Rental Trends Dashboard Tutorial – USA, UAE, India

Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )

Start Your Project

import undetected_chromedriver as uc from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys from time import sleep browser = uc.Chrome() browser.get("https://www.zillow.com/homes/for_rent/San-Francisco,-CA_rb/") sleep(5)

for card in cards: try: address = card.find_element(By.CLASS_NAME, "list-card-addr").text except: address = "" try: price = card.find_element(By.CLASS_NAME, "list-card-price").text except: price = "" try: beds = card.find_element(By.CLASS_NAME, "list-card-details").text except: beds = "" try: url = card.find_element(By.TAG_NAME, "a").get_attribute("href") except: url = "" usa_rentals.append({ "country": "USA", "platform": "Zillow", "address": address, "price_raw": price, "beds_raw": beds, "url": url })

for item in items: try: title = item.find_element(By.CLASS_NAME, "_7afabd84").text except: title = "" try: price = item.find_element(By.CLASS_NAME, "_105b8a67").text except: price = "" try: location = item.find_element(By.CLASS_NAME, "_162e6467").text except: location = "" try: url = item.find_element(By.TAG_NAME, "a").get_attribute("href") except: url = "" uae_rentals.append({ "country": "UAE", "platform": "Bayut", "location": location, "price_raw": price, "title": title, "url": url })

for c in cards: try: price = c.find_element(By.CLASS_NAME, "srpRentPrice").text except: price = "" try: details = c.find_element(By.CLASS_NAME, "srpDataWrap").text except: details = "" try: url = c.find_element(By.TAG_NAME, "a").get_attribute("href") except: url = "" india_rentals.append({ "country": "India", "platform": "99acres", "details": details, "price_raw": price, "url": url })

import re def clean_price(val): if not val: return None val = val.replace(",", "").replace("AED","").replace("₹","").replace("$","") nums = re.findall(r"\d+", val) return int(nums[0]) if nums else None df["price_num"] = df["price_raw"].apply(clean_price)

from currency_converter import CurrencyConverter c = CurrencyConverter() def convert_to_usd(row): if row["country"] == "USA": return row["price_num"] if row["country"] == "UAE": return c.convert(row["price_num"], "AED", "USD") if row["country"] == "India": return c.convert(row["price_num"], "INR", "USD") df["price_usd"] = df.apply(convert_to_usd, axis=1)

def extract_beds(val): match = re.search(r"(\d+)\s?(bd|bed|beds|bhk)", val.lower()) return int(match.group(1)) if match else None df["beds"] = df["beds_raw"].fillna("") + df["title"].fillna("") + df["details"].fillna("") df["beds"] = df["beds"].apply(extract_beds)

Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )

Start Your Project

Our Data Drives Impact - Real Client Stories