Travel Web Scraping

unpack the value of Travel data

Scraping travel data can be your gateway into understanding hospitality markets, predicting future trends, and making better decisions.

Here's our overview based on years of crawling travel data.

Travel crawling visualization

Travel Data Use Cases

top reasons to crawl travel websites

Travel and hospitality industry is highly dynamic and data-volatile, so staying ahead means understanding your competitors and meeting customer expectations as quickly as possible.

Room rates, airline ticket prices, and customer reviews can shift in an instant, and keeping up with these changes is essential for success. This is where web scraping becomes a game-changer for your business.

Whether you're monitoring competitor pricing, tracking availability, or analyzing guest feedback trends, web scraping equips you with the data you need to make smarter, faster decisions.

Some real-life scenarios by Scrapfly users

Market price awareness is a key part of any travel business strategy and scraping the price can help you plan your pricing accordingly.

Travel sources like Booking.com and TripAdvisor.com usually list their occupancy rates, flight prices, and available features which can be used to to design effective pricing strategies.

Long term price monitoring helps to keep track of your competitors' pricing strategies and identify pricing trends. It can also be used to validate pricing contracts with your partners.

When it comes to the technology, price scraping is used in scheduled scrapers as well as real-time scrapers for dynamic pricing calculations during the customer process.

Understanding the travel markets is crucial for any travel related business and scraping the market data can help you make informed decisions.

For strong market analytics often large travel platforms like Booking.com or TripAdvisor.com are scraped.

For collecting contacts and business overview data business listings sources like Yellowpages.com and Google Maps are web scraped.

So collecting big data from hospitality websites can help you understand market trends, identify customer preferences, and connect with related business.

Monitoring your competitors is a key part of any hospitality-related business strategy. By scraping competitor pricing and performance data, you can keep track of your own strategy performance and design price strategies accordingly.

This information can help you identify areas where you can improve your own listings, pricing, and marketing strategies to stay ahead of the competition especially since so much of the travel industry data is very transparent like hotel's occupancy rates, flight prices, and available features.

Bigger businesses often have distributions and marketplaces they don't control and monitoring these avanues for how your brand is presented is popular use of travel web scraping.

Not only that, but travel web scraping can be used to validate product presentation and pricing to ensure business contracts are followed and brand integrity is maintained.

Customer reviews are a valuable source of feedback and insights for any business. Scraping review data from travel platforms can help you analyze customer sentiment, identify product issues, and improve customer satisfaction.

Travel review scraping can also be used to monitor competitor reviews, track product ratings, and identify new market oppurtunities.

Top Travel Scraping Targets

the most scraped travel targets today

Web Scraping Tripadvisor.com

Tripadvisor.com is the world’s largest travel platform, offering millions of reviews, ratings, and recommendations for hotels, restaurants, attractions, and experiences. It provides travelers with detailed insights and tools to plan their perfect trip, from booking accommodations to discovering hidden gems.

Tripadvisor.com is also a valuable resource for businesses to connect with travelers and showcase their services through its comprehensive listings and advertising options.

guide for web scraping tripadvisor.com using Python or Javascript

How to Scrape Tripadvisor.com

For more on scraping Tripadvisor see our introduction guide which covers everything you'd need to know about scraping Tripadvisor listings, reviews and other details.

Web Scraping Booking.com

Booking.com is one of the world’s leading travel platforms, offering an extensive selection of accommodations, including hotels, apartments, and unique stays. It provides detailed property information, customer reviews, and competitive pricing, making it a trusted choice for travelers worldwide.

Booking.com is also a valuable platform for property owners to reach a global audience and manage their bookings seamlessly through its user-friendly interface.

guide for web scraping booking.com using Python or Javascript

How to Scrape Booking.com

For more on scraping Booking see our introduction guide which covers everything you'd need to know about scraping Booking hotel listings, reviews and other details.

Web Scraping Yelp.com

Yelp.com is a trusted platform for finding local businesses, offering millions of reviews and ratings for restaurants, shops, services, and more. It provides detailed business information, customer insights, and helpful tools to make informed decisions about where to eat, shop, or hire services.

Yelp.com is also a valuable resource for business owners to connect with potential customers through its advertising options and comprehensive business listings.

guide for web scraping yelp.com using Python or Javascript

How to Scrape Yelp.com

For more on scraping Yelp see our introduction guide which covers everything you'd need to know about scraping Yelp listings, reviews and other details.

Web Scraping Yellowpages.com

Yellowpages.com is a comprehensive online directory for local businesses, connecting users with services across various industries, including restaurants, healthcare, home services, and more. It provides detailed business information, contact details, and user reviews, making it a trusted resource for finding local professionals and companies.

Yellowpages.com is also a valuable platform for businesses to enhance their visibility and reach local customers through its directory and advertising options.

guide for web scraping yellowpages.com using Python or Javascript

How to Scrape Yellowpages.com

For more on scraping Yellowpages see our introduction guide which covers everything you'd need to know about scraping Yellowpages listings, reviews and other details.

Web Scraping Maps.google.com

Google Maps is the world’s most widely used mapping platform, providing detailed navigation, real-time traffic updates, and location data for millions of businesses and landmarks. It offers tools for discovering nearby services, exploring local areas, and planning routes with precision.

Google Maps is also a valuable resource for businesses to connect with customers by listing their locations, reviews, and essential information on the platform.

guide for web scraping maps.google.com using Python or Javascript

How to Scrape Maps.google.com

For more on scraping Google Maps see our introduction guide which covers everything you'd need to know about scraping Google Maps listings, reviews and other details.

Travel Data Made Easy

don't let the complexities of travel data hold your business back

from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse

client = ScrapflyClient(key="API KEY")

api_response: ScrapeApiResponse = client.scrape(
  ScrapeConfig(
    # add page to scrape
    url='https://www.booking.com/hotel/us/marriott-marquis-san-francisco.html',
    asp=True,  # enable bypass anti-scraping protection
    render_js=True,  # enable headless browser if necessary
    country="US",  # set location for region specific data
    # use AI to extract data
    extraction_model='hotel'  # or 'review_list' for reviews
  )
)
# use AI extracted data
print(api_response.scrape_result['extracted_data']['data'])
# or parse the html yourself 
print(api_response.scrape_result.content)
import { 
    ScrapflyClient, ScrapeConfig 
} from 'jsr:@scrapfly/scrapfly-sdk';

const client = new ScrapflyClient({ key: "API KEY" });

let api_response = await client.scrape(
    new ScrapeConfig({
        url: 'https://www.booking.com/hotel/us/marriott-marquis-san-francisco.html',
        asp: true, // enable bypass anti-scraping protection
        render_js: true,  // enable headless browser if necessary
        // use AI to extract data
        extraction_model: 'hotel'  // or 'review_list'
    })
);
// use AI extracted data
console.log(api_response.result['extracted_data']['data'])
// or parse the HTML yourself
console.log(api_response.result['content'])
http https://api.scrapfly.io/scrape \
key==$SCRAPFLY_KEY \
url==https://www.booking.com/hotel/us/marriott-marquis-san-francisco.html \
asp==true \
render_js==true \
country==US \
extraction_model=hotel
Output
1

Send an API Request

bypass any blocking and use a real web browser
2

Get Data & Screenshots

get html, browser data and page screenshots
3

Extract Value with AI & LLM

use LLM prompts and AI auto parsers to find data
Web Scraping API Web Scraping API

Web Scraping API

Screenshot API Screenshot API

Extraction API

Screenshot API Screenshot API

Screenshot API

Web Scraping API

Web Scraping API

Unlock the Real Power of Web Scraping

Power through scraping challenges using intelligent tools that save time and maximize results with the best success rate and cutting-edge features

Extraction API

Extraction API

Realize the Potential of Your Data

Maximize your efficiency with an AI-powered extraction process designed to save you time. Effortlessly extract data with AI, LLMs, and customizable templates

Screenshot API

Screenshot API

Effortlessly Capture the Visual Web

Capture web page screenshots effortlessly using real browsers optimized for screenshots

Seamlessly Integrate with Frameworks & Platforms

Easily integrate Scrapfly with your favorite tools and platforms, or customize workflows with our Python and TypeScript SDKs.

Frequently Asked Questions

How to unblock access to Travel websites?

While scraping travel websites is legal, some websites may block access to their data if they can detect robot-like behavior. For this, you can fortify you scrapers against identification yourself using tools and techniques covered in our blog here or you can leave it to the Web Scraping API to handle it for you!

Is web scraping travel websites legal?

Yes, generally web scraping publicly visible travel data is legal in most places around the world. However, extra consideration should be noted on scraping copyrighted data like images or reviews. For more see our in-depth web scraping laws article.

What travel data can be scraped?

Travel websites are incredibly rich with variety of data: product listings, reviews, prices, seller details, and more. All of this data can be scraped and used for market analysis, price monitoring, and competitor tracking.

Are Proxies enough to scrape travel data?

No, most modern travel websites can identify proxies and blocking access to their public data. To bypass travel blocking you'll need to use combination of new bypass tools and techniques or defer these steps to a service like Web Scraping API .

What is a Web Scraping API?

Web Scraping API is a service that abstracts away the complexities and challenges of web scraping and data extraction. This allows developers to focus on creating software rather than dealing with issues like web scraping blocking and other data access challenges.

How can I access Web Scraping API?

Web Scraping API can be accessed in any http client like curl, httpie or any http library in any programming language. For first-class support we offer Python and Typescript SDKs.

How to extract data from scraped travel pages?

Modern travel websites often store data in page HTML, embedded JSON and generate it through background requests. So, to extract full travel dataset it's best to use AI tools capable of understanding all of these data facets like Extraction API