Redfin Property Listings Scraper

What this Actor scrapes

tri_angle/redfin-search is the Apify Store's volume leader for Redfin (36,722 runs / 633 users) but sits at 3.59★ on 7 reviews — a durable execution gap, not a fluke. The rest of the field is thinner still: rigelbytes/redfin-scraper (1,008 runs / 122 users, 0★) and lulzasaur/redfin-scraper (898 runs / 47 users, 0★) round out a weak set of alternatives with no meaningful traction to validate reliability at scale. We built this Actor to close the gap on the two failure modes that show up over and over in that 3.59★: (1) reliable pagination past Redfin's hard 350-result-per-call cap, via a price-bucket bisection technique with per-bucket fault isolation, so a dense metro doesn't truncate silently at 350; and (2) full confirmed-field coverage per listing — MLS id, days-on-market, exact geo, HOA presence, remarks/tags, open-house info, photos — not just price/beds/baths. Redfin search pages carry real anti-bot posture; we run every request through Redfin's own stingray/api/gis search endpoint the way a real browser session would, so you get the data without wiring up the retry and rotation logic yourself.

What we handle for you

• 🛡️ We rotate browser fingerprints — curl-cffi impersonates real Chrome / Firefox / Safari TLS handshakes so Redfin's search endpoint sees a browser, not Python.
• 🌐 We rotate proxy sessions through Apify Proxy on every block or geo-mismatch — fresh session ID, fresh exit IP.
• 🔁 We retry with exponential backoff on 408 / 429 / 5xx and network errors — up to 5 attempts per request, Retry-After honoured.
• 🧱 We back off when Redfin rate-limits or geo-splashes us — a mismatched city/state response gets a session rotation and one retry before we skip it and move on, never silently returning wrong-city data.
• 🧊 We keep the dataset clean — Pydantic-validated rows, deduped by property_id across price buckets, ISO-8601 timestamps, JSON / CSV / Excel export straight from the Apify Console.
• 💰 You pay only for results that land — Pay-Per-Event pricing, no data no charge (only the small actor-start warm-up fee).

Use cases

• Investment deal screening — pull normalized for-sale listings across any Redfin metro, with days-on-market and price-per-sqft ready for comparables analysis.
• Sold-comp research — reconstruct recent sold prices for a neighborhood without the 350-listing cap silently truncating dense ZIP codes.
• iBuyer / PropTech analytics — feed a normalized MLS-status/geo/HOA schema straight into an acquisition or valuation pipeline.
• Agent lead-gen — track pending listings and open-house schedules across target markets.

Input

Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.

{
  "searchUrls": [
    "https://www.redfin.com/city/17420/CA/San-Francisco"
  ],
  "status": "for-sale",
  "maxResultsPerSearch": 8,
  "priceBucketMinWidthUsd": 25000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "countryCode": "US"
  }
}

Output

One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.

property_idmls_idmls_statusprice_usdprice_per_sqft_usdsqftbedsbathsdays_on_marketneighborhoodstreet_addresscitystatezip_codelatitudelongitude

{
  "property_id": "12345678",
  "listing_id": "98765432",
  "mls_id": "SF123456",
  "mls_status": "Active",
  "search_status": "Active",
  "listing_type": "for-sale",
  "property_type": "Single Family Residential",
  "ui_property_type": "House",
  "price_usd": 1250000.0,
  "price_per_sqft_usd": 850.5,
  "sqft": 1470.0,
  "lot_size_sqft": 3200.0,
  "beds": 3.0,
  "baths": 2.0,
  "hoa_fee_usd": null,
  "hoa_frequency_known": false,
  "year_built": 1948,
  "days_on_market": 12,
  "time_on_redfin_ms": 1036800000,
  "neighborhood": "Noe Valley",
  "street_address": "123 Example St",
  "unit_number": null,
  "city": "San Francisco",
  "state": "CA",
  "zip_code": "94114",
  "latitude": 37.7502,
  "longitude": -122.4337,
  "num_photos": 32,
  "photo_urls": [
    "https://ssl.cdn-redfin.com/photo/1/bigphoto/example.jpg"
  ],
  "listing_url": "https://www.redfin.com/CA/San-Francisco/123-Example-St-94114/home/12345678",
  "status_ribbons": [
    "COMING SOON"
  ],
  "key_facts": [
    "Central Air"
  ],
  "listing_tags": [],
  "listing_remarks": "Charming Noe Valley home...",
  "is_redfin_listing": false,
  "is_new_construction": false,
  "sold_date": null,
  "open_house_start": null,
  "open_house_end": null,
  "source_search_url": "https://www.redfin.com/city/17420/CA/San-Francisco",
  "scraped_at": "2026-08-12T12:00:00+00:00"
}

Pricing

You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.