Shopify Access Token Regex for Python

What this pattern does

This page provides a comprehensive, battle-tested regular expression for matching shopify access token, ported and verified for Python. In security-sensitive code, using an unverified regex can open the door to both false positives and denial-of-service attacks. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.

Python Implementation

# Shopify Access Token
# ReDoS-safe | RegexVault — Security > API Keys & Tokens

import re

shopify_access_token_pattern = re.compile(r'^shpat_[a-fA-F0-9]{32}$|^shpca_[a-fA-F0-9]{32}$|^shppa_[a-fA-F0-9]{32}$|^shpss_[a-fA-F0-9]{32}$')

def validate_shopify_access_token(value: str) -> bool:
    return bool(shopify_access_token_pattern.fullmatch(value))

# Example
print(validate_shopify_access_token("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"))  # True

Test Cases

When to use this pattern

This pattern is drawn from the Security > API Keys & Tokens category and carries a ReDoS-safe certification. That matters for Python developers because particularly important in Python web servers where CPU-bound regex operations can stall concurrent request handling. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.

Common Pitfalls

Technical Notes

Shopify token prefixes: shpat_=access token, shpca_=custom app token, shppa_=partner app token, shpss_=shared secret. All are 32 hex chars after the prefix. Each is scoped to a specific store.