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 | 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):

1. User-provided keywords
2. Top organic keywords from Semrush data (Phase 1)
3. 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:

1. Semrush competitor data (Phase 1) — domains competing for same keywords
2. User-provided competitors — always included
3. 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

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

1. WebSearch probes (like seo-traffic-analyzer skill)
2. site:[domain] for indexed page count
3. SimilarWeb free tier for traffic estimates
4. 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)