Real estate data API for property listings, market data and CRE research

curl https://api.clawengine.ai/v1/extract \
  -H "Authorization: Bearer $CLAWENGINE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://listings.example.com/homes/1421-oak-street",
    "format": "json",
    "render": true,
    "schema": {
      "street": "string",
      "city": "string",
      "state": "string",
      "zip": "string",
      "list_price": "number",
      "beds": "number",
      "baths": "number",
      "sqft": "number",
      "status": "string"
    }
  }'

import os, requests, datetime

BASE = "https://api.clawengine.ai/v1"
headers = {"Authorization": f"Bearer {os.environ['CLAWENGINE_API_KEY']}"}
schema = {
    "street": "string", "zip": "string", "list_price": "number",
    "beds": "number", "sqft": "number", "status": "string",
}

watchlist = [
    "https://listings.example.com/homes/1421-oak-street",
    "https://listings.example.com/homes/88-harbor-view",
]

for url in watchlist:
    rec = requests.post(f"{BASE}/extract", headers=headers,
                        json={"url": url, "format": "json",
                              "render": True, "schema": schema}).json()["data"]
    prior = last_price.get(url)          # your own store, keyed by canonical URL
    if prior and rec["list_price"] < prior:
        cut = round((prior - rec["list_price"]) / prior * 100, 1)
        print(f"{rec['street']}: price cut {cut}% to {rec['list_price']}")
    last_price[url] = rec["list_price"]

// CRE pages carry different fields, so the schema changes, not the call.
const res = await fetch("https://api.clawengine.ai/v1/extract", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.CLAWENGINE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    url: "https://cre.example.com/office/300-market-plaza",
    format: "json",
    render: true,
    schema: {
      address: "string",
      building_class: "string",
      rentable_sqft: "number",
      asking_rent_psf: "number",
      lease_type: "string",
      occupancy_pct: "number",
    },
  }),
});

const { data } = await res.json();
console.log(`${data.address}: ${data.rentable_sqft} sf at $${data.asking_rent_psf}/sf`);