# UnstructuredEmailLoader

> **Class** in `langchain_community`

📖 [View in docs](https://reference.langchain.com/python/langchain-community/document_loaders/email/UnstructuredEmailLoader)

Load email files using `Unstructured`.

Works with both
.eml and .msg files. You can process attachments in addition to the
e-mail message itself by passing process_attachments=True into the
constructor for the loader. By default, attachments will be processed
with the unstructured partition function. If you already know the document
types of the attachments, you can specify another partitioning function
with the attachment partitioner kwarg.

Example
-------
from langchain_community.document_loaders import UnstructuredEmailLoader

loader = UnstructuredEmailLoader("example_data/fake-email.eml", mode="elements")
loader.load()

Example
-------
from langchain_community.document_loaders import UnstructuredEmailLoader

loader = UnstructuredEmailLoader(
    "example_data/fake-email-attachment.eml",
    mode="elements",
    process_attachments=True,
)
loader.load()

## Signature

```python
UnstructuredEmailLoader(
    self,
    file_path: Union[str, Path],
    mode: str = 'single',
    **unstructured_kwargs: Any = {},
)
```

## Extends

- `UnstructuredFileLoader`

## Constructors

```python
__init__(
    self,
    file_path: Union[str, Path],
    mode: str = 'single',
    **unstructured_kwargs: Any = {},
)
```

| Name | Type |
|------|------|
| `file_path` | `Union[str, Path]` |
| `mode` | `str` |


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[View source on GitHub](https://github.com/langchain-ai/langchain-community/blob/4b280287bd55b99b44db2dd849f02d66c89534d5/libs/community/langchain_community/document_loaders/email.py#L14)