Data Engineer / Web Scraper – Hospitality Market Intelligence (

@ZohaibRoy

⭐⭐⭐⭐⭐ Data Engineer/Web Scraper for Hospitality Market Insights in SEA & MENA ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a Data Engineer or Web Scraping Specialist. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects in data extraction and analysis. I will gather hotel pricing and amenities data from Malaysia, Indonesia, Vietnam, Turkey, and the UAE, ensuring high granularity and accuracy. ➡️ Why Me? I can easily handle your data scraping project, having 5 years of experience in web scraping and data engineering. My skills include Python, Scrapy, and data normalization. I also have a strong grip on bypassing anti-bot measures and sourcing data from reliable platforms, ensuring you get the best results within your budget. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work and explain how I will ensure high-quality data delivery. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python ✅ Scrapy ✅ Selenium ✅ Data Normalization ✅ Web Scraping ✅ Data Engineering ✅ API Integration ✅ Data Cleaning ✅ SQL ✅ Data Analysis ✅ Competitor Benchmarking ✅ Hotel Pricing Analysis Waiting for your response! Best Regards, Zohaib

@juanjosec63

Hi, As a individual developer and I can jump into on your suitable time. I can help in your project by building a reliable hospitality market intelligence pipeline for SEA and MENA regions, covering hotel daily rates, room-type normalization, breakfast pricing, extra bed costs, connected room flags, and structured delivery in CSV, JSON, or SQL-ready format from reputable OTA sources. With my expertise in full-stack development and experience working with modern web technologies like Python, Scrapy, Selenium, Puppeteer, REST APIs, data pipelines, proxy-based scraping workflows, and large-scale data normalization, i can fix this quickly, and for this kind of multi-region dataset I would use Python-based scraping and ETL with strong validation logic to keep competitor benchmarking and room comparisons accurate across sources.

@alizain721

I know how painful it is to get clean, comparable hotel rates from multiple OTAs while dodging anti-bot defenses and messy room-type labels. You need daily, room-level rates plus extras like extra-bed and breakfast costs, and that’s where most projects fail. The best thing about me is I’ve worked on a very similar project recently: I built a Python scraping and normalization pipeline for SEA hotels that pulled daily ADR by room type, captured breakfast and extra-bed fees, flagged connected-room attributes, and output clean CSV and SQL-ready tables while using residential proxies and headless browsers to stay reliable. I understand the flow: scheduled crawlers hit OTAs/GDS, extract room types, rates, ancillary fees and metadata, normalize labels across properties, store in Postgres or CSV, and provide a one-time historical dump with an optional incremental updater. I’d use Python with Scrapy/Playwright, proxies, Docker, and a Postgres/JSON output. Do you have a seed list of hotels or should I discover properties per market? Do you want currency-normalized rates and a preferred base currency? Happy to chat or hop on a quick call to scope timeline. Regards Ali Zain!!

@Zawiya3

Having extensive experience as a data scientist, full-stack developer, and certified AWS professional, I believe I am the perfect fit for this project. Throughout my career, I have successfully executed complex web scraping projects similar to yours using tools like Python, Scrapy, Selenium and Puppeteer, which aligns directly with your requirements. Also, my experience in overcoming anti-bot measures like residential proxies and headless browsers will ensure that we have a comprehensive dataset for you. Furthermore, my data normalization skills are an excellent match for your need to maintain precise comparisons across similar hotel tiers. My understanding of accruing high-granularity data will contribute significantly to the ADR, extra bed costs, breakfast pricing analysis you require. As a seasoned freelancer with versatile skills in web development and Machine Learning (ML), I guarantee delivering cleaned and structured data in your preferred format (CSV, JSON or direct SQL upload). Additionally, being well-versed with Content Management Systems like Wordpress, Joomla, Django etc., I can leverage these platforms and my expertise in Data analysis to make sure you get updated information in future as per your need.

@ashikultamal

Hi, I can build a robust scraping pipeline to extract hotel pricing (ADR), room-type breakdowns, extra bed costs, breakfast pricing, and inventory attributes (like connected rooms) across Malaysia, Indonesia, Vietnam, Turkey, and UAE. I’ll structure the data for clean competitor benchmarking with normalized room categories, daily-rate granularity (historical + forward-looking), and deliver in CSV/JSON or direct SQL—ready for AI ingestion. Quick alignment: do you need city-level coverage (e.g., top metro areas only or nationwide across all properties), and should forward-looking rates be captured for a fixed future window (e.g., next 30 days) or rolling daily updates? Pricing and timeline will be finalized after discussion. Let’s connect in the chatbox to align and get started.

@billybryan98

Hello, I hope you are doing well. I am a dedicated data engineer with extensive experience in large-scale web scraping, including hospitality and travel datasets. I specialize in building robust pipelines, normalizing diverse hotel-structure data, and delivering clean, query-friendly outputs. I will design a scalable scraping process that targets trusted OTAs and GDS sources, with strategies to handle anti-bot measures and ensure daily-rate granularity for Malaysia, Indonesia, Vietnam, Turkey, and the UAE. The solution will include granular room types, additional bed surcharges, breakfast costs, and inventory flags, with data delivered in CSV, JSON, or directly into SQL as requested. I will implement a reproducible workflow: source selection, data normalization across hotel tiers, and metadata tagging to guarantee comparability of “Deluxe Room” across properties. The deliverable will be a one-time historical dump plus a pathway for future updates, aligned with your 2-month window needs. Please feel free to discuss the exact schemas and delivery cadence so we can tailor the pipeline to your AI model and analytics stack. Best regards, Billy Bryan

@ffulb

Your hospitality market intelligence project needs a scraping tool that can handle booking sites across Malaysia, Indonesia, Vietnam, Turkey, and UAE while extracting room rates, extra bed costs, breakfast pricing, and connected room flags. I'll build you a Python scraper with rotating proxies, headless browsers, and structured CSV/JSON output that handles the 2-month historical + forward data requirements. I built something similar - a price aggregation engine that tracks 800+ game prices across multiple stores with daily updates and comparison data. You can see that and my other automation projects at ffulb.com. The scraper will include retry logic, rate limiting, and data validation to ensure clean competitor benchmarking data for your AI system. Available to start immediately and can deliver the working scraper within a week. The tool will be yours to run and customize as needed.

@sudhir0112

Hi, I noticed the core challenge here isn't just the scraping—it’s the data normalization across fragmented OTA structures to ensure an "Extra Bed" surcharge in Dubai is technically comparable to one in Bali. In my experience as a Senior PM for Amazon FSx for Lustre, I managed high-performance data environments where structural integrity at scale was the baseline for ML training.I’ve handled massive data optimization before, such as developing Deep Learning architectures at MIT that reduced processing time by 99%. For your project, I'd implement a Python-based stack using Scrapy and Playwright with residential proxies to bypass anti-bot measures on Agoda and Booking.com. My focus would be on a robust parsing layer to standardize room metadata and ancillary costs into a unified SQL schema.I can deliver the initial historical dump for all five regions within 10 to 14 days. Are you prioritizing real-time API connectivity or a static bulk upload for this phase? Regards Sudhir

@mariamz24

Hello, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on PHP, Python, Machine Learning (ML), Data Science, Web Development, RESTful API, Data Integration, GraphQL, API Development, AI Development Please come over chat and discuss your requirement in a detailed way. Regards

@Hemantt841

Capturing granular, accurate hotel pricing and ancillary service data across diverse markets like SEA and MENA demands meticulous attention to detail and a robust technical approach. The challenge lies not only in extracting daily rates segmented by room types but also in standardizing these across different hotel tiers and geographic nuances to enable meaningful competitor benchmarking. Incorporating critical metadata such as extra bed costs, breakfast pricing, and inventory flags for connected rooms will ensure your AI system receives a richly detailed dataset, essential for precise market intelligence and predictive analytics. Leveraging advanced web scraping frameworks such as Python’s Scrapy combined with Selenium or Puppeteer will allow for reliable data extraction from major OTAs and GDS platforms while effectively navigating anti-bot protections using residential proxies and headless browsing techniques. A strong focus on data normalization will ensure that room categories and pricing structures are harmonized across all five target markets. The final deliverable will be a clean, structured dataset in CSV or JSON format, with the option for direct SQL uploads, optimized for seamless integration into your AI infrastructure. Commitment to quality and timeliness underpins this project’s success. A comprehensive two-month historical and forward-looking dataset will be delivered promptly, with scalability options for future updates as needed. Clear communication and collaborative refinement will guarantee that the dataset meets your analytical needs precisely. Let’s discuss your timeline and specific data priorities to initiate a tailored solution that drives actionable hospitality market insights.

@ivanm465

Hello, I would love to help. I have read the details you shared and I understand the outcome you want. I am an expert with 6 years of experience in Python, Web Development, API Development and I helped many clients reach their goals. Visit my profile to check my latest work and reviews from past clients. Looking forward to working with you, connect in chat. Regards, Motko Ivan

@imranhaider2018

Hey , I just went through your job description and noticed you need someone skilled in Data Science, RESTful API, API Development, AI Development, Web Development, GraphQL, Data Integration, PHP, Python and Machine Learning (ML). That’s right up my alley. You can check my profile —I’m Software engineer working at large-scale apps as a lead developer with U.S. and European teams. I’ve handled several projects using these exact tools and technologies. Before we proceed, I’d like to clarify a few things: Are these all the project requirements or is there more to it? Do you already have any work done, or will this start from scratch? What’s your preferred deadline for completion? Why Work With Me? 1) Over 230 successful projects completed. 2) I have not received a single bad feedback since the last 5-6 years. 3) You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. 4) Long-term track record of happy clients and repeat work. I prioritize quality, deadlines, and clear communication. Availability: 9am – 9pm Eastern Time (Full-time freelancer) I can share recent examples of similar projects in chat. Let’s connect and discuss your vision in detail. Kind Regards, Imran Haider

@tarast7

Hello, How are you? I have checked your job description and I’m confident I can complete exactly what you need. With extensive experience in AI-driven data engineering, large-scale web scraping, and high-granularity hospitality datasets, I can build a reliable pipeline to extract hotel pricing, room‑type breakdowns, ancillary fees, and metadata across Malaysia, Indonesia, Vietnam, Turkey, and the UAE. I work with Python, Scrapy, Selenium, rotating residential proxies, and automated normalization logic to ensure accurate tier‑to‑tier hotel comparisons. I can deliver clean CSV, JSON, or SQL-ready structures, including historical and forward-looking daily-rate data aligned with your AI model requirements. This project aligns perfectly with my technical background and past hospitality-market intelligence work. Please send me a message so that we can discuss more. Thanks

@Ashnasajid

Hi, I can do this. With extensive experience in web scraping and data engineering, I have successfully executed large-scale projects in the hospitality sector. I utilize Python with frameworks like Scrapy and Selenium, ensuring efficient data extraction while bypassing anti-bot measures. For this project, I propose using Scrapy for scraping and Pandas for data normalization, delivering the dataset in CSV format. I estimate a timeline of 4-6 weeks for comprehensive data collection across the specified regions, ensuring high granularity and accuracy. I have access to reliable OTAs and GDS for sourcing data, which will enhance the dataset's quality. My familiarity with the hospitality industry will ensure that the data is structured for effective competitor benchmarking. Looking forward to the opportunity to contribute to your project. Best regards, Ashnasajid

@matheussilva114

Hi, I am Matheus, a senior software developer with over 7 years of experience as you can check my profile. I am a senior engineer with over 7 year of experience on PHP, Python, Machine Learning (ML), Data Science, Web Development, RESTful API, Data Integration, GraphQL, API Development, AI Development. Please visit my profile to view my latest projects, certificates, and work history. Best, Matheus Regards, Matheus

@teerthofficial

Hello there, I’ve carefully reviewed your project details and fully understand your requirements. I’m confident that I can deliver high-quality results that meet your expectations within the given timeframe. I’d be happy to discuss your project further and get started right away. Best regards, Thanks

@Sadiyasyeda24

I saw your project and am confident I can deliver on this. I'm currently working on a similar project and understand the importance of extracting high-granularity data for competitive analysis. With a focus on Malaysia, Indonesia, Vietnam, Turkey, and the UAE, I ensure direct comparison of hotel rates and detailed room breakdowns, meeting your core requirements. Analyzing competitive pricing trends and ancillary service costs is crucial, and my expertise in web scraping and data engineering guarantees accurate and reliable results. This project aligns perfectly with my skill set, ensuring the successful extraction and compilation of the required dataset. I invite you to view my portfolio, which showcases the quality and results of my past work. I look forward to hearing from you. Regards, Sadiya

@liamm300

✅5 days✅ Hi, I can deliver a high-granularity hotel dataset across SEA & MENA with daily rates, room-type normalization, and ancillary data (extra beds, breakfast, connected rooms). I'll use Python (Scrapy + Playwright), rotating residential proxies, and anti-bot strategies to reliably extract from Booking, Agoda and Expedia. Data will be cleaned, normalized and structured (CSV/JSON/SQL-ready) with clear tier/location benchmarking. I've handled similar large-scale scraping pipelines with scheduling support for future updates. Let's talk.

@kaoser208

Hi, I’ve worked on several web scraping and data engineering projects where I extracted large-scale structured datasets from dynamic websites, including travel and e-commerce platforms. I primarily use Python with tools like Scrapy, Selenium, and Playwright to handle both static and heavily JavaScript-driven sites. For this project, I will build a reliable scraping pipeline to collect hotel pricing and related metadata across Malaysia, Indonesia, Vietnam, Turkey, and the UAE. The data will include room-level pricing (Standard, Deluxe, Suite), along with important ancillary details such as breakfast costs, extra bed charges, and room attributes like connected rooms. To ensure accuracy and consistency, I will: Use headless browsers and proxy rotation to handle anti-bot protections Normalize room types and pricing structures for cross-hotel comparison Clean and validate the dataset before delivery Deliver the final output in your preferred format (CSV, JSON, or SQL) Structure the data in a way that is ready for analysis or AI model integration. I also design my pipelines in a modular way so they can be reused or updated later if you need ongoing data collection.