A client needing live hotel prices from Trivago in two LATAM markets.

Use Case

Hotel pricing insights (proof of concept)

Region

Chile and Colombia

Sources

trivago.cl, trivago.com.co

Number of sources

Live Hotel Prices

Provider by Provider

Rank Positions

Search by Search

Contact Sales

Key Takeaways

Actowiz Solutions is running a trivago hotel price monitoring proof of concept for a Mexico-based online travel company. Three times a week we search trivago.cl and trivago.com.co for set destinations and stay dates, then capture each hotel's live prices by provider, its rank and deal badges in local currency, building a dated price record from kickoff onward.

What did the client need?

The client wanted to understand hotel pricing and ranking across trivago.cl and trivago.com.co, including which booking providers offered the lowest rates. They needed regularly captured live prices to compare their own offers with the rates travellers see on metasearch results pages.

The inquiry arrived on 8 May 2026, and the proof of concept (POC) started on 28 September 2026. The scope covers hotels in Chile and Colombia, with the final destination list, hotel count, and stay-date and length-of-stay grid to be confirmed during pilot validation.

What made this hard?

Metasearch prices are not a single number per hotel. Each result depends on the search inputs, lists several providers and can change during the day, so the data must be collected with fixed parameters to stay comparable across runs.

Search-dependent prices: rates change with check-in date, nights and guest count.
Many providers per hotel: one listing can show offers from several OTAs and hotel sites.
Ranking is not neutral: Trivago's filing states that advertisers with higher bids generally get better placement, so rank must be read alongside price.
Two currencies: Chilean pesos (CLP) and Colombian pesos (COP) need clear currency codes.
Live data only: Trivago shows current prices, so history exists only from POC kickoff onward.

How did Actowiz solve it?

We set up trivago hotel price monitoring as a fixed search grid that runs three times a week on both sites.

Approach

Fixed search grid: same destinations, dates and guests every run, so changes reflect price moves.
Provider-level capture: every visible provider offer, with a lowest-price flag.
Rank and badges: each hotel's position and deal badges.
Local currency: prices stored in CLP or COP exactly as shown, with no conversion.
Timestamped runs: search date and scrape time on every row.
Public data only: public prices only, site terms respected, legal review recommended.

Data Attributes / Fields

Each row ties one provider offer to the exact search that produced it, so prices can be compared by date, hotel and provider. The table lists the core fields delivered in each POC run, all captured exactly as publicly displayed.

Field	Description
search_date / scrape_timestamp	Date of the search and exact capture time
check_in / check_out / nights / guests	Stay parameters used for the search
destination	City or area searched
hotel_id / hotel_name	Trivago hotel ID and display name
star_rating / guest_rating	Hotel class and displayed guest score
provider_name	OTA or hotel site offering the price
price_shown / currency	Displayed price and currency code (CLP or COP)
lowest_price_flag	Whether this offer is the lowest shown for the hotel
rank_position	Hotel position in the result list
deal_badges	Deal or discount labels shown on the listing

What were the results?

The trivago hotel price monitoring POC is still in progress, so results so far are early and qualitative. Final figures will be added after the client has reviewed the first weeks of thrice-weekly runs and agreed the next phase.

Comparable price record: a dated, provider-level record of live prices for the agreed grid, enabling consistent hotel rate comparisons across Chile and Colombia.
Provider visibility: the client can identify which booking providers most frequently display the lowest prices for the hotels being monitored.
Ranking insight: ranking positions and badges provide visibility into how hotels appear in Trivago search results and how their placement varies.

Project at a Glance

Metric	Value
Use Case	Hotel price monitoring POC
Region	Chile and Colombia
Sources	trivago.cl, trivago.com.co
Metrics	Provider prices, lowest-price flag, rank, deal badges, ratings
Reconciliation / Method	Fixed search grid, provider-level rows, local currency
Cadence	Three times a week (POC from 28 Sep 2026)
Output	[Confirm delivery format, e.g. CSV / JSON / API]

Client Feedback

“Actowiz Solutions is helping us evaluate hotel pricing and provider rankings across trivago.cl and trivago.com.co. The proof of concept is focused on giving our team better visibility into hotel rate differences across markets in Chile and Colombia, supporting our goal of improving pricing intelligence for our online travel business.”

— Project Lead, Online Travel Company

Frequently Asked Questions

Q: What does trivago hotel price monitoring capture?

A: Live prices by provider, hotel details, ratings, rank and deal badges for set searches. See our Trivago travel data scraping service.

Q: Can you supply historical Trivago prices?

A: No. We capture live prices only; the price record starts at POC kickoff and grows with each run.

Q: Why three runs a week?

A: It suits a POC; frequency can change after review.

Q: Can other OTAs be added?

A: Yes, for example through our Booking.com hotel data scraper.

Q: Is personal data collected?

A: No. Only public hotel and price data; no traveller or reviewer identities.

Need Live Trivago Hotel Price Monitoring?

Explore our Trivago hotels data scraping or our hotel pricing data guide. Visit actowizsolutions.com to discuss your data requirement.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner