Platform · Momondo

Momondo Data Scraping

A separate brand with the same owner and operator as Kayak. Two rows on the hub, one company — so the first question is overlap.

Momondo data scraping covers flight results from a metasearch brand that has been owned by Booking Holdings since 2017 and is run alongside Kayak. So before anyone pays for both, the useful question is how much of what Momondo shows Kayak already shows, for your routes and markets. As with every flight source, collection sits behind a terms position that is still open.

This is the Goibibo and MakeMyTrip situation, in flights. Two brands, one company, and a question worth answering before the budget is spent.

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momondo_schema_sample.jsonl LIVE FEED

{"query_id":"q-CPH-BCN-2026-12-03-1A-Y-DK", "seller_name":"example airline","fare_is_referred":true, "overlap_with_sibling":"", "sibling":"kayak"} {"recommendation":"collect the difference where overlap is high", "terms_position_status":"open","collecting":false}

schema sample · no collection until the terms position is settledsame operator as Kayak · overlap measured first · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Momondo or its owners. Momondo and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Momondo at a glance

How we handle Momondo specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Platform: Momondo — flight metasearch
Owner: Booking Holdings, since 2017
Run with: Kayak
So: Measure overlap with Kayak first
A fare here is: A referred offer, with its seller
Market lean: Strongest in European markets
Status: Terms position open — see flight fare page
What we do now: Scope and assess; no collection yet

Platform specifics

One company, two storefronts

These are the reasons a Momondo dataset needs its own handling rather than a shared retail schema.

Overlap is the first measurement

Two metasearch brands under one operator will share much of their supply. They will not be identical — brand, presentation, default settings and which sellers appear first can all differ.

Route and seller overlap is usually high.
Displayed prices for the same query are frequently the same, and the differences are the interesting part.
Market strength differs, with Momondo leaning toward European markets.
So the value is in the difference, not in a second full panel.

Once collection is cleared, overlap_with_sibling is measured on your own query set, on a shared schedule. Where overlap is very high, we recommend collecting only the difference — the same position our Goibibo and Hotels.com pages take.

The open position, and the mechanics

Where this stands

Displayed fares are collectable subject to a terms position that is still open — our flight fare page sets it out. We scope and assess now; collection starts when that position is settled for your use.

Mechanics

As on our Kayak page: a fare is a referred offer with its seller, the full query travels with every fare, fee basis follows the search settings, and sort order is not modelled.

History

Not retrospective. A forward panel builds it from the day it starts.

What we do not do

Sell two full panels without measuring overlap, promise collection before the position is settled, or sell history.

Scope

What we collect on Momondo, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

overlap_with_sibling measured on your query set, once cleared
A recommendation to collect the difference where overlap is high
Shared schedule with Kayak where both are collected
seller_name and fare_is_referred on every fare
Full query on every fare
Market searched from recorded
Forward panel design from commissioning
Query set scoped now
The open terms position stated plainly

❌ What we do not, and why

Two full panels sold without measuring overlap
Live collection promised before the terms position is settled
Historical fares sold or backfilled
A referred price presented as Momondo's own price
Passenger, account or booking data

Core Momondo fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
query_id / origin / destination / dates	The query
passengers / cabin / market_searched_from	The rest of the query
seller_name / fare_is_referred	Whose offer
price_displayed / currency / fee_basis_displayed	As shown, and what it includes
overlap_with_sibling	Against Kayak, on your queries
price_differs_from_sibling	From paired records only
carrier / stops / duration	The itinerary
observed_at / lead_time_days	When, and how far ahead
panel_schedule_id	Shared with Kayak
terms_position_status	Open until settled
position	As displayed. Not modelled

Use cases

What teams do with Momondo data

Deciding whether to collect both brands

Overlap with Kayak measured on your own queries, so the second brand is bought only for what it adds.

European route coverage

Where Momondo's European lean shows different sellers or prices from its sibling.

Forward fare panel

Fixed routes and windows from the day collection starts.

Scoping ahead of clearance

Queries and markets agreed now, ready for when the position is settled.

The 24-hour sample — run on your sources, not ours

Send us a Momondo item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Momondo is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Momondo data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what travel & hospitality data covers, and a Momondo-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Momondo data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Same owner and operator. Booking Holdings acquired the Momondo Group in 2017, and Kayak runs Momondo today. They remain separate brands.

Measure the overlap first, on your own queries. Where it is very high, collecting only the difference is the better buy.

Not yet, for the same reason as Kayak: the terms position on displayed fares is still open. The overlap question can be scoped in the meantime, so both brands are costed correctly when it clears.

No. Fare history exists only where someone was recording. A forward panel builds it from the start date.

No — it is an airline's or agency's offer, displayed and referred. The seller travels with every fare.

We quote once the position is settled. Where Kayak is also collected, the difference usually costs far less than a second panel.

Talk to us to scope the query set.

See real Momondo data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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