Extracting property values Leave feedback
The most common way to get a metadata property value is to inspect its type and read the underlying value accordingly. Every MetadataProperty exposes a value (a PropertyValue) whose type tells you the data type and whose raw_value returns the underlying Python value.
from groupdocs.metadata import Metadata
from groupdocs.metadata.common import MetadataPropertyType
def extract_using_type():
with Metadata("input.docx") as metadata:
# Fetch all metadata properties from the file
properties = metadata.find_properties(lambda p: True)
for prop in properties:
# Process string and date/time properties only (as an example)
if prop.value.type == MetadataPropertyType.STRING:
print(f"{prop.name} (string): {prop.value.raw_value}")
elif prop.value.type == MetadataPropertyType.DATE_TIME:
print(f"{prop.name} (datetime): {prop.value.raw_value}")
if __name__ == "__main__":
extract_using_type()
input.docx is the sample file used in this example. Click here to download it.
MimeType (string): application/vnd.openxmlformats-officedocument.wordprocessingml.document
Extension (string): .docx
Author (string): Prokofjev Igor
Category (string):
Comments (string):
Company (string): Profitgroup
ContentStatus (string):
CreateTime (datetime): 2016-03-22 17:08:00+00:00
Keywords (string):
LastPrinted (datetime): 0001-01-01 00:00:00
[TRUNCATED]
If you need to process many supported types generically, inspect prop.value.raw_value together with prop.value.type and branch accordingly. This lets you handle arrays, numbers, booleans, nested packages, and so on in a single pass.
You may easily run the code above and see the feature in action in our GitHub examples:
You are welcome to view and edit metadata of PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, emails, images and more with our free online Free Online Document Metadata Viewing and Editing App.
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