import http.client

conn = http.client.HTTPSConnection("carbonsutra1.p.rapidapi.com")

payload = "country_code=IN&city_name=MUMBAI&hotel_rating=4&number_of_nights=3&number_of_rooms=1"

headers = {
    'content-type': "application/x-www-form-urlencoded",
    'Authorization': "Bearer <AUTHORIZATION_TOKEN>",
    'X-RapidAPI-Key': "<AUTHORIZATION_KEY>",
    'X-RapidAPI-Host': "carbonsutra1.p.rapidapi.com"
    }

conn.request("POST", "/hotel_estimate", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

{
  "data": {
    "type": "estimate-hotel-stay",
    "country": "India",
    "city_name": "Mumbai",
    "hotel_rating": "4",
    "number_of_nights": "3",
    "number_of_rooms": "1",
    "co2e_gm": 182160,
    "co2e_kg": 182.16,
    "co2e_mt": 0.18,
    "co2e_lb": 401.59,
    "explanation": "CarbonSutra uses the Cornell Hotel Sustainability Benchmarking Index 2026 (CHSB2026) for this calculation, specifically leveraging the mean value from the CHSB validity test for Measure 1 - HCMI Room Night Emission (Carbon Category). Because specific emission factors for Mumbai are unlisted in CHSB2026, fallback data for India has been applied to this calculation of one room and 3 nights. This methodology relies on the Expedia Star Rating classification system. Where regional data gaps exist, proxy assignments are made according to the transparent governance rules published on carbonsutra.com. For the hotel rating of four stars, an emission factor of 60.72 kgCO2e per room night is used. This footprint evaluates to 182,160 grams of CO2e. Standardized unit conversions render this as 182.16 kg (rounded to two decimal places) or 0.18 metric tons. Scaled against imperial baselines using the conversion factor of 2.20462 (source: GHG conversion factors, 2026), the final metric is expressed as 401.59 lbs. "
  },
  "success": true,
  "status": 200
}