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Email

This notebook shows how to load email (.eml) or Microsoft Outlook (.msg) files.

Please see this guide for more instructions on setting up Unstructured locally, including setting up required system dependencies.

Using Unstructuredโ€‹

%pip install --upgrade --quiet unstructured
from langchain_community.document_loaders import UnstructuredEmailLoader

loader = UnstructuredEmailLoader("./example_data/fake-email.eml")

data = loader.load()

data
[Document(page_content='This is a test email to use for unit tests.\n\nImportant points:\n\nRoses are red\n\nViolets are blue', metadata={'source': './example_data/fake-email.eml'})]

Retain Elementsโ€‹

Under the hood, Unstructured creates different "elements" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".

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

data = loader.load()

data[0]
Document(page_content='This is a test email to use for unit tests.', metadata={'source': 'example_data/fake-email.eml', 'file_directory': 'example_data', 'filename': 'fake-email.eml', 'last_modified': '2022-12-16T17:04:16-05:00', 'sent_from': ['Matthew Robinson <mrobinson@unstructured.io>'], 'sent_to': ['Matthew Robinson <mrobinson@unstructured.io>'], 'subject': 'Test Email', 'languages': ['eng'], 'filetype': 'message/rfc822', 'category': 'NarrativeText'})

Processing Attachmentsโ€‹

You can process attachments with UnstructuredEmailLoader by setting process_attachments=True in the constructor. By default, attachments will be partitioned using the partition function from unstructured. You can use a different partitioning function by passing the function to the attachment_partitioner kwarg.

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

data = loader.load()

data[0]
Document(page_content='This is a test email to use for unit tests.', metadata={'source': 'example_data/fake-email.eml', 'file_directory': 'example_data', 'filename': 'fake-email.eml', 'last_modified': '2022-12-16T17:04:16-05:00', 'sent_from': ['Matthew Robinson <mrobinson@unstructured.io>'], 'sent_to': ['Matthew Robinson <mrobinson@unstructured.io>'], 'subject': 'Test Email', 'languages': ['eng'], 'filetype': 'message/rfc822', 'category': 'NarrativeText'})

Using OutlookMessageLoaderโ€‹

%pip install --upgrade --quiet extract_msg
from langchain_community.document_loaders import OutlookMessageLoader

loader = OutlookMessageLoader("example_data/fake-email.msg")

data = loader.load()

data[0]
API Reference:OutlookMessageLoader
Document(page_content='This is a test email to experiment with the MS Outlook MSG Extractor\r\n\r\n\r\n-- \r\n\r\n\r\nKind regards\r\n\r\n\r\n\r\n\r\nBrian Zhou\r\n\r\n', metadata={'source': 'example_data/fake-email.msg', 'subject': 'Test for TIF files', 'sender': 'Brian Zhou <brizhou@gmail.com>', 'date': datetime.datetime(2013, 11, 18, 0, 26, 24, tzinfo=zoneinfo.ZoneInfo(key='America/Los_Angeles'))})

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