Revenue management data for travel teams
Pull hotel rates, flight prices, and OTA listing data — across Booking, Expedia, Airbnb, and direct sites — refreshed on the cadence your revenue team actually needs.
- Booking.com
- Expedia
- Airbnb
- Vrbo
- Hotels.com
- Agoda
- Trivago
- Kayak
- Hostelworld
- Trip.com
- Marriott direct
- Hilton direct
Where travel rate intelligence falls apart
Three structural gaps every revenue or distribution team eventually hits.
- No historyWhat a view of today's rates gives you
Rate snapshots without history hide the pattern
Flight prices and hotel rates move all the time. A view of today's rates can't tell you when a competitor started undercutting you or how long it lasted.
- LockedComp-set vs vendor-defined
You can't add who you actually compete with
Most rate shoppers cover only a fixed list of properties and don't let you add new comps without a sales call. You pay for the network, not the data.
- 0Vacation rentals included
Airbnb + STR ignored entirely
Airbnb, Vrbo, and short-term rental platforms became real competitors to hotels. Rate shoppers ignore them. Your revenue model can't.
What Scrapewise actually does for travel revenue teams
Three things, simply: daily refresh, your comp-set, OTAs + direct + STR in one schema.
Daily rate refreshes, plus on-demand runs
Track flagship properties and routes every day, and start extra runs on demand during demand spikes.
You define the comp set
No locked competitor lists, no sales-call gating. If it's on a public site, you can monitor it.
OTAs + direct + STR in one schema
Booking, Expedia, Airbnb, Vrbo, your direct site — all in the same structured table.
How a travel revenue team gets up and running
Five steps from blank canvas to rate data flowing into your RMS.
- 01
Build your comp set
Add the OTAs, direct sites, vacation rental platforms, and competitors that matter — by city, route, brand, or property.
- 02
Configure rate scrape templates
Tell Scrapewise which fields to extract — rate, availability, room type, parity flag, listing status. No code.
- 03
Set the refresh cadence
Daily for rate-sensitive segments, weekly for stable ones. Schedules are set per scraper group, not per account.
- 04
Pipe into your RMS or BI
CSV, Excel or REST API. Power BI, Looker, your RMS, your distribution monitoring.
- 05
Build the audit trail
Every snapshot timestamped + source-linked — ready for distribution disputes and parity reviews.
What you can build on top of Scrapewise travel data
Each travel team need maps to a specific Scrapewise use case. Pick the one matching your mandate.
- Industry needMonitor OTA + direct rate parity every dayUse caseCompetitor price trackingRead more →
- Industry needPull rate data into your RMS or BI toolUse caseProduct data extractionRead more →
- Industry needRun market analysis across destinationsUse caseTravel + hospitality data extractionRead more →
- Industry needBuild flexible comp-set definitionsUse caseE-commerce market researchRead more →
- Industry needFeed AI demand-forecast modelsUse caseData for AI and LLMsRead more →
Travel Rate Intelligence Built For Revenue Teams
Daily Rate Refreshes
Hotel price monitoring on a daily schedule, with the full rate history kept for every property.
OTAs + Direct + Vacation Rentals in One Schema
Booking, Expedia, Airbnb, your direct site, and wholesalers — all extracted into the same structured table. One source of truth for the comp set.
Add Any Property, Any Route, Any Time
No locked competitor lists, no sales-call gating. If it's on a public site, you can monitor it. Add a new comp in minutes.
Better Rate Decisions, Without the Black-Box Tool
Travel revenue teams using Scrapewise replace fixed rate shoppers with their own structured data layer. Same sources, same accuracy, but the comp set is theirs to define and the data feeds their existing systems.
- ✕ Fixed comp-set list, hard to expand
- ✕ Vendor-defined refresh schedule
- ✕ Vacation rentals usually excluded
- ✕ Black-box dashboard, no raw data export
- ✕ Per-property pricing that scales painfully
- ✓ Define your own comp set — add anyone, any time
- ✓ Daily refresh with a timestamped rate history
- ✓ Hotels, OTAs, and vacation rentals in one schema
- ✓ Structured data export to your BI / RMS
- ✓ Scales across portfolios without per-property markups
Plugs into the tools travel teams already run
Pipe Scrapewise rate data into your RMS, BI, and revenue management stack.
Power BI
BI / dashboards
Tableau
BI / analytics
Looker
BI / analytics
MCP server
Claude Code and Claude Desktop
Excel / CSV
Direct export
Snowflake
Warehouse, via REST API
BigQuery
Warehouse, via REST API
REST API
RMS / custom
If you can call a REST API or open a CSV, you can integrate Scrapewise.
Adjacent capabilities for travel teams
Use cases, comparisons, and reading you'll likely need once your travel rate data layer is live.
Use cases
Compare alternatives
Your Comp Set Just Moved Their Rates. Did You Notice?
Stop paying for a rate shopper that locks you into someone else's comp-set definition. Scrapewise gives revenue teams the structured rate data layer they actually want.
Frequently Asked Questions
Common questions from hotel, airline, and OTA revenue teams.
Yes. Booking, Expedia, Airbnb, Vrbo, and any direct hotel site are supported. The output is a single structured table with rate, availability, room type, and source URL.