Scraping Airbnb listings from various websites is among the most popular Web Scraping apps that help to scrape listings from Airbnb with Python and BeautifulSoup. This might be done by keeping an eye on the rates, building an aggregator, or improving the user experience on current hotel booking services.
This can be accomplished using a simple code. We will use BeautifulSoup to extract data and information from Airbnb.com.
To begin with, we will prefer to use some codes to extract data from Airbnb.com search pages and configure BeautifulSoup in assisting inquiring the page for useful data using CSS selectors.
-- coding: utf-8 --
from bs4 import BeautifulSoup
import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.airbnb.co.in/s/New-York--NY--United-States/homes?query=New York, NY, United States&checkin=2020-03-12&checkout=2020-03-19&adults=4&children=1&infants=0&guests=5&place_id=ChIJOwg_06VPwokRYv534QaPC8g&refinement_paths[]=/for_you&toddlers=0&source=mc_search_bar&search_type=unknown'response=requests.get(url,headers=headers)
soup=BeautifulSoup(response.content,'lxml')
To get blocked, we are also passing the user agent headers to fake a browser call.
Now, let us look at the Airbnb consequences for a certain destination. The below image shows how does it look.
When we look at the website, we notice that each HTML item is included within a tag that includes the attribute itemprop and the value itemListElement.
We can simply divide the HTML document into these cards, each of which contains personal item data, as shown below.
-- coding: utf-8 --
from bs4 import BeautifulSoup
import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.airbnb.co.in/s/New-York--NY--United-States/homes?query=New York, NY, United States&checkin=2020-03-12&checkout=2020-03-19&adults=4&children=1&infants=0&guests=5&place_id=ChIJOwg_06VPwokRYv534QaPC8g&refinement_paths[]=/for_you&toddlers=0&source=mc_search_bar&search_type=unknown'response=requests.get(url,headers=headers)
soup=BeautifulSoup(response.content,'lxml')#print(soup.select('.a-carousel-card')[0].get_text())for item in soup.select('[itemprop=itemListElement]'):
try:
print('----------------------------------------')
print(item)
print('----------------------------------------')
except Exception as e:
#raise e
print('')
Once you run the code:
python3 scrapeAirbnb.py
You can see that the code isolates the HTML cards..
On closer inspection, the name of the bed and breakfast always includes the area-label property. So let’s see if we can get it back.
-- coding: utf-8 --
from bs4 import BeautifulSoup
import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.airbnb.co.in/s/New-York--NY--United-States/homes?query=New York, NY, United States&checkin=2020-03-12&checkout=2020-03-19&adults=4&children=1&infants=0&guests=5&place_id=ChIJOwg_06VPwokRYv534QaPC8g&refinement_paths[]=/for_you&toddlers=0&source=mc_search_bar&search_type=unknown'response=requests.get(url,headers=headers)
soup=BeautifulSoup(response.content,'lxml')#print(soup.select('.a-carousel-card')[0].get_text())for item in soup.select('[itemprop=itemListElement]'):
try:
print('----------------------------------------')
print(item.select('a')[0]['aria-label'])
#name = item.find("meta", itemprop="name")
print(name) print('----------------------------------------')
except Exception as e:
#raise e
print('')
This will display the result:
Now let us extract the other pieces of information.
-- coding: utf-8 --
from bs4 import BeautifulSoup
import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'}
url = 'https://www.airbnb.co.in/s/New-York--NY--United-States/homes?query=New York, NY, United States&checkin=2020-03-12&checkout=2020-03-19&adults=4&children=1&infants=0&guests=5&place_id=ChIJOwg_06VPwokRYv534QaPC8g&refinement_paths[]=/for_you&toddlers=0&source=mc_search_bar&search_type=unknown'response=requests.get(url,headers=headers)
soup=BeautifulSoup(response.content,'lxml')
for item in soup.select('[itemprop=itemListElement]'):
try:
print('----------------------------------------')
print(item.select('a')[0]['aria-label'])
print(item.select('a')[0]['href'])
print(item.select('._krjbj')[0].get_text())
print(item.select('._krjbj')[1].get_text())
print(item.select('._16shi2n')[0].get_text()) print(item.select('._zkkcbwd')[0].get_text())
print(name) print('----------------------------------------')
except Exception as e:
#raise e
print('')
When you run the code:
It displays all the data we need including reviews, ratings, links, and reduced price.
In more complicated solutions, you will even have to rotate the User-Agent string, so Airbnb cannot detect if you are using a similar browser. If we go a step further, you will find that Airbnb will block your IP, ignoring all the previous efforts. This is disappointing because that is where the majority of web crawling programs fall short.
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