Tripadvisor Hotel Scraper
Tripadvisor Hotel Scraper
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Extract hotel names, ratings, images, and reviews from Tripadvisor pages into a structured, downloadable table. Save time collecting hotel data for research or analysis.
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Extract Tripadvisor Hotel Data FastScrape hotel names, ratings, prices, and reviews from Tripadvisor in just a few clicks. Automate data collection for research or business needs.
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Extract Tripadvisor Hotel Data Fast
Thunderbit lets you pull structured hotel data from Tripadvisor listings or detail pages with minimal setup. Just provide a URL, and the tool extracts hotel names, ratings, prices, and review counts into a clean table—no manual copy-paste required.
You can further enrich your dataset by scraping subpages, summarizing or categorizing hotel information, and exporting results to Google Sheets, Airtable, or Notion. Thunderbit supports scraping from PDFs, images, and paginated lists, making it ideal for travel research, competitor analysis, or market monitoring.
How to Extract Hotel Data Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionNavigate to the Tripadvisor hotel listing or hotel detail page you want to scrape. Open the Thunderbit Chrome Extension and select the "Tripadvisor Hotel Scraper" tool from the menu. Enter the Tripadvisor URL in the provided field.
STEP 3Click the Extract Hotel Data ButtonClick the "Extract Hotel Data" button. Thunderbit will process the page and extract hotel names, URLs, prices, ratings, and number of reviews into a structured table. You can export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.
Learn how to extract hotel data from Tripadvisor listings
Extract Structured Hotel Information
The Tripadvisor Hotel Scraper allows you to pull key details from any Tripadvisor hotel listing or detail page. By entering a URL, you can quickly gather hotel names, ratings, review counts, images, and direct links. This tool is ideal for travel agents, market researchers, and hospitality professionals who need organized data for analysis or comparison, eliminating the need for manual data collection from multiple pages.
Convert Unstructured Content into Downloadable Tables
Transform messy web content into a clean, structured table with just a few clicks. The scraper automatically organizes extracted data into columns such as hotel name, rating, and number of reviews. This streamlines your workflow, reduces errors, and ensures you have reliable information ready for reporting or further processing. It’s especially useful for anyone compiling hotel lists for business intelligence or travel planning.
Export Data to Your Preferred Platforms
Once the hotel data is extracted, you can export it directly to Excel, Google Sheets, Airtable, or Notion. The output is formatted for easy integration, so you can immediately use the data for presentations, client reports, or database updates. This feature is valuable for teams that need to share or analyze hotel information across different tools without extra formatting steps.
Support Travel Research and Competitive Analysis
Use the extracted hotel data to compare ratings, track review trends, or build comprehensive lists for destination research. Travel agencies, bloggers, and analysts can leverage this tool to monitor market changes, identify top-performing hotels, or create content based on up-to-date Tripadvisor information. The ability to gather and organize data efficiently supports better decision-making and content creation.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week