Scrape Real Estate Listings via API

Property data is everywhere on the web. Getting it programmatically is another story. denkbot.dog fetches real estate listing pages — JS-rendered or server-side — and hands you the HTML to extract what you need. The dog retrieves the listings. You build the property intelligence tool.

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What you'd use this for

Real estate market analysis, property data aggregation, investment tools, rental price trackers, and any application that needs structured property data.

How it works

example

import requests
from bs4 import BeautifulSoup

def scrape_listing(url):
    r = requests.post(
        'https://api.denkbot.dog/scrape',
        headers={'Authorization': 'Bearer YOUR_API_KEY'},
        json={'url': url, 'renderJs': True, 'waitFor': '.listing-price'},
    )
    html = r.json()['html']
    soup = BeautifulSoup(html, 'html.parser')

    return {
        'price': soup.select_one('.price, [data-price]').get_text() if soup.select_one('.price, [data-price]') else None,
        'address': soup.select_one('address, .address').get_text() if soup.select_one('address, .address') else None,
        'description': soup.select_one('.description, [itemprop=description]').get_text() if soup.select_one('.description, [itemprop=description]') else None,
    }