Extract and compare structured data from multiple websites side-by-side.
Prerequisites
CF Browser MCP server must be configured in .mcp.json (see quick start).
Why This Skill?
Pricing pages, feature matrices, and product comparisons are almost always JS-rendered. This skill uses browser_json and browser_scrape to extract structured data from multiple competitor pages, then generates a comparison.
Workflow
Step 1: Identify Pages
From user input, determine:
- Which competitors/products to compare
- What data points to extract (pricing, features, limits, etc.)
- Resolve URLs (homepage, pricing page, docs, etc.)
Step 2: Extract Data (Parallel)
For each competitor page, use the most appropriate tool:
Pricing data:
browser_json(url, prompt="Extract all pricing tiers with: plan name, monthly price, annual price, key features, and limits")
Feature comparison:
browser_json(url, prompt="Extract all features with: feature name, availability (yes/no/limited), and any limits or quotas")
General product info:
browser_scrape(url, selectors=["h1", ".pricing-card", ".feature-list", "[class*=plan]"])
Step 3: Normalize
Align extracted data into a consistent schema:
- Standardize plan names (Free/Pro/Enterprise)
- Convert currencies if needed
- Unify feature naming across competitors
- Handle missing data points (mark as "N/A" or "Not listed")
Step 4: Compare & Report
Output a markdown comparison table:
## Competitor Comparison — {Category}
| | Competitor A | Competitor B | Competitor C |
|---|---|---|---|
| Free tier | 1K requests | 500 requests | None |
| Pro price | $20/mo | $25/mo | $19/mo |
| API rate limit | 100 req/s | 50 req/s | Unlimited |
| Key differentiator | Best DX | Most features | Cheapest |
### Key Insights
- Competitor A leads on developer experience
- Competitor B has the most comprehensive free tier
- Price range: $19-25/mo for pro plans
Parameters
urls(required): List of competitor URLs or product namesfocus(optional): What to compare — "pricing", "features", "limits", "all"prompt(optional): Custom extraction prompt for specific data points
Examples
"Compare Vercel vs Netlify vs Cloudflare Pages pricing"
→ browser_json on each /pricing page → normalized comparison table
"What features does Cursor have that Copilot doesn't?"
→ Extract feature lists from both → diff analysis
"Compare the free tiers of Supabase, Firebase, and PlanetScale"
→ Extract pricing/limits → free tier comparison
"How does our pricing compare to competitors?"
→ Extract your pricing page + competitors → gap analysis