CS2 Trade History Scrapers

A collection of standalone Python scripts that fetch your trade history from CS2 skin marketplaces and export it to CSV.

Each sub-folder is an independent project with its own dependencies and configuration.

Project	Platform	Auth method	Currency
csfloat/	CSFloat	Session cookie	USD
buff163/	Buff163	Cookie string	CNY to USD
dmarket/	DMarket	API headers	USD
lisskins/	Lis-Skins	Cookie string + User-Agent	USD

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Quick start

Each scraper follows the same three-step flow:

1. Install: create a venv and install requirements.txt
2. Configure: copy .env.example to .env and paste your credentials
3. Run: python scraper.py

Output is a CSV file in the same directory as the script.

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csfloat/

Fetches all verified trades via the CSFloat REST API.

Setup:

cd csfloat
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in CSFLOAT_SESSION

Run:

python scraper.py

Output: csfloat_history.csv

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buff163/

Scrapes buy and sell order history pages from Buff163. CNY prices are converted to USD via a live exchange rate API.

Setup:

cd buff163
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in BUFF_COOKIE

Run:

python scraper.py

Output: buff163_history.csv

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dmarket/

Fetches trade history from the DMarket exchange API using offset-based pagination.

Setup:

cd dmarket
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in DMARKET_AUTH, DMARKET_JKKAT, DMARKET_PAYMENT_SESSION_ID

Run:

python scraper.py

Output: dmarket_history.csv

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lisskins/

Scrapes the Lis-Skins profile history page using Chrome browser impersonation (curl_cffi) to bypass bot detection. Account currency must be set to USD.

Setup:

cd lisskins
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in LISSKINS_COOKIE and LISSKINS_USER_AGENT

Run:

python scraper.py

Output: lisskins_history.csv

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Requirements

• Python 3.10+
• Internet access (to reach marketplace APIs and exchange rate APIs)

CSV output format

Column	CSFloat	Buff163	DMarket	Lis-Skins
date	✓	✓	✓	✓
item_name	✓	✓	✓	✓
action	buy/sell	buy/sell	buy/sell	buy/sell
price_usd	✓	converted from CNY	✓	✓
original_price	✓	CNY amount	✓	n/a
original_currency	USD	CNY	USD	n/a
external_id	✓	✓	✓	✓