Data Engineer / Web Scraper – Hospitality Market Intelligence (

Замовник: AI | Опубліковано: 29.03.2026
Бюджет: 250 $

​Job Title: Data Engineer / Web Scraper – Hospitality Market Intelligence (SEA & MENA Regions) ​Project Overview ​We are seeking a highly skilled Data Engineer or Web Scraping Specialist to extract and compile a comprehensive dataset of hotel pricing and amenities across five key markets: Malaysia, Indonesia, Vietnam, Turkey, and the UAE. ​The goal is to feed our AI system with high-granularity, historical, and forward-looking data to analyze competitive pricing trends and ancillary service costs. ​Scope of Work ​You will be responsible for sourcing or scraping a dataset covering a 2-month window (historical + forward-looking) with daily-rate granularity. ​1. Core Data Requirements ​Geographic Focus: Comprehensive coverage for Malaysia, Indonesia, Vietnam, Turkey, and UAE. ​Competitor Benchmarking: Rates must be structured to allow direct comparison between similar hotel tiers/locations. ​Granular Room Details: Pricing must be broken down by Room Type (e.g., Standard, Deluxe, Suite). ​2. Ancillary & Metadata Points (Critical) ​Beyond standard ADR (Average Daily Rate), we require the following specific data points: ​Extra Bed Costs: Surcharges for additional guests/beds per room type. ​Breakfast Pricing: Individual costs for breakfast if not included in the base rate. ​Inventory Attributes: Identification/flags for hotels offering Connected Rooms. ​Technical Requirements ​Data Format: Cleaned, structured delivery in CSV, JSON, or direct SQL upload. ​Source Reliability: Data must be sourced from reputable OTAs (e.g., Booking.com, Agoda, Expedia) or Global Distribution Systems (GDS). ​Frequency: Ability to provide a one-time historical dump with a mechanism for potential future updates. ​Ideal Candidate Profile ​Proven experience in large-scale web scraping (Python, Scrapy, Selenium, or Puppeteer). ​Familiarity with bypassing anti-bot measures (residential proxies, headless browsers). ​Prior experience with hospitality or travel industry data is a significant plus. ​Strong understanding of data normalization (ensuring "Deluxe Room" in Hotel A is comparable to "Deluxe Room" in Hotel B). ​How to Apply ​Please provide: ​A brief description of your experience with hospitality data or complex scraping projects. ​Your proposed tools/stack for this project. ​A rough estimate of the timeline for data delivery for the specified regions. ​(Optional) If you already have access to a proprietary database or API that covers these regions, please specify.