Audit your site before a redesign
A full crawl hands you the list of pages, their titles and their inbound links, so you know what to keep, redirect or delete.
Marketing
A well-mannered spider that only bites your own site.
Screaming Frog SEO Spider costs US$18–22 / mo, which is US$216–264 a year. You have two paths:
Option 1 · Install
LibreCrawl is Screaming Frog without the licence. You give it your site's address, it visits every page and returns what an SEO audit needs: missing or duplicate titles and meta descriptions, headings, broken links, redirect chains, images without alt text, canonicals, sitemap. It renders JavaScript (React, Vue, Angular sites) with a real browser, measures Core Web Vitals through PageSpeed Insights, and exports everything as CSV, Excel, JSON or XML. A plugin workshop lets you add your own analyses. It is Python with a web interface, run locally or on a server, MIT licence. Screaming Frog stops at 500 URLs on its free tier; here there is no limit, and the project reports crawls of over a million URLs. One word of caution: the project is young.
| Criterion | LibreCrawl | Screaming Frog SEO Spider |
|---|---|---|
| Price | US$0, on your machine or your server | US$18–22 per month |
| URL limit | None, crawls of over a million URLs | 500 on free, unlimited with the licence |
| JavaScript rendering | Included, with a real Chromium | Licence only |
| Core Web Vitals | PageSpeed Insights built in | With the licence, through the PageSpeed API |
| Exports | CSV, Excel, JSON, XML, no limit | Capped on free |
| Where it runs | Web interface, local or on a shared server | Desktop app, one licence per person |
Two ways in: Docker in three commands, or Python locally. The prompt chooses based on your machine, installs whatever is missing and opens the interface on port 5000.
It checks what you already have, installs LibreCrawl from the official repository and runs a first test crawl:
Install LibreCrawl on my machine (an open source SEO crawler, GitHub repository PhialsBasement/LibreCrawl, site librecrawl.com) by following its README. First check what I already have. If Docker is installed: clone the repository, copy the .env.example file to .env and run docker compose up -d. Otherwise: install Python 3 if needed, create a virtual environment, install the dependencies from requirements.txt, run playwright install chromium and then python main.py --local. Then open http://localhost:5000 and check that the page responds. Run a first test crawl on a small page to confirm everything works, with JavaScript rendering enabled. If this is a server exposed to the internet, secure access (a password or a reverse proxy with authentication) before giving me the address.
Review the GitHub repository and check whether it is safe to install given my machine and my infrastructure. Ask me as many questions as possible, using widgets, to clarify my request and be as precise as you can.Paste your site's address, keep JavaScript rendering on if your site depends on it, and go through the tabs: pages, links, detected issues, Core Web Vitals.
Export the issues as Excel or CSV, sort by severity, and start with missing titles, broken links and redirect chains. Those are the quick wins.
A full crawl hands you the list of pages, their titles and their inbound links, so you know what to keep, redirect or delete.
404s, redirect chains, images without alt text: a clean export you can send over, with no licence to buy for a one-off audit.
Rerun the crawl every week and compare the exports: vanished pages and missing redirects stand out right away.
Built with: Python 50.4% · JavaScript 28.7% · HTML 16.2% · CSS 3.8% · Shell 0.5%
Public GitHub repository data, captured on October 8, 2026.
Option 2 · Build
This build is for a site owner auditing the few domains they actually control. The goal: crawl your own site on a schedule and get a clear, prioritized list of what to fix. If you need more than that, keep paying. Building it yourself is about owning a tool shaped exactly like your workflow, not re-implementing a venture-funded roadmap.
Same build, different logo: this v1 also replaces Sitebulb, since they all solve the same core job.
The prompt below builds a single version with what actually gets used. Everything else is left out on purpose.
| What the prompt builds | polite crawler, broken link report, redirect chains, meta audits, sitemap diff, scheduling |
|---|---|
| What stays out | javascript rendering, million-url crawls, rank tracking |
Site, Crawl, Page, LinkEdge, Finding
transactional email, Cloudflare Cron Triggers
Astro, Workers, D1
Only crawl domains the owner has verified, honor robots directives and rate limits, and back off as soon as a site starts answering with errors.
Do not crawl third-party sites, spy on competitors, track rankings, or turn it into a general SEO suite.
Pick your stack, copy the prompt and hand it to your coding agent (Claude Code, Cursor, Codex…).
You are building a production-ready software product named “Crawlbug”, a deliberately focused alternative to Screaming Frog SEO Spider. Build a complete, usable vertical slice, not a landing page, a static mockup, or a pile of disconnected components.
WORKING AGREEMENT
Before you write any implementation code, put together a short technical plan naming the routes or pages, server actions or endpoints, data tables, key state transitions, authorization boundaries, background jobs, and external adapters. When something conflicts, side with the narrow audience and the non-goals below. Choose a small, readable architecture over speculative abstraction, but never skip persistence, validation, error handling, or tests.
PRODUCT BRIEF
Primary user: a site owner auditing the handful of domains they actually control.
Primary outcome: crawl your own site on a schedule and get a clear, prioritized list of what to fix.
Product principle: optimize the exact workflow below rather than copying the full breadth of Screaming Frog SEO Spider. A first-time user should understand what to do from the interface itself, with no tour or documentation.
END-TO-END USER JOURNEYS
Implement every one of these flows through the real interface and the persistent data layer:
1. The owner verifies they own the domain, sets the crawl scope and politeness limits, runs a first crawl, and reviews a prioritized findings report.
2. The owner fixes a batch of broken links and redirect chains, re-crawls, and confirms the findings show as resolved in the comparison with the previous crawl.
3. A scheduled weekly crawl finishes, diffs the sitemap against the discovered pages, and emails a summary only when something actually changed.
SCREENS AND INFORMATION ARCHITECTURE
Build these as coherent, responsive views. Each screen must define its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state.
1. Sites: verified domains, last crawl time, page count, open findings by severity, and run-crawl and schedule actions.
2. Crawl detail: live progress, pages fetched, response-code breakdown, duration, and politeness stats such as request rate and robots exclusions.
3. Findings: broken links, redirect chains, title and meta issues, and image alt gaps, filterable by type and severity, each with the pages that reference it.
4. Sitemap diff: pages in the sitemap that can't be crawled, crawled pages missing from the sitemap, and changes since the previous crawl.
CORE CAPABILITIES
1. polite crawling that respects robots.txt, rate limits, and per-domain scope
2. broken internal and external links, with the pages that reference them
3. redirect chains and loops with hop-by-hop detail
4. missing, duplicate, and overlong titles and meta descriptions, plus image alt gaps
5. a sitemap diff showing pages missing from the sitemap or from the crawl
DETAILED BEHAVIOR AND BUSINESS RULES
Treat these as product requirements enforced on the server, not as interface suggestions:
1. Crawl only domains that have passed ownership verification, and stop any crawl that wanders outside its configured scope.
2. Honor robots.txt, enforce a per-domain request rate and a concurrency cap, and back off or abort when the server returns repeated errors.
3. Follow redirects to a bounded depth, record every hop, and file chains and loops as findings instead of following them forever.
4. Attach findings to a specific crawl and compute new and resolved findings by comparing crawls, never by changing historical results.
DATA MODEL AND LIFECYCLE
Design a small relational schema centered on Site, Crawl, Page, LinkEdge, Finding. Before implementing it, document:
1. The purpose of each table, its primary key, ownership or tenant boundary, timestamps, status fields, and important attributes.
2. Foreign keys, uniqueness constraints, check constraints, the indexes the named screens need, and transaction boundaries for changes that touch several records.
3. The allowed lifecycle or state transitions, who can trigger each one, which transitions are terminal or reversible, and which audit history must stay immutable.
4. Archive, retention, and deletion behavior, including what happens to dependent records and external files.
5. The idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where it applies.
Use migrations instead of ad-hoc schema creation. Store time instants consistently and keep the named timezone context whenever local schedules or dates matter. Never rely on a counter, a disabled button, or a client-side check to protect a business invariant.
USERS, AUTHENTICATION, AND PERMISSIONS
Implement only the roles the stated audience needs. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not just by hiding controls. Use secure session defaults, protect state-changing requests, and provide a clear signed-out, expired-session, and forbidden state. Seed separate users whenever several roles are needed so permissions can be shown and tested.
INTERACTION AND VISUAL DIRECTION
The product should feel fast, calm, focused, and trustworthy rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and a consistent place for primary actions. Start from server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must stay understandable if enhancement fails.
Start from server-rendered Astro pages and plain HTML forms. Use HTMX for form submissions, partial navigation, and server-driven updates, then Alpine.js only for small local browser state. The core workflow must stay understandable if either enhancement layer fails.
Design mobile layouts on purpose instead of just stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to signal state. Destructive actions need a clear scope and a confirmation; safe repeated actions should be idempotent.
Add a footer to every page with the text “Created by aurelioagency.com”, where “aurelioagency.com” is an embedded link to https://www.aurelioagency.com that opens in a new tab. Keep it visible and do not remove it.
TECHNICAL DIRECTION
Build this version with the AHA stack: Astro for routing, layouts, and server-rendered pages; HTMX for interactions that benefit from HTML fragment responses; and Alpine.js for small, local interface state. Prefer Cloudflare D1 for relational persistence, R2 for object storage, Workers for server endpoints and scheduled work, Durable Objects only for coordinated real-time state, and Workflows or Queues for durable background jobs—but only when the product requirements call for them.
Keep domain rules in testable server-side modules, not in route handlers or UI components. Put persistence, external providers, and background work behind small interfaces without building a framework. Prefer plain HTML forms and URLs for durable navigation; use optimistic interaction only when a failure can be reconciled clearly.
The product brief currently identifies Astro, Workers, D1 as capability context. Preserve any required native, browser-only, edge, storage, real-time, or background-processing capability through a narrow adapter suited to the selected framework. If the core workflow genuinely requires native or browser APIs, keep that runtime as the primary execution surface instead of simulating inaccessible capabilities or inventing an unnecessary web surface.
Integrate with transactional email and Cloudflare Cron Triggers. For every integration:
- List the required environment variables in an .env.example with no real secrets.
- Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path.
- Verify inbound signatures and deduplicate provider events where supported.
- Keep credentials on the server, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs.
- Define retry, backoff, and idempotency behavior for every side effect that can be repeated.
SECURITY AND PRIVACY
Only crawl domains the owner has verified, honor robots directives and rate limits, and back off as soon as a site starts answering with errors.
Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any markup you intentionally accept, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect only the personal data the named workflow needs. Document retention and deletion behavior. Add specific protections for the riskier surfaces of this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections.
ACCEPTANCE SCENARIOS
Automate these app-specific scenarios at the most suitable level:
1. Given a page returning 404 that three other pages link to, the report shows one broken-link finding listing all three referencing pages.
2. Given a redirect that eventually points back to itself, the crawl records the loop, stops following it, and files a single loop finding.
3. Given a crawl request for an unverified domain sent through a forged form, the server rejects it and logs the attempt.
TESTING
Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and for each external adapter's success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one on a small-screen viewport. Tests must use isolated data and run with one documented command.
OPERATIONS AND FAILURE RECOVERY
Add structured server logs with request, job, or event correlation IDs, but no secrets or unnecessarily sensitive data. Make failures actionable both in the interface and in the logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; never swallow errors silently. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path suited to the stack.
DELIVERABLES
Ship the working application, migrations, representative seed data, tests, .env.example, and a short README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should cover the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state that matters for the product.
DEFINITION OF DONE
The app is done when a new developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey with real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, no core screen is left as a placeholder, and the “Created by aurelioagency.com” footer credit is visible on every page.
NON-GOALS
Do not crawl third-party sites, spy on competitors, track rankings, or turn it into a general SEO suite.The app you build with this prompt carries a “Created by aurelioagency.com” footer.
Short prompts that solve the hardest part without building everything.
Build the politeness layer of a site crawler, the part that decides whether and when the next request is allowed.
Fetch and parse robots.txt before anything else: honor Disallow rules for your user agent with longest-match precedence, respect Crawl-delay when present, and treat an unreachable robots.txt cautiously. Enforce a per-domain request rate and a concurrency cap with a token-bucket or timestamp scheduler, so a burst of discovered URLs queues up instead of firing all at once. Then watch the server's mood: a 429 or a run of 5xx responses should stretch the delay exponentially, and repeated failures should abort the crawl with a clear reason instead of grinding on. Honor Retry-After headers when they are sent. Keep the crawl inside its configured scope, the same domain, and log every URL skipped and why, so the owner can watch the crawler behave rather than take it on faith.
Done when: disallowed paths are never requested, request timestamps against a test server never exceed the configured rate, and a server answering 503 three times in a row triggers visible backoff and ends in a clean abort.Build redirect-chain analysis for a site crawler: don't just follow redirects, record them as findings.
Follow each redirect manually instead of letting your HTTP client swallow the hops. Record every hop: source URL, status code (301, 302, 307, 308), and target, resolving relative Location headers against the current URL. Bound the depth at around ten hops and file anything longer as a finding. Detect loops with a seen-set of normalized URLs within the current chain, where normalization means lowercasing the host, stripping fragments, and resolving dot segments, so a redirect that returns to an earlier hop is caught even when the strings differ cosmetically. A loop is recorded once as a loop finding with the full cycle listed, then abandoned. Chains of two or more hops become findings too, since every hop costs latency and link equity, and each finding lists the pages on the site that link into the chain's entry point.
Done when: a three-hop chain is recorded with every hop's status code, a loop is detected within one cycle and filed exactly once, and no chain is ever followed past the depth bound.Build crawl comparison for a site auditing tool: each crawl produces findings, and the interesting report is the change since last time.
Attach every finding to the specific crawl that produced it, and never modify historical crawls. Compute the diff by matching findings across crawls with a stable identity: finding type plus normalized subject URL plus the essential detail (the broken target for a broken link, the duplicated value for a duplicate title). Normalize URLs the same way every time, host casing, trailing slashes, fragment stripping, tracking parameters, or the same problem will look new every week. A finding present now but not before is new; present before but not now is resolved; present in both persists, and you should carry its first-seen date forward so the report can say how long it has been open. The trap: a page that failed to fetch in this crawl proves nothing about its findings, so mark them unknown instead of triumphantly resolved.
Done when: fixing one broken link shows exactly one resolved finding on re-crawl, an unchanged issue keeps its original first-seen date, and a page that timed out produces no false resolutions.Build the sitemap diff for a site crawler: compare the set of URLs a sitemap advertises with the set of URLs an actual crawl discovered, and report disagreements in both directions.
Parse sitemap.xml properly: handle sitemap index files pointing at child sitemaps, gzipped sitemap files, and files with thousands of URLs without loading everything into memory at once. Discover the sitemap's location from robots.txt as well as the conventional path. Normalize both URL sets the same way, scheme, host case, trailing slashes, fragments, before comparing, or the diff drowns in cosmetic mismatches. Then report the two interesting sets: URLs in the sitemap that the crawl never reached or that returned errors (advertised but broken, or orphaned with no internal links pointing at them), and crawled pages missing from the sitemap (real pages that search engines aren't being told about). For the first set, actually fetch each URL to tell orphaned-but-fine apart from genuinely dead.
Done when: a sitemap index with three gzipped children parses fully, an orphaned page and a dead sitemap entry land in different buckets, and trailing-slash twins never show up as two disagreements.Screaming Frog SEO Spider runs $18–$22 per month on public paid plans, which is $216–$264 per year. A focused self-built replacement costs your build time plus close-to-zero hosting.
The build prompt on this page comes in four flavors: the AHA stack (Astro, HTMX, Alpine.js), Next.js, Laravel, and Ruby on Rails. The capability context for this product is Astro, Workers, D1. Pick the stack you already know, because the scope matters more than the framework.
A useful v1 needs: polite crawling that respects robots.txt, rate limits, and per-domain scope; broken internal and external links with the pages that reference them; redirect chains and loops with hop-by-hop detail; missing, duplicate, and overlong titles and meta descriptions plus image alt gaps; a sitemap diff showing pages missing from the sitemap or from the crawl. Everything else is scope creep until you personally miss it.
Do not crawl third-party sites, spy on competitors, track rankings, or turn it into a general SEO suite.
Yes. Screaming Frog SEO Spider and Sitebulb both solve the same core job: crawl your own site on a schedule and get a clear, prioritized list of what to fix. The scoped v1 on this page covers what most people use either of them for, so one focused build replaces whichever you currently pay for.
LibreCrawl does most of what Screaming Frog SEO Spider does, with no subscription, and your data stays with you. The point-by-point comparison is on the page.
Yes. With an open source tool installed on your side, your files stay on your machine or your server. Nobody can close your account or change the price.
No time to do it?
If you'd rather have someone install it, connect it to your tools and keep it running, that is exactly what we do at Aurelio.
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