doorknock

Detect a website's anti-bot defenses and rate how hard it is to scrape — from the command line or from Python.

doorknock performs a single set of HTTP probes against a target URL and runs a battery of detectors that look for:

• WAFs / CDNs — Cloudflare, Akamai, Sucuri, Imperva (Incapsula), F5 BIG-IP, AWS WAF, Fastly, Azure Front Door, StackPath, Wallarm, Reblaze, Barracuda, …
• Bot management — DataDome, PerimeterX / HUMAN, Kasada, Shape Security (F5), Imperva ABP (Distil), Arkose Labs, Reblaze, Radware, Netacea, …
• CAPTCHAs — Google reCAPTCHA / reCAPTCHA Enterprise, hCaptcha, Cloudflare Turnstile, Arkose FunCaptcha, GeeTest, DataDome captcha, custom image captchas, …
• JavaScript challenges — Cloudflare "Just a moment", Incapsula challenges, Akamai sensor cookies, Kasada KPSDK, PerimeterX interstitials, "checking your browser" pages, SPA / client-only rendering
• Rate-limit signals — RateLimit-*, X-RateLimit-*, Retry-After, hostile statuses (403/406/429/503)
• User-Agent filtering — compares a no-UA probe against a browser-UA probe
• Cookie/session requirements — large initial cookie sets, CSRF/XSRF tokens, __Host- / __Secure- cookies
• TLS / HTTP version — HTTPS, HTTP/2 (relevant to JA3/JA4 fingerprinting)
• robots.txt rules — Disallow: / for everyone, scraper-targeted user agents
• Client-side fingerprinting — FingerprintJS, Castle, Sift, Forter, ThreatMetrix, iovation, custom canvas/WebGL/audio probes

Findings are weighted by severity and aggregated into a single scraping difficulty rating from EASY to EXTREME along with a 0–100 score.

Install

pip install doorknock

For colored, prettier CLI output you can also install the cli extras (uses Rich):

pip install "doorknock[cli]"

Requires Python 3.8+.

CLI

doorknock https://example.com

======================================================================
  Target:     https://example.com
  Final URL:  https://example.com/
  Status:     200
  Difficulty: EASY  (score 0/100)
======================================================================

  Looks easy to scrape. No meaningful anti-bot defenses were detected.
  A plain requests script with a polite User-Agent should work.

Useful flags:

You can also run it without installing the entry point:

python -m doorknock https://example.com --json

Library usage

from doorknock import scan

result = scan("https://example.com")

print(result.difficulty)            # Difficulty.EASY
print(result.score)                  # 0..100
print(result.summary)
for f in result.findings:
    print(f.severity.value, f.category.value, f.name)

The same data is available as a plain dict / JSON:

import json
print(json.dumps(result.to_dict(), indent=2))
# or
print(result.to_json())

For more control, use the class directly:

from doorknock import AntiBotScanner

scanner = AntiBotScanner(
    timeout=10,
    user_agent="my-bot/1.0",
    extra_headers={"Accept-Language": "en-GB,en;q=0.9"},
    check_robots=True,
    probe_no_user_agent=True,
)
result = scanner.scan("https://example.com")

Difficulty buckets

How the scoring works

Every finding has a severity (info, low, medium, high, critical) which maps to a weight. Weights are summed per category and capped so one chatty detector cannot dominate the result. A small "synergy bonus" is added when multiple serious categories show up together (e.g. bot management + CAPTCHA + fingerprinting), because layered defenses are meaningfully harder than a single layer.

What it does NOT do

• It does not attempt to bypass anything. It performs read-only HTTP requests (GET /, GET /robots.txt, plus a no-UA probe).
• It does not execute JavaScript. Findings come purely from headers, cookies, status codes, and the raw HTML body.
• It is a heuristic tool. Some defenses (TLS / JA3 fingerprinting, behavioral biometrics, server-side ML) cannot be observed from a single HTTP request and are inferred from vendor signatures. False negatives are possible — especially for in-house systems.
• Detection is best-effort: real-world sites mix vendors and rebrand things constantly.

Ethics & legality

Use this tool to evaluate sites you have permission to access, to assess your own infrastructure, or for security research. Respect robots.txt, terms of service, and applicable law in your jurisdiction.

License

MIT