Pokemon Go scraper. Based on an early version of AHAAAAAAA/PokemonGo-Map.
This is not just a map. Apart from much cleaner codebase that suits my needs better, the example.py has been split into two entities: worker.py and web.py.
This tool (or more importantly, worker.py) gets rectangle as a start..end coordinates (configured in config.py) and spawns n workers. Each of the worker uses different Google/PTC account to scan its surrounding area for Pokemon. To put it simply: you can scan entire city for Pokemon. All gathered information is put into a database for further processing (since servers are unstable, accounts may get banned, Pokemon disappear etc.). worker.py is fully threaded, waits a bit before rescanning, and logins again after 10 scans just to make sure connection with server is in good state.
And web.py? It's just a simple interface for gathered data that displays active Pokemon on a map.
Here it is in action:
- multithreaded
- multiple accounts at the same time
- able to map entire city in real time
- data gathering for further analysis
- visualization
/u/gprez made a great tutorial on Reddit. Check it out if you're confused after reading this readme.
The only parameter worker accepts is step limit, just as in example.py.
python worker.py -st 8
To run interface:
python web.py --host 127.0.0.1 --port 8000
You need to have at least rows x columns accounts. So for below example, you need to have 20 accounts.
DB_ENGINE = 'sqlite:///db.sqlite' # anything SQLAlchemy accepts
MAP_START = (12.3456, 14.5) # top left corner
MAP_END = (13.4567, 15.321) # bottom right corner
GRID = (4, 5) # row, column
# LAT_GAIN and LON_GAIN can be configured to tell how big a space between
# points visited by worker should be. LAT_GAIN should also compensate for
# differences in distance between degrees as you go north/south.
LAT_GAIN = 0.0015
LON_GAIN = 0.0025
ACCOUNTS = [
# username, password, service (google/ptc)
('trainer1', 'secret', 'google'),
('trainer2', 'secret', 'ptc'),
('trainer3', 'secret', 'google'),
# ...
]
# Trash Pokemon won't be shown on the live map.
# Their data will still be collected to the database.
TRASH_IDS = [16, 19, 41, 96]
# List of stage 2 & rare evolutions to show in the report
STAGE2 = [
3, 6, 9, 12, 15, 18, 31, 34, 45, 62, 65, 68, 71, 76, 94, 139, 141, 149
]Run python REPL and:
import db
db.Base.metadata.create_all(db.get_engine())See LICENSE.