Skip to main content

Geocaching.com site crawler. Provides tools for searching, fetching caches and geocoding.

Project description

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 bellow

  • 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>=3.4
requests>=2.8
beautifulsoup4>=4.4
geopy>=1.11

Examples

Login

Simly 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.

# sample .gc_credentials JSON file
{ "username": "myusername", "password": "mypassword" }
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.

# sample .gc_credentials JSON file with password command
{ "username": "myusername", "password_cmd": "pass geocaching.com/myUsername" }

Note that the password and password_cmd keys are mutually exclusisive.

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 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 simple loop.

Geocode adress and search around

point = geocaching.geocode("Prague")

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

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.name, cache.location.precision)

Load a 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)

Appendix

Inspiration

Original version was inspired by these packages:

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.

Build Status Coverage Status PyPI monthly downloads

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycaching-3.6.1.tar.gz (42.2 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pycaching-3.6.1-py3.6.egg (31.9 kB view details)

Uploaded Egg

pycaching-3.6.1-py3-none-any.whl (35.6 kB view details)

Uploaded Python 3

File details

Details for the file pycaching-3.6.1.tar.gz.

File metadata

  • Download URL: pycaching-3.6.1.tar.gz
  • Upload date:
  • Size: 42.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pycaching-3.6.1.tar.gz
Algorithm Hash digest
SHA256 4e4a945475ba7055195a970e3183be9b4575e52348b1423d80d70cba5ec4c80b
MD5 8708c23ccffafafa1495c5add289684a
BLAKE2b-256 018f44d4c48f8520d88304b081f306fe17cdc58a294828bb3a5215ccabd5c04a

See more details on using hashes here.

File details

Details for the file pycaching-3.6.1-py3.6.egg.

File metadata

  • Download URL: pycaching-3.6.1-py3.6.egg
  • Upload date:
  • Size: 31.9 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pycaching-3.6.1-py3.6.egg
Algorithm Hash digest
SHA256 ce64f71d72c1d21281aebf1452c54fcd5c842262241dde9dcace85c7de223208
MD5 8601a542045f7be2298e41314e76968b
BLAKE2b-256 363f7d732b186e54c3044e22e11320e15956f82675c437cb8268802d1ad3a72c

See more details on using hashes here.

File details

Details for the file pycaching-3.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pycaching-3.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e9a03ec5244e16b3a2e33ee2164af6e1cf33102caa10153734e5f3f3e4b9168c
MD5 01f7405f0c5ae679c135707dd759101a
BLAKE2b-256 524d581ee0f9d948c533afa09bb87e31d103e74b3fe54d4a269bd65fed4d515f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page