# 🏠 Redfin Property Search Scraper \[From πŸ’°$0.60/1K] (`misterkhan/redfin-scraper`) Actor Extract residential real estate listings for sale and recently sold from Redfin.com β€” prices, beds, baths, square footage, price per sqft, HOA fees, days on market, coordinates, and MLS IDs. - **URL**: https://apify.com/misterkhan/redfin-scraper.md - **Developed by:** [Khan](https://apify.com/misterkhan) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### What does Redfin Property Search Scraper do? Redfin Property Search Scraper is a US residential real estate extraction tool that scrapes **homes for sale and recently sold MLS listings** directly from **Redfin.com**β€”capturing asking and sold prices, calculated price per square foot (`price_per_sqft`), monthly HOA dues (`hoa_fee`), days on market (`days_on_market`), bedrooms, bathrooms, interior square footage, year built, exact GPS coordinates, and official MLS IDs. Whether you are underwriting fix-and-flip or buy-and-hold residential deals, analyzing HOA fee burdens across condo markets, or building automated comparative market analysis (CMA) feeds, this scraper delivers clean, structured property records in seconds. > πŸ›‘οΈ **Zero Proxy Configuration Required:** Anti-blocking and regional routing are **handled automatically out of the box** β€” just paste your target URLs and click **Start**. ### What data can you extract with Redfin Property Search Scraper? **πŸ’΅ Price & Price per Sq. Ft.** β€” formatted `price`, numeric `price_raw`, and calculated `price_per_sqft`
**🏠 Interior & Building Specs** β€” `beds` count, `baths` count, interior living area (`sqft`), and `year_built`
**πŸ“Š HOA Dues, DOM & MLS Provenance** β€” monthly `hoa_fee`, `days_on_market`, official local `mls_id`, and internal Redfin property `id`
**πŸ“ Street Address & Geocoordinates** β€” full `address`, `city`, `state`, `zip`, latitude, and longitude
**πŸ”— Direct Property Permalink** β€” canonical Redfin property detail page `url`
### Why scrape residential real estate listings from Redfin? **πŸ’ͺ Direct MLS-brokerage data accuracy** β€” because Redfin operates as a licensed MLS brokerage across the United States, its search cards expose official `mls_id` codes, `hoa_fee` figures, and exact `days_on_market`
**πŸ•΅οΈ Underwrite condo and townhome cash flow accurately** β€” factor monthly `hoa_fee` and `price_per_sqft` into your investment models before making offers
**✨ Spot motivated sellers with high Days on Market** β€” filter for stale listings (days_on_market > 60) across target ZIP codes to identify price-drop and negotiation opportunities
**πŸ‘ Zero proxy or account setup** β€” built-in anti-blocking and residential proxy routing work out of the box
**πŸ“© Automate daily deal-flow pipelines** β€” connect recurring runs to Google Sheets, Airtable, BigQuery, Make, or n8n
### How do I use Redfin Property Search Scraper? Redfin Property Search Scraper is built for fast, zero-configuration operation in Apify Console: 1. Click **Try for free** on the Actor page to open Apify Console. 2. Paste one or more Redfin city, ZIP code, neighborhood, or filtered search URLs into **Start URLs** (for example, `https://www.redfin.com/city/17151/CA/San-Francisco`). 3. Set **Max Results** (`maxItems`) to control how many property listings to collect. 4. Click **Start** to launch the extraction run. 5. Download your Redfin property dataset from the **Dataset** tab in Excel, CSV, JSON, or HTML table format. ### Input Redfin Property Search Scraper accepts a clean 2-parameter JSON configuration. Click on the [Input tab](https://apify.com/misterkhan/redfin-scraper/input-schema) for the interactive form. ```json { "startUrls": [ { "url": "https://www.redfin.com/city/17151/CA/San-Francisco" } ], "maxItems": 40 } ``` **🏠 `startUrls`** β€” array of Redfin city, ZIP code, county, neighborhood, or filtered search URLs (e.g., `https://www.redfin.com/city/17151/CA/San-Francisco`)
**πŸ”’ `maxItems`** β€” maximum number of property listings to collect per run (default: 40; Free plan runs collect up to 40 listings per run, while paid Apify plans support unlimited bulk runs)
### Output sample Results are streamed in real time to your default Apify Dataset. Each record contains the property's price, $/sqft, HOA fee, days on market, MLS ID, and exact GPS coordinates: ```json [ { "id": "rf_49281740", "mls_id": "ML81948201", "address": "1428 Pacific Ave, San Francisco, CA 94109", "city": "San Francisco", "state": "CA", "zip": "94109", "price": "$1,395,000", "price_raw": 1395000, "beds": 3, "baths": 2.0, "sqft": 1680, "price_per_sqft": 830, "hoa_fee": 650, "days_on_market": 14, "year_built": 1924, "latitude": 37.7952, "longitude": -122.4194, "url": "https://www.redfin.com/CA/San-Francisco/1428-Pacific-Ave-94109/home/49281740" } ] ``` ### How much does it cost to scrape Redfin property listings? Redfin Property Search Scraper uses **Pay-Per-Event (PPE)** pricing (apify-default-dataset-item) with a `$0.00` startup feeβ€”you only pay for property listings delivered to your dataset: **πŸ†“ Free plan** β€” `$0.005` per listing ($5.00 / 1,000 listings, up to 40 listings/run)
**πŸ₯‰ Starter (Bronze) plan** β€” `$0.0012` per listing ($1.20 / 1,000 listings)
**πŸ₯ˆ Scale (Silver) plan** β€” `$0.00085` per listing ($0.85 / 1,000 listings)
**πŸ₯‡ Business+ (Gold) plan** β€” `$0.0006` per listing ($0.60 / 1,000 listings)
With the monthly free credit on the Apify Free plan, you can extract **up to 1,000 Redfin property listings per month for free**. > πŸ’‘ **Predictable, All-Inclusive Pay-Per-Event Pricing:** There is a **`$0.00` run start fee** and **no separate proxy configuration required**. You only pay the flat per-result rate above for data successfully delivered to your dataset β€” works out of the box on both **Free** and **Paid** Apify plans. ### How many results can you scrape with Redfin Property Search Scraper? Redfin Property Search Scraper can extract **thousands of property listings per run** on paid Apify plans (up to 40 listings per run on the Free plan). Keep these best practices in mind when scraping high-density markets: - **Split large metro searches by ZIP code or neighborhood** β€” Redfin caps any single search query view at approximately 350 properties per search URL. To capture 100% of listings across a major city (such as Los Angeles, Chicago, or Seattle), pass multiple ZIP-code (/zipcode/94109) or neighborhood URLs in `startUrls`. - **Use Redfin URL filters (/filter/...)** β€” apply any price, bedroom, property type, or recently sold (/filter/include=sold-3mo) filter on Redfin.com in your browser and paste the resulting URL directly into `startUrls`. - **Cross-check with Zillow Zestimates** β€” combine Redfin's MLS IDs and HOA data with our [Zillow Property Search Scraper](https://apify.com/misterkhan/zillow-scraper) to compare asking prices against Zestimate and Rent Zestimate models. ### Want to scrape Zillow, ForSaleByOwner.com, or Local Real Estate Brokerages? Combine Redfin Property Search Scraper with our published US real estate and lead enrichment Actors: 🏑 **[Zillow Search Scraper](https://apify.com/misterkhan/zillow-scraper)** β€” extract US homes for sale, rentals, sold prices, Zestimates, beds/baths, and coordinates (From $0.90 / 1K)
πŸ‡ΊπŸ‡Έ **[ForSaleByOwner.com US FSBO Scraper](https://apify.com/misterkhan/forsalebyowner-us-scraper)** β€” scrape direct commission-free US homeowner property listings and seller details (From $0.75 / 1K)
πŸ“ **[Google Maps Places Scraper](https://apify.com/misterkhan/google-maps-scraper)** β€” extract local brokerages, property managers, commercial businesses, phones, websites, and ratings (From $0.55 / 1K)
πŸ“§ **[Website Contact & Email Scraper](https://apify.com/misterkhan/contact-enricher-scraper)** β€” crawl brokerage and company domains for verified business emails, phone numbers, and social links (From $0.60 / 1K)
### Integrations and Redfin Property Search Scraper Redfin Property Search Scraper integrates seamlessly with your real estate underwriting spreadsheets, CRMs, and BI tools through [Apify integrations](https://apify.com/integrations): - **No-Code Automation** β€” trigger instant Slack or email deal alerts via Make, Zapier, n8n, or Clay. - **Spreadsheets & Warehouses** β€” sync MLS property records directly into Google Sheets, Airtable, BigQuery, Snowflake, or PostgreSQL. - **Webhooks** β€” push newly discovered listings to your acquisition pipeline via HTTP webhook the instant a run completes. ### Using Redfin Property Search Scraper with the Apify API You can launch property search runs and fetch dataset items programmatically using the official `apify-client` libraries for **Node.js** and **Python**, or connect this Actor directly to AI real estate investment agents via the **Apify MCP Server** (`https://mcp.apify.com`). Check the [API tab](https://apify.com/misterkhan/redfin-scraper/api) for ready-to-copy Node.js, Python, and cURL examples. ### Frequently asked questions about Redfin Property Search Scraper **πŸ“Š Does the scraper extract recently sold comps as well as active listings?
** Yes. Toggle the "Sold" filter on Redfin.com (e.g., /filter/include=sold-3mo or /filter/include=sold-1yr) and paste that URL into `startUrls` to extract historical sold prices and $/sqft comps. **🏒 Are monthly HOA fees (`hoa_fee`) included in the output?
** Yes. Whenever a condo, townhome, or planned development lists an HOA fee on Redfin, the monthly amount is normalized in the `hoa_fee` field. **πŸ›‘οΈ Do I need to configure proxies or a Redfin login?
** **No β€” everything works out of the box with zero setup.** Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings. ### Is it legal to scrape public property listings from Redfin? Our scrapers are ethical and only extract publicly available real estate listing facts (asking prices, property dimensions, HOA dues, and public MLS identifiers) displayed to visitors on Redfin.com. They do not access private user accounts or personal data. For more details on the legality of web scraping, read Apify's guide on [is web scraping legal](https://blog.apify.com/is-web-scraping-legal/). ### Your feedback We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors β€” please **open an Issue before posting a public review** so we can diagnose and fix it for you. **πŸ› οΈ How to report** β€” Use the Actor’s [Issues tab](https://apify.com/misterkhan/redfin-scraper/issues/open) in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
**⏱️ Response time** β€” We aim to reply within 24 hours on business days.
**⭐ Reviews** β€” Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first β€” we’ll work with you to resolve it before you leave a rating.
# Actor input Schema ## `startUrls` (type: `array`): Paste one or more Redfin.com URLs to collect property listings from (e.g., `https://www.redfin.com/city/17151/CA/San-Francisco`). ## `maxItems` (type: `integer`): Maximum number of property listings to collect (Free plan runs collect up to 40 results per run; paid plans support unlimited results). ## Actor input object example ```json { "startUrls": [ { "url": "https://www.redfin.com/city/17151/CA/San-Francisco" } ], "maxItems": 40 } ``` # Actor output Schema ## `results` (type: `string`): All extracted property listings. ## `usage_summary` (type: `string`): Execution telemetry and extraction summary stored in the default key-value store. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.redfin.com/city/17151/CA/San-Francisco" } ], "maxItems": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("misterkhan/redfin-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.redfin.com/city/17151/CA/San-Francisco" }], "maxItems": 40, } # Run the Actor and wait for it to finish run = client.actor("misterkhan/redfin-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.redfin.com/city/17151/CA/San-Francisco" } ], "maxItems": 40 }' | apify call misterkhan/redfin-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,misterkhan/redfin-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/ruVkgjO8mzQjvlF4i/builds/YZslY6X2j9ya7jFrd/openapi.json