Booking.com scraper
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Extract Booking.com accommodation data for faster hotel comparison and research.
Scrape hundreds of webpages with the Thunderbit Chrome Extension in one click, try the Thunderbit API for free, or use our Web Scraping Service to save engineering time.
Scrape Booking Listings FasterUse Thunderbit to extract hotel data from Booking.com with no coding. Pull structured listings, prices, ratings, and amenities in a few clicks.
Install fromChrome Web Store
Scrape Booking Listings Faster
Scrape Booking.com pages, subpages, PDFs, docs, and images to collect accommodation details in structured rows. Summarize, categorize, and format results, then export to Google Sheets, Airtable, or Notion.
Save time on hotel research by turning search results into clean data for comparison, pricing checks, and market analysis. Thunderbit handles repetitive extraction so you can focus on decisions instead of copy-paste work.
How to Scrape Booking.com Listings 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 ExtensionGo to Booking.com and search for the destination, dates, guest count, room preferences, price range, and star rating you want to collect. Open the Thunderbit Chrome Extension, then select the Search Booking.com tab and enter the search criteria in the fields provided.
STEP 3Click the Scrape Booking.com ButtonClick the Scrape Booking.com button. Thunderbit will extract the listing data into a structured table with property name, address, price per night, rating, review count, amenities, and listing URL. After the scrape finishes, you can download the results as JSON or CSV.
Learn how to scrape Booking.com accommodation data
Search Accommodation Listings
This tool searches Booking.com using your destination, dates, guest count, and room preferences, then gathers accommodation results into a structured table. It helps travelers, travel agents, and market researchers avoid manual copy and paste when comparing hotel options. You can review property names, locations, nightly prices, and ratings in one place, which makes it much easier to shortlist the right stays.
Extract Prices, Ratings, and Amenities
The scraper pulls key listing details such as address, price per night, review count, amenities, and direct booking links. It is useful when you need clean data for comparison, reporting, or analysis across many properties. Instead of checking each result one by one, you get organized information that is ready for filtering, sorting, and decision making.
Export Results to Your Workflow
After scraping, the accommodation data can be downloaded as JSON or CSV for use in spreadsheets, dashboards, or internal reports. This makes it easy to compare hotels side by side, share findings with teammates, or build your own travel database. Structured output reduces manual formatting work and helps keep the data consistent across searches.
Compare Hotels for Planning and Research
Use this scraper for trip planning, competitive travel research, or accommodation tracking across different destinations and dates. Travel teams can build lists of suitable properties, while analysts can monitor price shifts and availability patterns. By turning Booking.com search results into organized data, the tool supports faster comparisons and more reliable research.
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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.
