We extract flight fares, hotel inventory, bus schedules, and user reviews from Goibibo. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Flight Itineraries objects from goibibo.com. All fields typed and schema-versioned.
"flight_id": "6E-2045", "airline": "IndiGo", "departure_airport": "DEL", "arrival_airport": "BOM", "price": 4500, "currency": "INR", "stops": 0, "cabin_class": "Economy"
| # | flight_id | airline | flight_number | departure_airport | arrival_airport | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Inventory objects from goibibo.com. All fields typed and schema-versioned.
"hotel_id": "HTL-9821", "hotel_name": "Taj Mahal Tower", "city": "Mumbai", "star_rating": 5, "user_rating": 4.6, "price_per_night": 12500, "room_type": "Superior Sea View", "discount_pct": 15
| # | hotel_id | hotel_name | city | star_rating | user_rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bus Schedules objects from goibibo.com. All fields typed and schema-versioned.
"operator_name": "VRL Travels", "bus_type": "Volvo Multi-Axle Sleeper A/C", "departure_city": "Bangalore", "arrival_city": "Goa", "price": 1200, "seats_available": 14, "duration": "12h 30m", "rating": 4.2
| # | operator_name | bus_type | departure_city | arrival_city | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for User Reviews objects from goibibo.com. All fields typed and schema-versioned.
"review_id": "REV-55412", "entity_type": "hotel", "entity_id": "HTL-9821", "rating": 5, "traveler_type": "Couple", "review_title": "Excellent stay", "date_posted": "2026-10-14", "verified_stay": true
| # | review_id | entity_type | entity_id | author_name | rating | traveler_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Promotions & goCash objects from goibibo.com. All fields typed and schema-versioned.
"promo_code": "GOFLY", "offer_title": "Flat 12% off on domestic flights", "discount_type": "percentage", "discount_value": 12, "max_discount": 1500, "min_booking_amount": 4000, "valid_until": "2026-12-31"
| # | promo_code | offer_title | description | discount_type | discount_value | max_discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Goibibo scraper navigates complex search forms, handles dynamic AJAX loads, and circumvents WAF blocks to extract clean pricing and availability data.
Track dynamic pricing across domestic and international routes, capturing base fare, taxes, and convenience fees.
Extract room-level pricing, availability, and inclusion details like breakfast and free cancellation across thousands of properties.
Monitor seat availability, operator ratings, and departure/arrival timings for intercity transport.
Aggregate user feedback, star ratings, and verified stay badges for hotels and operators.
Capture active goCash offers, bank discounts, and promo codes applied at checkout.
Execute complex itinerary searches to map pricing disparities across connection hubs.
Extract structured rules for check-in baggage, cabin limits, and tiered cancellation penalties.
Configure sub-hourly runs for volatile flight routes to feed repricing algorithms.
Route requests through specific regional proxies to capture geo-targeted pricing and availability.
Brief in. Clean data out.
Provide origin-destination pairs, hotel IDs, or route lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for goibibo.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators deploy aggressive rate-limiting and dynamic bot mitigation. Here's how we ensure reliable data extraction.
Goibibo uses Akamai and custom rate-limiting. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass WAF blocks.
Flight and hotel results load asynchronously via complex API calls. We intercept the underlying XHR requests to extract clean JSON payloads rather than parsing volatile DOM elements.
Travel search sessions expire rapidly. We automate token refresh flows and maintain active search contexts to ensure deep pagination completes without interruption.
Fares change by the minute. Our high-frequency pipelines use distributed workers to capture synchronous snapshots across hundreds of routes simultaneously.
OTA platforms frequently run A/B tests on their UI. We bind our extraction logic to the backend data models surfaced in state hydration, ensuring UI changes do not break pipelines.
OTAs and travel agencies monitor Goibibo's flight and hotel fares to adjust their own markups and maintain parity.
Hotels track their own listing visibility, competitor rates, and user reviews to optimise daily room pricing.
Enterprises track historical fare trends on frequent routes to negotiate better corporate deals with airlines.
Analysts monitor bus and flight route density, operator market share, and seasonal demand spikes.
Meta-search engines ingest Goibibo pricing data to display comparative fares alongside other providers.
Hospitality groups extract user reviews to identify service gaps and benchmark against competing properties.
"Travel pricing is the most volatile data on the internet. You cannot build a competitive OTA or revenue model on stale fares."
Scraping Goibibo requires handling aggressive rate limits, complex session tokens, and asynchronous data loads. DataFlirt manages the residential proxy networks, CAPTCHA solvers, and extraction logic so your data science team receives clean, normalised pricing feeds.
Everything supported by our goibibo.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Instead of brittle DOM parsing, we intercept Goibibo's internal GraphQL and REST responses directly via Playwright network monitoring.
We maintain pools of residential ISP proxies across India. Rotation happens per-request with sticky sessions where required to maintain search context.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About goibibo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Goibibo is generally permissible under applicable law. DataFlirt targets only public, non-authenticated pricing and availability data. We do not extract personal data or circumvent authentication walls.
We distribute requests across a large pool of Indian residential proxies, randomise request intervals, and simulate realistic user search patterns to avoid triggering Akamai WAF rules.
Yes. We configure pipelines to query specific origin-destination pairs, travel dates, and passenger configurations based on your input matrix.
We offer sub-hourly polling for high-priority routes. Standard daily or weekly sweeps are available for broader market research use cases.
Yes. We extract the base price alongside applicable promo codes, bank offers, and maximum goCash usage limits displayed on the checkout page.
Yes. We can paginate through all hotel listings in a given destination for specific dates, capturing room availability and pricing tiers.
Our smallest packages start at a defined route or property list with daily delivery. Contact us with your specific volume requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily hotel rate monitor or high-frequency flight fare tracking — we scope, build, and operate the pipeline. Tell us what you need.
