We extract property listings, dynamic pricing signals, room availability, and guest reviews from Oyo. 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 Property Listings objects from oyo.com. All fields typed and schema-versioned.
"hotel_id": "OYO12345", "name": "OYO Townhouse 047", "property_type": "Townhouse", "city": "Bengaluru", "latitude": 12.9716, "longitude": 77.5946, "user_rating": 4.3, "rating_count": 2145
| # | hotel_id | name | property_type | city | state | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from oyo.com. All fields typed and schema-versioned.
"hotel_id": "OYO12345", "check_in_date": "2026-10-12", "check_out_date": "2026-10-13", "selling_price": 1499.0, "currency": "INR", "available_rooms": 4, "status": "AVAILABLE"
| # | hotel_id | check_in_date | check_out_date | room_type | base_price | selling_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Room Types objects from oyo.com. All fields typed and schema-versioned.
"room_id": "RM9876", "name": "Classic Room", "max_guests": 2, "bed_type": "Queen Size", "ac_included": true, "wifi_included": true, "room_size_sqft": 120
| # | room_id | hotel_id | name | max_guests | max_adults | max_children |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from oyo.com. All fields typed and schema-versioned.
"review_id": "REV5543", "hotel_id": "OYO12345", "rating_score": 5.0, "review_date": "2026-08-14", "review_text": "Clean rooms and fast wifi.", "traveller_type": "Solo"
| # | review_id | hotel_id | author_name | rating_score | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities & Policies objects from oyo.com. All fields typed and schema-versioned.
"hotel_id": "OYO12345", "couple_friendly": true, "local_id_accepted": true, "check_in_time": "12:00 PM", "check_out_time": "11:00 AM", "free_cancellation": true
| # | hotel_id | check_in_time | check_out_time | couple_friendly | local_id_accepted | free_cancellation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Oyo scraper handles map-based pagination, dynamic XHR price hydration, and aggressive rate limiting. We deliver structured hospitality data ready for analysis.
Extract details across all tiers: Townhouse, Collection O, Capital O, Flagship, and standard OYO Rooms.
Capture base price, selling price, taxes, and total payable amounts for specific check-in date combinations.
Monitor room inventory status and sold-out flags across future date ranges.
Extract exact latitude and longitude coordinates to map property density and neighborhood coverage.
Capture critical policy flags like couple-friendly status, local ID acceptance, and cancellation rules.
Scrape guest ratings, written feedback, and traveller types to gauge property quality.
Extract data across India, Southeast Asia, Europe, and the Americas from a unified schema.
Track standard rates versus Wizard membership discounts to understand loyalty pricing strategies.
Run hourly pipelines to capture intraday price fluctuations and yield management adjustments.
Brief in. Clean data out.
Provide target cities, coordinates, or specific hotel IDs along with your required date ranges.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for oyo.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Oyo uses dynamic map loading and complex XHR requests to serve pricing. Here is how we extract it reliably.
Oyo restricts search results per viewport to limit scraping. We divide target cities into granular geographic bounding boxes, scanning each polygon to ensure 100% property discovery without hitting pagination limits.
Pricing data does not exist in the initial HTML payload. We use Playwright to intercept the backend API calls that hydrate the frontend calendar, capturing the raw JSON responses directly.
Extracting prices for multiple future dates requires maintaining complex session states. Our crawlers manage cookies and local storage precisely to simulate legitimate user date selections.
Oyo employs strict rate limiting and IP blocking. We route traffic through ISP-grade residential proxies, rotating IPs per request while maintaining sticky sessions when required for date-based pricing.
Oyo frequently runs A/B tests on their property pages. Our extraction logic relies on multiple fallback chains and structured data endpoints rather than brittle CSS selectors.
Online travel agencies monitor Oyo direct pricing against MakeMyTrip, Agoda, and Booking.com to enforce parity agreements.
Independent hoteliers track local Oyo pricing fluctuations to optimise their own daily room rates.
Real estate and hospitality groups map Oyo property density to identify underserved neighborhoods for new developments.
Rival budget hotel chains track Oyo's inventory growth and tier distribution in specific metropolitan areas.
Metasearch engines integrate structured Oyo inventory and pricing data into their own booking platforms.
Hospitality analysts extract review corpora to gauge property quality trends and identify common operational failures.
"Oyo controls a massive segment of budget hospitality globally. Extracting their pricing and inventory data transforms opaque markets into queryable intelligence."
Reliable Oyo scraping requires handling map-based pagination, dynamic XHR price hydration, and aggressive rate limiting. DataFlirt manages the residential proxies and viewport scanning infrastructure so your team can focus on yield analysis and market mapping.
Everything supported by our oyo.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.
Scrapy orchestrates crawl logic and deduplication. Playwright intercepts XHR requests and handles JavaScript rendering for dynamic pricing grids.
We route requests through region-specific residential IPs to bypass Oyo rate limits and ensure accurate local pricing.
Pipelines run on AWS infrastructure managed by Airflow, ensuring reliable scheduling for high-frequency pricing updates.
Data delivered to where your team already works — no new tooling required.
About oyo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property details, pricing, and reviews is generally permissible. DataFlirt extracts only public data and does not bypass authentication walls to access private user information.
Oyo limits the number of properties shown in a single search. We use geospatial bounding boxes to divide cities into small grids, extracting all properties within each grid to ensure total coverage.
Yes. We configure pipelines to check availability and pricing for specific check-in and check-out combinations across 30, 60, or 90 day windows.
Yes. We intercept the backend pricing API to capture the base rate, discount amounts, taxes, and the final payable total.
We support daily, hourly, or near real-time polling depending on your required SLA and target property volume.
We typically start with pipelines targeting at least 1,000 properties or specific metropolitan areas. Contact us to scope your exact requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property catalogue or a continuous price-monitoring feed across thousands of hotels, we scope, build, and operate the pipeline.
