OYO Rooms Reviews Scraper

A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape OYO Rooms data seamlessly, reliably, and at scale.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

codingfrontend

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Features

Scrape reviews from specific hotel URLs directly
Auto-discover hotels by city name (city discovery mode)
Pagination support for review pages per hotel
Extracts rating, review text, reviewer name, date, stay type, category ratings
Configurable sort order (most recent, most helpful, by rating)
Parallel processing: 5 hotels processed concurrently

Input

Field	Type	Default	Description
`hotelUrls`	string[]	`[]`	Direct OYO hotel URLs (bypasses discovery)
`cities`	string[]	`["Mumbai"]`	City names for hotel discovery
`maxHotels`	number	`5`	Max hotels to scrape reviews from
`maxReviewsPerHotel`	number	`50`	Max reviews per hotel
`maxReviewPages`	number	`5`	Max review pagination pages per hotel
`reviewSortBy`	string	`"recent"`	Sort: `recent`, `helpful`, `rating_high`, `rating_low`
`headless`	boolean	`true`	Headless browser mode
`proxyConfiguration`	object	`{}`	Proxy settings (RESIDENTIAL+IN recommended)

Output

Each dataset record is one review:

{
  "hotelName": "OYO 12345 Sunshine Hotel",
  "hotelId": "12345",
  "hotelRating": 3.8,
  "hotelTotalReviews": 412,
  "hotelUrl": "https://www.oyorooms.com/hotel-in-mumbai-oyo-12345/",
  "reviewerName": "Priya S.",
  "rating": 4.0,
  "reviewDate": "2 days ago",
  "reviewText": "Clean rooms, helpful staff. Checkout was smooth.",
  "stayType": "Couple",
  "helpfulCount": 3,
  "categories": {
    "Cleanliness": 4.5,
    "Staff": 4.0,
    "Value": 3.5
  },
  "reviewPage": 1,
  "scrapedAt": "2026-05-18T10:00:00.000Z"
}

Architecture

Uses the queue + parallel processing pattern (same as amazon-product-scraper):

DISCOVERY requests (one per city)
    ↓ discover hotel URLs
HOTEL_REVIEWS requests (one per hotel) ──→ parallel (maxConcurrency: 5)
    ↓ scrape page 1 reviews + queue pagination
REVIEW_PAGE requests (page 2, 3, ...) ──→ parallel (maxConcurrency: 5)
    ↓ scrape remaining review pages
Dataset

Notes

OYO uses React with CSS class names that change with deployments; multiple selector fallbacks are used.
Use RESIDENTIAL proxy with IN country code for best results on OYO India.
Review pagination may not always be available; the scraper gracefully handles this.