Strong Workout Tracker (v6 API)#

Unofficial REST API for the Strong workout tracking app (v6+). All API interaction goes through the CLI dispatcher at scripts/strong_runner.py.

Warning: This API is reverse-engineered and unofficial. Use at your own risk.

Environment Variables#

VariableDescriptionSTRONG_USERNAMEStrong account username or emailSTRONG_PASSWORDStrong account password

Both must be set before running any command. The CLI reads them automatically.

Runner#

All commands are invoked via:

bash

python3 scripts/strong_runner.py <command> [--param value ...]

Every command authenticates automatically (login is handled internally), prints JSON to stdout, and exits. No manual token management is needed.

Workflow#

1. Pick the appropriate subcommand from the list below.
2. Run it — authentication and token handling happen inside the runner.
3. All collection responses use HAL format with _links, _embedded, and total.

---

1. Login#

Authenticate and return tokens. Rarely needed directly — all other commands log in automatically.

bash

python3 scripts/strong_runner.py login

Output: { "accessToken": "eyJ...", "refreshToken": "kf3Z...", "userId": "uuid" }

---

2. Refresh Token#

Renew an expired access token without re-entering credentials.

bash

python3 scripts/strong_runner.py refresh_token

Output: { "accessToken": "eyJ...", "refreshToken": "...", "expiresIn": 1200, "userId": "uuid" }

---

3. Get User Profile#

Fetch the authenticated user's profile, preferences, and purchases.

bash

python3 scripts/strong_runner.py get_profile

Response keys: id, created, lastChanged, username, email, emailVerified, name, goal, preferences, purchases, legacyPurchase, legacyGoals, startHistoryFromDate, firstWeekDay, availableLogins, migrated.

---

4. List Exercises (Measurements)#

Fetch all exercises in the user's library.

bash

python3 scripts/strong_runner.py list_exercises

Response (HAL):

json

{
  "_links": { "self": {...} },
  "_embedded": {
    "measurement": [
      {
        "id": "uuid",
        "created": "ISO8601",
        "lastChanged": "ISO8601",
        "name": { "custom": "Bench Press (Barbell)" },
        "instructions": { "custom": "..." },
        "media": [],
        "cellTypeConfigs": [{ "cellType": "...", "mandatory": true }],
        "measurementType": "EXERCISE"
      }
    ]
  },
  "total": 360
}

---

5. Get Single Exercise#

bash

python3 scripts/strong_runner.py get_exercise --measurement_id <uuid>

ParameterRequiredDescription--measurement_idYesExercise/measurement UUID

---

6. List Workout Templates#

Fetch all workout templates (routines).

bash

python3 scripts/strong_runner.py list_templates

Response (HAL):

json

{
  "_embedded": {
    "template": [
      {
        "id": "uuid",
        "created": "ISO8601",
        "lastChanged": "ISO8601",
        "name": { "custom": "Push Day" },
        "access": "PRIVATE",
        "logType": "TEMPLATE",
        "_embedded": {
          "cellSetGroup": [
            { "id": "uuid", "cellSets": [...] }
          ]
        }
      }
    ]
  },
  "total": 75
}

---

7. Get Single Template#

bash

python3 scripts/strong_runner.py get_template --template_id <uuid>

ParameterRequiredDescription--template_idYesTemplate UUID

Response keys: id, created, lastChanged, name, access, logType, _embedded.cellSetGroup[] (each with id, cellSets[]).

---

8. List Workout Logs#

Fetch all completed workout sessions.

bash

python3 scripts/strong_runner.py list_logs

Response (HAL):

json

{
  "_embedded": {
    "log": [
      {
        "id": "uuid",
        "created": "ISO8601",
        "lastChanged": "ISO8601",
        "name": { "custom": "Push Day" },
        "access": "PUBLIC",
        "startDate": "ISO8601",
        "endDate": "ISO8601",
        "logType": "WORKOUT",
        "_embedded": {
          "cellSetGroup": [
            { "id": "uuid", "cellSets": [...] }
          ]
        }
      }
    ]
  },
  "total": 552
}

---

9. Get Single Log#

Fetch a single workout log. Pass --include_measurement to embed exercise data.

bash

python3 scripts/strong_runner.py get_log --log_id <uuid>
python3 scripts/strong_runner.py get_log --log_id <uuid> --include_measurement

ParameterRequiredDescription--log_idYesLog UUID--include_measurementNoInclude exercise/measurement data in the response

Response keys: id, created, lastChanged, name, access, startDate, endDate, logType, _embedded.cellSetGroup[] (each with id, cellSets[], _embedded.cellSet[]).

---

10. List Folders#

Fetch workout template folders.

bash

python3 scripts/strong_runner.py list_folders

Response (HAL): _embedded.folder[] with keys: id, created, lastChanged, name, index.

---

11. List Tags#

Fetch exercise tags/categories.

bash

python3 scripts/strong_runner.py list_tags

Response (HAL): _embedded.tag[] with keys: id, created, name, color, isGlobal.

---

12. List Widgets#

Fetch dashboard widget configuration.

bash

python3 scripts/strong_runner.py list_widgets

Response (HAL): _embedded.widget[] with keys: id, created, lastChanged, index, widgetType, parameters.

---

13. Share a Template#

Generate a shareable link for a workout template.

bash

python3 scripts/strong_runner.py share_template --template_id <uuid>

ParameterRequiredDescription--template_idYesTemplate UUID

---

14. Share a Workout Log#

Generate a shareable link for a workout log.

bash

python3 scripts/strong_runner.py share_log --log_id <uuid>

ParameterRequiredDescription--log_idYesLog UUID

---

15. Get Shared Link#

Retrieve a shared template or log by its link ID.

bash

python3 scripts/strong_runner.py get_shared_link --link_id <id>

ParameterRequiredDescription--link_idYesShared link ID

---

16. Get Log at Date#

Fetch workout logs whose startDate falls on a specific date. Client-side filter over list_logs.

bash

python3 scripts/strong_runner.py get_log_at_date --date 2025-03-15
python3 scripts/strong_runner.py get_log_at_date --date 2025-03-15T14:30:00+01:00

ParameterRequiredDescription--dateYesTarget date ( YYYY-MM-DD or ISO-8601 timestamp)

Response (HAL): _embedded.log[] — only logs matching the given calendar date.

---

17. Get Logs in Range#

Fetch workout logs between two dates (inclusive). Client-side filter over list_logs.

bash

python3 scripts/strong_runner.py get_logs_in_range --from 2025-01-01 --to 2025-03-31

ParameterRequiredDescription--fromYesStart date ( YYYY-MM-DD or ISO-8601)--toYesEnd date ( YYYY-MM-DD or ISO-8601)

Response (HAL): _embedded.log[] — logs sorted by startDate, within the range.

---

18. Get Latest Log#

Return the single most recent workout log by startDate. Client-side filter over list_logs.

bash

python3 scripts/strong_runner.py get_latest_log

Response: A single log object (not wrapped in _embedded).

---

19. Search Logs by Name#

Search workout logs by name using a case-insensitive substring match. Client-side filter over list_logs.

bash

python3 scripts/strong_runner.py search_logs_by_name --name "push day"

ParameterRequiredDescription--nameYesSubstring to match against log names

Response (HAL): _embedded.log[] — matching logs.

---

20. Search Exercises by Name#

Search exercises by name using a case-insensitive substring match. Client-side filter over list_exercises.

bash

python3 scripts/strong_runner.py search_exercises_by_name --name "bench press"

ParameterRequiredDescription--nameYesSubstring to match against exercise names

Response (HAL): _embedded.measurement[] — matching exercises.

---

21. Get Exercise History#

Return all workout logs that contain a specific exercise (by measurement ID). Client-side filter over list_logs.

bash

python3 scripts/strong_runner.py get_exercise_history --measurement_id <uuid>

ParameterRequiredDescription--measurement_idYesExercise/measurement UUID to search for

Response (HAL): _embedded.log[] — logs containing the exercise, sorted by startDate.

---

External endpoints#

EndpointPurposehttps://back.strong.app/auth/loginAuthenticate and obtain JWT tokenshttps://back.strong.app/auth/login/refreshRefresh an expired access tokenhttps://back.strong.app/api/users/{userId}User profilehttps://back.strong.app/api/users/{userId}/measurementsExercises (measurements)https://back.strong.app/api/users/{userId}/templatesWorkout templateshttps://back.strong.app/api/users/{userId}/logsWorkout logshttps://back.strong.app/api/users/{userId}/foldersTemplate foldershttps://back.strong.app/api/users/{userId}/tagsExercise tagshttps://back.strong.app/api/users/{userId}/widgetsDashboard widgetshttps://back.strong.app/api/links/{linkId}Shared links

No other external endpoints are contacted.

---

Security and privacy#

• Credentials are read exclusively from STRONG_USERNAME and STRONG_PASSWORD environment variables and are never logged, cached, or written to disk.
• Tokens (JWT access and refresh) are held in memory only for the duration of a single invocation and are never persisted.
• All traffic uses HTTPS only to back.strong.app.
• The runner script ( scripts/strong_runner.py) is pure Python using only the standard library — no shell expansion or interpolation of user input occurs.
• No local files are read or written.

---

Model invocation note#

The agent should invoke this skill whenever the user asks about their Strong app workouts, exercises, templates, workout history, tags, folders, or training data. The agent should call login implicitly before any data-fetching command and never expose raw tokens to the user. Prefer list_logs and list_templates for broad queries, and get_log --log_id ... or get_template --template_id ... for specific lookups.

---

Trust statement#

This skill is unofficial and reverse-engineered. It is not affiliated with, endorsed by, or supported by Strong Fitness Ltd. The API surface may change without notice. Use at your own risk. The author assumes no liability for data loss or account restrictions resulting from use of this skill.