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PruneSEO

Indexation audit for large websites. Find the URLs Google isn't indexing and turn them into a cleanup plan.

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PruneSEO crawler architecture

From URL discovery toactionable SEO insights

See how PruneSEO discovers URLs, analyzes technical SEO signals, groups issues, and helps you decide what to fix next.

Collection and analysis

STEP 01

Add Website

Define the website and its allowed crawl scope.

Validate and normalize the URL
Check permissions and plan limits
Configure public or verified access
STEP 02

Initialize Crawl

Create a crawl run with explicit limits and settings.

Create the crawl run record
Apply URL and depth limits
Enqueue initial discovery tasks
STEP 03

Discover URLs

Build the URL inventory from permitted sources.

Parse robots.txt and XML sitemaps
Extract links from fetched HTML
Normalize and deduplicate URLs
STEP 04

Fetch & Analyze

Fetch eligible URLs and extract technical SEO signals.

Check HTTP status and redirects
Extract titles, headings and canonicals
Inspect robots directives and links
STEP 05

Store Results

Persist crawl evidence and track run progress.

Save URL inventory and fetch results
Store extracted SEO signals
Record errors, timings and progress

Failure handling

Transient failures can be retried with backoff. Permanent failures are recorded without blocking the entire crawl.

Retry

Timeouts and temporary errors

Record

Final status and failure reason

Protect

Block unsafe targets and redirects

Persisted crawl evidence

Processing and delivery

STEP 06

Process & Deduplicate

Group repeated findings and identify URL patterns.

Apply deterministic SEO rules
Cluster duplicate and related issues
Calculate impact and confidence
STEP 07

Generate Report

Turn crawl evidence into useful findings.

Summarize issues and affected URLs
Explain evidence and recommendations
Prepare exports and report summaries
STEP 08

Access Results

Review findings, prioritize fixes and recrawl.

Browse URLs and issue clusters
Export findings for implementation
Compare results across crawl runs

One crawl. Clear next steps.

Turn raw crawl data into evidence-backed decisions.

URL explorer

Inspect individual URLs and the signals collected.

Prioritized findings

Review issue severity, evidence and suggested actions.

Exports and comparisons

Export findings and compare completed crawl runs.

Under the hood

Crawler infrastructure

Durable, observable processing

Next.js app

The dashboard people use. A client of the Go API, not a second tier.

Go API and crawler

One process: the API, the crawl workers and the finalizer.

PostgreSQL

Websites, crawl runs, the durable task queue and the findings.

Security controls

Scope validation, SSRF defense and rate limits.

There is no second backend. The Next.js app talks to the Go API over HTTP, and the crawler works from the same Postgres queue: a task is a row, leased by a worker, and reclaimed if the worker dies.

PruneSEO reports observed crawl signals and clearly labels inferred risks. A crawl is self-contained and does not require access to a search engine account. Website changes are reviewed and applied by the site owner.