Competitor Page Intelligence & AI Website Analyzer

Turn any SaaS, product, pricing, or landing page into structured competitor intelligence.

This Apify Actor crawls a single public web page with Playwright, extracts readable content from JavaScript-rendered pages, and uses an LLM to produce evidence-grounded JSON plus a buyer-friendly markdown report.

Primary productized mode: competitor_intelligence.

What it returns

For each URL, the Actor writes one dataset item containing:

• page type and detected company/product
• positioning and target customers
• pricing visibility, tiers, billing periods, and enterprise signals
• features, claims, and calls to action
• gaps, risks, and actionable recommendations
• evidence snippets tied to the page text
• confidence and warnings
• LLM usage metadata and estimated cost
• optional markdown report
• optional extracted raw text

Best use cases

• Competitor research for SaaS founders and product marketers
• Pricing page extraction and tier comparison
• Sales battlecard input generation
• Landing page positioning audits
• RAG-ready website intelligence ingestion
• GEO / AI search visibility prep

Input example

{
  "url": "https://www.notion.com/pricing",
  "mode": "competitor_intelligence",
  "analysisDepth": "standard",
  "outputLanguage": "en",
  "includeMarkdownReport": true,
  "includeRawText": false,
  "maxContentTokens": 12000,
  "model": "deepseek/deepseek-v4-flash"
}

Only url is required.

Output example

{
  "url": "https://www.notion.com/pricing",
  "finalUrl": "https://www.notion.com/pricing",
  "mode": "competitor_intelligence",
  "analysisDepth": "standard",
  "page": {
    "title": "Notion Pricing",
    "pageType": "pricing",
    "detectedCompany": "Notion",
    "detectedProduct": "Notion"
  },
  "summary": "Notion positions itself as an all-in-one workspace with free, team, business, and enterprise options.",
  "positioning": {
    "primaryMessage": "All-in-one workspace",
    "targetCustomers": ["individuals", "teams", "businesses"],
    "differentiators": ["docs", "projects", "wiki", "AI add-on"],
    "category": "workspace productivity software"
  },
  "pricing": {
    "hasPricing": true,
    "currency": "USD",
    "tiers": [
      {"name": "Free", "price": "$0", "billingPeriod": "monthly", "features": [], "limits": []},
      {"name": "Plus", "price": "unknown", "billingPeriod": "monthly", "features": [], "limits": []}
    ],
    "enterpriseSignals": ["Contact sales"]
  },
  "features": [
    {"name": "Team workspace", "description": "Collaborative workspace features", "evidence": "Teamspaces", "confidence": 0.8}
  ],
  "claims": [],
  "ctas": [
    {"text": "Get started", "location": "header", "intent": "trial_signup"}
  ],
  "gapsAndRisks": ["Some feature limits require deeper plan comparison."],
  "recommendations": [
    {"priority": "high", "recommendation": "Compare free-to-paid upgrade triggers.", "why": "Pricing page emphasizes multiple tiers and enterprise path."}
  ],
  "evidenceSnippets": [
    {"text": "Contact sales", "supports": "pricing.enterpriseSignals", "confidence": 0.9}
  ],
  "quality": {
    "contentChars": 18000,
    "truncated": false,
    "confidence": 0.82,
    "warnings": []
  },
  "usage": {
    "model": "deepseek/deepseek-v4-flash",
    "promptTokens": 8000,
    "completionTokens": 1800,
    "totalTokens": 9800,
    "estimatedLlmCostUsd": 0.00414
  },
  "metadata": {
    "actorVersion": "0.2.0",
    "runStartedAt": "2026-07-10T00:00:00Z",
    "runFinishedAt": "2026-07-10T00:00:12Z"
  },
  "markdownReport": "# Competitor Page Intelligence: Notion\n..."
}

Modes

competitor_intelligence

Recommended default. Produces structured competitor intelligence with evidence, positioning, pricing, CTAs, recommendations, and quality metadata.

pricing_page

Reserved for pricing-focused analysis. Current implementation uses the same evidence-grounded prompt framework; listing should keep competitor_intelligence as the primary promise until dedicated pricing scoring is added.

landing_page_audit

Reserved for conversion and positioning audit. Current implementation uses the generic structured prompt fallback.

geo_audit

Reserved for AI search / generative engine optimization analysis. Current implementation uses the generic structured prompt fallback.

rag_ready_extraction

Reserved for extraction pipelines. Current implementation uses the generic structured prompt fallback.

Environment variables

Set this in Apify actor secrets or local environment:

• OPENROUTER_API_KEY — required for LLM analysis

Do not put API keys in input examples, README screenshots, or committed files.

Local development

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt pytest
python -m playwright install chromium
python -m pytest tests -q

For a real local Actor run, provide Apify local input through the SDK storage format or use Apify CLI. The run also requires OPENROUTER_API_KEY.

Deployment notes

The public Apify Actor itself runs on Apify cloud.

Any separate long-running observer, metrics watcher, or local support service should be deployed to A1708 or Rpi5 because those hosts are normally always on. Do not rely on Atlas for those long-running services.

Limitations

• One URL per run.
• The Actor does not browse multiple linked pages in V2.0.
• It only analyzes text available after page rendering.
• It may miss content behind logins, paywalls, bot protection, or interactive UI states.
• LLM output is evidence-constrained but should still be reviewed before high-stakes decisions.
• Generic secondary modes are present in the input schema but the strongest productized path is competitor_intelligence.

Pricing recommendation

Do not price this like the V1 demo.

Recommended starting point:

• $0.01 per successful dataset item as a simple first paid SKU

Future tiering if Apify pricing supports it cleanly:

• fast: $0.005
• standard: $0.015
• deep: $0.03

This keeps the Actor affordable for buyers while avoiding a toy price that cannot cover Playwright + LLM + maintenance.