Skip to main content
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

pip install invisible-puppeteer
python -m invisible_puppeteer fetch      # one-time download of the patched Firefox, sha256-verified

Requires Python 3.11 or newer. Supported platforms: Windows x86_64 / ARM64 (the x86_64 engine, under Windows' own emulation), Linux x86_64 / arm64.


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

git clone https://github.com/feder-cr/invisible_puppeteer && cd invisible_puppeteer
uv venv && uv pip install -e ".[dev]"
uv run pytest -q                      # unit
uv run pytest -q -m e2e               # against the real browser

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+

Metadata

Release files for invisible-puppeteer 0.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for invisible-puppeteer 0.3.2
File Size Uploaded
invisible_puppeteer-0.3.2.tar.gz 83.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for invisible-puppeteer 0.3.2
File Interpreter ABI Platform
invisible_puppeteer-0.3.2-py3-none-any.whl Python 3 none any Details

Total release size: 155.5 kB

Release files / invisible_puppeteer-0.3.2.tar.gz

Download URL invisible_puppeteer-0.3.2.tar.gz
Size 83.4 kB
Tags Source
SHA-256 checksum
How to use checksums
9423a94072b6dd7603a63a2d24c25bb6f05a55c4a167db07c55c12f2df951d6b
BLAKE2b-256 checksum
How to use checksums
87c6324e978eae6603d220f0231101c4837155b1d8fa2f3e12788173d19e203c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release files / invisible_puppeteer-0.3.2-py3-none-any.whl

Download URL invisible_puppeteer-0.3.2-py3-none-any.whl
Size 72.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
54464bc1885f0b8d581d389b82838229b3fa74e32ca4bb1340fb6c75d283cac1
BLAKE2b-256 checksum
How to use checksums
d1f701e4b4248f33e1584fed3147a1f7cae55405a9ff489c4a6d040b8cdb784c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release history Release notifications | RSS feed

0.8.0

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.4

2 release files

0.6.3

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.7

2 release files

0.3.6

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

This release

0.3.2 This release

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page