Scrape Hotel Data without Writing a Single Line of Code with OctoparseWednesday, January 20, 2021
According to the World Tourism Organization(UNWTO), the total number of global tourist arrivals was nearly 1,322 million in 2017, growing by a remarkable 7% from the year before. The travel industry remains one of the most competitive industries dominated by accommodation and transportation services.
What is Hotel Data Scraper
Why do we need to collect hotel and travel data?
First of all, there are not enough booking partners for hotels and travel agencies to display information, and we need to create such a place for them. Besides, hotels need to monitor customer reviews to enhance their services. Also, customers are short of comparable sources. Web scraping comes in handy from the perspective of data collection.
What are some of the hotel-related information you can collect?
- Hotel names
- Room prices
- Addresses (e.g. street, city, state, country, and postal code)
- Hotel facilities
- Phone/Fax numbers
- Room types
In short, you can extract almost any useful information you see on a webpage!
Data sources: where can you scrape data?
Hotel booking sites include TripAdvisor.com, Booking.com, Expedia.com, Trivago.com, Travelocity.com, and Hotwire.com. Each website has tons of information about hotels all over the world.
Why do you need to scrape hotel data? Below are some examples of reference
- Monitor hotel prices or the rating of hotels
Knowing what your competitors offer can help you stay on top of the game, especially when the competition is fierce as accommodation services. Having room prices adjusted and updated in a timely manner is critical to the final sales figure.
- Predict Occupancy rate
Predicting when the hotel has the highest and lowest occupancy rate is vital for an effective pricing strategy, especially during holiday times.
- Brand management: what are customers saying about you or your competitors
Having reviews and comments scrapped and analyzed can help you keep an eye on how customers are feeling towards the hotel and services offered.
- Snag the best hotel deals
- Develop an effective marketing strategy
- Create customer personas
How can we scrape hotel data efficiently?
Automatic web scrapers, like Octoparse, Dexi.io, Parsehub, and Import.io can be a smart option if you are a non-technical user but want to scrape data at a low cost.
- No coding at all
- Easy to use
Only three steps. Let's build a hotel scraper from scratch!
Take an automatic web scraping software called Octoparse for example. There already exists a Booking.com web scraping template that allows you to scrape conveniently within clicks.
But if you want to design your own scraper with Octoparse and customize extraction fields, please follow the three steps below.
Step 1. Scrape hotel data from all pages
In this article, I will extract the following information from Booking.com:
- Hotel Name
- Hotel Image URL
First, load the target webpage in Octoparse's built-in browser. To collect from all available pages, click on the next page button (">") and then select "loop click the selected link" from the Action Tips menu. Now, the crawler is instructed to go through all the available pages during the scraping process.
Step 2. Click into the detail page of each hotel
Click the title of the hotel on the listing page one by one until all the titles are selected (the selected items will be highlighted in green), then select "Loop click each element" on the Action Tips menu. Octoparse clicks into all available listings from the page. Next, you arrive at the hotel detail page.
Step 3. Select the data you need for extraction
Click on the data fields you need (i.e. name of the hotel, rating, and address are selected in the example).
Congrats! You are almost there! All you need to do next is to run the task!
To learn more about scraping data from Booking.com, you can check this step-by-step tutorial out, and you can also see how to scrape hotel data from Tripadvisor，scrape hotel data from Booking and how to scrape room listings data from Airbnb.
Artículo en español: Cómo Construir un Scraper de Hotel Datos Cuando No Eres Un Técnico
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