crawlobserver

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 Go to latest Published: Mar 4, 2026 License: AGPL-3.0

README

CrawlObserver

Free, open-source SEO crawler built by SEObserver.
Extract 45+ SEO signals per page. Query millions of pages in milliseconds.

Quick Start · Web UI · CLI · Config · API · Contributing

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CrawlObserver Web UI

Why CrawlObserver?

At SEObserver, we crawl billions of pages. We built CrawlObserver because every SEO deserves a proper crawler — not a spreadsheet with 10,000 rows, not a SaaS with monthly limits. A real tool that runs on your machine, stores data in a columnar database, and lets you query millions of pages in milliseconds.

We're giving it to the community for free. Use it, break it, improve it.

What it does

  • Crawls websites following internal links from seed URLs
  • Extracts 45+ SEO signals per page (title, canonical, meta tags, headings, hreflang, Open Graph, schema.org, images, links, indexability...)
  • Respects robots.txt and per-host crawl delays
  • Tracks redirect chains, response times, and body sizes
  • Stores everything in a columnar database for instant analytical queries
  • Computes PageRank and crawl depth per session
  • Comes with a web UI, a REST API, and a native desktop app

Quick Start

Prerequisites: Go 1.25+

# 1. Clone & build
git clone https://github.com/SEObserver/crawlobserver.git
cd crawlobserver
make build

# 2. Crawl a site
./crawlobserver crawl --seed https://example.com --max-pages 1000

# 3. Browse results
./crawlobserver serve
# Open http://127.0.0.1:8899

That's it. CrawlObserver automatically downloads and manages its own database on first run (macOS & Linux). No Docker, no manual setup.

Advanced: You can also point CrawlObserver at an existing database instance (Docker, remote server...). See the Configuration section for clickhouse.* settings.

Web UI

Start the web interface with ./crawlobserver serve and open http://127.0.0.1:8899.

The UI gives you:

  • Session management — start, stop, resume, delete crawl sessions
  • Page explorer — filter and browse crawled pages by status code, title, depth, word count...
  • Tabs — overview, titles, meta, headings, images, indexability, response codes, internal links, external links
  • PageRank — distribution histogram, treemap by path, top-N pages
  • robots.txt tester — view robots.txt per host and test URL access
  • Sitemap viewer — discover and browse sitemap trees
  • Real-time progress — live crawl stats via Server-Sent Events
  • Theming — custom accent color, logo, dark mode
  • API key management — project-scoped keys for programmatic access

The UI is a single Go binary — no Node.js runtime needed in production.

CLI Reference

crawlobserver [command]
Command Description
crawl Start a crawl session
serve Start the web UI
gui Start the native desktop app (macOS)
migrate Create or update database tables
sessions List all crawl sessions
report external-links Export external links (table or CSV)
update Check for updates and self-update
install-clickhouse Download database binary for offline use
version Print version

Crawl examples

# Single seed URL
crawlobserver crawl --seed https://example.com

# Multiple seeds from file (one URL per line)
crawlobserver crawl --seeds-file urls.txt

# Fine-tune the crawl
crawlobserver crawl --seed https://example.com \
  --workers 20 \
  --delay 500ms \
  --max-pages 50000 \
  --max-depth 10 \
  --store-html

Reports

# External links as a table
crawlobserver report external-links --format table

# Export to CSV
crawlobserver report external-links --format csv > external-links.csv

# Filter by session
crawlobserver report external-links --session <session-id> --format csv

Configuration

Copy config.example.yaml to config.yaml:

cp config.example.yaml config.yaml

All settings can be overridden via environment variables with the CRAWLOBSERVER_ prefix (e.g. CRAWLOBSERVER_CRAWLER_WORKERS=20) or via CLI flags.

Key settings

Setting Default Description
crawler.workers 10 Concurrent fetch workers
crawler.delay 1s Per-host request delay
crawler.max_pages 0 Max pages to crawl (0 = unlimited)
crawler.max_depth 0 Max crawl depth (0 = unlimited)
crawler.timeout 30s HTTP request timeout
crawler.user_agent CrawlObserver/1.0 User-Agent string
crawler.respect_robots true Obey robots.txt
crawler.store_html false Store raw HTML (ZSTD compressed)
crawler.crawl_scope host host, domain (eTLD+1), or subdirectory
clickhouse.host localhost Database host
clickhouse.port 19000 Database native protocol port
clickhouse.mode (auto) managed, external, or auto-detect
server.port 8899 Web UI port
server.username admin Basic auth username
server.password (generated) Basic auth password (random if not set)
resources.max_memory_mb 0 Memory soft limit (0 = auto)
resources.max_cpu 0 CPU limit / GOMAXPROCS (0 = all)

See config.example.yaml for the full reference.

Architecture

Seed URLs
    |
    v
Frontier  (priority queue, per-host delay, dedup)
    |
    v
Fetch Workers  (N goroutines, robots.txt cache, redirect tracking)
    |
    v
Parser  (goquery: 45+ SEO signals extracted)
    |
    v
Storage Buffer  (batch insert, configurable flush)
    |
    v
Columnar DB  (partitioned by crawl session, managed automatically)
    |
    |---> Web UI  (Svelte 5, embedded in binary)
    |---> REST API  (40+ endpoints)
    |---> CLI reports
Why a columnar database?

A crawl is a link graph, so why not a graph database? Because a crawler is an analytics pipeline, not a graph explorer. The questions you ask are analytical — "show me all pages with a missing H1 and a 301 canonical", "give me PageRank percentiles by subdirectory" — and columnar databases answer these instantly, even over millions of rows.

When we need graph algorithms (PageRank, crawl depth), we compute them in-memory in Go and write the results back. A million-page link graph fits in ~200MB of RAM and computes in seconds — no need for a graph database.

Under the hood, CrawlObserver uses ClickHouse in managed mode: it downloads a static binary and runs it as a subprocess. You see one program; it gets concurrent read/write access, columnar compression (~10:1), and instant session deletion.

Tech stack

Layer Technology
Crawler engine Go, net/http, goroutine pool, HTTP/2 (via utls ALPN negotiation)
TLS fingerprinting refraction-networking/utls (Chrome/Firefox/Edge profiles)
HTML parsing goquery (CSS selectors)
URL normalization purell + custom rules
robots.txt temoto/robotstxt
Storage ClickHouse (via clickhouse-go/v2)
API keys / sessions SQLite (modernc.org/sqlite)
Web UI Svelte 5, Vite (zero runtime dependencies)
Desktop app webview (macOS)
CLI Cobra + Viper

API

The REST API is available when running crawlobserver serve. All endpoints are under /api/.

Sessions

Method Endpoint Description
GET /api/sessions List all sessions
POST /api/crawl Start a new crawl
POST /api/sessions/:id/stop Stop a running crawl
POST /api/sessions/:id/resume Resume a stopped crawl
DELETE /api/sessions/:id Delete a session and its data
Method Endpoint Description
GET /api/sessions/:id/pages Crawled pages (paginated, filterable)
GET /api/sessions/:id/links External links
GET /api/sessions/:id/internal-links Internal links
GET /api/sessions/:id/page-detail?url= Full detail for one URL
GET /api/sessions/:id/page-html?url= Raw HTML body

Analytics

Method Endpoint Description
GET /api/sessions/:id/stats Session statistics
GET /api/sessions/:id/events Live progress (SSE)
POST /api/sessions/:id/compute-pagerank Compute internal PageRank
POST /api/sessions/:id/recompute-depths Recompute crawl depths
GET /api/sessions/:id/pagerank-top Top pages by PageRank
GET /api/sessions/:id/pagerank-distribution PageRank histogram

robots.txt & Sitemaps

Method Endpoint Description
GET /api/sessions/:id/robots-hosts Hosts with robots.txt
GET /api/sessions/:id/robots-content robots.txt content
POST /api/sessions/:id/robots-test Test URLs against robots.txt
GET /api/sessions/:id/sitemaps Discovered sitemaps

Authentication: Basic Auth or API key (X-API-Key header).

Contributing

We welcome contributions. Please read CONTRIBUTING.md before submitting anything.

TL;DR:

  • Open an issue before starting significant work
  • One PR = one thing (don't mix features and refactors)
  • Write tests for new code
  • Run make test && make lint before pushing
  • Follow existing code style — don't reorganize what you didn't change

Acknowledgments

Thanks to the people who helped shape CrawlObserver with their feedback, testing, and ideas:

License

AGPL-3.0 — see LICENSE.

Built by SEObserver.

Directories

Path Synopsis
cmd
crawlobserver command
internal
apikeys
applog
backup
cli
clickhouse
config
crawler
customtests
extraction
fetcher
frontier
gsc
normalizer
parser
providers
renderer
report
seobserver
server
storage
updater

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