CryptoExplorer 1.0.0

Simplified cryptocurrency and blockchain data extraction

Overview

The CryptoExplorer repository offers a unified interface to query blockchain data, monitor trading activities, retrieve exchange price histories, and access Bitcoin network health metrics. Explore and extend the modules to suit your specific use-case.

It enables you to:

• Retrieve swap transaction data from the blockchain.
• Extract and convert OHLCV price data via exchanges.
• Fetch comprehensive Bitcoin on-chain metrics.

Glossary

• swap: An action performed by a user when executing a trade on a DEX Exchange.
• txid: Transaction ID.

API Classes & Usage

AccountAPI

This high-level API handler chains multiple providers to retrieve swap transaction data from the blockchain.

Methods:

• get_wallet_swaps(wallet: str, coin_name: bool = False)
  Extracts all swap transactions for a wallet.
  Note: setting the coin_name param to True will include the names of the tokens involved.
• get_buys(wallet_address: str, asset_name: str = "WBTC")
  Retrieves buy transactions from the swap data for the specified asset.
• get_sells(wallet_address: str, asset_name: str = "WBTC")
  Retrieves sell transactions from the swap data for the specified asset.

Example:

from crypto_explorer import AccountAPI

api = AccountAPI(api_key="YOUR_MORALIS_API_KEY", verbose=True)
wallet = "0xYourWalletAddress"

# Retrieve all swap transactions with coin names
swaps = api.get_wallet_swaps(wallet, coin_name=True)

# Retrieve buy transactions for asset "WBTC"
buys = api.get_buys(wallet, asset_name="WBTC")

# Retrieve sell transactions for asset "WBTC"
sells = api.get_sells(wallet, asset_name="WBTC")

BlockscoutAPI

Provides methods to access swap data from the Blockscout API.

Methods:

• get_transactions(txid: str, coin_name: bool = False)
  Extracts swap transaction data for a specific txid.
• get_account_transactions(wallet: str, coin_names: bool = False)
  Retrieves all swap transactions for a wallet.

Note: setting the coin_name param to True will include the names of the tokens involved.

Example:

from crypto_explorer import BlockscoutAPI

blockscout = BlockscoutAPI(verbose=True)
txid = "0xTransactionIDExample"

# Get swap transaction details for a specific txid
transaction = blockscout.get_transactions(txid, coin_name=True)

# Get all swap transactions for a wallet
wallet_tx = blockscout.get_account_transactions("0xYourWalletAddress", coin_names=True)

MoralisAPI

Extracts swap transactions and historical token balance data using the Moralis API.

Methods:

• get_account_swaps(wallet: str, coin_name: bool = False, add_summary: bool = False)
  Retrieves all swap transactions (swaps) for a wallet.
  Note: setting the coin_name param to True will include the names of the tokens involved.
  Note 2: setting the add_summary param to True will includes transaction summaries.
• get_wallet_token_balances_history(wallet_address: str, token_address: str, kwargs)
  Retrieves a wallet’s historical token balances to track portfolio changes.

Example:

from crypto_explorer import MoralisAPI

moralis = MoralisAPI(verbose=True, api_key="YOUR_MORALIS_API_KEY")
wallet = "0xYourWalletAddress"

# Get swap transactions with coin names and summary
swaps = moralis.get_account_swaps(wallet, coin_name=True, add_summary=True)

# Get historical token balances (portfolio history)
history = moralis.get_wallet_token_balances_history(wallet, token_address="0xTokenAddress")

CcxtAPI

Retrieves OHLCV (price) market data from exchanges via the CCXT library.

Methods:

• get_all_klines(until: int | None = None)
  Extracts OHLCV price data for the configured symbol and timeframe.
• to_OHLCV()
  Converts the fetched OHLCV data into a pandas DataFrame.
  Note: Call get_all_klines before to_OHLCV to avoid a ValueError.

Example:

import ccxt
from crypto_explorer import CcxtAPI

# Create a CCXT API instance for BTCUSDT on Binance
ccxt_api = CcxtAPI("BTCUSDT", "2h", ccxt.binance(), verbose="Text")

# Fetch OHLCV price data
ccxt_api.get_all_klines()

# Convert fetched data to a DataFrame
ohlcv_df = ccxt_api.to_OHLCV().data_frame
print(ohlcv_df)

QuickNodeAPI

Extracts Bitcoin on-chain information using QuickNode endpoints.

Methods:

• get_blockchain_info()
  Extracts general on-chain Bitcoin information such as network type, block height, sync progress, and protocol upgrade status.
• get_block_stats(block_height: int)
  Extracts detailed Bitcoin block statistics including transaction fees, size metrics, UTXO changes, SegWit data, and economic figures (in satoshis).

Example:

from crypto_explorer import QuickNodeAPI

# List your QuickNode API URLs
api_keys = ["https://your.quicknode.endpoint"]

quicknode = QuickNodeAPI(api_keys, default_api_key_idx=0)

# Retrieve general Bitcoin blockchain information
info = quicknode.get_blockchain_info()
print(info)

# Retrieve statistics for a specific Bitcoin block
block_stats = quicknode.get_block_stats(680000)
print(block_stats)

Repository Structure

• api/:

  • account_api.py: Manages API handlers and chaining via the AccountAPI.
  • blockscout_api.py: Contains the BlockscoutAPI for accessing blockchain swap data.
  • ccxt_api.py: Provides the CcxtAPI to extract market data (OHLCV) from exchanges.
  • moralis_api.py: Implements the MoralisAPI for querying swap transactions and wallet token balances.
  • quicknode_api.py: Contains the QuickNodeAPI for Bitcoin on-chain information.
  • tests/: Unit tests for modules in the api/ directory.

• custom_exceptions/: Custom exception classes.

• utils/: Utility functions and classes (e.g., time conversions, logging, kline utilities).

• tests/: General unit tests for repository functionality.

Tests

Unit tests are provided in the tests/ directories within each module.

To run the tests, execute:

python -m pytest

Setup & Installation

1. Clone the repository:

git clone https://github.com/m-marqx/CryptoExplorer.git
cd CryptoExplorer 

2. Set up a virtual environment:

python -m venv venv
source venv/bin/activate  # For Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Note: Ensure you are using Python 3.11 or a compatible version.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.