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AirBnB scrapping - Washington (page 1 to 56)
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# coding=utf-8 | |
from bs4 import BeautifulSoup | |
import csv | |
import requests | |
with open('washington.csv', 'w') as csvfile: | |
fieldnames = ['flat','url','lat','lon','usr','price_night'] | |
writer = csv.DictWriter(csvfile, delimiter=';',fieldnames=fieldnames) | |
writer.writeheader() | |
#writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'}) | |
for i in range (1,56): | |
r = requests.get("https://www.airbnb.fr/s/Washington--District-de-Columbia--États~Unis?ss_id=6ai4vew1&page=1"+str(i)) | |
data = r.text | |
soup = BeautifulSoup(data) | |
divs = soup.find_all('div') | |
for div in divs: | |
#price = str(div) | |
#print price | |
lat = div.get('data-lat') | |
lng = div.get('data-lng') | |
usr = div.get('data-user') | |
url = div.get('data-url') | |
name = div.get('data-name') | |
nextDiv = div.findNext('div', attrs={'class':'panel-overlay-bottom-left panel-overlay-label panel-overlay-listing-label'}) | |
if (nextDiv != None): | |
span = nextDiv('span',attrs={'class':'h3 price-amount'}) | |
if (lat != None): | |
nameunicode = name.encode('ascii', 'ignore') | |
completeurl = "https://www.airbnb.fr" + url | |
price = str(span).replace('[<span class="h3 price-amount">',"").replace('</span>]','') | |
writer.writerow({'flat': nameunicode ,'url': completeurl ,'lat':lat,'lon':lng,'usr':usr,'price_night':price}) | |
print name + ";" +"https://www.airbnb.fr"+url + ";" + lat +";"+ lng + ";" + usr + ";" + str(span).replace('[<span class="h3 price-amount">',"").replace('</span>]','') | |
r = 0 |
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