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Simple python interface for reading MARC-XML

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Simple python interface for reading MARC-XML


pip install marcalyx


Import the package

>>> import marcalyx

Marcalyx works on xml.etree.ElementTree.Element objects (or compatible), so you will need to parse the XML before passing it to a Marcalyx object. For instance, given a file containing a single <record>:

>>> import xml.etree.ElementTree as ET

or, using lxml:

>>> import lxml.etree as ET


>>> tree = ET.parse('tests/xml/1027474578.xml')
>>> record_element = tree.getroot()
>>> marc = marcalyx.Record(record_element)

If the XML contains a <collection> of Records you would instead create a marcalyx.Collection object, from which you can get the records:

>>> coll = marcalyx.Collection(collection_element)
>>> marc = coll.records()[0]


Once you have a record, you can access the fields by tag (always use the 3-character string, for example, "001", "010", "100"):

>>> marc.field("245")
[245 10$aKindred /$cOctavia E. Butler.]

Or, more simply:

>>> marc["245"]
[245 10$aKindred /$cOctavia E. Butler.]

Fields are always returned as an array when accessed by tag (but not necessarily from the convenience methods, below). Fields are either a ControlField:

>>> type(m["008"][0])
<class 'marcalyx.marcalyx.ControlField'>

Or a DataField:

>>> type(m["245"][0])
<class 'marcalyx.marcalyx.DataField'>

All fields have a tag and a value:

>>> m["008"][0].tag
>>> m["245"][0].tag
>>> m["008"][0].value
'180306r20141979xxk    g      000 j eng d'
>>> m["245"][0].value
'Kindred / Octavia E. Butler.'

Data fields have their two "indicators":

>>> m["245"][0].ind1
>>> m["245"][0].ind2

And subfields, which can be accessed via the subfield() method, which returns an array:

>>> m["245"][0].subfield('a')
[$aKindred /]

value vs. str

The string representation of a field is formatted in the conventional way, showing the indicators and subfields:

>>> str(m["245"][0])
'245 10$aKindred /$cOctavia E. Butler.'

The value is formatted for display:

>>> m["245"][0].value
'Kindred / Octavia E. Butler.'


Subfields have codes, values, and string representations:

>>> m["245"][0].subfield("a")[0].code
>>> m["245"][0].subfield("a")[0].value
'Kindred /'
>>> str(m["245"][0].subfield("a")[0])
'$aKindred /'

Convenience methods

There are several methods to make it easier to get single fields or categories of fields. mainEntry() will return whichever of the 1XX fields the record has (as a DataField, not an array):

>>> m.mainEntry()
100 1#$aButler, Octavia Estelle$d(1947-2006).$4aut

#titleStatement gets the 245 field (again, as a DataField and not an array):

>>> m.titleStatement()
245 10$aKindred /$cOctavia E. Butler.

There are also methods to get an array of each of the main categories of fields. Each of these returns an array of all the fields in the record of the given category:

>>> marc.controlFields() # 00X
>>>         # 01X-09X
>>> marc.titles()        # 20X-24X
>>> marc.edition()       # 25X-28X
>>> marc.description()   # 3XX
>>> marc.series()        # 4XX
>>> marc.notes()         # 5XX
>>> marc.subjects()      # 6XX
>>> marc.addedEntries()  # 70X-75X
>>> marc.linking()       # 76X-78X
>>> marc.seriesAdded()   # 80X-83X
>>>      # 841-88X

Some common numbers have convenience methods:

> record.lccn       # 010$a, String or nil
> record.isbns      # 020$a, Array of Strings, or []
> record.issns      # 022$a, Array of Strings, or []


You can get the record leader:

>>> marc.leader
'00000cam a2200000Mi 4500'


Bug reports and pull requests are welcome on GitHub at This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.


The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the Lccnorm project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.

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