Tripadvisor Portugal Reviews Scrape

@saqibmunir55

I can scrape ~2,000 recent Tripadvisor hotel reviews across Portugal with high accuracy and clean structuring. I have strong experience handling dynamic websites, pagination, and anti-bot protections using Python (Scrapy, Selenium, Playwright, BeautifulSoup). For your dataset, I will extract: • Review text, rating, and date (formatted DD/MM/YYYY, 2024+) • Hotel name, city, district • Total review count & number of rooms • Type of stay, reviewer language & country • Management response (text + date) I will ensure: • At least 50% reviews include management replies • No duplicates and correct hotel-review mapping • Clean UTF-8 encoding (all accents/special characters preserved) • Well-structured CSV ready for analysis Approach: I’ll use a hybrid method (requests + Selenium/Playwright) to handle dynamic content and lazy loading, ensuring complete extraction without missing reviews. Data validation and deduplication checks will be applied before delivery. I’ve completed similar large-scale review scraping projects (Google Maps, Booking, Yelp) and can share sample CSV snippets in chat for structure verification. I’m ready to start immediately and can deliver within your budget and timeline. Let’s discuss further. Best regards

@husseinhoss

Hello, I am an expert in Python web scraping and automation using Selenium, SeleniumBase, Scrapy, and BS4 for almost 5 years. ✅ Can create GUI desktop applications that run through a simple EXE file (no installations or packages required). ✅ Can bypass Cloudflare (free methods) and captchas (using an affordable solving service). ✅ Can automate desktop programs and browser actions efficiently to eliminate repetitive manual tasks. ✅ Programs are designed for both technical and non-technical users. ✅ Fast, accurate, and always active (as shown in clients’ reviews). ✅ I offer continuous maintenance plans for my bots. Thanks.

@muneeb6767

I can scrape 2,000+ Tripadvisor reviews (2024+) with full fields, ensuring accurate hotel mapping, responses, and a clean structured CSV using Python (Selenium + BeautifulSoup). You’ll get deduplicated, well-formatted data with proper dates and multilingual text preserved.

@giaphung2k1

Hello I can efficiently scrape TripAdvisor Portugal reviews to build your research dataset of recent travel experiences. I'll deliver clean, structured data, perfectly formatted for your research. Let's discuss your exact requirements to ensure a high-quality, research-ready dataset. Giáp Văn Hưng

@ahmedRofikul

As an experienced web scraper, I fully understand the importance of detail-oriented work and respect for a platform's loading patterns, pagination and dynamic elements - which is crucial in successfully completing a web scraping project like the one you have described. With 8+ years of experience in graphic design, website design, digital marketing and virtual assistance - I have had extensive exposure to projects requiring an acute attention to detail; critical in delivering your desired outcome. I primarily specialize in Python with Scrapy, Selenium and BeautifulSoup – all of which are instrumental tools in scraping rich, structured data. In fact, I recently completed a similar task for a client collecting over 3000 reviews from a travel site. Please find attached a sample CSV to showcase my structuring quality. Beyond my technical prowess in data scraping, I pride myself on clear communication and on-time project completion - ensuring your requirements are impeccably met within the specified timeline. Just as you have expertly defined your needs, I promise to deliver uncompromising accuracy with no duplicated rows, flawless hotel-to-review matching and consistent field order. In conclusion, with my specialized skills, extensive experience and a strong desire to achieve optimal outcomes for every project – I am confident that should you select me for this project we will create a well-structured dataset that precisely matches your needs. Thank you for considering me!

@mahrsaad211

Hello dear, I can do this project perfectly and handle the complete Tripadvisor data scraping with full accuracy. I will carefully collect all required hotel reviews from Portugal dated 2024 or later without missing any details. I will ensure proper handling of pagination and dynamic content so every record is captured correctly. I will deliver a clean CSV file with review text, ratings, hotel details, reviewer info, and management responses in proper format. All data will be well-structured, duplicate-free, and matched correctly with consistent fields and DD/MM/YYYY dates. I can also share sample CSV snippets of similar work, let’s discuss and start right away. Best Regards, Muhammad Saad.

@engrsaifulsaif

Hello, I’ve worked with 60+ clients on structured web data extraction and large-scale scraping projects, including review datasets and travel-related platforms. I can build a reliable Python-based scraper (Scrapy/Selenium as needed) that respects pagination, dynamic loading, and data integrity to collect all required Tripadvisor hotel reviews in Portugal from 2024 onward. The output will be a clean, deduplicated CSV with consistent formatting, including management replies where available and all required metadata fields. Your investment will be handled responsibly, and if you’re not satisfied, I’m happy to refund it. I can also share examples of similar scraping and dataset structuring work. Regards, Saiful

@Jalpanvi786

Hello there, I hope you’re doing well. I’ve read your project Tripadvisor Portugal Reviews Scrape, and I’m confident I can deliver exactly what you need. I bring over 7 years of hands-on experience working with Data Extraction, Data Processing, Web Scraping, and I have also completed similar projects with great results recently. You can expect timely delivery, clear communication, and work until you’re 100% satisfied. I have already started working on your project. Please award me and let me know if you have any other requirements. Best regards, Ismail

@jidasan45

With a deep understanding of the project requirements and a wealth of experience in I'll fix your problems. I will provide high-quality, error-free data entry services for ensuring all information is organized, formatted, and delivered according to your specific requirements. I am a Data Entry Expert. I have knowledge of Microsoft Word, Microsoft Excel,  Microsoft Access,  Microsoft PowerPoint etc full of Lead Generation course.I will give 100% satisfaction work. Services Offered • Data Migration: Accurate transfer of data from [PDFs, handwritten notes, or websites] into [ Excel, Google Sheets, or CRM]. • Data Cleaning: Identifying and removing duplicates, correcting formatting errors, and verifying entries. • Web Research: Sourcing and compiling contact lists or product information as needed. • Quality Assurance: A double-check process to ensure 100% accuracy before submission. Why Choose Me? • Attention to Detail: I pride myself on a "zero-error" workflow. • Tool Proficiency: Expert in Excel (VLOOKUP, formatting, formulas), Google Suite, and [mention any CRM or software]. • Confidentiality: I handle all client data with the utmost security and discretion. You may or may not give your project. Once you come to my ID and talk to me please see all the projects I have done so far. Waiting for your positive reply. Let's start building your dream website today and bring your vision to life! Thank you ❤

@ihorz5

Hello, I understand you need approximately 2,000 recent Tripadvisor hotel reviews from Portugal, including detailed fields such as review text, ratings, hotel information, reviewer data, and management replies. I can confidently scrape this data accurately, preserving all languages, accents, and special characters while ensuring correct hotel-to-review matching. I will build a structured scraping system using Python with Scrapy, Selenium, or BeautifulSoup to handle dynamic loading, pagination, and data extraction. On top of that, I will clean, deduplicate, and organize all records into a well-structured CSV that follows your requested format with dates in DD/MM/YYYY. The system will support complete and accurate review capture, with consistent field order and management reply inclusion for at least half the records. I prioritize accuracy and maintainable code, so the scraper can be reused and adjusted easily. Let’s talk about more details in chat so I can tailor the scraping workflow exactly to your Tripadvisor dataset requirements. Looking forward to working with you

@zamanh20

Hi, I can collect and structure around 2,000 Tripadvisor reviews for hotels in Portugal, ensuring all data is from 2024 or later and accurately formatted. I will include all required fields such as review details, hotel information, reviewer data, and management responses (ensuring at least 50% coverage). The final dataset will be clean, well-organized, and delivered as a structured CSV with no duplicates. I have experience handling large-scale data extraction with high accuracy. If you initiate a chat, I can share sample work for your review.

@artur1992123

Hey! I can deliver this fast, 2000 Portugal hotel reviews (2024+) scraped from TripAdvisor, cleaned, and exported to CSV with DD/MM/YYYY dates. And I've built multiple scraping tools (Upwork parser, sports data extractors) using Python + Puppeteer/Selenium, handling anti-bot measures and structured data export. Is straightforward: target hotel pages - filter by date, extract review text + metadata, normalize dates, output CSV. I'm offering a symbolic rate (€12) because I need strong reviews to grow on Freelancer, you get fast, quality work at minimal cost. Ready to start immediately. Artur https://www.freelancer.com/portfolio-items/11324084

@omair890

Are you looking for a reliable, 5-star quality freelancer who can efficiently gather and organize traveller reviews from Tripadvisor? I can ensure the dataset is accurate, well-structured, and aligned with your specific requirements, including all the requested fields and without duplication. I have experience with web scraping using Python, leveraging frameworks like Scrapy and Selenium to handle dynamic content and ensure no data is missed. Please find a few sample snippets from previous scraping projects attached below to demonstrate the quality and structure of my work. Let me know if you'd like to discuss the specifics or have any other questions!