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better_version.py
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better_version.py
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from bs4 import BeautifulSoup
from datetime import datetime
from geopy.geocoders import ArcGIS
import folium
from folium.plugins import MarkerCluster
import pandas as pd
from queue import Queue
import threading
import time
from get_kijiji_content import simple_get
def get_content(num):
part_1 = "https://www.kijiji.ca/b-for-rent/st-johns/"
part_2 = "c30349001l1700113?ad=offering"
if num == 1:
url = part_1 + part_2
else:
url = part_1 + "page-" + str(num) + "/" + part_2
webpage_content = simple_get(url)
if webpage_content:
soup = BeautifulSoup(webpage_content, "html.parser")
rent_houses = soup.find_all("div", {"class": "search-item"})
return rent_houses
else:
return []
def get_info(html_):
info_list = []
attributes = html_.find_all(
"h3", {"class": "attributeCardTitle-4135421267"}
)
for attri in attributes:
label_1 = attri.next_sibling.find_all(
"h4", {"class": "realEstateLabel-3766429502"}
)
value_1 = [label.next_sibling.string for label in label_1]
info_list = info_list + [
label.string+": "+value for label, value in zip(label_1, value_1)
]
label_2 = attri.next_sibling.find_all(
"h4", {"class": "attributeGroupTitle-2142319834"}
)
value_2 = attri.next_sibling.find_all(
"ul", {"class": "list-1757374920 disablePadding-1318173106"}
)
value_ = []
for ul in value_2:
values = [item.get("aria-label") for item in ul.find_all("svg")]
values = [item.split(": ")[1] for item in values if "Yes" in item]
if values:
pass
else:
values.append("N/A")
value_.append(", ".join(values))
info_list = info_list + [
label.string+": "+value for label, value in zip(label_2, value_)
]
return info_list
def clean_df(df):
cleaned_df = df.drop_duplicates("address")
return cleaned_df
class WebScraper(threading.Thread):
def __init__(self, num):
super().__init__()
self.content = get_content(num)
self.num = num
self.size = 0
def run(self):
for ad in self.content:
item_url = "https://www.kijiji.ca" + ad.a.get("href")
# print(item_url)
item_content = simple_get(item_url)
if not item_content:
continue
item_soup = BeautifulSoup(item_content, "html.parser")
try:
item_address = item_soup.find(
"span", {"class", "address-3617944557"}
).string.replace("\n", "")
except Exception as e:
print(f"Address is not found: {item_url}")
continue
try:
latitude = float(item_soup.find(
"meta", {"property": "og:latitude"}
).get("content"))
longitude = float(item_soup.find(
"meta", {"property": "og:longitude"}
).get("content"))
except Exception as e:
latitude = None
longitude = None
try:
item_price = item_soup.find(
"span", {"class": "currentPrice-2842943473"}
).string.replace("\n", "")
except Exception as e:
item_price = "Not available"
print(f"Price is not found: {item_url}")
try:
item_title = item_soup.find(
"h1", {"class", "title-2323565163"}
).text.replace("\n", "")
except Exception as e:
item_title = "No title"
print(f"Title is not found: {item_url}")
try:
labels = item_soup.find_all(
"dt", {"class": "attributeLabel-240934283"}
)
values = item_soup.find_all(
"dd", {"class": "attributeValue-2574930263"}
)
info_list = [label.string + ": " + value.string for
label, value in zip(labels, values)]
item_info = " *** ".join(info_list)
if item_info:
pass
else:
item_info = " *** ".join(get_info(item_soup))
except Exception as e:
item_info = "Not available"
print(f"Info is not found: {item_url}")
try:
des_list = [string for string in item_soup.find(
"h3", {"class": "title-1536205785"}
).next_sibling.strings]
des_list = [string.replace("\n", " ") for string in des_list]
description = "".join(des_list)
except Exception as e:
description = "Not available"
print(f"Description is not found: {item_url}")
data = [item_title, item_url, item_address, latitude, longitude,
item_price, item_info, description]
data_queue.put(data)
self.size += 1
#print(data_queue.qsize())
print(f"Thread #{self.num} scrapes {self.size} ads")
if __name__ == "__main__":
data_queue = Queue(maxsize=0)
kijiji_dict = {
"title": [],
"url": [],
"address": [],
"latitude": [],
"longitude": [],
"price": [],
"info": [],
"description": []
}
thread_list = []
begin_time = datetime.now()
for num in range(1, 16):
print(f"Working thread {num} is about to start...")
thread_list.append(WebScraper(num))
time.sleep(3)
time.sleep(3)
for index, every_thread in enumerate(thread_list):
print(f"Thread #{index+1} is about to scrape...")
every_thread.start()
time.sleep(3)
time.sleep(3)
for index, every_thread in enumerate(thread_list):
print(f"Thread #{index+1} is about to join...")
every_thread.join()
scrape_time = datetime.now() - begin_time
print(f"Total scrape time: {scrape_time}")
begin_time = datetime.now()
print(f"Totally scrape {data_queue.qsize()} ads")
while not data_queue.empty():
data = data_queue.get()
for index, key in enumerate(kijiji_dict):
kijiji_dict[key].append(data[index])
print("Begin to check and geocode address...")
while None in kijiji_dict["latitude"]:
for index, value in enumerate(kijiji_dict["address"]):
if kijiji_dict["latitude"][index] is None:
try:
geo_location = ArcGIS().geocode(value)
kijiji_dict["latitude"][index] = geo_location.latitude
kijiji_dict["longitude"][index] = geo_location.longitude
except Exception as e:
pass
geocode_time = datetime.now() - begin_time
print(f"Total geocode time: {geocode_time}")
print("Web scraping has been completed. Rental map will be generated.")
df = pd.DataFrame(kijiji_dict)
df = clean_df(df)
houseLocation = [
(latitude, longitude) for latitude, longitude in zip(
list(df.latitude), list(df.longitude)
)
]
priceList = list(df.price)
hrefList = list(df.url)
houseInfo = list(df["info"])
titleList = list(df.title)
houseDescription = list(df.description)
html = """
%s<br>
######################<br>
Price: %s<br>
######################<br>
Information:<br>
%s<br>
######################<br>
Description:<br>
%s<br>
######################<br>
<a href="%s" target="_blank">Link to Kijiji</a>
"""
def color_selector(price):
try:
price = float(price.replace("$", "").replace(",", ""))
if price < 600:
return "green"
elif 600 <= price < 1000:
return "orange"
else:
return "red"
except Exception as e:
return "blue"
map = folium.Map(location=[47.5669, -52.7067], zoom_start=13)
marker_cluster = MarkerCluster().add_to(map)
update_time = datetime.now().strftime("%m/%d/%Y")
fg1 = folium.FeatureGroup(
name=f"Rental places from kijiji updated on {update_time}.")
for i in range(len(houseLocation)):
iframe = folium.IFrame(html=html % (
titleList[i], priceList[i], houseInfo[i], houseDescription[i],
hrefList[i]), width=300, height=400)
folium.Marker(location=houseLocation[i], popup=folium.Popup(iframe),
icon=folium.Icon(color_selector(priceList[i]))).add_to(
marker_cluster)
map.add_child(fg1)
map.add_child(folium.LayerControl())
map.save("index.html")
print("Map has been generated!")