# List Data Points — Google Health

> Read raw data points for any Google Health data type the dedicated tools do not cover — blood oxygen (oxygen-saturation), heart rate variability, respiratory rate, VO2 max, body temperature, exercise sessions, sedentary periods, altitude…

- Key: `google_health-list-data-points`
- Type: Action (Read-only)
- Version: 0.0.2
- App: Google Health (`google_health`) — https://pipedream.com/apps/google-health.md
- This page (HTML): https://pipedream.com/apps/google-health/actions/list-data-points
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/google_health/actions/list-data-points/list-data-points.mjs

## Description

Read raw data points for any Google Health data type the dedicated tools do not cover — blood oxygen (`oxygen-saturation`), heart rate variability, respiratory rate, VO2 max, body temperature, exercise sessions, sedentary periods, altitude, swim lengths and more; see the `dataType` options for the full list. **Prefer a dedicated tool where one exists**, since those return compact pre-aggregated results while this returns raw records and can be large: **Get Daily Step Count** (steps), **Get Daily Activity Summary** (calories, distance, active minutes, floors), **Get Heart Rate**, **Get Sleep Data**, **Get Body Measurements** (weight, body fat), **Get Nutrition and Hydration Logs** (food, water). Example: dataType="oxygen-saturation", startDate="2026-08-24" → `dataPoints` with each reading's value and timestamp, newest first. Two pages of `pageSize` come back (default 50 → 100 records) and `pageSize` is capped at 500, so **one call returns at most 1000 records**; `truncated: true` means there were more — narrow the date range or raise `pageSize` up to that cap. `food` and `food-measurement-unit` are reference catalogues, not time series — the date range does not apply, the response sets `dateFilterApplied: false`, and you must not describe those results as belonging to a particular day. Not available here: `total-calories`, `floors`, and `calories-in-heart-rate-zone` are aggregate-only (use **Get Daily Activity Summary**); ECG and irregular-rhythm data need OAuth scopes this app does not request. [See the documentation](https://developers.google.com/health/data-types)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `dataType` | `string` | Yes | The Google Health data type to read, e.g. oxygen-saturation, heart-rate-variability, exercise, blood-glucose, vo2-max, sedentary-period. |
| `startDate` | `string` | No | Start date in YYYY-MM-DD format (e.g. 2026-08-24), in the user's own timezone. Defaults to today in UTC, which can be a day off from the user's local date late at night — pass an explicit date when the exact day matters. |
| `endDate` | `string` | No | End date in YYYY-MM-DD format, inclusive. Defaults to Start Date, i.e. a single day. For a whole week, set Start Date to the Monday and End Date to the Sunday. |
| `pageSize` | `integer` | No | Records to request per page, up to 2 pages. Defaults to 50, which keeps the response small enough to reason over. Values above 500 are clamped to 500, so a single call returns at most 1000 records. sleep and exercise are capped at 25 per page by the API regardless of what is passed, and are large per record — leave this low for them. |
| `fields` | `string[]` | No | Top-level field names to keep on each record's payload, e.g. ["sampleTime", "percentage"] for oxygen-saturation or ["interval", "exerciseType"] for exercise. Omit to return the full payload, which is the usual choice here since the shape differs per data type — call once without this to see the available keys, then narrow on a follow-up if the response was large. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "google_health",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "google_health-list-data-points",
  arguments: {
    dataType: "Data Type",
    startDate: "Start Date",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "google_health-list-data-points",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    google_health: { authProvisionId: "apn_xxxxxxx" },
    dataType: "Data Type",
    startDate: "Start Date",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "google_health-list-data-points",
    "configured_props": {
      "google_health": { "authProvisionId": "apn_xxxxxxx" },
      "dataType": "Data Type",
      "startDate": "Start Date"
    }
  }'
```

---

- App: https://pipedream.com/apps/google-health.md · All apps: https://pipedream.com/apps