whoop 1.0.1

Python client for the WHOOP API v2 with OAuth2 support.

WHOOP for Python

Python client for the WHOOP API v2 with OAuth2 support.

WHOOP is a wearable strap for monitoring sleep, activity, and workouts. Learn more about WHOOP at https://www.whoop.com.

WHOOP API documentation can be found at https://developer.whoop.com/api.

Contents

• Installation
• Getting Started
• Migration From Pre-1.0
• API Requests
  • Get Activity Mapping
  • Get Profile
  • Get Body Measurement
  • Get Cycle By ID
  • Get Cycle Collection
  • Get Recovery For Cycle
  • Get Sleep For Cycle
  • Get Recovery Collection
  • Get Sleep By ID
  • Get Sleep Collection
  • Get Sleep Stream
  • Get Workout By ID
  • Get Workout Collection
• Usage With DataFrame

Installation

The whoop module can be installed via pip:

pip install whoop

Getting Started

This client uses WHOOP's official OAuth2 authorization-code flow against the WHOOP v2 API.

Register an app

Before you can authenticate, you must register an application in the WHOOP Developer Dashboard. Registration gives you a client_id and client_secret, and lets you register one or more redirect URIs.

The redirect URI must use an https:// or whoop:// scheme — plain http://localhost is not accepted. A value like https://localhost:8080/whoop/callback works for local development.

It is best practice to store these values in a .env file:

# WHOOP app credentials
CLIENT_ID="<CLIENT_ID>"
CLIENT_SECRET="<CLIENT_SECRET>"
REDIRECT_URI="<REDIRECT_URI>"

You can use python-dotenv to load the environment variables for use in code:

import os
from dotenv import load_dotenv

load_dotenv()

client_id = os.getenv("CLIENT_ID") or ""
client_secret = os.getenv("CLIENT_SECRET") or ""
redirect_uri = os.getenv("REDIRECT_URI") or ""

Authorize a new client

Constructing a WhoopClient does not make any network requests. To authorize a brand-new client, build the authorization URL, send the user there to grant access, then exchange the authorization code returned on the redirect:

from whoop import WhoopClient

client = WhoopClient(client_id, client_secret, redirect_uri)

# Send the user to this URL to grant access. After they consent, WHOOP redirects
# them to your redirect_uri with an authorization code in the query string.
url, state = client.authorization_url()
print(url)

# Exchange the code for a token. Pass either the full redirect URL the user
# landed on, or the bare code extracted from it.
client.fetch_token(authorization_response=input("Redirect URL: "))
# client.fetch_token(code="<authorization code>")

Reuse a saved token (headless)

The constructor also accepts a previously fetched token, which skips the interactive consent flow entirely. The current token is available via the .token property:

saved_token = client.token  # persist this somewhere

# Later, in a headless process:
client = WhoopClient(client_id, client_secret, token=saved_token)

Tokens auto-refresh as long as you request the offline scope (included by default — see Scopes). To persist rotated tokens, pass an on_token_refresh callback that is invoked with the new token whenever a refresh occurs:

def save_token(token):
    ...  # write token to disk, a database, etc.

client = WhoopClient(
    client_id,
    client_secret,
    token=saved_token,
    on_token_refresh=save_token,
)

You can check whether a client holds a token with client.is_authenticated(). The client also works as a context manager, which closes the underlying session on exit:

with WhoopClient(client_id, client_secret, token=saved_token) as client:
    ...

Scopes

By default the client requests every read scope plus offline (required for token refresh). Pass a custom scopes list to narrow the request:

client = WhoopClient(
    client_id, client_secret, redirect_uri, scopes=["read:sleep", "offline"]
)

The default scopes are:

• read:profile
• read:body_measurement
• read:cycles
• read:recovery
• read:sleep
• read:workout
• offline

Note WHOOP's mixed pluralization: read:cycles is plural while read:workout is singular.

Migration From Pre-1.0

Version 1.0 removes the legacy username/password flow and uses WHOOP's official OAuth2 authorization-code flow instead.

• Replace WhoopClient(username, password) with WhoopClient(client_id, client_secret, redirect_uri).
• Replace eager constructor authentication and authenticate() calls with authorization_url() plus fetch_token(...).
• Persist client.token after authorization and pass it back with WhoopClient(client_id, client_secret, token=saved_token) for headless use.
• Use get_activity_mapping(...) to look up a v2 UUID for a stored v1 activity ID.
• Request the default offline scope, or include it in custom scopes, if you need refresh-token based auto-refresh.

API Requests

There are thirteen different API requests that WhoopClient can make. Full WHOOP API documentation can be found on WHOOP's website.

Get Activity Mapping

Look up the V2 UUID for a legacy V1 activity ID.

Method: get_activity_mapping(activity_v1_id: int)

Payload:

• activityV1Id: Legacy V1 activity ID. Passed into the request path.

Example Response:

{
    "v2_activity_id": "ecfc6a15-4661-442f-a9a4-f160dd7afae8"
}

Get Profile

Get the user's basic profile.

Method: get_profile()

Payload: None

Example Response:

{
    "user_id": 10129,
    "email": "[e-mail]",
    "first_name": "John",
    "last_name": "Smith"
}

Get Body Measurement

Get the user's body measurements.

Method: get_body_measurement()

Payload: None

Example Response:

{
    "height_meter": 1.8288,
    "weight_kilogram": 90.7185,
    "max_heart_rate": 200
}

Get Cycle By ID

Get the cycle for the specified ID.

Method: get_cycle_by_id(cycle_id: int)

Payload:

• cycle_id: ID of the cycle to retrieve. Passed into the request path.

Example Response:

{
    "id": 93845,
    "user_id": 10129,
    "created_at": "2022-04-24T11:25:44.774Z",
    "updated_at": "2022-04-24T14:25:44.774Z",
    "start": "2022-04-24T02:25:44.774Z",
    "end": "2022-04-24T10:25:44.774Z",
    "timezone_offset": "-05:00",
    "score_state": "SCORED",
    "score": {
        "strain": 5.2951527,
        "kilojoule": 8288.297,
        "average_heart_rate": 68,
        "max_heart_rate": 141
    }
}

Get Cycle Collection

Get all physiological cycles for a user. Results are sorted by start time in descending order.

Method: get_cycle_collection(start_date: str | None = None, end_date: str | None = None)

Payload:

• start: The earliest time for which to get data, derived from the start_date parameter. Returns cycles that occurred after or during (inclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to six days before today (a trailing seven-day window).
• end: The latest time for which to get data, derived from the end_date parameter. Returns cycles that intersect this time or ended before (exclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to today's date.

Example Response:

[
    {
        "id": 93845,
        "user_id": 10129,
        "created_at": "2022-04-24T11:25:44.774Z",
        "updated_at": "2022-04-24T14:25:44.774Z",
        "start": "2022-04-24T02:25:44.774Z",
        "end": "2022-04-24T10:25:44.774Z",
        "timezone_offset": "-05:00",
        "score_state": "SCORED",
        "score": {
            "strain": 5.2951527,
            "kilojoule": 8288.297,
            "average_heart_rate": 68,
            "max_heart_rate": 141
        }
    },
    ...
]

Get Recovery For Cycle

Get the recovery for a cycle

Method: get_recovery_for_cycle(cycle_id: int)

Payload:

• cycle_id: ID of the cycle to retrieve. Passed into the request path.

Example Response:

 {
    "cycle_id": 93845,
    "sleep_id": "ee9e6759-2cd8-4317-bc44-0a0bc59a6f1f",
    "user_id": 10129,
    "created_at": "2022-04-24T11:25:44.774Z",
    "updated_at": "2022-04-24T14:25:44.774Z",
    "score_state": "SCORED",
    "score": {
        "user_calibrating": False,
        "recovery_score": 44,
        "resting_heart_rate": 64,
        "hrv_rmssd_milli": 31.813562,
        "spo2_percentage": 95.6875,
        "skin_temp_celsius": 33.7
    }
}

Get Sleep For Cycle

Get the sleep associated with the specified cycle ID.

Method: get_sleep_for_cycle(cycle_id: int)

Payload:

• cycle_id: ID of the cycle to retrieve sleep for. Passed into the request path.

Example Response:

{
    "id": "5c060dd1-975d-4544-880c-3def81bdfb0d",
    "cycle_id": 93845,
    "user_id": 10129,
    "created_at": "2022-04-24T11:25:44.774Z",
    "updated_at": "2022-04-24T14:25:44.774Z",
    "start": "2022-04-24T02:25:44.774Z",
    "end": "2022-04-24T10:25:44.774Z",
    "timezone_offset": "-05:00",
    "nap": False,
    "score_state": "SCORED",
    "score": {
        "stage_summary": {},
        "sleep_needed": {},
        "respiratory_rate": 16.11328125,
        "sleep_performance_percentage": 98,
        "sleep_consistency_percentage": 90,
        "sleep_efficiency_percentage": 91.69533848
    }
}

Get Recovery Collection

Get all recoveries for a user. Results are sorted by start time of the related sleep in descending order.

Method: get_recovery_collection(start_date: str | None = None, end_date: str | None = None)

Payload:

• start: The earliest time for which to get data, derived from the start_date parameter. Returns recoveries that occurred after or during (inclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to six days before today (a trailing seven-day window).
• end: The latest time for which to get data, derived from the end_date parameter. Returns recoveries that intersect this time or ended before (exclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to today's date.

Example Response:

[
    {
        "cycle_id": 93845,
        "sleep_id": "ee9e6759-2cd8-4317-bc44-0a0bc59a6f1f",
        "user_id": 10129,
        "created_at": "2022-04-24T11:25:44.774Z",
        "updated_at": "2022-04-24T14:25:44.774Z",
        "score_state": "SCORED",
        "score": {
            "user_calibrating": False,
            "recovery_score": 44,
            "resting_heart_rate": 64,
            "hrv_rmssd_milli": 31.813562,
            "spo2_percentage": 95.6875,
            "skin_temp_celsius": 33.7
        }
    },
    ...
]

Get Sleep By ID

Get the sleep for the specified ID.

Method: get_sleep_by_id(sleep_id: str)

Payload:

• sleep: ID of the sleep to retrieve. Passed into the request path.

Example Response:

{
    "id": "5c060dd1-975d-4544-880c-3def81bdfb0d",
    "user_id": 10129,
    "created_at": "2022-04-24T11:25:44.774Z",
    "updated_at": "2022-04-24T14:25:44.774Z",
    "start": "2022-04-24T02:25:44.774Z",
    "end": "2022-04-24T10:25:44.774Z",
    "timezone_offset": "-05:00",
    "nap": False,
    "score_state": "SCORED",
    "score": {
        "stage_summary": {},
        "sleep_needed": {},
        "respiratory_rate": 16.11328125,
        "sleep_performance_percentage": 98,
        "sleep_consistency_percentage": 90,
        "sleep_efficiency_percentage": 91.69533848
    }
}

Get Sleep Collection

Get all sleeps for a user. Results are sorted by start time in descending order.

Method: get_sleep_collection(start_date: str | None = None, end_date: str | None = None)

Payload:

• start: The earliest time for which to get data, derived from the start_date parameter. Returns sleeps that occurred after or during (inclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to six days before today (a trailing seven-day window).
• end: The latest time for which to get data, derived from the end_date parameter. Returns sleeps that intersect this time or ended before (exclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to today's date.

Example Response:

[
    {
        "id": "5c060dd1-975d-4544-880c-3def81bdfb0d",
        "user_id": 10129,
        "created_at": "2022-04-24T11:25:44.774Z",
        "updated_at": "2022-04-24T14:25:44.774Z",
        "start": "2022-04-24T02:25:44.774Z",
        "end": "2022-04-24T10:25:44.774Z",
        "timezone_offset": "-05:00",
        "nap": False,
        "score_state": "SCORED",
        "score": {
            "stage_summary": {},
            "sleep_needed": {},
            "respiratory_rate": 16.11328125,
            "sleep_performance_percentage": 98,
            "sleep_consistency_percentage": 90,
            "sleep_efficiency_percentage": 91.69533848
        }
    },
    ...
]

Get Sleep Stream

Get raw stream data for the specified sleep ID. Request types=["sleep_classification"] to include sleep-stage classification samples when WHOOP returns them.

Method: get_sleep_stream(sleep_id: str, types: list[str] | tuple[str, ...] | None = None)

Payload:

• sleep: ID of the sleep to retrieve stream data for. Passed into the request path.
• types: Optional stream types to request. WHOOP documents hr, skin_temp, board_temp, battery_temp, sleep_classification, and charging_status.

Example Response:

{
    "stream": [
        {
            "timestamp": "2019-08-24T14:15:22Z",
            "hr": 0,
            "skin_temp": 0.0,
            "board_temp": 0.0,
            "battery_temp": 0.0,
            "is_sleeping": True,
            "is_charging": False
        }
    ],
    "algorithm_version": "string"
}

Get Workout By ID

Get the workout for the specified ID.

Method: get_workout_by_id(workout_id: str)

Payload:

• workout_id: ID of the workout to retrieve. Passed into the request path.

Example Response:

{
    "id": "ecfc6a15-4661-442f-a9a4-f160dd7afae8",
    "user_id": 9012,
    "created_at": "2022-04-24T11:25:44.774Z",
    "updated_at": "2022-04-24T14:25:44.774Z",
    "start": "2022-04-24T02:25:44.774Z",
    "end": "2022-04-24T10:25:44.774Z",
    "timezone_offset": "-05:00",
    "sport_id": 1,
    "score_state": "SCORED",
    "score": {
        "strain": 8.2463,
        "average_heart_rate": 123,
        "max_heart_rate": 146,
        "kilojoule": 1569.34033203125,
        "percent_recorded": 100,
        "distance_meter": 1772.77035916,
        "altitude_gain_meter": 46.64384460449,
        "altitude_change_meter": -0.781372010707855,
        "zone_duration": {}
    }
}

Get Workout Collection

Get all workouts for a user. Results are sorted by start time in descending order.

Method: get_workout_collection(start_date: str | None = None, end_date: str | None = None)

Payload:

• start: The earliest time for which to get data, derived from the start_date parameter. Returns workouts that occurred after or during (inclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to six days before today (a trailing seven-day window).
• end: The latest time for which to get data, derived from the end_date parameter. Returns workouts that intersect this time or ended before (exclusive) this time. Accepts YYYY-MM-DD date strings or ISO datetimes. Date-only values cover whole UTC days. Defaults to today's date.

Example Response:

[
    {
        "id": "ecfc6a15-4661-442f-a9a4-f160dd7afae8",
        "user_id": 9012,
        "created_at": "2022-04-24T11:25:44.774Z",
        "updated_at": "2022-04-24T14:25:44.774Z",
        "start": "2022-04-24T02:25:44.774Z",
        "end": "2022-04-24T10:25:44.774Z",
        "timezone_offset": "-05:00",
        "sport_id": 1,
        "score_state": "SCORED",
        "score": {
            "strain": 8.2463,
            "average_heart_rate": 123,
            "max_heart_rate": 146,
            "kilojoule": 1569.34033203125,
            "percent_recorded": 100,
            "distance_meter": 1772.77035916,
            "altitude_gain_meter": 46.64384460449,
            "altitude_change_meter": -0.781372010707855,
            "zone_duration": {}
        }
    },
    ...
]

Usage With DataFrame

Using WHOOP API data with a Pandas DataFrame is very straightforward:

>>> import pandas as pd

>>> sleep = client.get_sleep_collection("2022-05-01", "2022-05-07")
>>> pd.json_normalize(sleep)

                                     id  user_id                created_at                updated_at  \
0  0e8c8c6e-1a2b-4c3d-8e4f-1a2b3c4d5e6f   995945  2022-05-07T14:56:28.389Z  2022-05-07T15:12:22.933Z
1  1f9d9d7f-2b3c-4d4e-9f5a-2b3c4d5e6f70   995945  2022-05-06T18:11:27.029Z  2022-05-06T18:11:29.172Z
2  2a0e0e80-3c4d-4e5f-a06b-3c4d5e6f7081   995945  2022-05-05T14:31:14.954Z  2022-05-05T14:43:15.744Z
3  3b1f1f91-4d5e-4f60-b17c-4d5e6f708192   995945  2022-05-04T13:35:13.911Z  2022-05-04T13:35:15.758Z
4  4c2a20a2-5e6f-4071-c28d-5e6f708192a3   995945  2022-05-03T12:26:02.170Z  2022-05-03T12:26:04.151Z
5  5d3b31b3-6f70-4182-d39e-6f708192a3b4   995945  2022-05-02T15:55:10.734Z  2022-05-02T15:55:13.140Z
6  6e4c42c4-7081-4293-e4af-708192a3b4c5   995945  2022-05-01T17:06:54.808Z  2022-05-01T17:06:57.067Z
7  7f5d53d5-8192-43a4-f5b0-8192a3b4c5d6   995945  2022-05-01T11:26:47.991Z  2022-05-01T11:26:49.684Z

                      start                       end timezone_offset    nap  \
0  2022-05-07T04:46:52.867Z  2022-05-07T14:40:57.427Z          -04:00  False
1  2022-05-06T05:09:00.681Z  2022-05-06T15:09:12.415Z          -04:00  False
2  2022-05-05T04:59:16.774Z  2022-05-05T14:29:44.886Z          -04:00  False
3  2022-05-04T05:04:02.916Z  2022-05-04T13:28:57.733Z          -04:00  False
4  2022-05-03T05:29:46.133Z  2022-05-03T12:14:54.861Z          -04:00  False
5  2022-05-02T05:12:48.073Z  2022-05-02T15:49:36.453Z          -04:00  False
6  2022-05-01T11:53:13.942Z  2022-05-01T14:51:19.894Z          -04:00   True
7  2022-05-01T06:14:52.087Z  2022-05-01T09:19:14.856Z          -04:00  False

  score_state  score.stage_summary.total_in_bed_time_milli  \
0      SCORED                                     35643599
1      SCORED                                     35460907
2      SCORED                                     34240959
3      SCORED                                     30293855
4      SCORED                                     24307767
5      SCORED                                     38003623
6      SCORED                                     10396599
7      SCORED                                     11004129

   score.stage_summary.total_awake_time_milli  \
0                                     3744035
1                                     2064515
2                                     2937299
3                                     2769352
4                                     3384733
5                                     2235345
6                                      681103
7                                     1608235

   score.stage_summary.total_no_data_time_milli  \
0                                             0
1                                             0
2                                             0
3                                             0
4                                             0
5                                             0
6                                             0
7                                             0

   score.stage_summary.total_light_sleep_time_milli  \
0                                          15384266
1                                          13169346
2                                          12210534
3                                          12689932
4                                           6655383
5                                          11195003
6                                           5900698
7                                           4971785

   score.stage_summary.total_slow_wave_sleep_time_milli  \
0                                            7633425
1                                            7874053
2                                            7814364
3                                            5554196
4                                            5526290
5                                           10101551
6                                            1762533
7                                            3008130

   score.stage_summary.total_rem_sleep_time_milli  \
0                                         8881873
1                                        12352993
2                                        11278762
3                                         9280375
4                                         8741361
5                                        14471724
6                                         2052265
7                                         1415979

   score.stage_summary.sleep_cycle_count  \
0                                      8
1                                      9
2                                      5
3                                      4
4                                      4
5                                      9
6                                      3
7                                      1

   score.stage_summary.disturbance_count  score.sleep_needed.baseline_milli  \
0                                     17                           27975800
1                                     12                           27976121
2                                     21                           27976442
3                                     15                           27976764
4                                     12                           27977085
5                                      8                           27977406
6                                      1                           27977728
7                                      4                           27977728

   score.sleep_needed.need_from_sleep_debt_milli  \
0                                              0
1                                         359692
2                                        3237274
3                                        3636979
4                                              0
5                                        9792092
6                                        9792204
7                                        2098329

   score.sleep_needed.need_from_recent_strain_milli  \
0                                            367539
1                                            304726
2                                            655901
3                                           1812597
4                                            270597
5                                            426795
6                                                 0
7                                           1463907

   score.sleep_needed.need_from_recent_nap_milli  score.respiratory_rate  \
0                                              0               13.398438
1                                              0               13.066406
2                                              0               12.568359
3                                              0               13.164062
4                                              0               13.535156
5                                       -9715496               13.535156
6                                              0               14.121094
7                                              0               14.941406

   score.sleep_performance_percentage  score.sleep_consistency_percentage  \
0                               100.0                                83.0
1                               100.0                                81.0
2                                98.0                                75.0
3                                82.0                                68.0
4                                74.0                                65.0
5                               100.0                                62.0
6                                26.0                                51.0
7                                30.0                                78.0

   score.sleep_efficiency_percentage
0                          89.857010
1                          94.178050
2                          91.421684
3                          91.993940
4                          89.586520
5                          94.118080
6                          93.448790
7                          87.927660

[8 rows x 25 columns]