Unofficial Lolalytics scraper

[TBA] a lot of things

Installation

pip install lolalytics-api

Functions

get_tierlist

• def get_tierlist(n: int = 10, lane: str = '', rank: str = '')
  *Empty rank is set by default to Emerald+
  *Empty lane is set by default to all lanes

{
  "0": {
      "rank": "1",
      "champion": "Ahri",
      "tier": "S+",
      "winrate": "52.73"
    },
  "1": {
      "rank": "2",
      "champion": "Yone",
      "tier": "S",
      "winrate": "50.92"
    }
}

get_counters

• def get_counters(n: int = 10, champion: str = '', rank: str = '')
  *Empty rank is set by default to Emerald+

{
  "0": {
      "champion": "Akali",
      "winrate": "47.91"
    }
}

display_ranks

• def display_ranks(display: bool = True)
  Display all available ranks and their shortcuts.
  If display is True (default), prints the ranks to the console.
  Otherwise, returns a dict.

display_lanes

• def display_lanes(display: bool = True)
  Same as above, but for lanes.

get_champion_data

• def get_champion_data(champion: str, lane: str = '', rank: str = '')
  Returns detailed info about a certain champion.

{
    "winrate": "51.7%",
    "wr_delta": "0.93%",
    "game_avg_wr": "50.77%",
    "pickrate": "7.46%",
    "tier": "S+",
    "rank": "1 / 99",
    "banrate": "10.27%",
    "games": "67,380"
}

matchup

• def matchup(champion1: str, champion2: str, lane: str = '', rank: str = '')
  Returns winrate and number of games played in a matchup between two champions.

{
    "winrate": "49.8%",
    "number_of_games": "1,000"
}

patch_notes

• def patch_notes(rank: str = '')
  It does NOT show detailed patch notes.
  Nevertheless, it shows which champions were buffed/nerfed/adjusted, also with the winrate/pickrate/banrate changes for each of them.

{
    "buffed": {
        "0": {
            "champion": "Fiddlesticks",
            "winrate": "52.48% (+0.80%)",
            "pickrate": "2.88 (+0.55)",
            "banrate": "3.12 (+0.47)"
        }
    },
    "nerfed": {
        "0": {
            "champion": "Ryze",
            "winrate": "49.03% (-0.67%)",
            "pickrate": "3.45 (-0.07)",
            "banrate": "0.68 (-0.10)"
        }
    },
    "adjusted": {
        "0": {
            "champion": "Briar",
            "winrate": "52.66% (+0.61%)",
            "pickrate": "3.70 (+0.63)",
            "banrate": "5.14 (+1.53)"
        }
    }
}