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Redfin Scraper (Homes for Sale, Prices, Details)

Scrape Redfin homes for sale from any search URL or ZIP code, filters included: price, beds, baths, sq ft, price per sq ft, lot, year built, HOA, days on market, address, coordinates, broker and remarks.

Run Redfin Scraper (Homes for Sale, Prices, Details) on Apify →

Pricing

Apify planPer homePer 1,000
Free plan$0.001$1
Starter$0.0008$0.80
Scale$0.0007$0.70
Business$0.0006$0.60
Enterprise$0.0006$0.60
Enterprise+$0.0006$0.60

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Sample output

No recorded sample is available yet.

Call from code

Use the existing catalog input below as a starting point. Review the tool's input form on Apify before running it.

import json
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/redfin-scraper").call(run_input=json.loads("{\n    \"searchUrls\": [\n        \"https://www.redfin.com/city/30818/TX/Austin\",\n        \"78701\"\n    ]\n}"))

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/redfin-scraper').call({
    "searchUrls": [
        "https://www.redfin.com/city/30818/TX/Austin",
        "78701"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
curl -X POST "https://api.apify.com/v2/acts/webdatatools~redfin-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchUrls":["https://www.redfin.com/city/30818/TX/Austin","78701"]}'

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