AirDNA Scraper — STR Market Data & Airbnb Deals

Turn AirDNA into structured short-term-rental market data. Scrape any of the ~24,500 markets AirDNA publishes — active listings, annual revenue, occupancy, ADR and RevPAR, each with year-over-year change, plus the AirDNA Market Score and all five subscores. Switch modes and get the top 100 Airbnb/Vrbo listings in a market instead, with IDs, deep links, coordinates, nightly rate versus the market average, and a deal score. JSON, CSV or Excel out; you pay per result, not per run.

How it works

✨ Why use this scraper?

• Two datasets, one actor. Market-level performance metrics for investors and analysts, or individual property comps for hosts and pricing tools. mode picks; both writes them into the same dataset, tagged by entityType.
• Whole-planet coverage without hunting URLs. Enumeration reads AirDNA's own sitemap, so country: "us" gives every US market and scrapeAllMarkets gives all 24,564. No manual link collection, no pagination to configure.
• Paste any link you happen to have. A market URL and a top-deals URL describe the same place, so the actor rewrites whichever one you paste into the page the mode needs. You never have to know which family a link belongs to.
• No proxy required. AirDNA sits behind Cloudflare, but browser-grade TLS fingerprints pass it directly. That makes runs faster and cheaper than a proxied scraper, and a proxy is still there as an option if you want rotation.
• Both display and numeric values. AirDNA abbreviates money on the page ($48.7K). You get annualRevenueDisplay: "$48.7K" for reporting alongside annualRevenue: 48700 for sorting and maths.
• Caps that actually cap. One top-deals page yields 100 rows at once. maxItems is claimed before rows are written, so a capped run stops exactly on the number instead of overshooting by up to 99 billable rows.

🎯 Use cases

• STR investment screening — rank thousands of markets by RevPAR, revenue growth or Market Score to shortlist where to buy.
• Regulatory and supply monitoring — track active listing counts and their YoY change per market on a schedule to spot supply shocks or new restrictions biting.
• Revenue benchmarking — pull ADR and occupancy for a host's market and compare their listing against it.
• Dynamic pricing inputs — feed marketAverageRate and per-property ratePerNight into a pricing model.
• Comp-set building — property rows give bedrooms, bathrooms, guest count and coordinates, enough to assemble a comparable set around an address.
• Market research and content — the FAQ block on each market row is publication-ready Q&A about that market's economics.
• Lead generation for STR services — property manager, cleaning and furnishing companies use active-listing density to pick which markets to enter.

📥 Supported inputs

Four ways to choose markets. Combine them freely — results are merged and de-duplicated.

Input	What it does	Example
startUrls	Any AirDNA market or top-deals URL	https://www.airdna.co/vacation-rental-data/app/us/california/los-angeles/overview
country	Every market in a country	us, gb, fr, es, id
region	Narrows to a state or region	california, florida, london
searchTerms	Market names in plain English	["Los Angeles", "Big Bear Lake"]
scrapeAllMarkets	All ~24,500 markets worldwide	true

Leave all of them empty and the run defaults to AirDNA's 10 most-listed markets, so a bare run still returns something useful.

Both of these URL forms are accepted, and either works for either mode:

https://www.airdna.co/vacation-rental-data/app/us/california/los-angeles/overview
https://www.airdna.co/top/us/california/los-angeles

🔄 How it works

1. Select. Your inputs are resolved into a list of markets. Anything that needs the full market list reads AirDNA's sitemap-top-10.xml once — a single request that yields all 24,564 published markets, which is why country and region filters are instant.
2. Rewrite. Each selected market is turned into the page family mode requires: the /vacation-rental-data/app/…/overview page for market metrics, the /top/… page for property deals, or both.
3. Fetch. Pages are pulled in a sliding-concurrency window across three independent HTTP stacks (impit, got-scraping, impers) with real browser TLS fingerprints. A slow page never blocks the next one from starting.
4. Parse. Market pages are read from their JSON-LD Dataset block plus the server-rendered stat cards; top-deals pages are read from the __NEXT_DATA__ payload. No browser, no JavaScript execution.
5. Write. One row per market, or up to 100 rows per market for properties, straight to the dataset.

⚙️ Input parameters

Field	Type	Default	Description
mode	enum	markets	markets, properties, or both.
startUrls	array	—	AirDNA market or top-deals URLs.
country	string	—	Country slug as AirDNA spells it (us, gb, fr).
region	string	—	Region or state slug (california, london).
searchTerms	array	—	Market names in plain text.
scrapeAllMarkets	boolean	false	Walk every published market.
maxItems	integer	1000	Hard cap on dataset rows.
maxConcurrency	integer	10	Pages fetched at once.
proxy	object	—	Optional; AirDNA works fine without one.

📊 Output overview

One row per market in markets mode; one row per Airbnb/Vrbo listing in properties mode. In both mode the two shapes land in the same dataset and are separable by entityType. The dataset also ships two curated table views, Market metrics and Property deals, so the Output tab is readable without configuring columns.

📦 Output sample

Market row (entityType: "market"), trimmed:

{
  "entityType": "market",
  "url": "https://www.airdna.co/vacation-rental-data/app/us/california/los-angeles/overview",
  "marketId": "airdna-110",
  "appUrl": "https://app.airdna.co/data/us/airdna-110/overview",
  "country": "us",
  "region": "california",
  "city": "los-angeles",
  "countryName": "United States",
  "regionName": "California",
  "cityName": "Los Angeles",
  "marketName": "Los Angeles, California",
  "summary": "Los Angeles, California has 30,563 active short-term rental listings that earn an average of $48.7K per year, with 68% average occupancy and a $218 average daily rate.",
  "activeListings": 30563,
  "activeListingsDisplay": "30,563",
  "activeListingsYoYPct": 49.7,
  "annualRevenue": 48700,
  "annualRevenueDisplay": "$48.7K",
  "annualRevenueYoYPct": 173.2,
  "occupancyPct": 68,
  "occupancyYoYPct": 25.2,
  "averageDailyRate": 218,
  "averageDailyRateYoYPct": -19.1,
  "revpar": 147,
  "revparYoYPct": 11.1,
  "marketScore": 57,
  "scoreRentalDemand": 52,
  "scoreSeasonality": 94,
  "scoreRevenueGrowth": 82,
  "scoreInvestability": 47,
  "scoreRegulation": 59,
  "lastUpdated": "2026-09-05",
  "coverageStart": "2025-09-01",
  "coverageEnd": "2026-08-31",
  "faq": [
    {
      "question": "How much do Airbnbs make in Los Angeles?",
      "answer": "The average Los Angeles short-term rental earns $48.7K in annual revenue. Earnings vary by property type, bedroom count, and channel."
    }
  ],
  "nearbyMarkets": [
    { "name": "San Diego", "url": "https://www.airdna.co/vacation-rental-data/app/us/california/san-diego/overview" }
  ],
  "scrapedAt": "2026-09-08T15:19:32.791Z"
}

Property row (entityType: "property"):

{
  "entityType": "property",
  "sourceUrl": "https://www.airdna.co/top/us/california/los-angeles",
  "airbnbId": "33251629",
  "vrboId": "4705618",
  "airbnbUrl": "https://www.airbnb.com/rooms/33251629",
  "vrboUrl": "https://www.vrbo.com/4705618",
  "vrboAffiliateUrl": "https://prf.hn/click/camref:1100ljbkY/destination:https%3A%2F%2Fwww.vrbo.com%2F4705618",
  "title": "Sheek and Shabby In L.A.",
  "propertyType": "Guesthouse",
  "bedrooms": 2,
  "bathrooms": 1,
  "guests": 6,
  "latitude": 34.0111,
  "longitude": -118.31527,
  "ratePerNight": 176,
  "marketAverageRate": 214,
  "rateDifferencePct": 18,
  "dealScore": 100,
  "imageUrl": "https://a0.muscache.com/im/pictures/airflow/Hosting-33251629/original/c1df5b16.jpg",
  "marketUrl": "https://www.airdna.co/vacation-rental-data/app/us/california/los-angeles/overview",
  "marketLocation": "Los Angeles, California",
  "country": "us",
  "region": "california",
  "city": "los-angeles",
  "scrapedAt": "2026-09-08T15:19:32.791Z"
}

🗂 Key output fields

Market rows

Field	Meaning
activeListings	Listings available or booked in the trailing 12 months, de-duplicated across Airbnb, Vrbo and Booking.com.
annualRevenue	Trailing-twelve-month earnings of a typical active listing, before host expenses.
occupancyPct	Share of available nights booked, averaged across active listings. Whole number, so 68 means 68%.
averageDailyRate	Average nightly price actually paid across booked nights.
revpar	Occupancy × ADR. AirDNA's truest measure of earning power per available night.
*YoYPct	Year-over-year change for the metric, as a signed percentage (-19.1 = down 19.1%).
marketScore	AirDNA Market Score, 40–100, benchmarked against other markets in the same country.
scoreRentalDemand, scoreSeasonality, scoreRevenueGrowth, scoreInvestability, scoreRegulation	The five subscores behind the Market Score, each 0–100.
*Display	The abbreviated string AirDNA rendered ("$48.7K", "30,563"), alongside the numeric field.
coverageStart / coverageEnd	The data window the figures describe, distinct from lastUpdated (when the page was refreshed).
marketId / appUrl	AirDNA's internal market identifier and the deep link into its app.
faq	The market's published Q&A pairs, typically nine.
nearbyMarkets	Sibling markets in the same region, with URLs — handy for expanding a crawl.

Property rows

Field	Meaning
airbnbId / vrboId	Platform listing identifiers. vrboId is null for Airbnb-only listings.
airbnbUrl / vrboUrl	Direct listing links. The Vrbo link is unwrapped from AirDNA's affiliate redirect and stripped of its date parameters; the original wrapper is kept in vrboAffiliateUrl.
ratePerNight	This listing's nightly rate.
marketAverageRate	The market's average rate for comparable listings.
rateDifferencePct	How far the listing sits below its market average, as a percentage. Positive means cheaper than average — 18 is 18% below marketAverageRate, and a negative value means the listing is priced above it.
dealScore	AirDNA's 0–100 ranking of the listing as a deal.
latitude / longitude	Listing coordinates.
marketUrl	The market page this property belongs to, for joining property rows back to market rows.

❓ FAQ

Do I need an AirDNA account or API key? No. The actor reads only AirDNA's public, free-to-view market pages — the ones marked isAccessibleForFree in AirDNA's own structured data. Nothing behind a login or a paid plan is touched.

Do I need a proxy? No. AirDNA is behind Cloudflare, but the actor's browser-grade TLS fingerprints pass it on a direct connection. The proxy input exists if you want IP rotation for very large runs.

How current is the data? AirDNA refreshes market pages monthly. Every row carries lastUpdated (when AirDNA last refreshed the page) and coverageStart/coverageEnd (the months the figures actually describe), so you can tell the two apart.

Why is scoreInvestability sometimes null? AirDNA omits subscores it lacks the underlying data for — investability depends on local home prices, which it doesn't have everywhere. London, for example, publishes four subscores rather than five. The field is null rather than zero so a missing score never gets averaged in as a real one.

Why is nearbyMarkets sometimes empty? Markets that are their own region — London, for instance — have no sibling markets to list, and AirDNA omits the section entirely. That's the source page, not a parse failure.

How exact is annualRevenue? AirDNA only publishes an abbreviated figure on the free page ($48.7K), so annualRevenue is that abbreviation expanded to 48700. It is precise to the abbreviation, not to the dollar. annualRevenueDisplay preserves exactly what AirDNA showed.

Can I get more than 100 properties per market? No. AirDNA's public top-deals page publishes 100 listings per market, and that is all the actor can see. Scrape more markets to get more properties.

How do I limit results? Set maxItems. The cap is claimed before rows are written, so a properties run stops precisely on the number even though pages arrive in blocks of 100.

How does billing work? Pay-per-event, with two row prices because the two row types differ enormously in scarcity and value. A market row is $0.02: only ~24,500 exist worldwide and each carries 25+ analytic fields including AirDNA's Market Score and its five subscores. A property row is $0.002: they are abundant, at 100 per market. Rows are charged only after they land in the dataset, so a failed page costs nothing, and skipped empty markets are never billed.

What happens to a market that no longer exists? Retired slugs render a page shell with no metrics. Those are logged and skipped rather than pushed, so you are never billed for an empty row.

💬 Support

• For issues or feature requests, please use the Issues tab on the actor's Apify Console page.
• Author's website: https://muhamed-didovic.github.io/
• Email: muhamed.didovic@gmail.com

🛠 Additional services

• Custom output shape, additional fields, or one-off datasets: muhamed.didovic@gmail.com
• Need a similar scraper for other short-term-rental or travel sources (Airbnb, Vrbo, Booking.com, Agoda)? Drop an email.
• For API access (no Apify fee, just a usage fee for the API): muhamed.didovic@gmail.com

🔎 Explore more scrapers

If this AirDNA Scraper was useful, see other scrapers and actors at memo23's Apify profile — covering short-term rentals, travel, real estate, job boards, social media, and more.

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/airdna-scraper).

Purpose: Scrapes short-term-rental market metrics and top Airbnb/Vrbo property deals from airdna.co's public pages, covering ~24,500 markets worldwide.

Minimal input:

{
  "mode": "markets",
  "startUrls": ["https://www.airdna.co/vacation-rental-data/app/us/california/los-angeles/overview"],
  "maxItems": 50
}

Bulk input by geography:

{
  "mode": "both",
  "country": "us",
  "region": "florida",
  "maxItems": 500
}

Output — market rows: entityType, url, marketId, appUrl, country, region, city, countryName, regionName, cityName, marketName, summary, activeListings(+Display,+YoYPct), annualRevenue(+Display,+YoYPct), occupancyPct(+Display,+YoYPct), averageDailyRate(+Display,+YoYPct), revpar(+Display,+YoYPct), marketScore, scoreRentalDemand, scoreSeasonality, scoreRevenueGrowth, scoreInvestability, scoreRegulation, lastUpdated, coverageStart, coverageEnd, faq[{question,answer}], nearbyMarkets[{name,url}], scrapedAt.

Output — property rows: entityType, sourceUrl, airbnbId, vrboId, airbnbUrl, vrboUrl, vrboAffiliateUrl, title, propertyType, bedrooms, bathrooms, guests, latitude, longitude, ratePerNight, marketAverageRate, rateDifferencePct, dealScore, imageUrl, marketUrl, marketLocation, country, region, city, scrapedAt.

Behaviors an agent should know:

• mode selects the entity: markets (one row per market), properties (up to 100 rows per market), both (both shapes in one dataset, split on entityType).
• Market selection sources combine: startUrls, country/region, searchTerms, scrapeAllMarkets. With none set, the run defaults to 10 markets.
• Either URL family is accepted for either mode; links are rewritten automatically, so no need to construct the /top/ form yourself.
• country and region take AirDNA's own URL slugs, not display names — us and california, not United States and California. Unmatched values are logged and produce no rows.
• searchTerms resolve against city slugs, exact matches first, capped at 25 markets per term.
• Always set maxItems; scrapeAllMarkets addresses ~24,500 markets, which in properties mode is millions of rows.
• occupancyPct is a whole number (68 = 68%). rateDifferencePct is positive when a listing is cheaper than its market average.
• Nullable by design: scoreInvestability where AirDNA lacks home-price data, nearbyMarkets for markets with no siblings, vrboId/vrboUrl for Airbnb-only listings.
• Money fields come in pairs — numeric (annualRevenue: 48700) and the source's abbreviation (annualRevenueDisplay: "$48.7K").
• Only public pages are read; no login, no paid AirDNA API. No proxy is required.
• Pay-per-event billing with two row prices: market-row at $0.02 and property-row at $0.002, plus the standard actor-start event. Rows are charged only after a successful dataset write. In markets mode, cost is maxItems x $0.02; in properties mode, maxItems x $0.002.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by AirDNA, Airbnb, Vrbo, Expedia Group, Booking.com, or any of their subsidiaries or affiliates. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available market and top-deals pages on airdna.co — no authenticated endpoints, no paid AirDNA API, and no content behind an AirDNA subscription. Market figures are AirDNA's own published estimates, reproduced as shown; they are not independently verified and should not be treated as investment advice. Users are responsible for ensuring their use complies with airdna.co's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organisation.

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