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invisible_puppeteer, Puppeteer's API in Python on an anti-detect Firefox. An animation: the import that changes, the fingerprint set inside the engine, a mouse that moves like a hand, and the options for a reproducible run.

Puppeteer gets caught by anti-bots and captchas.
This one runs on an anti-detect Firefox with an undetected fingerprint, compatible with your existing Puppeteer code in Python.

How it works

Anti-bots ask two questions, and reCAPTCHA, hCaptcha and Cloudflare Turnstile score the answers. invisible_puppeteer answers yes to both.

1. Is this a real browser? Yes. It is Firefox, patched at the C++ source level.

  • The browser fingerprint is set inside the engine, not injected into the page: navigator, screen, GPU/WebGL, canvas, fonts, audio, WebRTC, timezone, network. Headless or headed, the same values either way.
  • No Chromium, no DevTools protocol and no JavaScript shim for a page to find.

2. Is a real person using it? Yes. The actions are humanized in the driver.

  • Every click, hover and drag follows a natural mouse path with human timing, no teleporting cursor.
  • Input goes through the browser's real input path, so the page sees trusted events.

Install

Windows, in PowerShell:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
$env:Path = "$env:USERPROFILE\.local\bin;$env:Path"
uv init --python ">=3.11" my-project
cd my-project
uv add invisible-puppeteer
uv run invisible-puppeteer fetch

Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env
uv init --python ">=3.11" my-project
cd my-project
uv add invisible-puppeteer
uv run invisible-puppeteer fetch

Supported platforms: Windows x86_64 / ARM64 (the x86_64 engine, under Windows' own emulation), Linux x86_64 / arm64.

Then save one of the examples below as main.py in my-project and run it with uv run main.py.


Usage

Puppeteer's API in Python, with no code changes. The same launch, Browser, Page and ElementHandle as pyppeteer, Puppeteer's Python port. If you already use it, switching is the import:

- from pyppeteer import launch
+ from invisible_puppeteer import launch
import asyncio
from invisible_puppeteer import launch

async def main():
    browser = await launch()
    page = await browser.newPage()
    await page.goto("https://example.com")
    await page.click("a")          # the mouse arcs to the link
    print("seed =", browser.seed)  # log it to replay the run
    await browser.close()

asyncio.run(main())

Every session gets a distinct fingerprint (GPU, audio, fonts, screen, ~200 fields). Do not install pyppeteer alongside it: this package already implements its API.

Options

browser = await launch(
    seed=42,                        # same seed, same fingerprint, every run
    proxy={"server": "socks5://host:1080", "username": "u", "password": "p"},
    timezone="America/New_York",    # default: derived from the proxy's exit IP
    pin={"screen.width": 2560, "screen.height": 1440},   # force fields, the rest stays seed-derived
    headless=True,                  # the default: hidden desktop, real rendering, same fingerprint as headed
    userDataDir="./profile",        # cookies and storage survive the run
)

Proxies can be socks5, socks4, http or https, and DNS goes through them too. The viewport defaults to the fingerprint's screen size instead of Puppeteer's 800x600. The fields you can pin are the same as in invisible_playwright: pinning.

CLI

invisible-puppeteer fetch      # download the engine if missing, check every cached one, print the path
invisible-puppeteer version    # wrapper, core and engine versions

Switching from another tool?

Development

The setup and the test commands are in CONTRIBUTING.md.

License

MIT, see LICENSE. The Juggler client it drives the browser with lives in invisible-core, which carries two files taken from Playwright's driver under Apache-2.0. The patched Firefox binary is MPL-2.0, built from feder-cr/firefox_antidetect_patch.

Disclaimer

This project is for educational purposes only. It is provided as-is, with no warranties. I take no responsibility for how it is used. Use it at your own risk and in compliance with the laws of your jurisdiction.


Built by Federico Elia  LinkedIn

tests License: MIT Python 3.11+

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