API Documentation

Overview

The AtmoSpore API provides real-time and forecast pollen data for locations worldwide. Data is updated daily and includes forecasts up to 7 days into the future. Our forecasts are continuously refined as the target date approaches, ensuring the highest possible accuracy.

Updates daily

7-day forecast

Global coverage

Big catalog of modelled species

API Tester

Build an API-request by selecting from the properties below:

Select the Query parameters for the request, location, time and forecast days
Select the species you want to query for results
Finally attach your API-key as an Authorization header

GET https://pollenapi.com/v1/pollen?lon=10.7522&lat=59.913868&dt=2025-06-24&forecast_days=1

Query Parameters

Parameter	Type	Description
lon *	number	Longitude coordinate
lat *	number	Latitude coordinate
dt *	string	Date (YYYY-MM-DD)
forecast_days *	number	Number of days to include in forecast
species *	string	Pollen species identifier

Available Pollen Species Options

(Click to add to request, at least one required)

grass_tot

Grass Pollen

birch

Birch Pollen

hazel

Hazel Pollen

alder

Alder Pollen

pine

Pine Pollen

spruce

Spruce Pollen

elm

Elm Pollen

salix

Salix Pollen

urtica

Urtica Pollen

artemisia

Artemisia Pollen

oak

Oak Pollen

Headers

Header	Value	Description
x-api-key		You find your API keys in Your account settings.
accept		Accept JSON response"

Example Request & Response

Request

curl "https://pollenapi.com/v1/pollen?lon=-0.127758&lat=51.507351&dt=2024-03-20T12:00:00Z&forecast_days=4&species=grass,birch,hazel" \
  -H "x-api-key: Bearer YOUR_API_KEY"

Response

{
  "location": {
    "longitude": -0.127758,
    "latitude": 51.507351
  },
  "forecast": [
    {
      "date": "2024-03-20",
      "pollen_levels": {
        "grass_tot": {
          "value": 3.2,
          "units": "grains/m³",
          "risk_level": "moderate"
        },
        "birch": {
          "value": 4.1,
          "units": "grains/m³",
          "risk_level": "high"
        },
        "hazel": {
          "value": 1.0,
          "units": "grains/m³",
          "risk_level": "low"
        }
      }
    },
    {
      "date": "2024-03-21",
      "pollen_levels": {
        "grass_tot": {
          "value": 3.5,
          "units": "grains/m³",
          "risk_level": "moderate"
        },
        "birch": {
          "value": 4.3,
          "units": "grains/m³",
          "risk_level": "high"
        },
        "hazel": {
          "value": 1.2,
          "units": "grains/m³",
          "risk_level": "low"
        }
      }
    }
  ],
  "last_updated": "2024-03-20T12:00:00Z"
}

Example Use Cases

Health Apps

Integrate real-time pollen data into health and wellness applications to help users manage allergies and plan outdoor activities.

View Case Study →

Smart Home Systems

Automate air purification systems based on local pollen levels to maintain optimal indoor air quality.

View Case Study →

Education

Enhance biology education by integrating real-time data for teaching about plant life cycles and environmental science.

View Case Study →

Ready to get started?

View Plans