Centralizing API Logic When you fetch viral videos from 7 European regions, you end up calling the YouTube Data API from multiple scripts: the main fetcher, the virality scorer, the metadata enricher. At ViralVidVault , we built a Python client library that encapsulates retry logic, quota tracking, and region-aware caching. The Client Core import time import json import hashlib import requests from dataclasses import dataclass from typing import Optional @dataclass class ClientConfig : api_keys : list [ str ] # Multiple keys for rotation base_url : str = " https://www.googleapis.com/youtube/v3 " max_retries : int = 3 timeout : int = 15 quota_per_key : int = 10000 cache_ttl : int = 1800 # 30 min class QuotaExhaustedError ( Exception ): pass class YouTubeSDK : """ Multi-key YouTube client with automatic key rotation and caching. """ def __init__ ( self , config : ClientConfig ): self . config = config self . session = requests . Session () self . _key_index = 0 self .…