Hotel & Resort REITs Data: Filings Facts, Price History and Travel Demand · Head-to-head

Amadeus Hotel Search & Booking APIs vs Nasdaq Stock Screener - Real Estate / REIT Filter

Which hotel & resort reits data: filings facts, price history and travel demand data fits your job: Amadeus Hotel Search & Booking APIs, or Nasdaq Stock Screener - Real Estate / REIT Filter. API, files, or your warehouse. Daily, weekly, or hourly.

Hotel & Resort REITs Data: Filings Facts, Price History and Travel Demand

Amadeus Hotel Search & Booking APIs

Hotel & Resort REITs Data: Filings Facts, Price History and Travel Demand

Nasdaq Stock Screener - Real Estate / REIT Filter

Where the fields line up

1 shared field — join on these.

Field Amadeus Hotel Search & Booking APIs Nasdaq Stock Screener - Real Estate / REIT Filter
name Property name as supplied by the hotel provider. documented

What each contains

Pick by fit, not by loyalty.

Amadeus Hotel Search & Booking APIs Nasdaq Stock Screener - Real Estate / REIT Filter
Name-like label `name` property name as supplied by the hotel provider, e.g. MAYET `name` full registered security name including share class or REIT designation, e.g. 'Host Hotels & Resorts, Inc. Common Stock'
Entity identifier `hotelId` Amadeus property code used across search, ratings and booking, e.g. ACPARF58 `symbol` exchange ticker, e.g. HST
Location `geoCode.latitude / longitude` (48.84724, 2.31836) plus `iataCode` city code and `address.countryCode` `country` issuer country of incorporation or domicile, e.g. United States
Scale measure None stated - size lives in inventory breadth, no authoritative count published `marketCap` in dollars, e.g. 15,819,522,373
Classification `subType` hotel category for autocomplete: HOTEL_LEISURE or HOTEL_GDS `sector` Real Estate plus `industry` Real Estate Investment Trusts
Activity signal `overallRating` out of 100 with nine `sentiments.*` sub-scores (service=98, staff=100) `volume` shares traded (9,739,753 in HST) plus `pctchange` percent move (0.708%)
Attribution detail `chainCode` two-character chain code plus `dupeId` deduplication reference `ipoyear` listing year (2011 for APLE's cohort era) plus `netchange` absolute move
Commitment terms `offers[].checkInDate / checkOutDate` and `offers[].policies` payment, guarantee and cancellation rules None - rows carry quotes and labels only

What each does better

Amadeus Hotel Search & Booking APIs

It reaches inside the building. Every field describes the asset itself: coordinates to roughly four decimal places (48.84724, 2.31836), ISO country codes of the address, stay dates per offer, room type estimates, payment and guarantee and cancellation policies attached to each rate. The screener knows Host Hotels exists; it cannot say anything about any hotel Host owns.

Guest sentiment at category grain. The ratings payload carries numberOfReviews, numberOfRatings, overallRating out of 100 and nine sub-scores - sleepQuality, service, facilities, roomComforts, valueForMoney, catering, location, pointsOfInterest, staff. Sample rows show service=98, staff=100, location=98 for a New York property. No equity field measures whether guests slept well.

Global scope by construction. Inventory comes from Amadeus-connected providers worldwide, keyed by IATA city code and country - not bounded by any listing exchange.

Nasdaq Stock Screener - Real Estate / REIT Filter

That is the investable set for anyone underwriting the sector - Amadeus holds no ticker anywhere in its dictionary.

Classification scaffolding. sector and industry come on every row, plus country of incorporation, so the lodging slice extends sideways: the same filter yields office, residential and telecom-tower REITs for comp work.

One flat pull. The whole sector arrives as rows in a single response shape - about 90 KB of JSON per full-sector sweep - which makes it the faster instrument when the question is simply 'who is in this sector today'.

The verdict

Verdict: sample both, pick by fit. Let the unit of analysis decide.

If the unit is a company - sizing the lodging REIT set, ranking by market cap or liquidity, dating the sector by IPO year, cross-checking exchange coverage - Nasdaq Stock Screener - Real Estate / REIT Filter holds rows Amadeus does not attempt.

Three quick tests settle most cases. Need a room, a rate or a review score? Only Amadeus travels. Need a ticker, a market cap or a volume figure? Only the screener reaches it. Need the asset-level picture and the owner-level picture reconciled? That is the both-of-them case, and in lodging work it comes up constantly.

Sample both, pick by fit. See Amadeus Hotel Search & Booking APIs · See Nasdaq Stock Screener - Real Estate / REIT Filter

Fair questions

Is Amadeus Hotel Search & Booking APIs better than Nasdaq Stock Screener - Real Estate / REIT Filter?

For property-level work, decisively: global inventory, live offers and nine sentiment sub-scores scored 8 of 10 against the screener's 7. For tickers, market caps or the lodging REIT list? Not at all - that lives only in Nasdaq's 284-row Real Estate filter. Different instruments; sample both, pick by fit.

Can you get hotel rates out of Nasdaq Stock Screener - Real Estate / REIT Filter?

No. Its eleven fields describe listed companies - symbol, last sale, market cap, volume, IPO year - not rooms. Rates, stay windows, cancellation policies and guest sentiment scores come from Amadeus, where a sample offer prints GBP 352.00 for a Paris stay window and a New York property scores 93/100 overall.

Do the two datasets overlap anywhere?

Only structurally. Both carry a name-like label and both cover the same industry from opposite sides, but there is no shared key between a hotelId and a ticker. Teams join them by matching property and brand names against the eleven lodging issuer names on the screener's row set - and Datadory finishes that match before delivery.

Which dataset covers more ground?

Depends on the axis. Amadeus spans hundreds of thousands of properties worldwide with no authoritative count published; the screener is finite and exact - 284 real estate rows across two exchanges, about 8,000+ for the whole universe. Global operational depth versus a countable, dated ownership snapshot.

Can Datadory deliver both datasets together?

Yes. Either record arrives alone or merged onto one delivery calendar, aligned so the join is finished before it reaches you - delivered daily, weekly, or hourly, your call. Name the cities, chains, tickers and date windows when you request the sample and it lands pre-cut with field definitions attached.