Steam trade bot python

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A Steam trading bot that I’ve programmed with Python.

MeridianGH/TradeBot

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README.md

This is a Steam trading bot that operates with TF2 items. Currently it only trades with keys. There are more items to come in the future. Maybe also a system to trade every item if the price is in the bots favor.

Since I just started learning Python this is my very first rather big project. Therefore, there are many bad habits or bad code to find that could be improved. Contact me if you find anything that I should know. I greatly appreciate any feedback! 😀

• Logging in to Steam API
• Fetching trade offers
• Calculating CSP and CBP of TF2 items
• Accepting / declining trade offers depending on offered / demanded currency
• more to come.

• This project heavily relies on the Python library steampy by bukson. I want to thank bukson for providing this library, which without it this project would be completely impossible!
• I am also using the steam library by Rossen Georgiev to access the chat in Steam. Thanks for providing this library!
• Also, the backpack.tf website which provides the prices for items (currently only keys) but without it I couldn’t expand the bot’s functionality.
• The Steam Web API helps at dealing with trade offers and using the Steam trading network

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A Steam trading bot that I’ve programmed with Python.

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steampy 0.80

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Uploaded 15 апр. 2023 г. source

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Uploaded 15 апр. 2023 г. py3

Хеши для steampy-0.80.tar.gz

Хеши для steampy-0.80.tar.gz

Алгоритм	Хеш-дайджест
SHA256	004b7faab5be960468c68a2e340eb706b67d2a58082cd1e4807b61dcc619b429	Копировать
MD5	6ccc632dd39b44d31ca9868f6ed8a354	Копировать
BLAKE2b-256	8f0b0ca803bd19eef48b227749b1feed19099d04052d8bccf742af44bff18ad1	Копировать

Хеши для steampy-0.80-py3-none-any.whl

Хеши для steampy-0.80-py3-none-any.whl

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SHA256	6eb0dbd17e0318f8d1a71d29b45f05f9b6b7371eb6fa44e2b755fb1fa9f7feed	Копировать
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Soniclev/steam-trade-bot

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README.md

You can check these functions in order to compute the market fee for any game. The compute_fee_from_payload and compute_fee_from_total functions will allow you to calculate the total cost, game fee, steam fee, and payload, given either the payload or total cost and an optional game fee. The default game fee is set to 0.1 and the steam fee is calculated as 5% of the payload. The output will be returned as a named tuple with fields (‘total’, ‘payload’, ‘game’, ‘steam’).

>>> compute_fee_from_payload(10.0) ComputedFee(total=11.5, payload=10.0, game=1.0, steam=0.5) >>> compute_fee_from_payload(10.0, 0.15) # for app_id=321360 ComputedFee(total=12.0, payload=10.0, game=1.5, steam=0.5) >>> compute_fee_from_total(11.5) ComputedFee(total=11.5, payload=10.0, game=1.0, steam=0.5) >>> compute_fee_from_total(12.0, 0.15) # for app_id=321360 ComputedFee(total=12.0, payload=10.0, game=1.5, steam=0.5)

PostgresSQL dump for all items that available on the Steam market

You can download the Steam market data dump covering the period from 2012-12 to 2022-11 from the following link: https://steam-bot-public.s3.eu-central-1.amazonaws.com/dump2.zip (619 MB, unzipped ~8GB). This dump includes information on all market item sales during this period and can be loaded into your PostgreSQL database to be used for analysis and research purposes. Also, you can check this notebook in order to see plots showing summarized sold items amount and knifes by cheap price covering the period.

Here’s a brief description of the tables:

game_table : Holds information about the games in the market. Has columns for the app ID (primary key) and the name of the game.

market_item_table : Holds information about the items available in the market. Has columns for the app ID (which is a foreign key to the game_table), market hash name (primary key), market fee, market marketable/tradable restrictions, and a flag indicating if the item is a commodity.

market_item_info_table : Holds information about the item’s sell price, sell listings, and the currency being used. Has columns for the app ID, market hash name, and currency (which is a foreign key to the currency table).

market_item_name_id_table : Holds information linking the market hash name of the item to its name ID. Has columns for the app ID, market hash name, and item name ID.

market_item_orders_table : Holds information about the orders of an item in the market. Has columns for the app ID, market hash name, currency (which is a foreign key to the currency table), timestamp, dump, buy/sell count, and buy/sell order.

market_item_sell_history_table : Holds information about the selling history of an item in the market. Has columns for the app ID, market hash name, currency (which is a foreign key to the currency table), timestamp, and dump.

To import the «dump2.sql» file into a PostgreSQL database using the command line, you can use the following command: psql -U [user] -d [database_name] -f [path_to_sql_file]

To import the «dump2.sql» file into your PostgreSQL database using DBeaver, follow these steps:

1. Open DBeaver and connect to your PostgreSQL database.
2. Right-click on the database name in the DB Navigator panel and select «Import» from the context menu.
3. In the «Import wizard» window, select the «SQL script» option.
4. Click «Next» and select the «dump2.sql» file.
5. On the next page, select the schema where you want to import the data.
6. Click «Start» to start the import process.

Note: The import process may take a while, depending on the size of the «dump2.sql» file and the performance of your database system.

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