Goibibo Dataset
Live and Historical Data Across Goibibo’s Value-and-Budget-Focused Indian Travel Platform
Goibibo built its identity around a few features that reward-and-refund-focused travelers actually notice: GoCash, a wallet-based cashback system where cancellation refunds and promotional credits land as spendable wallet balance rather than a direct refund or points redemption, and Pay-at-Hotel, a zero-upfront-payment hotel booking model where a guest can confirm a room without paying anything until check-in. Alongside that, Goibibo’s Hotel Assured badge acts as a quality-certification layer specifically for India’s large budget and unbranded-hotel segment, giving those properties a trust signal that a plain star rating doesn’t provide.
Tracking that properly means capturing wallet-credit economics, zero-upfront booking terms, and budget-property certification as core dataset dimensions, not footnotes. That’s exactly what our dedicated Travel Data Scraping pipeline is built to handle for Goibibo specifically — a Goibibo Travel Dataset that ties flight fares, hotel rates, GoCash and Pay-at-Hotel booking terms, and reviews together, refreshed on a schedule you control. It sits inside our broader Travel Dataset catalog, built on the same infrastructure as our Travel Data Scraping services, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$199Starting Price
Records
3.2M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
Affordability
Core Coverage
2+ Yrs
Historical Depth
Global
Route Coverage
Daily
Refresh Cycle
Why Teams Choose Our Goibibo Dataset Over a DIY Crawl
A scraper built for a generic OTA misses GoCash entirely, since it doesn’t show up as a simple discount, and it’s likely to treat Pay-at-Hotel bookings the same as prepaid ones, which they aren’t.
One Schema, Wallet Economics Included
Flight fares, hotel rates, GoCash-linked pricing, Pay-at-Hotel terms, and reviews all arrive in a single Goibibo dataset — no reconciling separate exports.
Budget-Segment Precision
Our Goibibo Hotel Dataset flags Hotel Assured-certified properties distinctly, since that certification carries specific meaning for India’s unbranded-hotel segment.
Scoped to What You Actually Need
Pull specific routes, destinations, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Fares, Plus Real History
See today’s fares and rates alongside 2+ years of historical pricing patterns across routes and properties.
Pay-at-Hotel Terms Tracked Explicitly
Coverage flags which listings offer zero-upfront booking, since that changes what the displayed price actually commits the traveler to pay.
What’s Actually Inside the Goibibo Dataset
The Goibibo dataset answers five practical questions: what fares and rates are available, how they move across the booking window, what GoCash and Pay-at-Hotel terms actually apply, how properties and routes are rated and certified, and what customers say about the experience. Those five questions map to the five sub-datasets described below, keyed together on route, property, and booking identifiers.
Most clients start with the booking-terms layer, usually chasing something specific — what share of a market’s budget-hotel inventory offers Pay-at-Hotel, or how much GoCash credit typically gets issued on a cancelled booking versus a direct refund? Hospitality and budget-travel research teams lean on the Hotel Assured flag to understand certified-property density in a given city. Data teams mostly just want clean, timestamped records instead of raw search-result data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset shares its collection standards with our broader Travel Dataset catalog.
What people actually build with this dataset:
- Fare-curve analysis: Track how airfare on a given route moves as departure date approaches.
- GoCash issuance-pattern research: Understand how wallet-credit amounts compare to cash-refund equivalents on cancelled bookings.
- Pay-at-Hotel availability tracking: Measure what share of budget-hotel inventory in a market offers zero-upfront booking.
- Hotel Assured density mapping: Track certified-property concentration across cities to understand budget-segment quality coverage.
- Sentiment research: Mine the Goibibo Reviews Dataset for recurring complaints about booking accuracy, property quality, or customer support.
Key Metrics
Price
$199.00Format
CSV / JSON / APIRecords
3.2M+ Verified RecordsCoverage
Domestic + InternationalUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Goibibo Dataset
Below is a small, illustrative slice of flight and hotel data from a single extract, including GoCash-linked pricing and Pay-at-Hotel flags. Over 40 additional fields are available, including Hotel Assured certification status and full historical pricing curves.
| Property ID | Property Name | Property Image 1 | Price | Taxes & Fees | Property Type | Property Category | User Rating | Reviews Count | Property URL | Offer | Amenities | Metro Distance | Property Image 2 | Property Image 3 | Property Image 4 | Property Image 5 | Schema Image |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5986716687642700000 | Hotel Boss Singapore | https://r1imghtlak.ibcdn.com/598f5628f2ee11ec99c20a58a9feac02.webp?downsize=245:152&output-format=webp | ₹6,208 | ₹2,307 | Hotel | 4 Star | 4 | 2781 | https://www.goibibo.com/hotels-international/boss-singapore-hotel-in-singapore-5986716687642700398/ | ₹2021 off Pay using PNB Credit Card | Indian Veg Food, Swimming Pool | 5 minutes walk | https://r1imghtlak.ibcdn.com/378f44c2f2ec11eca8e00a58a9feac02.webp?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/277d036d-0f18-47e4-ba57-a03c6a62cdef.png?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/63f1b63cf2ea11ecb48c0a58a9feac02.webp?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/71e9d83a9af911e791330a209fbd0127.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/598f5628f2ee11ec99c20a58a9feac02.webp?downsize=245:152&output-format=webp |
| 3714891454002420000 | Citadines Rochor Singapore | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-50b6652843e111ea995d0242ac110002.jpg?downsize=245:152&output-format=webp | ₹9,725 | ₹3,284 | Apartment | 4 Star | 4.4 | 6682 | https://www.goibibo.com/hotels-international/citadines-rochor-singapore-hotel-in-singapore-3714891454002425576/ | ₹1912 off Pay using ICICI Bank Credit Card EMI | Kids Play Area, Kitchenette | 4 minutes walk | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-a48b036a43f611ea9b900242ac110002.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-c326640443f611ea86730242ac110003.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-08cccc4043ee11ea99d30242ac110003.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-df35688e43f611eaa8320242ac110002.jpg?downsize=245:152&output-format=webp | //r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202001091537542182-50b6652843e111ea995d0242ac110002.jpg?downsize=245:152&output-format=webp |
| 8287446735518550000 | Mandarin Oriental, Singapore | https://gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-0cc5a8c5_z.jpg?downsize=245:152&output-format=webp | ₹33,891 | ₹11,410 | Hotel | 5 Star | 4.6 | 968 | https://www.goibibo.com/hotels-international/mandarin-oriental-singapore-hotel-in-singapore-8287446735518550751/ | ₹5922 off Pay using OneCard Credit Card EMI | Childcare Services, Kids' swimming pool, Swimming Pool | 8 minutes walk | https://gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-589089350.jpg?downsize=245:152&output-format=webp | https://gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-644183280.jpg?downsize=245:152&output-format=webp | https://gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-644186181.jpg?downsize=245:152&output-format=webp | https://gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-0a3b4ddc34a7d8b84dca1319c32607f2.jpg?downsize=245:152&output-format=webp | //gommts3.mmtcdn.com/htl-imgs/htl-imgs/4190725563798464-0cc5a8c5_z.jpg?downsize=245:152&output-format=webp |
| 1803572204298530000 | V Hotel Lavender Singapore | https://r1imghtlak.ibcdn.com/82792c3c9bb711e7b9590a9df65c8753.jpg?downsize=245:152&output-format=webp | ₹6,752 | ₹2,447 | Hotel | 4 Star | 3.9 | 1493 | https://www.goibibo.com/hotels-international/v-lavender-singapore-hotel-in-singapore-1803572204298535505/ | ₹1968 off Pay using PNB Credit Card | Indian Veg Food, Swimming Pool | About a minute walk | https://r1imghtlak.ibcdn.com/33878c1c9bb811e7bc8e0a9df65c8753.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/6979e99ea93211e9adee0242ac110002.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/d8226df81b2e11eaa4eb0242ac110003.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/6386d9c2992e11e78b59025f77df004f.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/82792c3c9bb711e7b9590a9df65c8753.jpg?downsize=245:152&output-format=webp |
| 202605131533404000 | Days inn by Wyndham Singapore Novena - Newly Renovated | https://r1imghtlak.ibcdn.com/e7fa273a602c11f1af4f0a58a9feac02.jpg?downsize=245:152&output-format=webp | ₹5,666 | ₹1,856 | Resort | 3 Star | 3.8 | 213 | https://www.goibibo.com/hotels-international/days-inn-by-wyndham-singapore-novena-newly-renovated-hotel-in-singapore-202605131533404761/ | ₹1635 off Pay using PNB Credit Card | Swimming Pool, Gym | 2 minutes walk | https://r1imghtlak.ibcdn.com/e261b248602c11f1af4f0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/202605131533404761-1fdd75e0-b762-4090-a6a8-5d37d412973b.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/room-imgs/202605131533404761-1844361663-da6c57d2602c11f1b0ca0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/room-imgs/202605131533404761-1844361663-dcc82f56602c11f1b0ca0a58a9feac02.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/e7fa273a602c11f1af4f0a58a9feac02.jpg?downsize=245:152&output-format=webp |
| 1552087265407870000 | Hotel 81 Dickson | https://r1imghtlak.ibcdn.com/bf3e48ae2d3811eaad7f0242ac110005.jpg?downsize=245:152&output-format=webp | ₹4,160 | ₹1,545 | Hotel | 2 Star | 3.7 | 1926 | https://www.goibibo.com/hotels-international/81-dickson-hotel-in-singapore-1552087265407872709/ | ₹1354 off Pay using PNB Credit Card | Reception, Restaurant, Complimentary Outdoor Sports & Activities | 3 minutes walk | https://r1imghtlak.ibcdn.com/7230c6fe9f5a11e796380a209fbd0127.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/f81990a41cd811ea97cc0242ac110002.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/9157689e9f5a11e79d5202755708f0b3.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/babc893a2d3811eab97b0242ac110002.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/bf3e48ae2d3811eaad7f0242ac110005.jpg?downsize=245:152&output-format=webp |
| 5512221647238570000 | Holiday Inn Express SINGAPORE CLARKE QUAY | https://r1imghtlak.ibcdn.com/367c4f28294111f1a60a0a58a9feac02.jpg?downsize=245:152&output-format=webp | ₹13,542 | ₹2,828 | Hotel | 3 Star | 4.3 | 1223 | https://www.goibibo.com/hotels-international/holiday-inn-express-singapore-clarke-quay-hotel-in-singapore-5512221647238575157/ | Swimming Pool, Gym | 8 minutes walk | https://r1imghtlak.ibcdn.com/3cfb53ac294211f18f7e0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/0c9408e0294111f1a60a0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/101ed77e294111f1a60a0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/1b94d41e294111f1a60a0a58a9feac02.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/367c4f28294111f1a60a0a58a9feac02.jpg?downsize=245:152&output-format=webp | |
| 5055050512797130000 | Hotel Mi Rochor | https://r1imghtlak.ibcdn.com/33be53e6416111ee83eb0a58a9feac02.jpg?downsize=245:152&output-format=webp | ₹7,875 | ₹2,904 | Hotel | 4 Star | 4.2 | 6685 | https://www.goibibo.com/hotels-international/mi-rochor-hotel-in-singapore-5055050512797132250/ | ₹2378 off Pay using ICICI Bank Credit Card EMI | Swimming Pool, Gym | 3 minutes walk | https://r1imghtlak.ibcdn.com/dc8c233c416011eea9ee0a58a9feac02.png?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/cd5c484a416211ee874e0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/d773bfc8416411eebef10a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/354820ca416111ee944f0a58a9feac02.png?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/33be53e6416111ee83eb0a58a9feac02.jpg?downsize=245:152&output-format=webp |
| 3144139168727040000 | One Farrer Hotel | https://r1imghtlak.ibcdn.com/47f188063c1111e9accd0242ac110002.jpg?downsize=245:152&output-format=webp | ₹11,630 | ₹4,595 | Hotel | 5 Star | 4.5 | 1211 | https://www.goibibo.com/hotels-international/one-farrer-hotel-in-singapore-3144139168727049003/ | ₹4593 off Pay using HDFC Credit Card EMI | Swimming Pool, Gym | About a minute walk | https://r1imghtlak.ibcdn.com/ee48547c-d8de-46bb-bee4-cfdc5d921bcb.webp?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/5261b29a3c2311e987820242ac110002.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/f763a1e83c1111e999bc0242ac110003.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/b0e1a5bc3c1111e9a6e80242ac110003.jpg?downsize=245:152&output-format=webp | //r1imghtlak.ibcdn.com/47f188063c1111e9accd0242ac110002.jpg?downsize=245:152&output-format=webp |
| 6001845422220650000 | Hilton Garden Inn Singapore Serangoon | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/201210241534203088-f96d2ff1-7267-4983-8229-4c5a96e7a96e.jpg?downsize=245:152&output-format=webp | ₹12,793 | ₹1,002 | Hotel | 4 Star | 4.3 | 1192 | https://www.goibibo.com/hotels-international/hilton-garden-inn-singapore-serangoon-hotel-in-singapore-6001845422220650132/ | Indian Veg Food, Kids' Swimming Pool, Swimming Pool, Restaurant | 3 minutes walk | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/201210241534203088-2bf1814e7fb011eb97bf0242ac110003.jpg?downsize=245:152&output-format=webp | https://r1imghtlak.ibcdn.com/b4c2aae0f0ed11ea954f0242ac110005.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/201210241534203088-6253689aaae811eeab4b0a58a9feac02.jpg?downsize=245:152&output-format=webp | https://r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/201210241534203088-1bfb7e90a34911eb83c80242ac110002.jpg?downsize=245:152&output-format=webp | //r2imghtlak.ibcdn.com/r2-mmt-htl-image/htl-imgs/201210241534203088-f96d2ff1-7267-4983-8229-4c5a96e7a96e.jpg?downsize=245:152&output-format=webp |
The Five Layers of the Goibibo Dataset
Rather than one flat export, the Goibibo dataset splits into five connected layers, licensed individually or together as a complete Goibibo Travel Dataset, joined on common route, property, and booking keys.
Goibibo Flight Dataset
The structured layer behind every flight search result — route, carrier, fare class, and the seat-availability signals that drive fare movement.
- Origin-destination pair, airline, flight number, and departure/arrival times
- Fare class and fare-type flags (refundable, non-refundable)
- Layover and connection details for non-direct routes
- GoCash offer amount tied to specific fares where applicable
Goibibo Hotel Dataset
The structured layer behind every hotel listing, with particular depth in the budget and unbranded-property segment that defines much of Goibibo’s catalog.
- Property name, star rating, location, and amenity list
- Hotel Assured certification flag for quality-verified budget properties
- Room-type inventory, occupancy limits, and meal-plan options
- Date-level availability calendar by property
Goibibo Pricing Dataset
GoCash credit doesn’t behave like a simple percentage discount, and this layer keeps the wallet-based structure intact rather than collapsing it into an effective price.
- Fare and rate history tracked by days-to-departure or days-to-check-in
- GoCash offer amount, tracked separately from the listed cash price
- Promotional and coupon-linked pricing
- Tax and convenience-fee breakdowns
Goibibo Booking Dataset
Pay-at-Hotel changes what a listed price actually commits a traveler to, and this layer captures that booking-term distinction explicitly.
- Pay-at-Hotel eligibility flag per property, distinguishing zero-upfront bookings from prepaid ones
- Cancellation policy and GoCash-versus-cash refund terms
- Booking lead-time patterns and minimum-stay requirements where applicable
- Package-itinerary structure for bundled multi-day travel deals
Goibibo Reviews Dataset
Star ratings tell you something went wrong; written reviews tell you what, whether that’s a flight-booking issue or a hotel-stay complaint.
- Individual reviews with rating, review text, and submission date, for both flights and hotels
- Verified-booking flag and anonymized reviewer identifier
- Aspect-level sentiment: booking accuracy, property or flight quality, customer support, and value for money
- Rating distribution and review-velocity trends by property or route
Where the Goibibo Dataset Runs Deepest
Goibibo’s catalog spans domestic and international travel with particular strength in India’s budget and mid-market hotel segment.
Domestic Flight Routes
Deep historical fare coverage across India’s high-volume metro routes.
Budget & Hotel Assured Properties
Particular depth in certified budget-hotel inventory across tier-2 and tier-3 cities.
Pay-at-Hotel Listings
Zero-upfront booking properties tracked distinctly from standard prepaid listings.
Holiday Packages
Bundled flight-plus-hotel itineraries tracked as combined-pricing units.
Add-Ons
GoCash issuance-pattern archives, Hotel Assured density mapping by city, and festive-season fare and rate tracking.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Fare and Rate Benchmarking
Track how competitor OTAs price the same route or property against Goibibo, day by day across the booking window.
GoCash Economics Research
Understand how wallet-credit amounts compare to direct cash refunds across booking types and cancellation timing.
Budget-Hotel Market Mapping
Track Hotel Assured-certified property density and pricing across tier-2 and tier-3 Indian cities.
Pay-at-Hotel Adoption Analysis
Measure what share of budget-hotel inventory offers zero-upfront booking, and how that share shifts over time.
AI and LLM Training Data
Use the clean, labeled Goibibo Hotel Dataset as training data for budget-travel recommendation models.
Sentiment and Quality Research
Mine review-level data to understand what drives satisfaction differences across certified and non-certified budget properties.
Who Actually Uses the Goibibo Dataset
The Goibibo Dataset delivers travel and booking insights to support tourism analytics, pricing research, and competitive intelligence.
Budget Hotel Chains
Benchmark pricing and Hotel Assured certification density against competing budget properties.
Competing Travel Platforms
Track GoCash and Pay-at-Hotel adoption strategy against one of India’s value-focused OTAs.
AI & ML Companies
Source clean, structured budget-travel pricing data for recommendation and demand-forecasting models.
Market Research Firms
Build category reports on India’s value and budget-travel segment using multi-year historical depth.
Hospitality Consulting Firms
Validate budget-segment pricing and certification-strategy recommendations with verified, current data.
Investment & Analyst Teams
Track fare trends and wallet-economics adoption as alternative-data signals on India’s travel sector.
What This Dataset Actually Saves You
Manually tracking fares, GoCash-linked pricing, and Pay-at-Hotel availability across hundreds of routes and properties isn’t realistic without automation — and a plain price scrape will miss the wallet-credit and booking-term structure entirely.
Hours Back, Not Days
A structured feed replaces manual fare-checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of fare and rate data lets you separate genuine seasonal demand from routine booking-window price movement.
Understanding Wallet and Booking-Term Economics
A listed price on Goibibo often isn’t the full picture. Tracking GoCash and Pay-at-Hotel terms tells you what the traveler actually commits to.
Built Around Your Pipeline, Not Ours
Pick the routes, properties, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Goibibo Data Collection Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from Goibibo’s publicly visible search-result pages — no credential bypass, no restricted API access.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it ships.
Deduplication
Repeat pulls of the same route, property, or date are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep fare, rate, and booking-term fields current without you having to request a re-pull.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available platform data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Travel Data Scraping infrastructure behind our other travel-platform datasets — it’s a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Access the Goibibo Dataset in flexible formats with delivery options designed for seamless integration into your existing systems, analytics tools, and data workflows.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
Choose flexible Goibibo Dataset pricing plans tailored to your data volume, update frequency, and business requirements.
One-Time Dataset Purchase
From $199
A one-time Goibibo dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by route, property, or date range before delivery
Enterprise License
Contact Sales
Full-network, domestic and international coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
WebDataInsights delivers reliable Goibibo Dataset solutions with accurate value-focused travel data and actionable insights for market research and competitive intelligence.
Track Record at Scale
Millions of verified records collected and refreshed continuously across major travel-booking platforms — Goibibo is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible platform data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, route, or property set we haven’t listed here? We build custom Goibibo dataset configurations on request.
Questions People Actually Ask Us About the Goibibo Dataset
These come from real conversations with hotel chains, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Goibibo’s travel-booking data — flight fares, hotel rates, GoCash wallet-credit pricing, Pay-at-Hotel booking terms, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed.
GoCash is Goibibo’s wallet-based cashback system, where cancellation refunds and promotional credits are issued as spendable wallet balance rather than a direct cash refund. The Goibibo Pricing Dataset tracks GoCash offer amounts separately from the listed cash price.
Pay-at-Hotel is a booking model where a guest can confirm a room without paying anything upfront, settling the bill at check-in instead. The Goibibo Booking Dataset flags which listings offer this eligibility distinctly from standard prepaid bookings.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Fares and rates can refresh intraday on enterprise plans, since prices and GoCash offers move continuously. Listings update daily, and reviews update on a rolling basis.
Yes — tell us the routes, destinations, properties, fields, and refresh cadence you need, and we scope the extract accordingly rather than delivering a generic full export.
Yes, more than two years of historical fare and rate data, useful for understanding seasonal demand patterns and booking-window pricing curves.
Yes. Because Hotel Assured is a specific quality-certification badge for India’s budget and unbranded-hotel segment, the Goibibo Hotel Dataset flags certified properties distinctly from non-certified listings.
Yes. Only publicly visible pages on Goibibo’s platform are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data and is likely to miss GoCash offer amounts or Pay-at-Hotel eligibility entirely if it only captures the headline price. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Even under shared ownership, Goibibo’s product features — GoCash wallet economics, Pay-at-Hotel, and Hotel Assured certification — are distinct from other platforms’ loyalty and booking structures, and this dataset captures them as they actually appear on Goibibo’s own listings.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Goibibo’s Value-Focused Travel Data
3.2M+ verified records, daily fare and rate refreshes, and 2+ years of historical depth across Goibibo’s budget-focused Indian travel platform — starting at $199.