Airbnb Market Analyzer — Price Distribution by Area & Dates

One call = one short-term rental market analyzed. Give it a city or neighbourhood (plus optional dates) and get the live market picture as structured data: price distribution (median, percentiles, per-night), rating mix, share of new listings and a sample of the listings behind the numbers. Built for hosts pricing their place, STR investors comparing areas, and AI agents.

{
    "location": "Madrid, España",
    "checkin": "2026-08-10",
    "checkout": "2026-08-12",
    "analysis": {
        "n": 36,
        "currency": "EUR",
        "priceBasis": "total-stay",
        "nights": 2,
        "median": 174.5,
        "nightlyMedian": 87.25,
        "p10": 122, "p25": 143, "p75": 187, "p90": 199.5,
        "ratingAvg": 4.76,
        "ratedSharePct": 91.7,
        "newListingsSharePct": 8.3,
        "confidence": "high"
    },
    "listings": [
        { "name": "Apartamento Ático Loft centro Madrid", "price": 176, "rating": 4.7, "url": "https://www.airbnb.com/rooms/…" }
    ],
    "meta": { "listingsAnalyzed": 36, "pagesFetched": 2, "geo": { "resolvedName": "Madrid, Comunidad de Madrid, España", "radiusKm": 10 } }
}

What makes the numbers trustworthy

• Deterministic geography. Airbnb's text search quietly mixes worldwide "inspiration" results into responses (we measured it: searching Madrid returned cabins in Brazil). This actor geocodes your location and searches by map bounding box instead — every listing in the sample is actually in your market. radiusKm controls the scope: ~10 for a city, 2–3 for a neighbourhood.
• Dates = real quotes. With checkin/checkout the prices are actual total-stay quotes for those nights (a nightlyMedian is derived). Without dates you get Airbnb's indicative nightly prices — the output labels which basis you're looking at (priceBasis).
• Cleaned sample. Duplicates and geographically inconsistent results are dropped before any statistics run, and meta.filteredOut tells you what was removed.

Use cases

• Host pricing: "what does the market charge for 2 guests in my area next weekend?" — median and p25–p75 band in one call.
• Investor screening: batch-run 10 areas and compare nightlyMedian, ratingAvg and newListingsSharePct (market saturation signal).
• Seasonality tracking: schedule weekly runs with fixed dates offset and diff the medians over time.

Use with AI agents (MCP)

https://mcp.apify.com?tools=jdepablos/airbnb-market-analyzer

Your agent gets a "what's the going rate in X?" tool with self-describing structured output — no pagination, no HTML, no post-processing.

Pricing

Pay per event: $0.04 per market scan (up to 5 result pages ≈ 90 listings sampled, stats + sample included). Scans that return no listings are never charged.

FAQ

Where do prices come from? Airbnb's public search results for your bounding box — live offer prices (asks), not booked reservations. The output states this via priceBasis.

Which domains? airbnb.es (EUR) and airbnb.com (USD). Same inventory, different display currency.

How is this different from AirDNA? AirDNA sells deep historical subscriptions ($40–500/month). This is the live market snapshot as a pay-per-call API — no subscription, agent-ready, and you can build your own history by scheduling snapshots.

Is this affiliated with Airbnb? No. Data comes from publicly visible search results.