Geocaching.com site crawler. Provides tools for searching, fetching caches and geocoding.
Project description
A Python 3 interface for working with Geocaching.com website.
Features
login to Geocaching.com
search for up to 200 caches around any point
load cache details by WP
normal loading (loads all details)
quick loading (loads just basic info very quickly)
NEW: lazy loading (create cache object and load info on demand)
geocode given location
Roadmap
search results caching (without geo- :))
Sphinx documentation
submitting cache logs
usage of asyncio
automatic generation of possible cache attributes
Installation
Using pip:
pip install pycaching
Manually, from GIT:
git clone https://github.com/tomasbedrich/pycaching.git
Requirements
Python >= 3.0 (3.4 required for running tests)
MechanicalSoup >= 0.2.0
geopy >= 1.0.0
Example usage
Login
import pycaching geocaching = pycaching.login("user", "pass")
The above is just shortcut for:
from pycaching import Geocaching geocaching = Geocaching() geocaching.login("user", "pass")
Load a cache details
import pycaching geocaching = pycaching.login("user", "pass") cache = geocaching.load_cache("GC12345") print(cache.name)
Using lazy loading:
from pycaching import Geocaching, Cache geocaching = Geocaching() geocaching.login("user", "pass") cache = Cache("GC12345", geocaching) print(cache.name)
The difference is, that Cache object is created immediately and the page is loaded when needed (accessing the name).
Find all traditional caches around
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.
from pycaching import Geocaching, Point point = Point(10.123456, 10.123456) geocaching = Geocaching() geocaching.login("user", "pass") for cache in geocaching.search(point, limit=50): if cache.cache_type == "Traditional Cache": print(cache.name)
Find all caches on some adress
import pycaching geocaching = pycaching.login("user", "pass") point = geocaching.geocode("10900 Euclid Ave in Cleveland") for cache in geocaching.search(point, limit=10): print(cache.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.
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