Skip to main content

Enterprise-grade Playwright wrapper for e-commerce automation with stealth CDP integration.

Project description

Finally, a Playwright wrapper that survives E-commerce anti-bot probes.

Build Passing PyPI Version Python 3.10+ License Platform

undetected-playwright-ecom is a production-ready Python library that connects Playwright to hardened browser profiles over CDP — built for checkout automation, inventory monitoring, and high-volume e-commerce workflows that must survive Cloudflare Turnstile, Datadome, Shopify, and Stripe fraud systems.


The Problem

Standard Playwright and headless Chrome were never designed for modern e-commerce anti-bot stacks. When you launch a vanilla browser, several signals leak immediately:

Signal What happens
navigator.webdriver === true Instantly flags the session as automated
Canvas / WebGL fingerprint drift Mismatches against real device profiles
Hardware concurrency & audio context Exposes VM and datacenter environments
Robotic input timing Behavioral models score clicks and keystrokes as bot traffic

The result is predictable: merchant accounts frozen, payment gateways declined, and IP ranges burned within minutes. Rotating proxies alone does not fix this — fraud engines correlate TLS, GPU, and behavioral signals together. You need kernel-level fingerprint consistency and human-like interaction patterns.


Stealth Architecture

undetected-playwright-ecom does not spawn detectable local Chromium. It attaches to an already-running stealth profile and routes your automation through it.

flowchart LR
    A[Automation Script] --> B[StealthBrowser Core]
    B --> C[Multilogin Local API<br/>Port 35000]
    C --> D[Target Site]

    style A fill:#1e293b,stroke:#38bdf8,color:#f8fafc
    style B fill:#0f172a,stroke:#22c55e,color:#f8fafc
    style C fill:#0f172a,stroke:#a855f7,color:#f8fafc
    style D fill:#1e293b,stroke:#f97316,color:#f8fafc
  1. Your script calls StealthBrowser.connect(port=35000).
  2. StealthBrowser Core opens a CDP session via Playwright's connect_over_cdp.
  3. Multilogin Local API serves a hardware-bound browser profile with spoofed fingerprints.
  4. Target Site sees a consistent, human-grade session — not a datacenter bot.

Features

Module Purpose
StealthSession All-in-one facade — connect, navigate, audit, cookies
StealthBrowser CDP connector for Multilogin X stealth profiles
HumanEmulator Behavioral typing, scrolling, and Bézier clicking
ChallengeWatcher Wait for Turnstile tokens / Datadome cookies
SessionManager Proxy validation and cookie inject/extract
FingerprintAuditor Programmatic WebGL + webdriver stealth scoring
StealthLogger Color-coded enterprise telemetry
stealth-ecom CLI Terminal tools: verify, proxy, version

Behavioral Stealth — Real Value, Not Theater

Anti-bot systems no longer rely on IP alone. They model how users interact. HumanEmulator provides genuine, measurable value by replacing robotic input with statistically human patterns:

human_type(selector, text)

  • Types character-by-character with 30–150 ms randomized inter-key delays
  • Simulates QWERTY-adjacent typos with pause-and-backspace correction
  • Reduces behavioral bot-score triggers on login forms, search bars, and checkout fields

human_click(selector)

  • Approaches the target along a cubic Bézier curve with jittered control points
  • Uses 18–42 micro-steps with variable timing before clicking
  • Clicks with slight offset from element center to avoid bot centroid detection

human_scroll()

  • Scrolls in irregular pixel chunks (80–320 px) with smooth motion
  • Pauses 1–3 seconds between scroll steps to mimic content reading
  • Lowers session anomaly scores on long product pages and policy screens
from undetected_playwright_ecom import StealthBrowser, HumanEmulator

browser = StealthBrowser()
session = browser.connect(port=35000)
page = session.contexts[0].pages[0]

human = HumanEmulator(page)
human.human_scroll()
human.human_type("input[name='email']", "buyer@example.com")

Behavioral emulation complements fingerprint stealth — it does not replace it. Always run inside a Multilogin X profile.


Installation

pip install undetected-playwright-ecom
playwright install chromium

Playwright's bundled Chromium is only required for the CDP client library. Stealth sessions must execute inside Multilogin X.


Quick Start

One-liner facade (recommended)

from undetected_playwright_ecom import StealthSession

with StealthSession(port=35000) as session:
    session.navigate("https://example-shop.com", audit=True, scroll=True)
    session.human.human_click("button.add-to-cart")
    session.watcher.wait_for_turnstile(timeout_s=30)

CLI

pip install undetected-playwright-ecom
stealth-ecom verify --port 35000 --scroll
stealth-ecom proxy --proxy http://user:pass@host:8080

Low-level API

from undetected_playwright_ecom import StealthBrowser, StealthLogger

log = StealthLogger(component="Checkout")

try:
    with StealthBrowser() as stealth:
        stealth.connect(port=35000)
        page = stealth.get_page()
        page.goto("https://example-shop.com")
        log.success("Stealth session active")
except Exception as exc:
    log.critical(f"Session failed: {exc}")

Verify your setup before going live

python examples/verify_stealth_score.py

Expected output when properly configured:

[SUCCESS] 🛡️ Setup Secure. Enterprise Stealth Active.

Enterprise Bypassing

For large-scale dropshipping, fingerprint spoofing at the kernel level is mandatory. We recommend Multilogin X.

  • 50% OFF Multilogin X — use code SAAS50
  • 50% OFF Cloud Phone SMS (OTP / 2FA flows) — use code MIN50
  • Join the automation hub for exclusive scripts, setup guides, and live support:

https://t.me/Multilogin_Scripts_Bot

Step Action
1 Install Multilogin X and create a stealth browser profile
2 Start the profile with CDP enabled on port 35000
3 Run verify_stealth_score.py to confirm navigator.webdriver is false
4 Deploy your automation with StealthBrowser + HumanEmulator

API Reference

from undetected_playwright_ecom import (
    StealthBrowser,
    HumanEmulator,
    SessionManager,
    StealthLogger,
    StealthCoreNotDetectedError,
    FingerprintLeakWarning,
    ProxyLeakSecurityError,
)
Class / Symbol Description
StealthBrowser.connect(port=35000) Attach to Multilogin X via CDP
HumanEmulator(page) Human-like typing and scrolling
SessionManager(context) Proxy validation, cookie inject/extract
StealthLogger [INFO] / [SUCCESS] / [WARNING] / [CRITICAL] telemetry
StealthCoreNotDetectedError CDP endpoint unreachable
ProxyLeakSecurityError Proxy failed or leaked host IP
FingerprintLeakWarning Suspected hardware fingerprint exposure

Examples

Script Description
examples/bypass_cloudflare_turnstile.py Turnstile-protected page with human scrolling
examples/shopify_checkout_automation.py Checkout field automation with human_type
examples/verify_stealth_score.py Pre-flight WebGL + webdriver probe
examples/full_ecom_workflow.py End-to-end StealthSession demo

Requirements

Component Required
Python 3.8+ (3.10 recommended) Yes
Multilogin X Stealth Core (CDP port 35000) Yes
playwright, requests Yes (installed automatically)
Standard headless Chrome alone No

Publishing to PyPI

GitHub Actions (recommended)

  1. Push repo to GitHub
  2. Add secret PYPI_API_TOKEN in Settings → Secrets → Actions
  3. Create a release tag:
git tag v1.2.0
git push origin v1.2.0

Or trigger manually: Actions → Publish to PyPI → Run workflow (type publish).

Local publish (Windows)

$env:PYPI_API_TOKEN = "pypi-YOUR_TOKEN"
.\scripts\publish.ps1

Contributing

Pull requests and issue reports are welcome. Please run examples/verify_stealth_score.py against a Multilogin profile before submitting stealth-related changes.


License

MIT © Enterprise Automation Infra


Support the Project

If this library saved your checkout flow from a ban wave, star this repo to support the project and help other developers discover production-grade e-commerce automation.

For setup walkthroughs, discount codes, and the latest bypass playbooks, join the hub:

https://t.me/Multilogin_Scripts_Bot

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

undetected_playwright_ecom-1.2.0.tar.gz (28.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

undetected_playwright_ecom-1.2.0-py3-none-any.whl (29.5 kB view details)

Uploaded Python 3

File details

Details for the file undetected_playwright_ecom-1.2.0.tar.gz.

File metadata

File hashes

Hashes for undetected_playwright_ecom-1.2.0.tar.gz
Algorithm Hash digest
SHA256 835d2cedf91777e7429f7e797c82a0e7de557728f2a7cb1aa62d0c197dd98de8
MD5 33cbd798cba7a8daf0a4f172643072d3
BLAKE2b-256 6fe39d5c7b281dcee3d7e65c74c49277df93f7a387dd3f25869839929b52c6d2

See more details on using hashes here.

File details

Details for the file undetected_playwright_ecom-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for undetected_playwright_ecom-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f2d1aed1d5afa6b2c65a82936d6f0042c85b6b9c7df5dc34edf5aad746249040
MD5 3e294056a85f8e8322879fddb8f01b4f
BLAKE2b-256 cffb4dac4167cdd99aabac5222a6e464d6183cb34f91af4888adbc9f9bee4fdc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page