Zillow Data Scraping API - Extract Zillow Real-Estate Data

API Response Format

All responses are returned in JSON format for easy integration into your application.

from flask import Flask, jsonify, request

app = Flask(__name__)

# Sample Zillow-style property data
properties = [
    {
        "id": "Z1001",
        "address": "123 Main St, New York, NY",
        "price": 850000,
        "zestimate": 870000,
        "beds": 3,
        "baths": 2,
        "property_type": "Single Family"
    },
    {
        "id": "Z1002",
        "address": "456 Park Ave, San Jose, CA",
        "price": 1200000,
        "zestimate": 1185000,
        "beds": 4,
        "baths": 3,
        "property_type": "Condo"
    }
]

# Sample price history data
price_history = {
    "Z1001": [
        {"date": "2023-01-01", "price": 800000},
        {"date": "2023-08-01", "price": 850000}
    ]
}

# Sample neighborhood data
neighborhoods = [
    {"name": "Downtown", "avg_price": 900000, "rent_trend": "Increasing"},
    {"name": "Uptown", "avg_price": 750000, "rent_trend": "Stable"}
]

@app.route('/properties', methods=['GET'])
def get_properties():
    keyword = request.args.get('keyword', '')
    sort = request.args.get('sort', 'price')
    page = int(request.args.get('page', 1))

    filtered = [p for p in properties if keyword.lower() in p['address'].lower()]
    sorted_props = sorted(filtered, key=lambda x: x.get(sort, x['price']))

    return jsonify(sorted_props)

@app.route('/property/', methods=['GET'])
def get_property(property_id):
    prop = next((p for p in properties if p['id'] == property_id), None)
    if prop:
        return jsonify(prop)
    return jsonify({"error": "Property not found"}), 404

@app.route('/rentals', methods=['GET'])
def get_rentals():
    location = request.args.get('location', '')
    rentals = [
        {"id": "R2001", "address": "789 Elm St, Austin, TX", "rent": 2200, "beds": 2}
    ]
    return jsonify(rentals)

@app.route('/price-history', methods=['GET'])
def get_price_history():
    property_id = request.args.get('property_id')
    history = price_history.get(property_id, [])
    return jsonify(history)

@app.route('/neighborhoods', methods=['GET'])
def get_neighborhoods():
    location = request.args.get('location')
    return jsonify(neighborhoods)

@app.route('/market-trends', methods=['GET'])
def market_trends():
    region = request.args.get('region')
    trends = {
        "region": region,
        "median_price": 820000,
        "yearly_growth": "6.2%",
        "inventory": "Low"
    }
    return jsonify(trends)

@app.route('/search', methods=['GET'])
def search_properties():
    query = request.args.get('query', '')
    results = [p for p in properties if query.lower() in p['address'].lower()]
    return jsonify(results)

@app.route('/comparables', methods=['GET'])
def comparables():
    property_id = request.args.get('property_id')
    comps = [
        {"id": "Z1003", "price": 830000, "beds": 3},
        {"id": "Z1004", "price": 860000, "beds": 3}
    ]
    return jsonify(comps)

if __name__ == '__main__':
    app.run(debug=True)