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 skills/seo-domain-analyzer/scripts/analyze_domain.py \
  --domain "example.com"

# With competitor comparison
python3 skills/seo-domain-analyzer/scripts/analyze_domain.py \
  --domain "example.com" \
  --competitors "competitor1.com,competitor2.com,competitor3.com"

# Check specific keywords
python3 skills/seo-domain-analyzer/scripts/analyze_domain.py \
  --domain "example.com" \
  --keywords "cloud cost optimization,reduce aws bill,finops tools"

# Save output
python3 skills/seo-domain-analyzer/scripts/analyze_domain.py \
  --domain "example.com" --output clients/acme/research/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	Skip Ahrefs backlink analysis (saves ~$0.10)

Cost

Data Source	Apify Actor	Est. Cost
Domain overview (Semrush)	`devnaz/semrush-scraper`	~$0.10/domain
Backlink profile (Ahrefs)	`radeance/ahrefs-scraper`	~$0.10/domain
Keyword rank checks	`apify/google-search-scraper`	~$0.002/keyword
Typical full run		~$0.50-1.00
With 3 competitors		~$1.50-3.00

Process

Phase 1: Domain Overview (Semrush Data)

Use Apify actor

devnaz/semrush-scraper

to get:

python

# Actor: devnaz/semrush-scraper
# Input: domain URL
{
    "urls": ["https://example.com"]
}

Extracted metrics:

Authority Score (0-100)
Organic monthly traffic estimate
Organic keywords count (how many keywords the domain ranks for)
Paid traffic estimate (if any)
Backlinks count (Semrush's count)
Referring domains count
Top organic keywords (keyword, position, traffic share)
Top competitors (competing domains by keyword overlap)
Traffic trend (month-over-month direction)

Phase 2: Backlink Profile (Ahrefs Data)

Use Apify actor

radeance/ahrefs-scraper

to get:

python

# Actor: radeance/ahrefs-scraper
# Input: domain for backlink analysis
{
    "urls": ["https://example.com"],
    "mode": "domain-overview"
}

Extracted metrics:

Domain Rating (DR) (0-100)
URL Rating of homepage
Referring domains count and trend
Backlinks total count
Top referring domains (which sites link to them)
Anchor text distribution (branded vs keyword vs generic)
Dofollow vs nofollow ratio

Phase 3: Keyword Rank Verification

For specific keywords (user-provided or auto-inferred from Phase 1), verify actual rankings using Google search:

python

# Actor: apify/google-search-scraper
# Input: keyword queries
{
    "queries": "cloud cost optimization",
    "maxPagesPerQuery": 1,
    "resultsPerPage": 10,
    "countryCode": "us",
    "languageCode": "en"
}

For each keyword:

Does the target domain appear in top 10?
What position?
What specific URL ranks?
Who else ranks? (competitive landscape for that keyword)

Keyword sources (in priority order):

User-provided keywords
Top organic keywords from Semrush data (Phase 1)
Auto-inferred from domain content (WebSearch
```
site:[domain]
```
to see page titles)

Phase 4: Top Pages Analysis

From the Semrush data, extract the highest-traffic pages:

URL
Estimated monthly traffic
Primary keyword(s) driving traffic
Number of ranking keywords

If Semrush doesn't provide per-page data, supplement with:

WebSearch:
```
site:[domain]
```
and note which pages appear first (proxy for importance)
WebSearch:
```
site:[domain] blog
```
for top blog content

Phase 5: Competitor Discovery

Competitors are identified from multiple sources:

Semrush competitor data (Phase 1) — domains competing for same keywords
User-provided competitors — always included
Google SERP competitors — from Phase 3 keyword checks, note which domains consistently appear

For each competitor, run a lighter version of Phase 1 (domain overview only):

Authority score
Organic traffic estimate
Keyword count
Top keywords

Phase 6: Output

JSON Output

json

{
  "domain": "example.com",
  "analysis_date": "2026-02-25",
  "domain_metrics": {
    "semrush_authority_score": 45,
    "ahrefs_domain_rating": 52,
    "organic_monthly_traffic": 28500,
    "organic_keywords": 1240,
    "backlinks": 8930,
    "referring_domains": 412,
    "traffic_trend": "increasing"
  },
  "top_pages": [
    {
      "url": "https://example.com/blog/reduce-aws-costs",
      "estimated_traffic": 3200,
      "top_keyword": "reduce aws costs",
      "ranking_keywords": 45
    }
  ],
  "keyword_rankings": [
    {
      "keyword": "cloud cost optimization",
      "position": 4,
      "url": "https://example.com/blog/cloud-cost-optimization-guide",
      "serp_competitors": ["vantage.sh", "antimetal.com", "finout.io"]
    }
  ],
  "backlink_profile": {
    "domain_rating": 52,
    "total_backlinks": 8930,
    "referring_domains": 412,
    "dofollow_ratio": 0.78,
    "top_referring_domains": ["techcrunch.com", "producthunt.com", ...],
    "anchor_text_distribution": {
      "branded": 0.45,
      "keyword": 0.22,
      "generic": 0.18,
      "url": 0.15
    }
  },
  "competitors": [
    {
      "domain": "competitor1.com",
      "authority_score": 62,
      "organic_traffic": 45000,
      "organic_keywords": 2100,
      "keyword_overlap": 340
    }
  ]
}

Markdown Summary (also generated)

markdown

# SEO Domain Profile: example.com
**Date:** 2026-02-25

## Domain Metrics
| Metric | Value |
|--------|-------|
| Semrush Authority Score | 45/100 |
| Ahrefs Domain Rating | 52/100 |
| Monthly Organic Traffic | ~28,500 |
| Organic Keywords | 1,240 |
| Backlinks | 8,930 |
| Referring Domains | 412 |
| Traffic Trend | Increasing |

## Top Performing Pages
| # | URL | Est. Traffic | Top Keyword |
|---|-----|-------------|-------------|
| 1 | /blog/reduce-aws-costs | 3,200 | reduce aws costs |
| ... |

## Keyword Rankings
| Keyword | Position | URL | SERP Competitors |
|---------|----------|-----|-----------------|
| cloud cost optimization | #4 | /blog/cloud-cost... | vantage.sh, antimetal.com |
| ... |

## Backlink Profile
- Domain Rating: 52/100
- Referring Domains: 412
- Dofollow Ratio: 78%
- Top linking sites: TechCrunch, Product Hunt, ...

## Competitor Comparison
| Domain | Authority | Traffic | Keywords | Overlap |
|--------|-----------|---------|----------|---------|
| example.com | 45 | 28.5K | 1,240 | — |
| competitor1.com | 62 | 45K | 2,100 | 340 |
| ... |

Tips

Semrush scraper data quality varies. The Apify actors scrape public Semrush pages, which show limited data for non-subscribers. Traffic estimates and top keywords are available, but detailed per-page breakdowns may be partial.
Combine with site-content-catalog to get both the content inventory AND performance data — together they tell you what content exists AND which pieces actually drive traffic.
Keyword rank verification via Google is the most reliable data point. Semrush/Ahrefs estimates can be off, but checking actual SERPs gives ground truth.
Run competitors lighter. Full backlink analysis on 5 competitors gets expensive. Domain overview (Semrush only) is usually sufficient for comparison.
Apify actors may break. These scrape Semrush/Ahrefs public pages, which can change. If an actor fails, fall back to the free
```
seo-traffic-analyzer
```
skill which uses web search probes.

Fallback: Free Mode

APIFY_API_TOKEN

is not set or Apify actors fail, the script falls back to:

WebSearch probes (like
```
seo-traffic-analyzer
```
skill)
```
site:[domain]
```
for indexed page count
SimilarWeb free tier for traffic estimates
Manual Google SERP checks for keyword rankings

This gives less precise data but still produces a useful report.

Dependencies

Python 3.8+
```
requests
```
library
```
APIFY_API_TOKEN
```
env var (for Apify mode; falls back to free probes without it)

seo-domain-analyzer

NPX Install

Tags

SKILL.md Content

SEO Domain Analyzer

Quick Start

Inputs

Cost

Process

Phase 1: Domain Overview (Semrush Data)

Phase 2: Backlink Profile (Ahrefs Data)

Phase 3: Keyword Rank Verification

Phase 4: Top Pages Analysis

Phase 5: Competitor Discovery

Phase 6: Output

JSON Output

Markdown Summary (also generated)

Tips

Fallback: Free Mode

Dependencies