> For the complete documentation index, see [llms.txt](https://docs.suggestic.com/graphql/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.suggestic.com/graphql/query/queries/food-log/frequently-logged.md).

# Frequently Logged

Use the `frequentMealLogs`query to obtain a list of the most frequently logged items.

### Available Fields

| Field Name | Type                                                                       | Description                                                                            |
| ---------- | -------------------------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| `id`       | String                                                                     | Meal ID                                                                                |
| `name`     | String                                                                     | Name of the meal                                                                       |
| `mealtype` | [MealType](https://docs.suggestic.com/graphql/objects/food-logs/meal-type) | Available options are `RECIPE`, `MENU_ITEM`, `OWN_RECIPE`, `USDA_MEAL`, and `OWN_ITEM` |

### Example

{% tabs %}
{% tab title="Query" %}

```graphql
{
  frequentMealLogs {
    id
    name
    mealType
  }
}
```

{% endtab %}

{% tab title="Response" %}

```graphql
{
  "data": {
    "frequentMealLogs": [
      {
        "id": "TWVhbExvZzpjMWUxYzFkMGVhOTgxMWVhYTRkMmQ2N2U0NzdiZTE4Yw==",
        "name": "Potato and pesto salad",
        "mealType": "RECIPE"
      }
    ]
  }
}
```

{% endtab %}
{% endtabs %}


---

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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.suggestic.com/graphql/query/queries/food-log/frequently-logged.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
