Skip to main content site crawler. Provides tools for searching, fetching caches and geocoding.

Project description


  • login to
  • search caches
    • normal search (unlimited number of caches from any point)
    • quick search (all caches inside some area)
  • load cache and its details
    • normal loading (loads all details)
    • quick loading (loads just basic info very quickly)
    • lazy loading (create cache object and load info on demand)
    • load logbook for given cache
  • post log to cache logbook
  • load trackable details by tracking code
  • geocode given location


Stable version - using pip:

pip install pycaching

Dev version - manually from GIT:

git clone
pip install ./pycaching

Pycaching has following requirements:

requests >= 2.8
beautifulsoup4 >= 4.4

Example usage


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

Load a cache details

cache = geocaching.get_cache("GC1PAR2")
print(  # 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 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(  # 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.text)

Or its trackables:

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

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, limit=50):
    if cache.type == Type.traditional:

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

Geocode adress and search around

point = geocaching.geocode("Prague")

for cache in, limit=10):

Find caches with their approximate locations 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_quick(rect, strict=True):
    print(, cache.location.precision)

Load a trackable details

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



Original version was inspired by these packages:

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


Tomáš Bedřich

Thanks to all contributors!

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