Analyze SF property prices on Zillow

pip install exfunc openai

import getpass
import os

if "OPENAI_API_KEY" not in os.environ:
    os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API key:\n")
if "EXFUNC_API_KEY" not in os.environ:
    os.environ["EXFUNC_API_KEY"] = getpass.getpass("Exfunc API key:\n")

from exfunc import Exfunc
from openai import OpenAI

exfunc = Exfunc()
openai = OpenAI()

search_properties_response = exfunc.zillow.search_properties(request={
    "location": "san francisco",
    "listing_status": "for_sale",
    "page": 1,
})
property_ids = [p.property_id for p in search_properties_response.properties[:30]]

from concurrent.futures import ThreadPoolExecutor

def get_property(property_id):
    try:
        response = exfunc.zillow.get_property(request={"property_id": str(property_id)})
        return response.property
    except Exception as e:
        return None

properties = []
with ThreadPoolExecutor(max_workers=min(10, len(property_ids))) as executor:
    for p in executor.map(get_property, property_ids):
        if p:
            properties.append(p)

import json

properties_str = "\n\n".join([json.dumps({k: v for k, v in p.model_dump().items() if k != "photos"}) for p in properties])

prompt = f"Analyze property prices based on the following documents.\n\nDocuments:\n{properties_str}"

response = openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": prompt}],
    temperature=0
)

completion = response.choices[0].message.content.strip()
print(completion)