As of my last update in early 2023, Booking.com does not offer a public API for accessing its hotel and booking data for the general public or for individual developers. Their data is intended to be accessed through their website or through partner channels that have specific agreements with Booking.com.
However, Booking.com does offer an Affiliate Partner Program, which might include access to certain APIs for partners looking to integrate Booking.com services into their own websites or services. This Affiliate API typically allows partners to access content, deals, and other features that can be used to facilitate hotel bookings through the partner's platform. If you're interested in legitimate access to Booking.com data for commercial purposes, this would be the route to pursue.
To become an affiliate, you would need to apply through their affiliate partner page, and if accepted, you would receive the necessary API access and documentation needed to integrate with their systems.
If you're not a partner and are considering web scraping as an alternative to access Booking.com data, you should be aware that web scraping is a legally and ethically complex area. Web scraping could violate Booking.com's terms of service, and they may employ anti-scraping measures to prevent automated access to their site. Moreover, web scraping without permission can lead to legal action, and the data retrieved through scraping could be unreliable or outdated.
If you decide to scrape data from a website, you should:
- Review the website's terms of service to understand the legal implications.
- Check the website's
robots.txt
file to see if scraping is disallowed. Therobots.txt
file can be found by appending/robots.txt
to the website's base URL (e.g.,https://www.booking.com/robots.txt
). - Be respectful with your scraping: don't overload their servers, scrape during off-peak hours, and try to minimize the number of requests.
Here is an example of how you could technically scrape a web page in Python using Beautiful Soup, although you should not do this with Booking.com unless you have confirmed it's permissible:
import requests
from bs4 import BeautifulSoup
url = 'https://www.example.com/hotel-details'
headers = {
'User-Agent': 'Your User Agent String'
}
response = requests.get(url, headers=headers)
# Ensure the request was successful
if response.ok:
soup = BeautifulSoup(response.text, 'html.parser')
# Now you can parse the soup object to extract data
else:
print("Error fetching the page")
# Parsing the page depends on the structure of the HTML
# For example, to get the title of the page:
title = soup.find('h1').text
print(title)
And in JavaScript using Node.js with the axios
and cheerio
libraries:
const axios = require('axios');
const cheerio = require('cheerio');
const url = 'https://www.example.com/hotel-details';
axios.get(url)
.then(response => {
const html = response.data;
const $ = cheerio.load(html);
// Now you can use jQuery-like selectors to parse the page
})
.catch(console.error);
// For example, to get the title of the page:
axios.get(url)
.then(response => {
const html = response.data;
const $ = cheerio.load(html);
const title = $('h1').text();
console.log(title);
})
.catch(console.error);
Remember, web scraping should be done responsibly and legally. It's always best to look for an official API or to reach out to the website owner to see if there's a way to legitimately access the data you need.