How to Extract Hotel Data Effortlessly with Thunderbit

Hotel data is the new gold in hospitality, but let’s be honest—digging it up has always felt more like panning for gold with a spoon than using a high-tech metal detector. I’ve seen teams spend hours copying prices, reviews, and amenities from hotel websites into spreadsheets, only to realize the data is already out of date by the time they’re done. If you’ve ever tried to keep up with shifting rates or wanted to benchmark your hotel against competitors, you know the pain. But what if you could extract all that hotel data—prices, reviews, amenities, and more—in just a few clicks, no code required? That’s exactly what we set out to solve with Thunderbit, and I’m excited to walk you through how it works.

In this guide, I’ll show you how anyone—from a hotel sales manager to a marketing analyst or even a curious beginner—can use to extract hotel data faster, smarter, and with zero technical headaches. We’ll cover everything from setting up your first project, using natural language prompts, and scheduling automatic updates, to exporting your data for real analysis. Whether you’re trying to outmaneuver the competition or just want to stop losing weekends to copy-paste marathons, you’re in the right place.

What is Hotel Data and Why Does It Matter?

Let’s start with the basics: hotel data is any information about hotels that can be collected and analyzed to drive smarter business decisions. Think of it as the digital DNA of the hospitality world. Here are some classic examples:

• Room prices and availability
• Guest ratings and reviews
• Amenities (Wi-Fi, pool, breakfast, pet-friendly, etc.)
• Location details and star rankings
• Room types and booking policies
• Images, contact info, and promotional deals Why does this matter? Because hotel data is the fuel for everything from dynamic pricing and revenue management to guest experience and competitive benchmarking. According to a , over 74% of hotels use some form of data analytics to drive decision-making. Hotels leveraging analytics for demand forecasting see 5–10% higher revenue and 15–20% lower operating costs on average (). And properties with high guest satisfaction (measured by data) can charge 42% higher room rates while keeping occupancy 7% above competitors (). Here’s how different teams use hotel data:

Bottom line: hotel data is a competitive asset. The hotels that turn raw data into actionable insights are the ones that win—whether it’s boosting revenue, delighting guests, or running leaner operations.

Challenges of Extracting Hotel Data the Traditional Way

If hotel data is so valuable, why isn’t every team swimming in it? The answer: getting hotel data out of websites is hard—especially for non-technical users.

Here’s what usually happens:

• Manual copy-paste: Teams spend hours copying prices, reviews, and amenities into spreadsheets. It’s slow, error-prone, and by the time you’re done, prices have already changed ().
• Traditional web scrapers: Classic scraping tools require coding (think Python scripts or configuring complex selectors). Even “no-code” tools often need you to fiddle with XPaths or HTML. And when the website changes, your scraper breaks ().
• Maintenance headaches: Hotel websites update layouts all the time. One tiny change can break your script, and suddenly you’re back to square one.
• Messy data formats: Even if you get the data, it’s often inconsistent—dates, currencies, and amenities all need cleaning before you can analyze anything.

I’ve seen researchers spend several hours a day gathering hotel prices manually—until they switched to automation and cut that down to 30 minutes (). For most teams, the pain of manual or technical extraction means they either give up or end up working with stale, incomplete data.

Meet Thunderbit: The Easiest Way to Extract Hotel Data

This is where comes in. We built Thunderbit as an AI-powered Chrome extension designed for business users—no coding, no technical setup, just point, click, and get your data.

Here’s what makes Thunderbit perfect for hotel data extraction:

• AI Suggest Fields: Click one button and Thunderbit’s AI reads the page, suggesting the best columns to extract (hotel name, price, rating, amenities, etc.).
• Natural language prompts: Just describe what you want (“hotel name, price, rating, amenities”) in plain English—Thunderbit maps it to structured fields automatically.
• Subpage scraping: Need more details? Thunderbit can visit each hotel’s detail page and enrich your table with extra info (like cancellation policy or room types).
• Scheduled scraping: Set it and forget it—Thunderbit can automatically update your hotel data daily, weekly, or on any schedule you choose.
• Instant export: Send your data straight to Excel, Google Sheets, Airtable, or Notion—ready for analysis and sharing.
• No code, no headaches: Thunderbit is built for beginners and pros alike. If you can use a browser, you can use Thunderbit.

I like to think of Thunderbit as your AI-powered research assistant—one that never gets tired, never complains about repetitive work, and never asks for a raise.

Step 1: Install Thunderbit and Set Up Your First Hotel Data Project

Getting started with Thunderbit is a breeze:

1. Install the : Head to the Chrome Web Store, search for “Thunderbit: AI Web Scraper & Web Automation Agent,” and click “Add to Chrome.” It works on Chrome, Edge, and Brave.
2. Sign up or log in: Create a free account (or sign in with Google). The free tier lets you try scraping right away.
3. Navigate to your target hotel website: Open the hotel listing or aggregator site you want to extract data from—think Booking.com, Expedia, Hotels.com, or even a boutique hotel’s own site.
4. Open Thunderbit: Click the Thunderbit icon in your browser toolbar to launch the side panel.

That’s it—you’re ready to start extracting hotel data.

Step 2: Use Natural Language Prompts to Define Your Hotel Data Fields

Here’s where Thunderbit’s AI shines. Instead of fiddling with code or selectors, you just tell Thunderbit what you want:

• Click “AI Suggest Fields” in the Thunderbit panel.
• Thunderbit’s AI scans the page and suggests columns like “Hotel Name,” “Price per Night,” “Rating,” “Amenities,” and more.
• Want something specific? Just type it in: “I want hotel name, price, guest rating, free breakfast, and pet-friendly status.”
• Thunderbit maps your prompt to structured fields, picking the right data type for each (text, number, date, etc.).

Example prompts for hotel data:

• “hotel name, price, star rating, amenities, number of reviews”
• “name, location, nightly rate, guest rating, cancellation policy”
• “hotel name, price per night, free breakfast (yes/no), pet-friendly (yes/no)”

You can rename columns, add custom fields, or tweak data types if you want—but most of the time, Thunderbit’s suggestions are spot on.

Step 3: Extract Hotel Data with AI—No Coding Required

Now for the fun part:

• Click “Scrape” in Thunderbit.
• Thunderbit reads through all the hotel entries on the page, pulling your selected data into a neat table.
• Got multiple pages of results? Thunderbit handles pagination automatically—clicking through “Next” or infinite scroll as needed.
• Need more details from individual hotel pages? Use subpage scraping: Thunderbit can visit each hotel’s detail page and extract extra fields (like room types, cancellation policy, or detailed descriptions).

You’ll see the data populate in real-time. Once the scrape is done, preview your table in Thunderbit—check that prices, names, and ratings are all in the right place. If something looks off, adjust your fields or prompts and run again. Usually, it’s perfect on the first try.

No code. No technical setup. Just data, ready to use.

Step 4: Schedule Automatic Hotel Data Updates with Thunderbit

Hotel data changes fast—prices, availability, and reviews can shift daily (or even hourly). That’s why Thunderbit’s Scheduled Scraper is a game-changer for staying up to date.

Here’s how it works:

• Switch to “Schedule” mode in Thunderbit.
• Describe your schedule in plain English: “every day at 8 AM” or “every Monday at 10:00.”
• Paste the URLs you want to scrape on that schedule (multiple city or hotel pages, for example).
• Thunderbit runs the scrape automatically—using cloud servers to process up to 50 pages at a time.
• Set the output to go directly to Google Sheets, Excel, or your favorite tool.

Now, your hotel data updates itself—no manual work required. Sales teams can monitor competitor prices daily, marketing can track review trends weekly, and operations can keep tabs on availability or amenities.

Step 5: Export and Analyze Your Hotel Data in Excel or Google Sheets

Once your data is scraped, it’s time to put it to work:

• Export to Excel or CSV: Download your data for analysis, reporting, or database imports.
• Export to Google Sheets: Send your data straight to a live spreadsheet—perfect for team collaboration and dashboards.
• Export to Airtable or Notion: Keep images, links, and structured data intact for richer analysis.

Tips for working with hotel data in Excel or Sheets:

• Filter and sort: Find the best deals, highest-rated hotels, or properties with specific amenities.
• Pivot tables: Compare average prices by star rating, location, or date.
• Charts and alerts: Visualize price trends or set up notifications if a competitor drops their rate.

With Thunderbit, your data is clean, consistent, and ready for action—no more wrestling with messy copy-paste jobs.

With Thunderbit, your data is clean, consistent, and ready for action—no more wrestling with messy copy-paste jobs.

Advanced Tips: Customizing and Enriching Your Hotel Data Extraction

Want to take your hotel data to the next level? Thunderbit’s got you covered:

• Field AI Prompts: For each field, add a custom instruction to clean, categorize, or translate data as it’s scraped. Example: “Output only the numeric price” or “Label as ‘Yes’ if amenities include free breakfast.”
• Subpage scraping: After scraping your main list, use “Scrape Subpages” to visit each hotel’s detail page and pull extra info (like pet policies or cancellation terms).
• Custom filters: Only want hotels with 4-star ratings or above? Use prompts or filter your data after export.
• Cloud vs. browser mode: Use cloud scraping for speed and scale (up to 50 pages at once), or browser mode for sites that require login.

You can even use Thunderbit’s pre-built templates for popular travel sites—just load the template and start scraping.

Hotel Data for Competitive Advantage: Real-World Scenarios

Let’s get practical. Here’s how teams are using hotel data (extracted with Thunderbit) to get ahead:

1. Competitor Rate Monitoring and Dynamic Pricing

A revenue manager scrapes competitor hotel prices daily. When a nearby hotel drops their rate for the weekend, they can respond instantly—adjusting their own prices or launching a promotion. Hotels using this data-driven approach have seen up to 15% revenue growth ().

2. Market Trend Spotting and Product Optimization

A marketing team scrapes booking data and reviews to spot emerging trends—like a surge in autumn weekend bookings or growing demand for wellness amenities. They launch targeted packages and campaigns, capturing new demand before competitors even notice ().

3. Guest Sentiment Analysis and Service Improvement

Operations teams aggregate reviews from multiple sites, using AI to tag common themes (e.g., “slow check-in” or “great rooftop bar”). They fix pain points and double down on what guests love—driving up satisfaction and, ultimately, revenue ().

4. Benchmarking and Competitive Intelligence

Strategy teams scrape data on competitor chains—number of hotels, pricing tiers, loyalty program features—to benchmark and adjust their own offerings. This kind of intelligence used to take weeks; now it’s minutes.

The result? More informed decisions, faster reactions to market changes, and a measurable edge over the competition.

Conclusion & Key Takeaways

Let’s recap why Thunderbit is the go-to tool for extracting hotel data:

• Anyone can use it: No coding, no technical setup—just natural language and a few clicks.
• It’s fast and accurate: Go from web page to structured data in minutes, not hours.
• Keeps your data fresh: Scheduled scraping means your team always has the latest info.
• Flexible and powerful: Customize fields, enrich data, and export to your favorite tools.
• Drives real business impact: Use hotel data for pricing, marketing, operations, and more.

Ready to try it yourself? and see how easy hotel data extraction can be. And if you want to dive deeper, check out our for more guides and tips.

Happy scraping—and may your data always be fresh, structured, and one step ahead of the competition.

FAQs

1. What types of hotel data can Thunderbit extract?
Thunderbit can extract prices, ratings, reviews, amenities, availability, room types, images, booking policies, and more from hotel websites or aggregators. You can customize the fields to match your exact needs.

2. Do I need coding skills to use Thunderbit for hotel data extraction?
No coding required! Thunderbit is designed for business users. Just use natural language prompts and Thunderbit’s AI handles the rest.

3. How does Thunderbit keep my hotel data up to date?
With the Scheduled Scraper feature, you can set up automatic, recurring data extractions (daily, weekly, etc.)—your data updates itself, no manual work needed.

4. Can I export hotel data to Excel or Google Sheets?
Absolutely. Thunderbit offers instant export to Excel, Google Sheets, Airtable, Notion, CSV, or JSON—making analysis and sharing a breeze.

5. What if I need more detailed info from individual hotel pages?
Thunderbit’s subpage scraping lets you visit each hotel’s detail page and pull extra fields (like cancellation policy, room details, or contact info), enriching your main dataset automatically.

Ready to make hotel data work for you? and see the difference for yourself.