Platform · Cleartrip

Cleartrip Data Scraping

Owned by a retail parent rather than a travel group. The loyalty and payment mechanics reach outside travel, and that changes what a listed price means.

Cleartrip data scraping collects hotel rates, room types, plan conditions and availability across Indian markets. What distinguishes it from the other Indian OTAs on this hub: it sits under a retail parent rather than a travel group, so loyalty and payment benefits reach across a wider ecosystem — and the listed price is further from what a member pays than on a standalone travel platform.

Independent of the MakeMyTrip group, so there is no sibling-overlap question here. The complication is a different one.

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cleartrip.jsonl LIVE FEED

{"brand":"cleartrip","parent_type":"retail", "group_overlap_applicable":false, "property_id":"ct-44120","city":"Example city", "rate":4390,"currency":"INR", "note":"no sibling-overlap discount. a full panel is a full panel"} {"ecosystem_benefit_gated":true,"gated_share":0.28, "effective_price":"null", "effective_null_reason":"depends_on_ecosystem_membership"} {"wallet_balance":"not_collected", "membership_status":"not_collected", "caution":"benefits earned OUTSIDE travel reach in here. the gap is wider than a travel programme"}

3 of 1,604,110 rate-plan rows · Indiaindependent of the group · ecosystem benefits gated · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Cleartrip or its owners. Cleartrip 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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Cleartrip at a glance

How we handle Cleartrip specifically

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

Brand: Cleartrip — India
Ownership: A retail parent, not a travel group
Consequence: Benefits reach across a wider ecosystem
So: Listed price is further from paid price
No overlap question: Independent of the MakeMyTrip group
App gating: Heavy, as across Indian OTAs. Share reported
Payment: Payment-linked discounts are conditions, not prices
Refresh: Daily per stay date; sub-daily around peak periods

Platform specifics

A retail ecosystem above a travel platform

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

Benefits attach to an ecosystem account, not to the booking

Where a travel platform's loyalty programme is about travel, a retail parent's programme reaches across categories — so benefits available on a hotel booking can originate entirely outside travel.

Subscription or membership tiers earned through retail activity can carry travel benefits.
Wallet balances and credits accumulated elsewhere apply here.
Cross-category promotions can reduce a travel price.
So the gap between listed and paid depends on an account state with a wider surface than a travel programme.

The data consequence is the same one our GrabFood page describes for super-apps: the listed price is observable and the amount paid frequently is not, and here the unobservable part reaches further.

ecosystem_benefit_gated is recorded where a benefit requires membership or a balance, with gated_share reported, and effective_price is null with a reason wherever the reduction depends on account state.

Indian OTA mechanics, and no sibling question

No group overlap to measure

Unlike the group brands on this hub, this platform is independent of the MakeMyTrip group. There is no sibling-brand overlap question, so a full panel is a full panel rather than a partial duplicate.

That makes it a genuinely independent comparator in Indian rate work, which is worth more than it sounds when the alternative brands share supply.

App gating and payment conditions

As across Indian OTAs, app-exclusive fares are heavy and payment-linked discounts are common. Both are handled as on our Goibibo and bank card offer pages: gated rates null with a reason and the share reported, payment conditions captured as text with no effective price computed.

Standard OTA mechanics

Rate plan as the record, both dates with lead time derived, struck-through references never treated as prior prices. As on our MakeMyTrip page.

What we do not collect

Ecosystem account data, wallet balances, membership status, bookings, occupancy or guest data. No accounts created, in any market.

Scope

What we collect on Cleartrip, 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

ecosystem_benefit_gated where a benefit requires membership or a balance
gated_share reported per market
effective_price null with a reason where it depends on account state
payment_condition_text as published, with no effective price computed
One record per rate plan, with conditions structured
Stay date and observation date, with lead time derived
reference_price_displayed captured, never treated as a prior price
Independence from the MakeMyTrip group stated, so no overlap discount applies
Review counts and ratings, without reviewer identity

❌ What we do not, and why

An effective price computed from unobservable ecosystem account state
Account creation, client credentials or app emulation
A payment-conditional discount applied as though automatic
A struck-through reference treated as price history
Wallet balances, membership status, bookings or guest data

Core Cleartrip fields

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

Field	What it is on this platform
brand / parent_type	A retail-parent platform, not a travel group brand
property_id / city	The property and where it is
room_type / rate_plan_id / rate_plan_type	The record is the plan
stay_date / observed_at / lead_time_days	Both dates and the derived axis
rate / currency	As displayed
ecosystem_benefit_gated / gated_share	Where a benefit needs membership or a balance
payment_condition_text	As published. Not a price
effective_price / effective_null_reason	Null where account state decides it
reference_price_displayed	As displayed. Not a prior price
group_overlap_applicable	Constant false. Independent of the MakeMyTrip group
review_count / rating	Values only

Use cases

What teams do with Cleartrip data

An independent Indian comparator

A platform outside the MakeMyTrip group, which makes it a genuinely independent rate comparator where the alternative brands share supply.

Ecosystem gating measurement

Gated share reported where benefits require membership or a balance earned outside travel, so the gap between listed and paid is quantified rather than assumed.

Payment-condition-aware analysis

Conditions captured as published with no effective price computed, since a discount requiring a specific card is not available to a customer without it.

Plan-level Indian rate comparison

Rate plans as the record, so this platform is compared to other OTAs on matched plans rather than on lowest displayed price.

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

Send us a Cleartrip 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.

Cleartrip is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Cleartrip 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 Cleartrip-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

Cleartrip data scraping: frequently asked questions

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

Because loyalty and payment benefits reach across categories rather than being confined to travel. Membership tiers earned through retail activity, wallet balances accumulated elsewhere and cross-category promotions can all reduce a travel price.

So the gap between listed and paid depends on an account state with a wider surface than a travel programme.

No. This platform is independent of the MakeMyTrip group, so a full panel is a full panel rather than a partial duplicate.

That makes it a genuinely independent comparator in Indian rate work, which is worth more than it sounds when the alternative brands share supply.

No, where the reduction depends on account state. Membership, balances and cross-category promotions are not observable to an anonymous visitor.

The field is null with a reason and we report the gated share instead.

Conditions rather than prices. A discount requiring a specific card or wallet is not available to a customer without it.

We capture the condition text as published and do not compute an effective price from it.

No. We do not emulate apps, create accounts or use client credentials in any market.

App-gated rates are null with a reason and the share is reported, which on Indian OTAs is a meaningful figure.

We quote individually on properties times stay dates times rate plans times observations. There is no group-overlap discount here, since the platform is independent.

One scoping call, a free pilot within 24 hours including the gated share, then a fixed monthly quote. Request a quote.

See real Cleartrip 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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