xeno-canto-py is an API wrapper designed to help users easily download xeno-canto.org recordings and associated information.
Originally created to aid in data collection and filtering for the training of machine learning models.
Navigate to your desired file location in a terminal and then clone the repository with the following command:
git clone https://github.com/ntivirikin/xeno-canto-pyThe only file required for operation is the xenocanto.py file, so feel free to remove the others or move xenocanto.py to another working directory.
You may also use the package manager pip to install xeno-canto-py to include in your Python projects.
pip install xeno-cantoThen import the module:
import xenocantoCommands through the terminal are given in the following format:
-m [filters] Metadata generation
-dl [filters] Download recordings
-d [filters] Delete recordings
-p [num] Purge folders containing num or fewer recordings
-g [path] Generate metadata for provided library path (defaults to 'dataset/audio/')
filters are given in tag:value form in accordance with the API search guidelines. For help in building search terms, consult the xeno-canto API guide. The only exception is when providing English bird names as an argument to the -d command, which must be preceded with en: and have all spaces be replaced with underscores.
Examples of command usage are given below:
# Retrieving metadata
python xenocanto.py -m Bearded Bellbird q:A
# Downloading recordings
python xenocanto.py -dl Bearded Bellbird cnt:Brazil
# Delete recordings with ANY of specified criteria from
# library
python xenocanto.py -d q:D cnt:Brazil
# Purge folders with less than 10 recordings
python xenocanto.py -p 10
# Generate metadata for all recordings in the path
# (defaults to 'dataset/audio/')
python xenocanto.py -gAll pull requests are welcome! If any issues are found, please do not hesitate to bring them to my attention.
Thank you to the team at xeno-canto.org and all its contributors for putting together such an amazing database.