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Hltv-aio An unofficial asynchronous HLTV API Wrapper for Python

Project description

hltv-async-api an unofficial asynchronous HLTV API Wrapper for Python

This page not completed, not all methods and configs are written

Features

  • Simple Usage (its realy simple)

  • New and modern fully async library

  • Huge amount of options

  • Supports proxy usage

  • Made with love <3


Installation

pip install hltv-async-api

Simple Usage

```
from hltv_async_api import Hltv

hltv = Hltv()
print(await hltv.get_event_info(7148, 'PGL CS2 Major Copenhagen2024'))
await hltv.close_session()

```

OR

```
from hltv_async_api import Hltv

async with Hltv() as hltv:
  print(await hltv.get_event_info(7148, 'PGL CS2 Major Copenhagen2024'))

```

Proxy Usage

Load Proxies from list

```
proxy_list = ['http://120.234.203.171:9002', 'http://110.38.68.38:80']

hltv = Hltv(proxy_list=proxy_list)

```

Load Proxies from file

```
hltv = Hltv(proxy_path='PATH_TO_PROXY.TXT')
```

One-time proxy

removes bad proxies from list

```
hltv = Hltv(proxy_path='PATH_TO_PROXY.TXT', proxy_one_time=True)
```

Protocol usage

```
proxy_list = ['120.234.203.171:9002', '110.38.68.38:80']

hltv = Hltv(proxy_list=proxy_list, proxy_protocol='http')
```

Methods

  • get_matches(days: int = 1, min_star_rating: int = 1, live: bool = True, future: bool = True)

    -days (the number of days into the future to fetch matches for)

    -min_star_rating (the minimum star rating for matches to include)

    await hltv.get_matches(days=1)
    
    >>> [{'id': '2371201', 'date': 'LIVE', 'time': 'LIVE', 'team1': 'Imperial', 'team2': 'MIBR', 't1_id': '9455', 't2_id': '9215', 'maps': '3', 'rating': 1, 'event': 'RES Regional Series 3 LATAM'}, {'id': '2370964', 'date': '2024-04-16', 'time': '12:30', 'team1': 'SAW', 'team2': 'Sampi', 't1_id': '10567', 't2_id': '10695', 'maps': '3', 'rating': 1, 'event': 'Thunderpick World Championship 2024 EU Closed Qualifier 1'}, {'id': '2371367', 'date': '2024-04-16', 'time': '14:00', 'team1': 'Gaimin Gladiators', 'team2': 'Permitta', 't1_id': '11571', 't2_id': '12009', 'maps': '3', 'rating': 1, 'event': 'Elisa Invitational Spring 2024'}]
    
    
  • get_match_info(match_id: int | str, team1, team2, event_title)

    await hltv.get_match_info(2370931, 'Mouz', 'faze', 'iem-chengdu-2024')  
    
    >>>(2370931, '0', '2', 'Match over', [{'mapname': 'Overpass', 'r_team1': '10', 'r_team2': '13'}, {'mapname': 'Nuke', 'r_team1': '6', 'r_team2': '13'}, {'mapname': 'Mirage', 'r_team1': '-', 'r_team2': '-'}], [{'id': '18850', 'nickname': 'Jimpphat', 'kd': '33-29', 'adr': '80.9', 'rating': '1.08'}, 
    
    {'id': '18072', 'nickname': 'torzsi', 'kd': '26-25', 'adr': '70.5', 'rating': '1.02'}, {'id': '13666', 'nickname': 'Brollan', 'kd': '25-31', 'adr': '68.4', 'rating': '0.90'}, {'id': '20312', 'nickname': 'xertioN', 'kd': '23-31', 'adr': '62.4', 'rating': '0.82'}, {'id': '16820', 'nickname': 'siuhy', 'kd': '17-30', 'adr': '51.6', 'rating': '0.70'}, {'id': '18053', 'nickname': 'broky', 'kd': '34-22', 'adr': '79.3', 'rating': '1.33'}, {'id': '9960', 'nickname': 'frozen', 'kd': '33-23', 'adr': '85.5', 'rating': '1.31'}, {'id': '11816', 'nickname': 'ropz', 'kd': '31-26', 'adr': '73.0', 'rating': '1.20'}, {'id': '8183', 'nickname': 'rain', 'kd': '27-26', 'adr': '82.0', 'rating': '1.18'}, {'id': '429', 'nickname': 'karrigan', 'kd': '20-28', 'adr': '49.7', 'rating': '0.81'}])  
    
    
  • get_results(days: int = 1, min_rating: int = 1, max: int = 30, featured: bool = True, regular: bool = True)) ->

    print(await hltv.get_results())
    
    [{'id': '2370931', 'team1': 'MOUZ', 'team2': 'FaZe', 'score1': '0', 'score2': '2', 'rating': 0, 'event': 'IEM Chengdu 2024'}]
    
  • get_events(outgoing=True, future=True, max_events=10) -> [('id', 'title', 'startdate', 'enddate')]

    await hltv.get_events(future=False)
    
    >>>[{'id': '7749', 'title': 'Thunderpick World Championship 2024 EU Closed Qualifier 1', 'start_date': '1-4', 'end_date': '22-4'}, {'id': '7621', 'title': 'ESL Challenger League Season 47 North America', 'start_date': '13-2', 'end_date': '16-6'}]
      
    
  • get_event_results(event_id: int | str, days: int = 1, max_: int = 10)

    await get_event_results(7148)
    
    >>>[{'id': '2370931', 'date': '14-04-2024', 'team1': 'MOUZ', 'team2': 'FaZe', 'score1': '0', 'score2': '2'}]
    
    
  • get_event_matches(event_id: str | int, days: int = 1):

    await hltv.get_event_matches(7148)
    
    >>>[{'id': '2370771', 'date': '2024-04-18', 'time': '15:30', 'team1': 'Monte', 'team2': 'paiN', 't1_id': '11811', 't2_id': '4773'}, {'id': '2370772', 'date': '2024-04-18', 'time': '17:00', 'team1': 'Imperial', 'team2': 'Metizport', 't1_id': '9455', 't2_id': '11641'}, {'id': '2370773', 'date': '2024-04-18', 'time': '18:30', 'team1': 'FURIA', 'team2': '9z', 't1_id': '8297', 't2_id': '9996'}, {'id': '2370774', 'date': '2024-04-18', 'time': '20:00', 'team1': 'MIBR', 'team2': 'OG', 't1_id': '9215', 't2_id': '10503'}, {'id': '2370775', 'date': '2024-04-18', 'time': '21:30', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370776', 'date': '2024-04-18', 'time': '23:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370777', 'date': '2024-04-19', 'time': '00:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370778', 'date': '2024-04-19', 'time': '15:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370779', 'date': '2024-04-19', 'time': '17:30', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370780', 'date': '2024-04-19', 'time': '20:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370781', 'date': '2024-04-19', 'time': '22:30', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370782', 'date': '2024-04-20', 'time': '00:30', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370783', 'date': '2024-04-20', 'time': '15:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}, {'id': '2370784', 'date': '2024-04-20', 'time': '18:00', 'team1': 'TBD', 'team2': 'TBD', 't1_id': 0, 't2_id': 0}]
    
    
  • get_event_info(event_id: str | int, event_title: str) -> (event_id, event_title, event_start, event_end, prize, team_num, location, groups)

    await hltv.get_event_info(7148, 'PGL CS2 Major Copenhagen2024')
    
    {'id': 7148, 'title': 'PGL CS2 Major Copenhagen2024', 'start': '21-3', 'end': '31-3', 'prize': '$1,250,000', 'teams': '16', 'location': 'Copenhagen, Denmark', 'group': []}
    
    
  • get_top_teams(max_teams=30) -> ['rank', 'title', 'points', 'change', 'id']

    await hltv.get_top_teams(2)
    
    >>>[{'id': '1111', 'rank': '1', 'title': 'FaZe', 'points': '939', 'change': '-', 'id': '6667'}, {'id': '1111', 'rank': '2', 'title': 'Natus Vincere', 'points': '757', 'change': '+4', 'id': '4608'}]
    
  • get_team_info(team_id: int | str, title: str) -> (team_id, team_title, rank, [players], coach, average_age, weeks_in_top_20, last_trophy, total_trophys)

    await hltv.get_team_info(6667, 'faze')
    
    >>>(6667, 'faze', '1', ['karrigan', 'rain', 'frozen', 'ropz', 'broky'], 'NEO', '26.6', '258', 'IEM Chengdu 2024', 22)
    
  • get_last_news(max_reg_news=2, only_today=True, only_featured=False) -> [date, [featured_id, featured_title, featured_desciption], [regular_id, reg_title, reg_time]]

    await hltv.get_last_news(only_today=True)
    
    >>>[{'date': '15-04', 'f_news': [], 'news': [{'id': '38784', 'title': 'Media: FURIA practicing with kye in place of arT', 'posted': 'an hour ago'}, {'id': '38783', 'title': 'electroNic to play for Virtus.pro at ESL Pro League S19', 'posted': '2 hours ago'}, {'id': '38781', 'title': 'The EVPs and Best Five of IEM Chengdu', 'posted': '7 hours ago'}]}]
    
    
  • get_best_players(top: int = 40) -> ('rank', 'name', 'team', 'maps', 'rating')

    await hltv.get_best_players(2)
    
    >>>[{'id': '19230', 'rank': 1, 'name': 'm0NESY', 'team': 'G2', 'maps': '44', 'rating': '1.37'}, {'id': '18053', 'rank': 2, 'name': 'broky', 'team': 'FaZe', 'maps': '54', 'rating': '1.19'}]
    
  • get(type: str, id: int | str | None = None, title: str | None = None, team1: str | None = None, team2: str | None = None): (BETA) This method is not finished. Possible types 'events', 'matches', 'teams', also u can add id | title | team1 | team2, to parse more.

    
    await hltv.get('matches', 2371201, 'res-regional-series-3-latam', 'IMPERIAL', 'MIBR')
    
    >>> (2371201, 0, 0, 'LIVE', [{'mapname': 'Vertigo', 'r_team1': '6', 'r_team2': '13'}, {'mapname': 'Mirage', 'r_team1': '-', 'r_team2': '-'}, {'mapname': 'Anubis', 'r_team1': '-', 'r_team2': '-'}], [])
    
    

Configs

  • max_delay: int = 15

    We automaticly increasing reconnecting delay by 1 sec to max_delay (from 1s to 5s)

    hltv = Hltv(max_delay=5, use_proxy=False)
    
    >>>Fetching https://www.hltv.org/matches/2370727/faze-vs-natus-vincere-pgl-cs2-major-copenhagen-2024, code: 403
    >>>Got 403 forbitten
    >>>Calling again, increasing delay to 4s
    >>>Fetching https://www.hltv.org/matches/2370727/faze-vs-natus-vincere-pgl-cs2-major-copenhagen-2024, code: 403
    >>>Got 403 forbitten
    >>>Calling again, increasing delay to 5s
    
  • max_retries: int = 0

    Max retries. 0 or -1 for infinity tries.

    hltv = Hltv(max_retries=2, debug=True)
    print(await hltv.get_best_players())
    
    Creating Session
    Trying connect to https://www.hltv.org/stats/players?startDate=2024-01-01&endDate=2024-12-31&rankingFilter=Top20, try 1/2
    Trying connect to https://www.hltv.org/stats/players?startDate=2024-01-01&endDate=2024-12-31&rankingFilter=Top20, try 2/2
    Connection failed
    
  • use_proxy: bool = False

    Proxy Usage. No compatibility with max_delay (max_delay will be ignored)

  • proxy_list: list | None = None

    list of your proxies, if your proxies doesnt have any protocol you can use proxy_protocol. Note: To add nonproxy to list just put '' to it, you can find example with ar

  • proxy_path: str | None = None

    Path to your proxy (proxy_list will be ignored). If your proxies doesnt have any protocol you can use proxy_protocol

  • proxy_protocol: str | None = None,

    Proxy protocol. Your proxies ```hltv = Hltv(proxy_protocol='http' ...) -> '11.11.11.11:1111' -> 'http://11.11.11.11:1111'

  • proxy_one_time: bool = False

    Removes proxy from list (proxy_path included) if connection unsuccessfull

  • timeout: int = 5

    Max time to close connection. Recommended to use timeout=1 if you are using random proxies.

  • debug: bool = False


Examples

Simple Example

from hltv_async_api import Hltv


async def test():

    hltv = Hltv()
    
    print(await hltv.get_event_info(7148, 'pgl-cs2-major-copenhagen-2024'))

if __name__ == "__main__":
    asyncio.run(test())

Proxy Parser

from hltv_async_api import Hltv


async def test():

    hltv = Hltv(debug=True, use_proxy=True, proxy_path='proxy_test.txt', timeout=1, proxy_one_time=True, proxy_protocol='http')
    
    print(await hltv.get_event_info(7148, 'pgl-cs2-major-copenhagen-2024'))

if __name__ == "__main__":
    asyncio.run(test())

Automatic parser with arq and redis

  • to run type "arq PATH_TO_FILE.WorkerSettings"

    import ujson
    import asyncio
    from arq import cron
    from redis.asyncio import Redis, ConnectionPool
    
    from hltv_async_api import Hltv
    
    
    
    async def startup(ctx):
        ctx["hltv"] = Hltv(max_delay=5, use_proxy=True, proxy_path='proxies.txt', debug=True)
        ctx["redis"] = redis_client = Redis(
            connection_pool=ConnectionPool.from_url(settings.redis_url),
        )
        logger.success(f"Scheduler started. UTC time {datetime.utcnow()}")
    
    
    async def shutdown(ctx):
        await ctx["hltv"].close_session()
        await ctx["redis"].close()
    
    
    async def parse_matches(ctx):
        hltv = ctx["hltv"]
        redis = ctx["redis"]
        matches = await hltv.get_upcoming_matches(1, 1)
        if matches:
            await redis.set("matches", ujson.dumps(matches))
        else:
            logger.error("error parsing matches")
    
    async def parse_events(ctx):
        hltv = ctx["hltv"]
        redis = ctx["redis"]
        events = await hltv.get_events()
        if events:
            await redis.set("events", ujson.dumps(events))
        else:
            logger.error("error parsing events")
    
    
    async def parse_top_teams(ctx):
        hltv = ctx["hltv"]
        redis = ctx["redis"]
        top_teams = await hltv.get_top_teams(30)
        if top_teams:
            await redis.set("top_teams", ujson.dumps(top_teams))
        else:
            logger.error("error parsing top teams")
    
    
    async def parse_top_players(ctx):
        hltv = ctx["hltv"]
        redis = ctx["redis"]
        top_players = await hltv.get_best_players(30)
        if top_players:
            await redis.set("top_teams", ujson.dumps(top_players))
        else:
            logger.error("error parsing top players")
    
    
    async def parse_last_news(ctx):
        hltv = ctx["hltv"]
        redis = ctx["redis"]
        news = await hltv.get_last_news(only_today=True, max_reg_news=4)
        if news:
            await redis.set("news", ujson.dumps(news))
        else:
            logger.error("error parsing news")
    
    
    class WorkerSettings:
        redis_settings = settings.redis_pool
        on_startup = startup
        on_shutdown = shutdown
        functions = [parse_matches,
                     parse_events,
                     parse_top_teams,
                     parse_top_players,
                     parse_last_news,
                     ]
        cron_jobs = [
            cron(parse_matches, minute=59),
            cron(parse_events, hour=0, minute=0, second=0),
            cron(parse_top_teams, day=0, hour=18, minute=1, second=30),
            cron(parse_top_players, day=0, hour=20, minute=0, second=0),
            cron(parse_last_news, minute=55),
        ]
    
    

Tests:

To test library you can use temporarily test file


Parsed 15 matches.(17s) ERRORS: 0/15
Parsed 13 events.(28s) ERRORS: 0/13
Parsed 31 teams.(41s) ERRORS: 0/31
ERRORS=0
SUCCESS=64
Total parsed=64
Total time 40.8259

Requirements:

Python 3.9+

License: HLTV Async is licensed under the MIT License, allowing for personal and commercial use with minimal restrictions.

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