TripAdvisor Restaurant Data Extraction

@usmanbashir12100

Hi, I can extract and structure 100+ TripAdvisor restaurant listings with names, addresses, ratings, review counts, and cuisine types, while handling pagination and inconsistent listing formats carefully. I can use Python with Playwright or Selenium where appropriate, validate extracted fields, remove duplicates, and deliver a clean dataset in your preferred format with accuracy checks before handoff. A few questions: * Which destination or geographic area should the 100+ restaurants cover? * Do you need the data delivered as CSV, Excel, JSON, or another format? * Should cuisine types be captured exactly as displayed on TripAdvisor or normalized into consistent categories? Best regards, Muhammad Usman

@belarjsoufiane20

Hi, I can help you extract and organize 100+ restaurant records into a clean, accurate dataset. I’ll capture the restaurant name, full address, rating, number of reviews, and cuisine type while maintaining consistent formatting throughout the dataset. I have strong experience with Python, pandas, web data extraction, Excel, and handling large datasets. I’ll pay close attention to accuracy, remove duplicates, and validate the collected information before delivery. I’m available to start immediately and can deliver a well-structured Excel or CSV file according to your requirements.

@JustinJcob

I got you! I can extract a clean, accurate list of 100+ TripAdvisor restaurants with name, address, ratings, reviews, and cuisine type, organized in your preferred format. I’m ready to handle the scraping/data extraction carefully, verify the entries for accuracy, and manage the dataset efficiently. I’m young, a fast learner, and available 24/7 to complete revisions quickly. Get the demo first before you pay. A couple of quick questions: Which city/region or TripAdvisor search URL should I extract from? Do you want the final file in Excel, CSV, or Google Sheets? Let’s chat and discuss the answers so I can start right away. Kind regards, Haroon Z

@sagarwal3005

Extracting a comprehensive list of over 100 restaurants from TripAdvisor requires meticulous web scraping to gather details like names, addresses, ratings, reviews, and cuisine types accurately. I would use tools such as Puppeteer or BeautifulSoup to navigate TripAdvisor's layout efficiently, ensuring that the data collected is reliable and formatted correctly. My skills in handling large datasets and attention to detail will guarantee that the final output meets your requirements. With a 4.9-star rating across 200 client reviews and 220 projects completed, I deliver quality results. Can you specify if you need the data in a particular format?

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc) with 15+ years of experience in data extraction, Python, Excel, web scraping, and data processing. I read your TripAdvisor restaurant data extraction request carefully, and I understand you need a clean, comprehensive list of 100+ restaurants delivered accurately and in a usable format. I’ve handled similar data mining and structured dataset work, and I focus on accuracy, clean formatting, and useful output. For this, I’d work in simple phases: 1) confirm the exact fields you need, 2) extract and clean the restaurant records, 3) remove duplicates and inconsistencies, 4) deliver a well-organized Excel file ready to use. Could you please clarify the following questions to help me better understand the project? 1) Which fields do you want for each restaurant, like name, rating, cuisine, location, review count, price range, and TripAdvisor URL? 2) Do you need restaurants from a specific city/country, or should I build the list from a broader area/category? 3) Should the final file be strictly Excel, or do you also want CSV or Google Sheets? I’m very detail-focused, and that usually makes the difference between a rough export and a dataset you can actually use immediately. I’ll make sure the final output is clean, consistent, and ready for your next step. Looking forward to helping with this and delivering it properly. -James

@mayr81

TripAdvisor Restaurant Data Extraction , I can build a reliable extraction workflow to compile 100+ restaurants with: name, full address, ratings/reviews, and cuisine type. Expect careful handling of pagination/variants, deduping, consistent formatting, and a clean output (CSV/JSON) ready for analysis. Accuracy matters here, so I’ll validate fields per entry and keep review/rating data aligned with the correct restaurant page. Deliverables will be structured, well-formed, and complete for bulk use, no missing columns, no messy merges.

@Aaleen110

This job needs a decision on how to get the data, either building a custom scraper or using an existing tool. I would build a custom scraper. Custom scrapers offer more control over the data fetched, so they are better for specific needs like this. I will build the scraper in Python using Beautiful Soup for parsing and Requests for fetching the pages. The script will navigate to the target TripAdvisor pages, identify the restaurant listing elements, and extract the Name, Address, Ratings, Reviews, and Cuisine Type for each. I will handle pagination by finding the next page links and looping until all restaurants are extracted. The common failure on this kind of job is scraping too aggressively and getting blocked by TripAdvisor's anti-bot measures. I will implement delays between requests and a user-agent rotation to avoid this. I am a Preferred Freelancer on Freelancer with a 5.0 rating, 100% on time and 100% on budget. This experience means I can deliver reliable results. I need a specific start URL for the restaurant listings you want extracted. Provide that URL so I can begin.

@gauravgargcs

Hello, Hope you are doing well, I’ll build a reliable extraction workflow, handle pagination and data consistency carefully, validate the collected fields, and provide the final dataset in an easy-to-use format such as CSV or Excel. With 10+ years of experience in Python, web scraping, automation, and large-scale data extraction, I can deliver accurate results efficiently. Let’s chat to confirm the target location/categories and required output format. thank you Regards Gaurav Garg

@HanyasSalem

Hi there, As an experienced data analyst, my core forte lies in data extraction, management, and presentation. I have the tools and acumen needed to meticulously scrape TripAdvisor in order to compile a comprehensive list of restaurants for you. My attention to detail is unwavering, which ensures the accuracy of the information I collect. What sets me apart is my capacity to handle large datasets proficiently, which will be necessary for extracting over 100 restaurant entries. Over the course of my career, I’ve developed effective techniques to streamline these processes and ensure timely delivery. Rest assured that with me on board, your project will be in capable hands. Overall, my unique skill set including proficiency in Excel and data management combined with my deep understanding of biostatistics guarantees a thorough approach and an excellent end-product for clients like you. Let's get started on this exciting project today!

@FloatingFish29

TripAdvisor listing pages hide most of what you actually want. Cuisine type and full address often don't appear until you open the individual restaurant page, so a scraper that only walks the results list comes back with 100 half-empty rows. That's why the run happens in two passes. First the listing pages collect names and detail URLs, then each URL gets visited to pull the address, cuisine tags, rating and review count from the page itself. Slower, but it's the difference between a usable dataset and one you have to finish by hand. The other thing worth flagging is that ratings render after page load, so a plain HTML fetch often returns blanks where the stars should be. That usually explains missing rating columns in scraped TripAdvisor data. You'd get a clean CSV or Excel file, one row per restaurant, with duplicates removed and blanks marked rather than guessed. Which city or area should the 100+ restaurants come from, and do you want them ranked in TripAdvisor's order? — Christina

@venplura

Hi there! Quick question - are you looking to capture restaurant data from specific cities or regions, or do you need a broader geographic spread across TripAdvisor? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. kind regards, Corné