iNaturalist API client for python
Reason this release was yanked:
Old pre-release
Project description
pyinaturalist
Introduction
iNaturalist is a community science platform that helps people get involved in the natural world by observing and identifying the living things around them. Collectively, the community produces a rich source of global biodiversity data that can be valuable to anyone from hobbyists to scientists.
pyinaturalist is an unofficial client for the iNaturalist API that aims to make these data easily accessible in the python programming language.
Features
- Easier requests: Complete type annotations for request parameters, simplified create/update request formats, and easy pagination
- Convenient responses: Type conversions to the things you would expect in python, and optional models for an object-oriented inteface to response data
- Docs: Example requests, responses, scripts, and Jupyter notebooks to help get you started
- Security: Keyring integration for secure credential storage
- Server-friendly: Client-side rate-limiting that follows the API Recommended Practices, so you can be nice to the iNaturalist servers and not worry about rate-limiting errors
- Test-friendly: A dry-run mode to preview your requests before potentially modifying data
Many of the most relevant API endpoints are supported, including:
- annotations and observation fields
- identifications
- observations (multiple formats)
- observation photos + sounds
- observation observers, identifiers, histograms, life lists, and species counts
- places
- projects
- species
- users
Quickstart
Here are usage examples for some of the most commonly used features.
First, install with pip:
pip install pyinaturalist
Then, import the main API functions:
from pyinaturalist import *
Search observations
Let's start by searching for all your own observations. There are
numerous fields you can search on, but we'll just use user_id for now:
>>> observations = get_observations(user_id='my_username')
The full response will be in JSON format, but we can just print out a few basic details:
>>> for obs in observations['results']:
>>> pprint(obs)
[78242978] Species: Agelastica alni (Alder Leaf Beetle) observed by niconoe on 2021-05-10 18:45:38+01:00 at 1428 Braine-l'Alleud, Belgique
[78218860] Genus: Bradybatus observed by niconoe on 2021-05-10 15:22:49+01:00 at 1428 Braine-l'Alleud, Belgique
...
You can also get observation counts by species. On iNaturalist.org, this information can be found on the 'Species' tab of search results. For example, to get the counts of all your own research-grade observations:
>>> counts = get_observation_species_counts(user_id='my_username', quality_grade='research')
>>> pprint(counts, align=True)
[48473 ]: Species: Ganoderma applanatum (Artist's bracket): 4
[50310 ]: Species: Arisaema triphyllum (Jack-in-the-pulpit): 4
[50817 ]: Genus: Auricularia (Wood ear fungi): 3
[81599 ]: Species: Silphium perfoliatum (Cup plant): 3
[120215 ]: Species: Bombus griseocollis (Brown-belted Bumble Bee): 2
...
Another useful format is the
observation histogram,
which shows the number of observations over a given interval. The default is month_of_year:
>>> histogram = get_observation_histogram(user_id='my_username')
>>> print(histogram)
{
1: 8, # January
2: 1, # February
3: 19, # March
..., # etc.
}
Create and update observations
To create or modify observations, you will first need to log in. This requires creating an iNaturalist app, which will be used to get an access token.
token = get_access_token(
username='my_username',
password='my_password',
app_id='my_app_id',
app_secret='my_app_secret',
)
See Authentication for additional authentication options, including environment variables, keyrings, and password managers.
Now we can create a new observation:
from datetime import datetime
response = create_observation(
taxon_id=54327, # Vespa Crabro
observed_on_string=datetime.now(),
time_zone='Brussels',
description='This is a free text comment for the observation',
tag_list='wasp, Belgium',
latitude=50.647143,
longitude=4.360216,
positional_accuracy=50, # GPS accuracy in meters
access_token=token,
photos=['~/observations/wasp1.jpg', '~/observations/wasp2.jpg'],
)
# Save the new observation ID
new_observation_id = response[0]['id']
We can then update the observation information, photos, or sounds:
update_observation(
17932425,
access_token=token,
description='updated description !',
photos='~/observations/wasp_nest.jpg',
sounds='~/observations/wasp_nest.mp3',
)
Search species
Let's say you partially remember either a genus or family name that started with 'vespi'-something. The taxa endpoint can be used to search by name, rank, and several other criteria
>>> response = get_taxa(q='vespi', rank=['genus', 'family'])
As with observations, there is a lot of information in the response, but we'll print just a few basic details:
>>> pprint(response)
[52747] Family: Vespidae (Hornets, Paper Wasps, Potter Wasps, and Allies)
[92786] Genus: Vespicula
[84737] Genus: Vespina
...
Next Steps
For more information, see:
- User Guide: introduction and general features that apply to most endpoints
- Endpoint Summary: a complete list of endpoints wrapped by pyinaturalist
- Examples: data visualizations and other examples of things to do with iNaturalist data
- Reference: Detailed API documentation
- Contributing Guide: development details for anyone interested in contributing to pyinaturalist
- History: details on past and current releases
- Issues: planned & proposed features
Feedback
If you have any problems, suggestions, or questions about pyinaturalist, please let us know! Just create an issue. Also, PRs are welcome!
Note: pyinaturalist is developed by members of the iNaturalist community, and is not endorsed by iNaturalist.org or the California Academy of Sciences. If you have non-python-specific questions about iNaturalist, the iNaturalist Community Forum is the best place to start.
Related Projects
Other python projects related to iNaturalist:
- Dronefly: A Discord bot with iNaturalist data access features, used by the iNaturalist Discord server.
- pyinaturalist-convert: Tools to convert observation data to and from multiple formats
- pyinaturalist-open-data: Tools for working with iNaturalist open data
- pyinaturalist-notebook: Jupyter notebook Docker image for pyinaturalist
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