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oaipmh-scythe: A Scythe for harvesting OAI-PMH repositories

Welcome to oaipmh-scythe, an updated and modernized version of the original sickle, now with additional features and ongoing maintenance.

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oaipmh-scythe is a lightweight OAI-PMH client library written in Python. It has been designed for conveniently retrieving data from OAI interfaces the Pythonic way:

from oaipmh_scythe import Scythe

with Scythe("https://zenodo.org/oai2d") as scythe:
    records = scythe.list_records()
    next(records)
# <Record oai:zenodo.org:4574771>

Features

  • Easy harvesting of OAI-compliant interfaces
  • Support for all six OAI verbs
  • Convenient object representations of OAI items (records, headers, sets, ...)
  • Automatic de-serialization of Dublin Core-encoded metadata payloads to Python dictionaries
  • Option for ignoring deleted items

Requirements

Python >= 3.10

oaipmh-scythe is built with:

  • httpx for issuing HTTP requests
  • lxml for parsing XML responses

Installation

You can install oaipmh-scythe from PyPI using uv:

uv add oaipmh-scythe

or with pip:

python -m pip install oaipmh-scythe

Documentation

The documentation is made with Material for MkDocs and is hosted by GitHub Pages.

Similar Projects

There are a couple of similar projects available on PyPI and GitHub, e.g. via the topics oai-pmh and oai-pmh-client. Among them are these implementations in Python:

Project Description Last commit
sickle oaipmh-scythe is a fork of sickle last-commit
pyoai sickle was inspired by pyoai last-commit
pyoaiharvester oai-pmh harvester CLI last-commit
ddblabs-ometha oai-pmh harvester with CLI and TUI last-commit
oai-harvest uses pyoai internally last-commit
oai-pmh-harvester uses sickle internally last-commit

There are also similar projects available in Java and PHP.

Acknowledgments

This is a fork of sickle which was originally written by Mathias Loesch.

License

oaipmh-scythe is distributed under the terms of the BSD license.

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0.16.0

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0.15.2

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0.15.1

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0.15.0

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This release

0.14.4 This release

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0.14.3

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0.14.0

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0.13.0

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0.12.1

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0.12.0

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0.11.0

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0.10.0

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