Agent skill · Data & Analytics

seo-domain-analyzer

Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data. Gets domain authority, organic traffic estimates, keyword rankings, backlink profiles, top performing pages, and auto-discovers competitors from keyword overlap. No Semrush/Ahrefs subscription needed — uses Apify actors that scrape public pages.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill seo-domain-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: yes
Path: skills/seo/capabilities/seo-domain-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# SEO Domain Analyzer Pull real SEO performance data for any domain — no Semrush or Ahrefs subscription needed. Uses Apify actors that scrape Semrush/Ahrefs public pages to get authority scores, traffic estimates, keyword rankings, backlink profiles, and competitor discovery. ## Quick Start ```bash # Basic domain analysis python3 scripts/analyze_domain.py --domain "example.com" # With competitor comparison python3 scripts/analyze_domain.py \ --domain "example.com" \ --competitors "competitor1.com,competitor2.com,competitor3.com" # Check specific keywords python3 scripts/analyze_domain.py \ --domain "example.com" \ --keywords "cloud cost optimization,reduce aws bill,finops tools" # Save output python3 scripts/analyze_domain.py \ --domain "example.com" --output seo-profile.json ``` ## Inputs | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | domain | Yes | — | Domain to analyze (e.g., "example.com") | | competitors | No | auto-discovered | Comma-separated competitor domains | | keywords | No | auto-inferred | Specific keywords to check rankings for | | output | No | stdout | Path to save JSON output | | skip-backlinks | No | false | Sk

What's inside
Steps it walks through
  1. Quick Start
  2. Inputs
  3. Cost
  4. Process
  5. Phase 1: Domain Overview (Semrush Data)
  6. Phase 2: Backlink Profile (Ahrefs Data)
  7. Phase 3: Keyword Rank Verification
  8. Phase 4: Top Pages Analysis
  9. Phase 5: Competitor Discovery
  10. Phase 6: Output
  11. Tips
  12. Fallback: Free Mode
  13. Dependencies
Ships with 2 files
  • scripts/analyze_domain.py
  • skill.meta.json
Commands it runs
Basic domain analysis
python3 scripts/analyze_domain.py --domain "example.com"
With competitor comparison
python3 scripts/analyze_domain.py \
Check specific keywords
Save output
More from goose-skills
All skills →
About this skill
What does the seo-domain-analyzer skill do?

Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data. Gets domain authority, organic traffic estimates, keyword rankings, backlink profiles, top performing pages, and auto-discovers competitors from keyword overlap. No Semrush/Ahrefs subscription needed — uses Apify actors that scrape public pages.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill seo-domain-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going