pycaching - Geocaching for Python

Complete documentation can be found at Read the Docs.

Features

• login to Geocaching.com
• search caches
  • normal search (unlimited number of caches from any point)
  • quick search (all caches inside some area) - currently not working, see below
• get cache and its details
  • normal loading (can load all details)
  • quick loading (can load just basic info but very quickly)
  • load logbook for given cache
• get trackable details by tracking code
• post log for a cache or a trackable
• geocode given location

Installation

Stable version - using pip:

pip install pycaching

Dev version - manually from GIT:

git clone https://github.com/tomasbedrich/pycaching.git
cd pycaching
pip install .

Pycaching has following requirements:

Python>=3.5
requests>=2.8
beautifulsoup4>=4.9
geopy>=1.11

Pycaching tests have the following additional requirements:

betamax >=0.8, <0.9
betamax-serializers >=0.2, <0.3

Examples

Login

Simply call pycaching.login() method and it will do everything for you.

import pycaching
geocaching = pycaching.login("user", "pass")

If you won't provide an username or password, pycaching will try to load .gc_credentials file from current directory or home folder. It will try to parse it as JSON and use the keys username and password from that file as login credentials.

{ "username": "myusername", "password": "mypassword" }

You can also provide multiple username and password tuples in a file as login credentials. The tuple to be used can be chosen by providing its username when calling pycaching.login(), e.g. pycaching.login("myusername2"). The first username and password tuple specified will be used as default if pycaching.login() is called without providing a username.

[ { "username": "myusername1", "password": "mypassword1" },
  { "username": "myusername2", "password": "mypassword2" } ]

import pycaching
geocaching = pycaching.login()  # assume the .gc_credentials file is presented

In case you have a password manager in place featuring a command line interface (e.g. GNU pass) you may specify a password retrieval command using the password_cmd key instead of password.

{ "username": "myusername", "password_cmd": "pass geocaching.com/myUsername" }

Note that the password and password_cmd keys are mutually exclusive.

Load a cache details

cache = geocaching.get_cache("GC1PAR2")
print(cache.name)  # cache.load() is automatically called
print(cache.location)  # stored in cache, printed immediately

This uses lazy loading, so the Cache object is created immediately and the page is loaded when needed (accessing the name).

You can use a different method of loading cache details. It will be much faster, but it will load less details:

cache = geocaching.get_cache("GC1PAR2")
cache.load_quick()  # takes a small while
print(cache.name)  # stored in cache, printed immediately
print(cache.location)  # NOT stored in cache, will trigger full loading

You can also load a logbook for cache:

for log in cache.load_logbook(limit=200):
    print(log.visited, log.type, log.author, log.text)

Or its trackables:

for trackable in cache.load_trackables(limit=5):
    print(trackable.name)

Post a log to cache

geocaching.post_log("GC1PAR2", "Found cache in the rain. Nice place, TFTC!")

It is also possible to call post_log on Cache object, but you would have to create Log object manually and pass it to this method.

Search for all traditional caches around

from pycaching import Point
from pycaching.cache import Type

point = Point(56.25263, 15.26738)

for cache in geocaching.search(point, limit=50):
    if cache.type == Type.traditional:
        print(cache.name)

Notice the limit in the search function. It is because geocaching.search() returns a generator object, which would fetch the caches forever in case of a simple loop.

Geocode address and search around

point = geocaching.geocode("Prague")

for cache in geocaching.search(point, limit=10):
    print(cache.name)

Find caches in some area

from pycaching import Point, Rectangle

rect = Rectangle(Point(60.15, 24.95), Point(60.17, 25.00))

for cache in geocaching.search_rect(rect):
    print(cache.name)

If you want to search in a larger area, you could use the limit parameter as described above.

Load trackable details

trackable = geocaching.get_trackable("TB3ZGT2")
print(trackable.name, trackable.goal, trackable.description, trackable.location)

Post a log for trackable

from pycaching.log import Log, Type as LogType
import datetime

log = Log(type=LogType.discovered_it, text="Nice TB!", visited=datetime.date.today())
tracking_code = "ABCDEF"
trackable.post_log(log, tracking_code)

Get geocaches by log type

from pycaching.log import Type as LogType

for find in geocaching.my_finds(limit=5):
    print(find.name)

for dnf in geocaching.my_dnfs(limit=2):
    print(dnf.name)

for note in geocaching.my_logs(LogType.note, limit=6):
    print(note.name)

Appendix

Legal notice

Be sure to read Geocaching.com's terms of use. By using this piece of software you break them and your Geocaching account may be suspended or even deleted. To prevent this, I recommend you to load the data you really need, nothing more. This software is provided "as is" and I am not responsible for any damage possibly caused by it.

Inspiration

Original version was inspired by these packages:

• Geocache Grabber (by Fuad Tabba)
• geocaching-py (by Lev Shamardin)

Although the new version was massively rewritten, I'd like to thank to their authors.

Authors

Authors of this project are all contributors. Maintainer is Tomáš Bedřich.