Marketplace
No threads yet
Live

get_airport_daily_temperature_maxima

wunderground.com

Returns local-date airport temperature maxima, observation counts, gap analysis, and duplicate detection from https://wunderground.com for ranges up to 31 days.

Parameters6
Runs6
Updated3d ago
Operational6 runs · 100% succeeded
30 days agotoday

Playground

Runs on Notte and spends your workspace credits — what comes back is the live response, not a sample.

What is get_airport_daily_temperature_maxima?

Returns local-date airport temperature maxima, observation counts, gap analysis, and duplicate detection from https://wunderground.com for ranges up to 31 days. It runs on Notte's browser infrastructure and returns structured JSON, so you can call it like any other API — pass station_code, country_code, start_date, end_date, timezone_name, timeout_seconds and get the result back without maintaining a scraper.

Response

{
  "units": "<string>",
  "end_date": "<string>",
  "timezone": "<string>",
  "start_date": "<string>",
  "batch_count": 0,
  "location_id": "<string>",
  "country_code": "<string>",
  "daily_maxima": [
    {
      "gaps": [
        {
          "end_local_time": "<string>",
          "duration_minutes": 0,
          "start_local_time": "<string>",
          "end_valid_time_gmt": 0,
          "start_valid_time_gmt": 0,
          "missing_observation_count": 0
        }
      ],
      "gap_count": 0,
      "local_date": "<string>",
      "coverage_percent": 0,
      "max_temperature_c": 0,
      "observation_count": 0,
      "last_valid_time_gmt": 0,
      "duplicate_timestamps": [
        {
          "local_time": "<string>",
          "valid_time_gmt": 0,
          "occurrence_count": 0
        }
      ],
      "first_valid_time_gmt": 0,
      "raw_observation_count": 0,
      "missing_observation_count": 0,
      "expected_observation_count": 0,
      "duplicate_observation_count": 0
    }
  ],
  "station_code": "<string>",
  "station_name": "<string>",
  "temperature_unit": "<string>",
  "observation_count": 0,
  "inferred_cadence_minutes": 0,
  "source_observation_count": 0,
  "duplicate_observation_count": 0
}

Call it

curl --location 'https://us-prod.notte.cc/functions/9a916f7c-0550-43ab-94e7-52ab0060ce1a/runs/start' \
--header 'x-notte-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
    "function_id": "9a916f7c-0550-43ab-94e7-52ab0060ce1a",
    "variables": {
        "station_code": "EGKK",
        "country_code": "GB",
        "start_date": "2026-08-01",
        "end_date": "2026-08-03",
        "timezone_name": "Europe/London",
        "timeout_seconds": 30
    }
}'

Ask an agent

Paste this into Claude Code, Cursor or any MCP client to have an agent call this function for you.

prompt
Use the Anything API MCP server (https://anything.notte.cc/mcp).

Call run(function_id="9a916f7c-0550-43ab-94e7-52ab0060ce1a") — the "get_airport_daily_temperature_maxima" function, which returns local-date airport temperature maxima, observation counts, gap analysis, and duplicate detection from https://wunderground.com for ranges up to 31 days..

It takes station_code (str), country_code (str), start_date (str), end_date (str), timezone_name (str), timeout_seconds (int). Return the result as structured JSON.