1 Commits

Author SHA1 Message Date
Logan Cusano
96b0bf6adb Initial push for #17
- Partial functionality
- No pagination
- Only 9 results
2023-06-16 21:53:54 -04:00
2 changed files with 193 additions and 0 deletions

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import re
import json
import pandas as pd
import requests
import os
import random
from fake_useragent import UserAgent
from bs4 import BeautifulSoup
from urllib.parse import urlparse, unquote, parse_qs
from time import sleep
ua = UserAgent()
#simply scrape
def scrape(url,**kwargs):
session=requests.Session()
session.headers.update({
'User-Agent': ua.random,
"authority": "www.zillow.com",
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"cache-control": "no-cache",
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '^\^"Windows^\^"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
})
response=session.get(url,**kwargs)
return response
# Return all sections with key and attributes
def slurp(html, tag, attributes):
return BeautifulSoup(html, features="html.parser").findAll(tag, attributes)
# Returns the first number group from a given string
def return_numbers(string):
return int(re.findall(r'\d+', string)[0])
class Listing:
def __init__(self, address, bedrooms, bathrooms, sqft, price, link):
self.address = address
self.bedrooms = bedrooms
self.bathrooms = bathrooms
self.sqft = sqft
self.price = price
self.link = link
class ScrapeZillowListings:
def __init__(self, url):
self.parsed_original_url = self.init_check_url(urlparse(url))
self.html = scrape(url).text
self.listings = []
def init_check_url(self, parsed_url):
# Check to see if we are requesting listResults
print(parsed_url)
print(unquote(parsed_url.query))
print(parse_qs(parsed_url.query)['wants'])
for want in parse_qs(parsed_url.query)['wants']:
print(unquote(unquote(want)))
return parsed_url
def run(self):
self.listings.extend(self.scrape_listings(self.html))
pages = []
for page_nav in slurp(self.html, "nav", {"role":"navigation", "aria-label":"Pagination"}):
page_nav = f"<html><head><head/><body>{page_nav}<body/><html/>"
pages_list = slurp(page_nav, "li", {})
for page in pages_list:
if re.match("\d{1,2}", page.text) and not page.text == "1":
parsed_url = self.setup_url(page.find('a').get('href'))
sleep(random.randint(0,15))
temp_html = scrape(parsed_url.geturl()).text
self.listings.extend(self.scrape_listings(temp_html))
return self.listings
def print_listings(self):
index = 0
for temp_listing in self.listings:
print("--------")
print(f"Listing #{index}")
print(temp_listing.address)
print(temp_listing.price)
print(temp_listing.bedrooms)
print(temp_listing.bathrooms)
print(temp_listing.sqft)
print(temp_listing.link)
print("--------")
index += 1
def scrape_listings(self, html):
temp_listings = []
for listing in slurp(html, "article", {"data-test":"property-card"}):
listing = f"<html><head><head/><body>{listing}<body/><html/>"
uls = slurp(listing, "li", {})
beds = 0
baths = 0
sqft = 0
for ul in uls:
ul = ul.get_text()
if ("bds" in str(ul)):
beds = return_numbers(ul)
if ("ba" in str(ul)):
baths = return_numbers(ul)
if ("sqft" in str(ul)):
sqft = return_numbers(ul)
temp_listings.append(Listing(
address=slurp(listing, "address", {"data-test":"property-card-addr"})[0].get_text(),
bedrooms=beds,
bathrooms=baths,
sqft=sqft,
price=slurp(listing, "span", {"data-test":"property-card-price"})[0].get_text(),
link=slurp(listing, "a", {"data-test":"property-card-link"})[0].get('href'),
))
return temp_listings
def setup_url(self, url):
parsed_url = urlparse(url)
print(parsed_url)
if not parsed_url.netloc:
return urlparse(f"{self.parsed_original_url.scheme}://{self.parsed_original_url.netloc}{parsed_url.path}{self.parsed_original_url.query}{self.parsed_original_url.params}")
#create dataframe
def etl(response):
#regex to find the data
for listing in listings:
print("--------")
print(listing)
print("--------")
print("FORCE STOP")
exit()
#convert text to dict via json
dicts=[json.loads('{'+i+'}') for i in num]
#create dataframe
df=pd.DataFrame()
for ind,val in enumerate(text):
df[val]=dicts[ind].values()
df.index=dicts[ind].keys()
return df
def main():
#scrapper = ScrapeZillowListings('https://www.zillow.com/westchester-county-ny/?searchQueryState=%7B%22usersSearchTerm%22%3A%22Yorktown%20Heights%2C%20NY%22%2C%22mapBounds%22%3A%7B%22north%22%3A41.69948153143324%2C%22east%22%3A-72.68804025585938%2C%22south%22%3A40.83865274682678%2C%22west%22%3A-74.29479074414063%7D%2C%22isMapVisible%22%3Atrue%2C%22filterState%22%3A%7B%22price%22%3A%7B%22max%22%3A250000%7D%2C%22ah%22%3A%7B%22value%22%3Atrue%7D%2C%22sort%22%3A%7B%22value%22%3A%22days%22%7D%2C%22land%22%3A%7B%22value%22%3Afalse%7D%2C%22cmsn%22%3A%7B%22value%22%3Afalse%7D%2C%22sche%22%3A%7B%22value%22%3Afalse%7D%2C%22schm%22%3A%7B%22value%22%3Afalse%7D%2C%22schh%22%3A%7B%22value%22%3Afalse%7D%2C%22schp%22%3A%7B%22value%22%3Afalse%7D%2C%22schr%22%3A%7B%22value%22%3Afalse%7D%2C%22schc%22%3A%7B%22value%22%3Afalse%7D%2C%22schu%22%3A%7B%22value%22%3Afalse%7D%7D%2C%22isListVisible%22%3Atrue%2C%22regionSelection%22%3A%5B%7B%22regionId%22%3A3148%2C%22regionType%22%3A4%7D%2C%7B%22regionId%22%3A2694%2C%22regionType%22%3A4%7D%5D%2C%22pagination%22%3A%7B%7D%7D')
scrapper = ScrapeZillowListings("https://www.zillow.com/search/GetSearchPageState.htm?searchQueryState=^%^7B^%^22pagination^%^22^%^3A^%^7B^%^7D^%^2C^%^22usersSearchTerm^%^22^%^3A^%^22Yorktown^%^20Heights^%^2C^%^20NY^%^22^%^2C^%^22mapBounds^%^22^%^3A^%^7B^%^22north^%^22^%^3A42.99146217894271^%^2C^%^22east^%^22^%^3A-70.80209903627659^%^2C^%^22south^%^22^%^3A39.549453943310084^%^2C^%^22west^%^22^%^3A-77.00937442690159^%^7D^%^2C^%^22mapZoom^%^22^%^3A8^%^2C^%^22regionSelection^%^22^%^3A^%^5B^%^7B^%^22regionId^%^22^%^3A3148^%^2C^%^22regionType^%^22^%^3A4^%^7D^%^2C^%^7B^%^22regionId^%^22^%^3A2694^%^2C^%^22regionType^%^22^%^3A4^%^7D^%^5D^%^2C^%^22isMapVisible^%^22^%^3Atrue^%^2C^%^22filterState^%^22^%^3A^%^7B^%^22price^%^22^%^3A^%^7B^%^22max^%^22^%^3A250000^%^7D^%^2C^%^22isAllHomes^%^22^%^3A^%^7B^%^22value^%^22^%^3Atrue^%^7D^%^2C^%^22sortSelection^%^22^%^3A^%^7B^%^22value^%^22^%^3A^%^22days^%^22^%^7D^%^2C^%^22isLotLand^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isMiddleSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isHighSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22includeUnratedSchools^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isComingSoon^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isPublicSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isPrivateSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isElementarySchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isCharterSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^7D^%^2C^%^22isListVisible^%^22^%^3Atrue^%^7D&wants=^\{^%^22cat1^%^22:^\[^%^22mapResults^%^22^\]^\}&requestId=3")
listings = scrapper.run()
scrapper.print_listings()
#df=etl(response)
return
if __name__ == "__main__":
main()
#curl "https://www.zillow.com/search/GetSearchPageState.htm?searchQueryState=^%^7B^%^22pagination^%^22^%^3A^%^7B^%^7D^%^2C^%^22usersSearchTerm^%^22^%^3A^%^22Yorktown^%^20Heights^%^2C^%^20NY^%^22^%^2C^%^22mapBounds^%^22^%^3A^%^7B^%^22north^%^22^%^3A42.99146217894271^%^2C^%^22east^%^22^%^3A-70.80209903627659^%^2C^%^22south^%^22^%^3A39.549453943310084^%^2C^%^22west^%^22^%^3A-77.00937442690159^%^7D^%^2C^%^22mapZoom^%^22^%^3A8^%^2C^%^22regionSelection^%^22^%^3A^%^5B^%^7B^%^22regionId^%^22^%^3A3148^%^2C^%^22regionType^%^22^%^3A4^%^7D^%^2C^%^7B^%^22regionId^%^22^%^3A2694^%^2C^%^22regionType^%^22^%^3A4^%^7D^%^5D^%^2C^%^22isMapVisible^%^22^%^3Atrue^%^2C^%^22filterState^%^22^%^3A^%^7B^%^22price^%^22^%^3A^%^7B^%^22max^%^22^%^3A250000^%^7D^%^2C^%^22isAllHomes^%^22^%^3A^%^7B^%^22value^%^22^%^3Atrue^%^7D^%^2C^%^22sortSelection^%^22^%^3A^%^7B^%^22value^%^22^%^3A^%^22days^%^22^%^7D^%^2C^%^22isLotLand^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isMiddleSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isHighSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22includeUnratedSchools^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isComingSoon^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isPublicSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isPrivateSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isElementarySchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^2C^%^22isCharterSchool^%^22^%^3A^%^7B^%^22value^%^22^%^3Afalse^%^7D^%^7D^%^2C^%^22isListVisible^%^22^%^3Atrue^%^7D&wants=^\{^%^22cat1^%^22:^\[^%^22mapResults^%^22^\]^\}&requestId=3",
# "authority: www.zillow.com",
# "accept: */*",
# "accept-language: en-US,en;q=0.9",
# "cache-control: no-cache",
# "cookie: JSESSIONID=97FD1EB701E102B7353E8EA4528843CE; zguid=24^|^%^24825bd6e9-4f90-46df-a475-4a9910b5847c; zgsession=1^|a6a5b7ca-c651-45a2-93c8-c5b66fea68d3; AWSALB=oQ3DGTMPgyQOTPA6zLmQ0liqJ1oax2QoQ5rUSCsORkWP52C7k6G8H1gZnlxOtgU/zzO503UHUnQ7tUeivhOnupv7aYI6+E5LxUZl4TeE0JyhvT3pZ6LYeC9iFbTw; AWSALBCORS=oQ3DGTMPgyQOTPA6zLmQ0liqJ1oax2QoQ5rUSCsORkWP52C7k6G8H1gZnlxOtgU/zzO503UHUnQ7tUeivhOnupv7aYI6+E5LxUZl4TeE0JyhvT3pZ6LYeC9iFbTw; search=6^|1689549806090^%^7Crect^%^3D42.92311815473404^%^252C-70.80209903627659^%^252C39.62142250427077^%^252C-77.00937442690159^%^26rid^%^3D2694^%^26disp^%^3Dmap^%^26mdm^%^3Dauto^%^26p^%^3D1^%^26sort^%^3Ddays^%^26z^%^3D1^%^26listPriceActive^%^3D1^%^26type^%^3Dhouse^%^252Ccondo^%^252Capartment_duplex^%^252Cmobile^%^252Ctownhouse^%^26lt^%^3Dfsba^%^252Cfsbo^%^252Cfore^%^252Cnew^%^252Cauction^%^26price^%^3D0-250000^%^26fs^%^3D1^%^26fr^%^3D0^%^26mmm^%^3D0^%^26rs^%^3D0^%^26ah^%^3D0^%^26singlestory^%^3D0^%^26housing-connector^%^3D0^%^26abo^%^3D0^%^26garage^%^3D0^%^26pool^%^3D0^%^26ac^%^3D0^%^26waterfront^%^3D0^%^26finished^%^3D0^%^26unfinished^%^3D0^%^26cityview^%^3D0^%^26mountainview^%^3D0^%^26parkview^%^3D0^%^26waterview^%^3D0^%^26hoadata^%^3D1^%^26zillow-owned^%^3D0^%^263dhome^%^3D0^%^26featuredMultiFamilyBuilding^%^3D0^%^26commuteMode^%^3Ddriving^%^26commuteTimeOfDay^%^3Dnow^%^09^%^092694^%^09^%^09^%^09^%^09^%^09^%^09",
# "pragma: no-cache",
# "sec-ch-ua: ^\^"Not.A/Brand^\^";v=^\^"8^\^", ^\^"Chromium^\^";v=^\^"114^\^", ^\^"Google Chrome^\^";v=^\^"114^\^"",
# "sec-ch-ua-mobile: ?0",
# "sec-ch-ua-platform: ^\^"Windows^\^"",
# "sec-fetch-dest: empty",
# "sec-fetch-mode: cors",
# "sec-fetch-site: same-origin",
# "user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
# "x-kl-ajax-request: Ajax_Request",
# --compressed

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pandas
requests
fake-useragent
beautifulsoup4