Docket vs Screaming Frog
Screaming Frog is the better tool if you want raw crawl data and know exactly what to do with it. Docket is the better tool if you want to be told what to fix first. That is the whole difference, and which one is right depends on how much of the interpretation you want to do yourself.
What Screaming Frog does that Docket does not
Three things, and they are real:
- Rendering at scale, in the right engine. Screaming Frog renders with an integrated Chromium engine across an entire crawl — their page calls it the "integrated Chromium WRS". Docket renders in WebKit — the engine macOS already ships — and renders a sample, ten pages by default, enough to answer whether the site is client-rendered and what that costs. On a large React or Vue site, or for a bug that only appears in Chrome's renderer, Screaming Frog is the tool.
- Custom extraction. XPath, CSS and regex extraction pulls arbitrary fields out of a crawl — product prices, author names, whatever you define. Docket has no equivalent.
- Scale. Screaming Frog's paid licence lists no crawl limit; their page says the maximum "is dependent on allocated memory and storage", with a hybrid engine that spills to disk for large sites. Docket is bounded by design.
What Docket does that Screaming Frog does not
Screaming Frog tells you that 412 pages have a short title. It does not tell you whether that matters more than the noindex it also found, or which to do on Tuesday morning. Reviewers describe its lack of built-in interpretation as simultaneously its greatest strength and its most expensive characteristic — the power is proportional to your own skill and your own time.
Docket ranks every finding by impact against effort and sorts them into four phases: stop the bleeding, quick wins, build, polish. Each finding states what it costs you in plain language and carries the exact markup to paste.
Beyond the ordering, Docket audits three areas that Screaming Frog's own feature list does not cover. That is what their page advertises, not proof the tool cannot be made to do it — their custom extraction is powerful enough that a determined user could build some of this by hand:
- AI search visibility. Per-crawler access for ChatGPT, Perplexity, Claude
and Gemini, separating search crawlers from training crawlers. Whether pages are
server-rendered, since most AI crawlers do not execute JavaScript. Entity resolution via
sameAs. - Marketing conversion. Calls to action, above-the-fold value proposition, form friction, social proof, pricing transparency, message match between title and headline.
- Tracking readiness. Analytics coverage gaps, missing ad pixels, consent, and UTM parameters on internal links.
Side by side
| Docket | Screaming Frog | |
|---|---|---|
| Price | One-time | Free to 500 URLs, then $279/yr USD |
| Who the licence covers | You, on up to three of your machines | One user — their pricing page states that two users need two licences |
| Runs on | Your Mac | Your machine |
| Output | Ranked plan with fixes | Spreadsheet of crawl data |
| JavaScript rendering | Sampled, via WebKit | Yes, every page |
| Custom XPath extraction | No | Yes |
| hreflang reciprocity | Yes | Yes |
| AI crawler audit | Yes | Not listed |
| Conversion audit | Yes | Not listed |
| Local business SEO | Yes | Not listed |
| Client-ready PDF | Built in | Export and build it yourself |
| Scheduled re-audits | Yes, while the app is open | Scheduling in the paid tier, and it runs headless |
Where the technical depth is genuinely equal
Docket implements the checks Screaming Frog is specifically praised for, including the two that fail silently and that most tools miss:
- hreflang return tags. If page A declares B as its alternate and B does not declare A back, Google discards the whole cluster. Every tag looks correct in isolation, which is why this survives review.
- Conflicting canonicals. An HTML canonical that disagrees with the one in
the HTTP
Linkheader. The header usually wins, so the page consolidates to a URL nobody on the team chose — and the page source looks fine.
Docket's robots.txt parser also does full longest-match resolution with * and
$ support, which matters more than it sounds: the near-universal
Disallow: /wp-admin/ plus Allow: /wp-admin/admin-ajax.php pair is
judged wrongly by any parser that resolves rules in order.
Which one to pick
Choose Screaming Frog if you are a technical SEO, your sites are JavaScript-heavy, you need custom extraction, or you are crawling hundreds of thousands of URLs. It is the deeper instrument and its price-to-power ratio is unmatched.
Choose Docket if you need to hand someone a plan rather than a dataset, if you care about AI search visibility or whether your landing pages convert, or if you want a client-ready PDF without building one.
They are not mutually exclusive, and plenty of people will want both. If the site is large enough that crawl budget is the real question, the tool that answers it is neither of these: JetOctopus reads your server logs, which shows what Googlebot actually fetched rather than what your site would serve if asked.
Checked 10 August 2026. The factual claims about this product were read from its own pages on that date: renders with the "integrated Chromium WRS" (source); free tier limited to 500 URLs; paid crawl limit "Unlimited", with the maximum "dependent on allocated memory and storage" (source). Products change and pricing changes; if something here has gone out of date, tell us and it will be corrected. Everything else on this page is a comparison of approach, not a claim about their roadmap.
Docket is a one-time download for macOS. No account, no crawl credits, and the crawl runs
on your machine. Five optional checks fetch data it cannot produce alone; --offline
turns all five off. Download Docket →
Common questions
Is Docket a Screaming Frog alternative?
For prioritisation, reporting and non-technical users, yes. For JavaScript custom XPath extraction, rendering at scale and very large crawls, no — Screaming Frog does those better and Docket does not try to.
Does Docket render JavaScript like Screaming Frog?
Yes, through a WebKit helper, but only a small automatic sample of each crawl rather than every page. Screaming Frog renders across the whole crawl in its integrated Chromium engine, which is the better tool for a large single-page application.