2.7 KiB

Raw Blame History

Real Estate APIs — Zillow, Redfin

Endpoint	Returns
`/scrape/zillow/listing`	Search results by area + filters
`/scrape/zillow/property`	Single home (history, agent, schools, taxes)
`/scrape/redfin/listing`	Redfin search results
`/scrape/redfin/property`	Single Redfin home

All synchronous GET. 5 credits each.

For short-term rentals (Airbnb), hotels (Booking), and flights, see travel.md.

Zillow Listing

Filter params use bracketed keys (price[min], beds[max]).

import requests

def zillow_search(keyword, listing_type="forSale", **filters):
    r = requests.get(
        "https://api.hasdata.com/scrape/zillow/listing",
        headers={"x-api-key": API_KEY},
        params={"keyword": keyword, "type": listing_type, **filters},
        timeout=300,
    )
    return r.json()

zillow_search("Brooklyn, NY", price={"min": 800000, "max": 2000000})
zillow_search("33321", "sold", daysOnZillow="6m")  # recent comps

requests + axios serialize nested dicts as price[min]=…&price[max]=… automatically. With raw URLSearchParams, build the bracketed keys yourself.

Param	Notes
`keyword`	Required. Area string ("New York, NY", zip, neighborhood).
`type`	Required. `forSale`, `forRent`, `sold`.
`price[min/max]`, `beds[min/max]`, `baths[min/max]`, `sqft[min/max]`	Range filters.
`daysOnZillow`	`24h`, `7d`, `14d`, `30d`, `90d`, `6m`, `12m`.
`page`	Pagination.

Response: requestMetadata, searchInformation, properties (the listings array — not listings), pagination.

Zillow Property

requests.get(
    "https://api.hasdata.com/scrape/zillow/property",
    headers={"x-api-key": API_KEY},
    params={"url": url, "extractAgentEmails": "true"},
    timeout=300,
)

Takes a full Zillow URL (not zpid). Returns address, lot/sqft/beds/baths, price + tax history, schools, agent block, photos. Agent emails are best-effort.

Redfin

# Listing
params = {"keyword": "33321", "type": "forSale", "page": 1}
# Property
params = {"url": "https://www.redfin.com/FL/Tamarac/9...html"}

Same bracketed price[min], beds[min], etc. as Zillow. Zip codes work best for keyword.

Patterns

Sold comps for ROI

sold = zillow_search(zip_code, "sold", daysOnZillow="6m").get("properties", [])
ppsf = [(l["price"] / l["livingArea"]) for l in sold if l.get("livingArea")]

Gotchas

Bracketed query keys — work with requests/axios, not raw URLSearchParams.
type=sold + daysOnZillow = comps recipe. Without daysOnZillow, history is unbounded.
Property endpoints take URLs, not IDs.
Agent emails are best-effort.

2.7 KiB Raw Blame History