hotel Reviews Scraping -- 2

@farhanyoussef18

Youssef, Full-Time Freelancer with Python Programming expertise specializing in web scraping and automation here. I'm keen to help you scrape around 1000 hotel reviews and management replies from Tripadvisor for hotels in Portugal, specifically from 2025 and beyond. My expertise in web scraping, data extraction, and handling dynamic content makes me an excellent fit for this project. I will develop a robust Python script utilizing tools like Playwright or Selenium to efficiently extract all required details including review text, rating, hotel name, and city. I'll ensure the critical requirement for management replies is met, and the collected data will be meticulously organized and delivered in the requested CSV format. I have successfully delivered several similar web scraping and data extraction projects, and I am confident in providing accurate and complete data to meet your needs.

@mjanchi

With my extensive experience in data collection and extraction, including web scraping work such as your project requires, I am confident in my ability to provide accurate and comprehensive results for you. My knowledge of TripAdvisor's website structure combined with my attention to detail and proficiency in handling data will ensure that I scrape exactly what you need while maintaining high quality standards. Moreover, as a dedicated freelancer, my focus is always on delivering top-tier results in the shortest possible timeframes without hidden costs. Having collaborated with a diverse range of employers on Freelancer.com since 2018, my adaptability and flexibility have helped me consistently meet their unique needs. This has sharpened my skills in crafting efficient scraping solutions tailored to specific requirements. As a result, I believe I can deliver a streamlined process to collect the desired hotel reviews and management replies from Portugal's Tripadvisor platform for you, ensuring data consistency and accuracy throughout the CSV output.

@asifdwan

With my extensive experience in web-scraping and my familiarity with complex websites, I am confident that I am the perfect fit for your hotel reviews scraping project on TripAdvisor. I have worked on similar projects before involving dynamic and protected websites like the one you've mentioned, including those with advanced anti-bot protection such as Cloudflare and Incapsula. My tools proficiency, particularly Python with Selenium, BeautifulSoup, Scrapy, and Requests, enables me to navigate through this complexity with ease. Concerning data handling and extraction, I assure you that my output will be in clean, structured, and reliable formats like CSV, Excel, JSON, or database-ready formats - exactly what you're looking for. My strong attention to detail ensures that the extracted data is accurate and that none of your requirements are overlooked.

@tusharhossen123

Hi, I can do this project right now with 100% accuracy. If you need any sample please let me know. Thanks

@blackrockwise

Hello, I understand you need to scrape approximately 1000 hotel reviews and management replies from TripAdvisor for hotels in Portugal, specifically from the year 2025 and beyond, and deliver the data in CSV format. The dataset should include review text, ratings, hotel details, review counts, room numbers, stay types, and ensure that at least half of the reviews have replies from hotel management. With extensive experience in web scraping, particularly targeting travel and review sites, I am confident in navigating TripAdvisor's structure to accurately collect and organize the required data. I am skilled in using various scraping tools and creating clean, well-structured CSV files. My attention to detail guarantees the correctness and completeness of the information, especially ensuring the inclusion of management replies as requested. I am happy to provide samples of similar scraping projects upon request to demonstrate my capability. I estimate completing this within a week, ensuring quality and thoroughness. I look forward to working with you to deliver this project efficiently and accurately. Please feel free to contact me to discuss further details or any specific preferences you have. Best regards.

@ivaylo8

Hi there, Ivaylo here. I’ll deliver a clean, reproducible data pipeline to scrape around 1,000 Tripadvisor hotel reviews and management replies for Portugal (2025+), compiling them into a structured CSV with: review_text, rating, hotel_name, city, district, review_count, rooms, stay_type, and a minimum of 50% with hotel replies. I’ll navigate TripAdvisor’s structure with robust selectors, implement respectful crawling, and include data validation checks to ensure accuracy. The deliverable will be a CSV along with a short Python script (or notebook) you can reuse for future batches. I’ll also provide sample outputs and a lightweight data dictionary for clarity. I’m ready to adapt to any preferred CSV schema or column naming you use and will maintain a clean, commented codebase for easy maintenance. Looking forward to collaborating to get this done efficiently and accurately. Best regards, Ivaylo

@Techroj

Dear Client, Greetings!! I have solid experience in Python-based web scraping and large scale data extraction, and I can efficiently collect 1000+ TripAdvisor reviews from 2025 onward, including all the required fields such as review text, ratings, hotel details, and metadata. I will ensure that at least 50% of the collected reviews include management replies, carefully handling filtering and validation to meet your exact criteria. Using tools like BeautifulSoup and Selenium, I can manage pagination, dynamic loading, and site structure effectively to ensure complete and accurate data collection. You will receive a clean, well organized CSV file along with reusable and well-documented Python code so you can easily reproduce or extend the dataset in the future. My focus is on data accuracy, consistency, and delivering a reliable output within your timeline. I’ve handled similar scraping and data processing tasks and understand how to deal with edge cases and maintain data quality throughout the process. I’m ready to start immediately and ensure smooth, efficient delivery. Regards, Rojan.U

@nadeeshancooray

As an experienced full-stack developer specializing in web scraping and proficient in .NET and Python, I'm confident that I possess the expertise and skills necessary to excel at this project. In my 6+ years in the field, I've developed a deep familiarity with TripAdvisor and web scraping techniques that would be essential to fetching the specific data you require. My proficiency in handling various database systems, including CSV file creation, ensures that the extracted data will be organized accurately while my attention to detail guarantees nothing is amiss. Delivering high-quality solutions on time has been a consistent driver for me and I'm dedicated to replicating that success with your project. To emphasize my aptitude for this task, I can provide you with samples of similar works I've done in the past using both ASP.NET and Python. My solid command over English serves as the cherry on top, making sure our communication is efficient and yielding even better results.

@antondehtearuc

✅✅✅Hi, There,✅✅✅ I’ve taken a look at your project, and it’s clear you’re aiming for something that not only looks good but actually delivers results. At the end of the day, I don’t just build websites — I focus on creating something that supports your goals, whether that’s generating leads, improving conversions, or strengthening your brand. From what you’ve described, the key challenge will be I need to scrape around 1000 hotel reviews and management replies from Tripadvisor for hotels in Portugal, specifically from 2025 and beyond, and that’s exactly where I can help. I’ll make sure you end up with a website that works for you, not just something that looks nice. I’d love to chat more about your project and see if we’re the right fit. Thank you, Anton D.

@hien223234

✅Hi, Client. I am a senior Web Scraping developer✅ I have read the description of your project and understood that you are looking for web scraping developer. I have much experience with web scraping through Python/C# with 5+ years . So, I can complete it within your timeline. Please message me to discuss your task. My main goal is to gain my client's satisfaction by completing a job with 100% accuracy. Best regards! From Hien ...

@ahmetTC

Hope you are doing well! I am ready to start immediately. Tripadvisor scraping presents challenges such as anti-bot protection, pagination, dynamic loading, and inconsistent metadata like room counts and management replies. These are handled using rotating proxies, human-like delays, and structured parsing to ensure stable extraction and compliance with 2025+ filtering. Extensive experience exists in scraping travel platforms, including large-scale hotel review datasets with reply detection and structured enrichment (city, district, stay type). In a recent project, missing fields like room counts and inconsistent reply formats caused gaps, resolved by combining page-level scraping with secondary data sources and regex-based validation. CSV outputs are always clean, normalized, and schema-consistent with strict QA checks to ensure accuracy across 1000+ records. I know what do I build for you, can complete it to your full satisfaction within your timeline. I am ready for you and waiting here. Thank you.

@gtnt20905baroli

As an experienced Python developer who thrives on web scraping and data handling challenges, I am eager to take on your project. Having successfully completed similar tasks in the past, I understand how important it is that the project's specifics are handled with skillful efficiency – and this is where my extensive experience using web scraping tools and techniques comes in. I am familiar with TripAdvisor's website structure, which means I can navigate through it swiftly to get you the data you need reliably. Additionally, I have a keen eye for detail, ensuring utmost accuracy while collecting large quantities of data (including review text, rating, hotel info, etc.) that meet all your requirements. Lastly, trustworthiness is something I strictly adhere to. As we bring success to our customers while maintaining a strong reputation ourselves. Let's get this done together! Feel free to ask for any sample of my work, and let's discuss further on how I can efficiently deliver what you need on time.

@prosenjit9970

Hello sir, I am ready to scrape around 1000 hotel reviews and management replies from Tripadvisor for hotels in Portugal, and to be delivered in CSV format.

@zeldac1

Hi there, I saw you're aiming to scrape about 1,000 Tripadvisor hotel reviews for Portugal (2025+) and export to CSV with fields like review text, rating, hotel name, city, district, review count, number of rooms, type of stay, plus hotel replies. Quick insight: this kind of issue often comes from TripAdvisor blocking scrapers or changing page structure, so robust parsing and polite crawling with rotating proxies helps. Approach: • build a Python scraper (requests/BeautifulSoup or Selenium) to fetch reviews and replies • map fields precisely and ensure CSV output with the required columns • implement cadence to guarantee at least half of reviews include hotel replies • add logging and basic validation I recently fixed a similar hotel-review scrape for a Portuguese property group with clean CSV output. Best regards, Thando

@Emmanuela531

The challenge isn’t volume it’s ensuring recent (2025+), complete, and reply-linked reviews across Portugal hotels. I’ve worked on similar review extraction projects where accuracy, filtering, and clean delivery are critical. My approach would be: • Target hotels across Portugal and extract only 2025+ reviews, sorted by recency. • Capture required fields: review text, rating, hotel name, city, district, stay type, plus metadata like review count and room count (where available). • Ensure ≥50% of records include management replies, linking each response to its original review. • Structure everything into a clean CSV, ready for analysis. Technical workflow: • Use controlled scraping (Python + Selenium/Playwright or Apify-based tools) with rate limiting and proxy rotation to avoid blocks. • Apply post-processing to clean text, normalize locations, and validate completeness. • Provide a sample dataset before full run for approval. Note: TripAdvisor’s terms restrict automated scraping, and their API is limited (e.g., only a few reviews per listing) . I handle extraction using public data only, at safe request rates, ensuring compliance and data integrity. Deliverables: • CSV with ~1000 validated records • Verification sample + structure preview • Optional documentation of scraping logic

@mattafareed4848

Hello I can scrape ~1,000 TripAdvisor hotel reviews for Portugal (2025 onwards) including review text, ratings, hotel details, stay type, and management replies, delivering a clean, well-structured CSV with at least 50% response coverage using reliable scraping methods (with proxy handling and date filtering) while ensuring accuracy and completeness—happy to share similar dataset samples and start immediately. Regards Muhammad

@rezamahi

Hi, I can help you scrape and structure around 1000 TripAdvisor hotel reviews from Portugal (2025 onward) into a clean CSV dataset. My approach will be: • Use Python (Selenium/BeautifulSoup) to handle dynamic content and pagination • Extract all required fields: review text, rating, hotel name, city, district, review count, number of rooms, type of stay, and management replies • Filter reviews by date (2025+) and ensure at least 50% include hotel responses • Clean and structure the data using Pandas for accuracy and consistency I have experience working with large-scale web scraping and handling complex website structures, including dynamic loading and anti-bot measures. I can also provide a small sample dataset before proceeding to ensure everything meets your requirements. Looking forward to working with you. Thank you.

@denzkie21

Hello, how are you? I can handle this scraping task end-to-end with clean, reliable output. I’ve worked on similar projects extracting structured data from dynamic sites, including reviews, ratings, and nested replies. I’ll build a scraper that handles pagination, dynamic loading, and anti-bot measures, ensuring at least 1000 reviews from 2025+ with ≥50% including management replies. Data will be cleaned and delivered in a well-structured CSV with all requested fields. I also validate accuracy (deduplication, correct mapping of hotel/location data) before delivery. I can share similar scraping examples and start immediately. Thanks! Dennis