# steampy **Repository Path**: chancedoor/steampy ## Basic Information - **Project Name**: steampy - **Description**: No description available - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2022-03-09 - **Last Updated**: 2022-03-10 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Steam Trade Offers Client for Python ======= [![PayPal Donate Button](https://img.shields.io/badge/donate-paypal-orange.svg)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=XC8BMJ8QRD9ZY "Donate to this project via PayPal") [![Bitcoin Donate Button](https://img.shields.io/badge/donate-bitcoin-orange.svg)](https://blockchain.info/payment_request?address=3FCe4D73J7tJ1zH2Q8NM3xnEeLsevvX3jR&message=Development+of+steampy&amount_local=12¤cy=USD&nosavecurrency=true "Donate to this project via Bitcoin") `steampy` is a library for Python, inspired by node-steam-tradeoffers, node-steam and other libraries for Node.js. It was designed as a simple lightweight library, combining features of many steam libraries from Node.js into a single python module. `steampy` is capable of logging into steam, fetching trade offers and handling them in simple manner, using steam user credentials and SteamGuard file(no need to extract and pass sessionID and webCookie). `steampy` is developed with Python 3 using type hints and many other features its supported for Windows, Linux and MacOs. Table of Content ================ * [Installation](https://github.com/bukson/steampy#installation) * [Usage](https://github.com/bukson/steampy#usage) * [Examples](https://github.com/bukson/steampy#examples) * [SteamClient methods](https://github.com/bukson/steampy#steamclient-methods) * [Market methods](https://github.com/bukson/steampy#market-methods) * [Guard module functions](https://github.com/bukson/steampy#guard-module-functions) * [SteamChat methods](https://github.com/bukson/steampy#steamchat-methods) * [Test](https://github.com/bukson/steampy#test) * [License](https://github.com/bukson/steampy#license) Installation ============ ``` pip install steampy ``` Usage ======= [Obtaining API Key](http://steamcommunity.com/dev/apikey) [Obtaining SteamGuard from mobile device]( https://github.com/SteamTimeIdler/stidler/wiki/Getting-your-%27shared_secret%27-code-for-use-with-Auto-Restarter-on-Mobile-Authentication ) [Obtaining SteamGuard using Android emulation]( https://github.com/codepath/android_guides/wiki/Genymotion-2.0-Emulators-with-Google-Play-support) ```python from steampy.client import SteamClient steam_client = SteamClient('MY_API_KEY') steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') ``` If you have `steamid`, `shared_secret` and `identity_secret` you can place it in file `Steamguard.txt` instead of fetching SteamGuard file from device or pass directly to method as dict below: ```python { "steamid": "YOUR_STEAM_ID_64", "shared_secret": "YOUR_SHARED_SECRET", "identity_secret": "YOUR_IDENTITY_SECRET" } ``` Examples ======== You'll need to obtain your API key and SteamGuard file in order to run the examples, and then fill login and password in `storehose.py` file. The `storehouse.py` file contains an example of handling incoming trade offers. ``` python storehouse.py ``` If you want to generate authentication codes and use steampy as steam desktop authenticator then fill required secrets in `desktop_authenticator.py` file. The `desktop_authenticator.py` file contains examples of generating such one time codes/ ``` python desktop_authenticator.py ``` SteamClient methods =================== Unless specified in documentation, the method does not require login to work(it uses API Key from constructor instead) **login(username: str, password: str, steam_guard: str or dict) -> requests.Response** Log into the steam account. Allows to accept trade offers and some other methods. ```python from steampy.client import SteamClient steam_client = SteamClient('MY_API_KEY') steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') ``` You can also use `with` statement to automatically login and logout. ```python with SteamClient(api_key, login, password, steam_guard_file_or_dict) as client: client.some_method1(...) client.some_method2(...) ... ``` **logout() -> None** Using `SteamClient.login` method is required before usage Logout from steam. ```python from steampy.client import SteamClient steam_client = SteamClient('MY_API_KEY') steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') steam_client.logout() ``` You can also use `with` statement to automatically login and logout. ```python with SteamClient(api_key, login, password, steam_guard_file_or_dict) as client: client.some_method1(...) client.some_method2(...) ... ``` **is_session_alive() -> None** Using `SteamClient.login` method is required before usage Check if session is alive. This method fetches main page and check if user name is there. Thanks for vasia123 for this solution. ```python from steampy.client import SteamClient steam_client = SteamClient('MY_API_KEY') steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') is_session_alive = steam_client.is_session_alive() ``` **api_call(request_method: str, interface: str, api_method: str, version: str, params: dict = None) -> requests.Response** Directly call api method from the steam api services. [Official steam api site](https://developer.valvesoftware.com/wiki/Steam_Web_API) [Unofficial but more elegant](https://lab.xpaw.me/steam_api_documentation.html) ```python from steampy.client import SteamClient steam_client = SteamClient('MY_API_KEY') params = {'key': 'MY_API_KEY'} summaries = steam_client.api_call('GET', 'IEconService', 'GetTradeOffersSummary', 'v1', params).json() ``` **get_trade_offers_summary() -> dict** **get_trade_offers(merge: bool = True) -> dict** Fetching trade offers from steam using an API call. Method is fetching offers with descriptions that satisfy conditions: * Are sent by us or others * Are active (means they have `trade_offer_state` set to 2 (Active)) * Are not historical * No time limitation If `merge` is set `True` then offer items are merged from items data and items description into dict where items `id` is key and descriptions merged with data are value. **get_trade_offer(trade_offer_id: str, merge: bool = True) -> dict** **get_trade_receipt(trade_id: str) -> list** Using `SteamClient.login` method is required before usage Getting the receipt for a trade with all item information after the items has been traded. Do NOT store any item ids before you got the receipt since the ids may change. "trade_id" can be found in trade offers: `offer['response']['offer']['tradeid']`. Do not use ´tradeofferid´. **make_offer(items_from_me: List[Asset], items_from_them: List[Asset], partner_steam_id: str, message:str ='') -> dict** Using `SteamClient.login` method is required before usage `Asset` is class defined in `client.py`, you can obtain `asset_id` from `SteamClient.get_my_inventory` method. This method also uses identity secret from SteamGuard file to confirm the trade offer. No need to manually confirm it on mobile app or email. This method works when partner is your friend or steam. In returned dict there will be trade offer id by the key `tradeofferid`. ```python from steampy.client import SteamClient, Asset from steampy.utils import GameOptions steam_client = SteamClient('MY_API_KEY') steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') partner_id = 'PARTNER_ID' game = GameOptions.CS my_items = steam_client.get_my_inventory(game) partner_items = steam_client.get_partner_inventory(partner_id, game) my_first_item = next(iter(my_items.values())) partner_first_item = next(iter(partner_items.values())) my_asset = Asset(my_first_item['id'], game) partner_asset = Asset(partner_first_item['id'], game) steam_client.make_offer([my_asset], [partner_asset], partner_id, 'Test offer') ``` **make_offer_with_url(items_from_me: List[Asset], items_from_them: List[Asset], trade_offer_url: str, message: str = '', case_sensitive: bool = True) -> dict** Using `SteamClient.login` method is required before usage This method is similar to `SteamClient.make_offer`, but it takes trade url instead of friend account id. It works even when partner isn't your steam friend In returned dict there will be trade offer id by the key `tradeofferid`. If `case_sensitive` is False, then url params with be parsed with case insensitive params keys. **get_escrow_duration(trade_offer_url: str) -> int** Using `SteamClient.login` method is required before usage Check the escrow duration for trade between you and partner(given partner trade offer url) **accept_trade_offer(trade_offer_id: str) -> dict** Using `SteamClient.login` method is required before usage This method also uses identity secret from SteamGuard file to confirm the trade offer. No need to manually confirm it on mobile app or email. **decline_trade_offer(trade_offer_id: str) -> dict** Decline trade offer that **other** user sent to us. **cancel_trade_offer(trade_offer_id: str) -> dict** Cancel trade offer that **we** sent to other user. **get_my_inventory(game: GameOptions, merge: bool = True, count: int = 5000) -> dict** Using `SteamClient.login` method is required before usage If `merge` is set `True` then inventory items are merged from items data and items description into dict where items `id` is key and descriptions merged with data are value. `Count` parameter is default max number of items, that can be fetched. Inventory entries looks like this: ```python {'7146788981': {'actions': [{'link': 'steam://rungame/730/76561202255233023/+csgo_econ_action_preview%20S%owner_steamid%A%assetid%D316070896107169653', 'name': 'Inspect in Game...'}], 'amount': '1', 'appid': '730', 'background_color': '', 'classid': '1304827205', 'commodity': 0, 'contextid': '2', 'descriptions': [{'type': 'html', 'value': 'Exterior: Field-Tested'}, {'type': 'html', 'value': ' '}, {'type': 'html', 'value': 'Powerful and reliable, the AK-47 ' 'is one of the most popular assault ' 'rifles in the world. It is most ' 'deadly in short, controlled bursts ' 'of fire. It has been painted using ' 'a carbon fiber hydrographic and a ' 'dry-transfer decal of a red ' 'pinstripe.\n' '\n' 'Never be afraid to push it to ' 'the limit'}, {'type': 'html', 'value': ' '}, {'app_data': {'def_index': '65535', 'is_itemset_name': 1}, 'color': '9da1a9', 'type': 'html', 'value': 'The Phoenix Collection'}, {'type': 'html', 'value': ' '}, {'app_data': {'def_index': '65535'}, 'type': 'html', 'value': '

Sticker: ' 'PENTA Sports | Katowice 2015, ' 'PENTA Sports | Katowice 2015, ' 'PENTA Sports | Katowice 2015, ' 'mousesports | Cologne ' '2015
'}], 'icon_drag_url': '', 'icon_url': '-9a81dlWLwJ2UUGcVs_nsVtzdOEdtWwKGZZLQHTxDZ7I56KU0Zwwo4NUX4oFJZEHLbXH5ApeO4YmlhxYQknCRvCo04DEVlxkKgpot7HxfDhjxszJemkV09-5lpKKqPrxN7LEmyVQ7MEpiLuSrYmnjQO3-UdsZGHyd4_Bd1RvNQ7T_FDrw-_ng5Pu75iY1zI97bhLsvQz', 'icon_url_large': '-9a81dlWLwJ2UUGcVs_nsVtzdOEdtWwKGZZLQHTxDZ7I56KU0Zwwo4NUX4oFJZEHLbXH5ApeO4YmlhxYQknCRvCo04DEVlxkKgpot7HxfDhjxszJemkV09-5lpKKqPrxN7LEm1Rd6dd2j6eQ9N2t2wK3-ENsZ23wcIKRdQE2NwyD_FK_kLq9gJDu7p_KyyRr7nNw-z-DyIFJbNUz', 'id': '7146788981', 'instanceid': '480085569', 'market_actions': [{'link': 'steam://rungame/730/76561202255233023/+csgo_econ_action_preview%20M%listingid%A%assetid%D316070896107169653', 'name': 'Inspect in Game...'}], 'market_hash_name': 'AK-47 | Redline (Field-Tested)', 'market_name': 'AK-47 | Redline (Field-Tested)', 'market_tradable_restriction': '7', 'marketable': 1, 'name': 'AK-47 | Redline', 'name_color': 'D2D2D2', 'owner_descriptions': '', 'tags': [{'category': 'Type', 'category_name': 'Type', 'internal_name': 'CSGO_Type_Rifle', 'name': 'Rifle'}, {'category': 'Weapon', 'category_name': 'Weapon', 'internal_name': 'weapon_ak47', 'name': 'AK-47'}, {'category': 'ItemSet', 'category_name': 'Collection', 'internal_name': 'set_community_2', 'name': 'The Phoenix Collection'}, {'category': 'Quality', 'category_name': 'Category', 'internal_name': 'normal', 'name': 'Normal'}, {'category': 'Rarity', 'category_name': 'Quality', 'color': 'd32ce6', 'internal_name': 'Rarity_Legendary_Weapon', 'name': 'Classified'}, {'category': 'Exterior', 'category_name': 'Exterior', 'internal_name': 'WearCategory2', 'name': 'Field-Tested'}, {'category': 'Tournament', 'category_name': 'Tournament', 'internal_name': 'Tournament6', 'name': '2015 ESL One Katowice'}, {'category': 'Tournament', 'category_name': 'Tournament', 'internal_name': 'Tournament7', 'name': '2015 ESL One Cologne'}, {'category': 'TournamentTeam', 'category_name': 'Team', 'internal_name': 'Team39', 'name': 'PENTA Sports'}, {'category': 'TournamentTeam', 'category_name': 'Team', 'internal_name': 'Team29', 'name': 'mousesports'}], 'tradable': 1, 'type': 'Classified Rifle'}} ``` **get_partner_inventory(partner_steam_id: str, game: GameOptions, merge: bool = True, count: int = 5000) -> dict** Using `SteamClient.login` method is required before usage Inventory items can be merged like in `SteamClient.get_my_inventory` method `Count` parameter is default max number of items, that can be fetched. **get_wallet_balance(convert_to_float: bool = True) -> Union[str, float]** Check account balance of steam acccount. It uses `parse_price` method from utils to covnert money string to Decimal if `convert_to_decimal` is set to `True`. Example: ```python with SteamClient(api_key, login, password, steam_guard_file_or_dict) as client: wallet_balance = client.get_wallet_balance() self.assertTrue(type(wallet_balance), decimal.Decimal) ``` market methods ============== **fetch_price(item_hash_name: str, game: GameOptions, currency: str = Currency.USD) -> dict** Some games are predefined in `GameOptions` class, such as `GameOptions.DOTA2`, `GameOptions.CS` and `GameOptions.TF2, but `GameOptions` object can be constructed with custom parameters. Currencies are defined in Currency class, currently `Currency.USD`, `Currency.GBP`, `Currency.EURO`, `Currency.CHF` Default currency is USD May rise `TooManyRequests` exception if used more than 20 times in 60 seconds. ```python steam_client = SteamClient(self.credentials.api_key) item = 'M4A1-S | Cyrex (Factory New)' steam_client.market.fetch_price(item, game=GameOptions.CS) {'volume': '208', 'lowest_price': '$11.30 USD', 'median_price': '$11.33 USD', 'success': True} ``` **fetch_price_history(item_hash_name: str, game: GameOptions) -> dict** Using `SteamClient.login` method is required before usage Returns list of price history of and item. ```python with SteamClient(self.credentials.api_key, self.credentials.login, self.credentials.password, self.steam_guard_file) as client: item = 'M4A1-S | Cyrex (Factory New)' response = client.market.fetch_price_history(item, GameOptions.CS) response['prices'][0] ['Jul 02 2014 01: +0', 417.777, '40'] ``` Each entry in `response['prices']` is a list, with first entry being date, second entry price, and third entry a volume. **get_my_market_listings() -> dict** Using `SteamClient.login` method is required before usage Returns market listings posted by user ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') listings = steam_client.market.get_my_market_listings() ``` **create_sell_order(assetid: str, game: GameOptions, money_to_receive: str) -> dict** Using `SteamClient.login` method is required before usage Create sell order of the asset on the steam market. ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') asset_id_to_sell = 'some_asset_id' game = GameOptions.DOTA2 sell_response = steam_client.market.create_sell_order(asset_id_to_sell, game, "10000") ``` ⚠️ `money_to_receive` has to be in cents, so "100.00" should be passed has "10000" **create_buy_order(market_name: str, price_single_item: str, quantity: int, game: GameOptions, currency: Currency = Currency.USD) -> dict** Using `SteamClient.login` method is required before usage Create buy order of the assets on the steam market. ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') response = steam_client.market.create_buy_order("AK-47 | Redline (Field-Tested)", "1034", 2, GameOptions.CS, Currency.EURO) buy_order_id = response["buy_orderid"] ``` ⚠️ `price_single_item` has to be in cents, so "10.34" should be passed has "1034" **buy_item(market_name: str, market_id: str, price: int, fee: int, game: GameOptions, currency: Currency = Currency.USD) -> dict** Using `SteamClient.login` method is required before usage Buy a certain item from market listing. ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') response = steam_client.market.buy_item('AK-47 | Redline (Field-Tested)', '1942659007774983251', 81, 10, GameOptions.CS, Currency.RUB) wallet_balance = response["wallet_info"]["wallet_balance"] ``` **cancel_sell_order(sell_listing_id: str) -> None** Using `SteamClient.login` method is required before usage Cancel previously requested sell order on steam market. ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') sell_order_id = "some_sell_order_id" response = steam_client.market.cancel_sell_order(sell_order_id) ``` **cancel_buy_order(buy_order_id) -> dict** Using `SteamClient.login` method is required before usage Cancel previously requested buy order on steam market. ```python steam_client = SteamClient(self.credentials.api_key) steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') buy_order_id = "some_buy_order_id" response = steam_client.market.cancel_buy_order(buy_order_id) ``` guard module functions ====================== **load_steam_guard(steam_guard: str) -> dict** If `steam_guard` is file name then load and parse it, else just parse `steam_guard` as json string. **generate_one_time_code(shared_secret: str, timestamp: int = None) -> str** Generate one time code for logging into Steam using shared_secret from SteamGuard file. If none timestamp provided, timestamp will be set to current time. **generate_confirmation_key(identity_secret: str, tag: str, timestamp: int = int(time.time())) -> bytes** Generate mobile device confirmation key for accepting trade offer. Default timestamp is current time. SteamChat methods ============== **send_message(steamid_64: str, text: str) -> requests.Response** Send the string contained in `text` to the desired `steamid_64`. `client.chat.send_message("[steamid]", "This is a message.")` **fetch_messages() -> dict** Returns a dictionary with all new sent and received messages: ``` { 'sent': [ {'partner': "[steamid]", 'message': "This is a message."} ], 'received': [] } ``` `client.chat.fetch_messages()` Asyncio ==== All methods that requires connection to steam network now have asyncio support (it uses [aiohttp]( https://github.com/aio-libs/aiohttp) ) and are asynchronous : `client`, `market`, `chat`. ```python from steampy.asyncsteampy.client import SteamClient as AsyncSteamClient ... async_steam_client = await AsyncSteamClient(self.credentials.api_key) await async_steam_client.login('MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') buy_order_id = "some_buy_order_id" response = await steam_client.market.cancel_buy_order(buy_order_id) await async_steam_client.close() ``` If you end your operations, ⚠️ `keep in mind`, you always need to close your `async_steam_client`. This will do `logout` and close `aiohttp` [session]( https://docs.aiohttp.org/en/stable/client_reference.html#client-session) properly. Also, you can `await async_steam_client.logout()` without closing session if you need this for some reason. Async context manager usage example: ```python async with AsyncSteamClient(self.credentials.api_key,'MY_USERNAME', 'MY_PASSWORD', 'PATH_TO_STEAMGUARD_FILE/DICT') as async_steam_client: await async_steam_client.do_what_you_need() ``` There you no need to call `close`, async context manager do it automatically when execution passes the block of code. Proxy support ==== Sync way, simple: 1. Create [session]( https://docs.python-requests.org/en/master/user/advanced/#session-objects) instance: ```python session_with_proxy = requests.Session() ``` 2. Update instance with your proxy url this way: ```python proxy = { 'http': 'proxy_type://proxy_url_with_or_no_auth', 'https': 'proxy_type://proxy_url_with_or_no_auth', # for steam you actually need this } session_with_proxy.proxies.update(proxy) ``` Async way is much complex, if proxy type is socks4/5 you should look at this small but precious [library]( https://github.com/romis2012/aiohttp-socks), if proxy type http/https or you dont like [aiohttp-socks]( https://github.com/romis2012/aiohttp-socks) you can use [aiohttp-proxy]( https://github.com/Skactor/aiohttp-proxy) instead. ```python connector = ProxyConnector.from_url('proxy_type://proxy_url_with_or_no_auth') session_with_proxy = aiohttp.ClientSession(connector=connector) ``` Finally, pass session object in `SteamClient`: ```python SteamClient(..., session=session_with_proxy) with SteamClient(..., session=session_with_proxy) as steam_client: ... ### async_steam_client = AsyncSteamClient(..., session=session_with_proxy) async with AsyncSteamClient(..., session=session_with_proxy) as async_steam_client: ... ``` Test ==== All public methods are documented and tested. `guard` module has unit tests, `client` uses an acceptance test. For the acceptance test you have to put `credentials.pwd` and `Steamguard` file into `test` directory Example `credentials.pwd` file: ``` account1 password1 api_key1 account2 password2 api_key2 ``` In some tests you also have to obtain `transaction_id`. You can do it by `SteamClient.get_trade_offers` or by logging manually into steam account in browser and get it from url In some tests you also have to obtain partner steam id. You can do it by by logging manually into steam account in browser and get it from url License ======= MIT License Copyright (c) 2016 [Michał Bukowski](gigibukson@gmail.com) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.