": "People with very high allergy to pollen are likely to experience symptoms",
            "color": {
              "green": 0.61960787,
              "blue": 0.22745098
            }
          },
          "plantDescription": {
            "type": "GRASS",
            "family": "Poaceae",
            "season": "Late spring, summer",
            "specialColors": "None",
            "specialShapes": "The leaves are alternate, long and narrow and the leaf margin is smooth.",
            "crossReaction": "Plantain (Plantago) pollen. In addition, there may be a higher risk for food allergies like melons, oranges, tomatoes, peanuts, soy, potato, and other legumes.",
            "picture": "https://storage.googleapis.com/pollen-pictures/graminales_full.jpg",
            "pictureCloseup": "https://storage.googleapis.com/pollen-pictures/graminales_closeup.jpg"
          }
        },
        {
          "code": "RAGWEED",
          "displayName": "Ragweed"
        },
        {
          "code": "ALDER",
          "displayName": "Alder"
        },
        {
          "code": "MUGWORT",
          "displayName": "Mugwort",
          "inSeason": true,
          "indexInfo": {
            "code": "UPI",
            "displayName": "Universal Pollen Index",
            "value": 1,
            "category": "Very Low",
            "indexDescription": "People with very high allergy to pollen are likely to experience symptoms",
            "color": {
              "green": 0.61960787,
              "blue": 0.22745098
            }
          },
          "plantDescription": {
            "type": "WEED",
            "family": "Asteraceae (the daisy family)",
            "season": "Late summer, fall",
            "specialColors": "The leaves are green on the upper side and gray-green on the lower side.",
            "specialShapes": "The leaves are alternate, divided and pinnate.",
            "crossReaction": "Ragweed and Goldenrod pollen as well as daisies such as Sunflower, Dandelion and Chamomile. In addition, there may be a higher risk for food allergies like mustard, peach, celery and various herbs and spices.",
            "picture": "https://storage.googleapis.com/pollen-pictures/mugwort_full.jpg",
            "pictureCloseup": "https://storage.googleapis.com/pollen-pictures/mugwort_closeup.jpg"
          }
        }
      ]
    }
  ]
}
                                                                                                                                                                                                                    
                                                                                                    

Pollen Data - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/5235/pollen+forecast+api/6710/pollen+data?location.longitude=35.31&location.latitude=32.36&days=1' --header 'Authorization: Bearer YOUR_API_KEY' 


    

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 Pollen Forecast API REST 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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Pollen Forecast API FAQs

To use this API users must indicate coordinates such as latitude and longitude and the number of forecast days they wish to obtain from 1 to 5.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

The API receives latitude, longitude, and a forecast range (1-5 days) and provides detailed pollen information, including types, levels, and health recommendations.

Besides the number of API calls per month, there are no other limitations.

The Pollen Forecast API provides real-time pollen data, including forecasts, types, levels, and health recommendations based on geographical location.

The API returns daily pollen forecasts, including pollen types, their seasonal status, Universal Pollen Index (UPI) values, and health recommendations based on pollen levels for specified geographic coordinates.

Key fields include "date" (year, month, day), "pollenTypeInfo" (code, displayName, inSeason), "indexInfo" (code, displayName, value, category), and "healthRecommendations" which provide actionable advice based on pollen levels.

The response is structured as a JSON object containing an array of "dailyInfo," where each entry includes date and detailed pollen type information, allowing users to easily access daily forecasts.

The API provides information on various pollen types (e.g., grass, tree, weed), their seasonal status, UPI values indicating allergy risk, and health recommendations tailored to the pollen levels.

Users can customize requests by specifying latitude, longitude, and the number of forecast days (1-5), allowing for tailored pollen forecasts based on their location and needs.

The data is sourced from meteorological and environmental monitoring systems, ensuring that pollen forecasts are based on real-time observations and historical patterns for accuracy.

Typical use cases include helping allergy sufferers plan outdoor activities, informing health professionals about pollen levels, and assisting researchers in studying pollen-related health impacts.

Users can analyze the UPI values to gauge allergy risk, follow health recommendations to manage symptoms, and track pollen types to prepare for specific allergy triggers based on the forecasted data.

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