Comprehensive Hotel Data Scrape

@imraz2016

Hi, I can build this as a structured hotel-data pipeline rather than a generic lead scrape. I’d use Python/Scrapy + BeautifulSoup, with Playwright only for public JS-rendered pages, combining hotel/chain websites, booking sources and tourism directories. I’ll respect rate limits/robots rules and won’t bypass restricted access. GM names and direct contacts will be cross-checked through official hotel pages, management/team pages, LinkedIn and credible public sources, with the source retained for QA. Records will be normalized and deduplicated by hotel/address/domain. I suggest sample → scraping/enrichment → manual QA → final CSV validation. Before quoting the full run, I’d need the target number of hotels/countries, since “worldwide” can vary significantly in scale.

@sohandas

I can build a reliable hotel dataset using Python, Scrapy/Selenium and public sources, with deduplication and validation. Quick sample ready.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Reliable Hotel Data Set with Web Scraping ❇️ Hi My Friend, I hope you're doing well. I've gone through your project requirements and see you are looking for a comprehensive hotel data set. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on data collection and web scraping. I will gather hotel information using a mix of travel booking websites, hotel-chain sites, and public tourism databases to ensure accuracy and completeness. ➡️ Why Me? I can easily create your reliable hotel data set as I have 5 years of experience in web scraping and data extraction. My expertise includes Python programming, data cleaning, and database management. I also have a strong grip on technologies like Scrapy, BeautifulSoup, and Selenium, ensuring a thorough and efficient approach to your project. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Extraction ✅ Python Programming ✅ Scrapy ✅ BeautifulSoup ✅ Selenium ✅ Data Cleaning ✅ CSV Formatting ✅ API Integration ✅ Data Validation ✅ Error Handling ✅ Database Management Waiting for your response! Best Regards, Zohaib

@ShaikhAneesa

Hi there, I’ve carefully reviewed the requirements and understand that the priority is a verified, deduplicated worldwide hotel dataset, not simply scraping the largest possible number of records. GM names, direct contact details, room counts, and consistent addresses will require multiple-source verification. First, I’ll build the collection pipeline in Python using Requests, BeautifulSoup/Scrapy, and Playwright where dynamic rendering is required, combining hotel websites, booking platforms, hotel-group sites, and legitimate public tourism sources. Then I’ll normalize names, addresses, phone numbers, ratings, room counts, and contact fields while maintaining source URLs and confidence indicators internally. For GM names and direct emails, I’ll cross-reference official hotel pages, management announcements, professional/public business profiles, and other legitimate sources rather than guessing missing information. I’d suggest milestones of sample dataset → extraction/normalization → scaled collection → verification/deduplication → final CSV validation. I’m experienced in Python scraping, Playwright, structured web research, data enrichment, verification, and large spreadsheet/CSV datasets. Please share the target hotel volume or geographic priority so I can provide an accurate fixed-price estimate and timeline. Cheers, Aneesa

@w3saddam

Hi, I can build this worldwide hotel dataset with a quality-first approach. I’ll use Python, Scrapy/BeautifulSoup, Playwright/Selenium, controlled proxies, and respectful rate limiting. I’ll combine hotel websites, booking platforms, and tourism databases, then verify GM names, emails, phone numbers, room counts, and addresses. I’ll provide a clean, deduplicated CSV, starting with a sample for approval before scaling, followed by automated and manual validation. Let’s discuss the target coverage and sample.

@hiberokpars

Hello! I can build an automated scraper to collect and clean hotel data from multiple public sources I will use PHP cURL for standard sources and Node.js Playwright when dynamic pages require browser automation I will collect hotel name rating rooms address email phone and General Manager where publicly available and remove duplicates I will first prepare a sample dataset so you can verify the structure and data quality before full scraping I will also add validation for emails phone numbers addresses and duplicate records and respect source limits and access rules Please send the target countries or approximate number of hotels and I can provide a more accurate estimate I have extensive experience in PHP scraping APIs automation and large scale data processing

@WelcomeClient

Hi There, Ready right now I'm ready to make lists hotels worldwide. I will show you sample for your satisfaction and project accuracy then we will go to start, so please contact me and share more details thanks. Check My Profile: https://www.freelancer.pk/u/WelcomeClient I would like to work on this project and can complete with 100% accuracy within the time frame. https://www.freelancer.pk/projects/excel/business-profit-loss-reporting-excel/reviews https://www.freelancer.pk/projects/data-entry/copy-listings-from-website-another/reviews Thanks, Umer

@mjanchi

Hello there, as you can see from my profile I have experience in similar projects. Please contact me for more info Thanks

@topcreator100

Hey Mate , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Data Scraping, Scrapy, Data Collection, Web Scraping, Python, Data Management, BeautifulSoup, Big Data Sales, Selenium and Data Mining. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thank you

@mayankinnovative

Hello I can handle comprehensive hotel data scraping with structured extraction of hotel names locations contact details ratings amenities pricing and other required information With 20 years of software development experience I can work with Python Scrapy BeautifulSoup Selenium APIs data cleaning validation and structured database or spreadsheet delivery A few quick questions Which hotel websites or data sources need to be scraped Which specific fields are required for each hotel record Do you need the data delivered in CSV Excel JSON or a database I’ll focus on accurate structured data extraction duplicate removal validation and clean delivery while respecting applicable website access restrictions and data usage requirements I’m available to start immediately Thanks

@rabbiawebjuggler

"Hello there! As a seasoned data analyst, I am well-equipped to handle your Comprehensive Hotel Data Scrape project. Drawing from an extensive list of skills that includes data management, data mining and, most pertinently, web scraping, I assure you of my ability to get the job done proficiently. I am particularly skilled with Python and familiar with popular scraping tools such as Scrapy/BeautifulSoup, Selenium, and can manage proxies and CAPTCHA-handling effectively. The meticulousness you require for the project aligns perfectly with my attention to detail which always ensures a minimal margin of error.

@TeraByte26

Hi Ryan, I will deliver a worldwide hotel CSV containing name, star rating, room count, full address, email, direct phone and current General Manager, sourced from booking sites, hotel chains and tourism databases. I’ll provide a verified sample within 48 hours and finish the full scrape in 7 days for £200. Shall I begin now? Best, Alex Waiting for your response in chat! Best Regards.

@ganeshrasekar

I can do it

@mdjafferali

Hi, I can build a high-quality worldwide hotel dataset with **hotel name, star rating, room count, address, email, direct phone, and current General Manager**, delivered as a clean, CSV. Please start chat with me for further details Thanks Jaffer I.

@manishashree12

Hello, I'm very interested in working on Comprehensive Hotel Data Scrape and I'm confident I can provide the quality and professionalism you're looking for. I've built an impressive portfolio of Python, Web Scraping, Data Mining, Big Data Sales, Scrapy, Data Scraping, BeautifulSoup, Selenium, Data Collection, Data Management projects over the years. Many are directly applicable to Comprehensive Hotel Data Scrape. I look forward to discussing your project Comprehensive Hotel Data Scrape in more detail and showing you how I can add value. Regards, Manisha

@longngoc2307

Hi, there. "WORLDWIDE HOTEL DATASET" - you need a clean, verified hotel database where accuracy and consistency matter more than simply collecting large volumes. I can build the pipeline with Python + Scrapy/BeautifulSoup, using Selenium only for permitted public pages that require JavaScript. I will combine hotel-chain sites, public tourism sources and other allowed sources, normalize addresses/phones, deduplicate records and validate fields before CSV delivery. GM names and direct contact details will be sourced separately from reliable public sources rather than guessed. I will start with a representative sample, validate quality, then scale and run final checks. Can you confirm the approximate number of hotel records you expect in the final dataset? Looking forward to working with you.

@jtmerch

Which regions or hotel tiers are the priority, since that determines whether the scrape leans on booking-site listings or hotel-chain sites for GM names and direct emails, which are the hardest fields to source reliably. The core ask is a clean, deduplicated CSV that supervisors and staff can trust as a single source of truth across booking platforms, chain sites, and tourism databases. - Python/Scrapy plus Selenium for JS-heavy sites, with proxy rotation and rate-limiting to respect robots. Thanks, Joseph

@codeandcommand

Global hotel data is trickier than it looks, chains reuse addresses across brands and star ratings vary by source. I would pull from Booking and Google Places with Scrapy plus rotating proxies, dedupe by lat/long, and hand you a clean CSV with name, address, city, country, and rating. Estimate here is based on the post as written and may shift once we confirm exact columns and hotel count. Can start today, first batch by Friday. Want me to send a quick scope doc?

@Dataentrychanp

Hi, I am Puja Rani. I have read your proposal completely. I have experience in this kind of work I am ready to start working. I am confident that I can handle it easily. If you are interested, please message me and we can discuss further