# Realtor Scraper (Property Details) (`coder_luffy/realtor-scraper`) Actor This fast and affordable API/scraper provides real-time access to Realtor.com listings, including property details, pricing, location, and agent emails and phone numbers. Ideal for real estate analysis, lead generation, and data-driven projects. - **URL**: https://apify.com/coder_luffy/realtor-scraper.md - **Developed by:** [Luffy](https://apify.com/coder_luffy) (community) - **Categories:** Real estate, Lead generation, Travel - **Features:** Limited permissions - **Stats:** 216 total users, 21 monthly users, 100.0% runs succeeded, 17 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.99 / 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 ## Realtor.com Property Details **Scraper** by **Coder Luffy** ![logo of Realtor.com Scraper](https://i.imgur.com/jsRuh5F.png) **Actor URL**: [coder_luffy/realtor-scraper](https://apify.com/coder_luffy/realtor-scraper) **Your complete solution for accurate, detailed real estate data — without the complexity.**\ This API delivers everything you need from Realtor.com: listing prices, mortgage estimates, neighborhood trends, agent contacts, and more — just by using a **property ID or address**. *** ### Why Use This API? When you’re building real estate tools, sourcing leads, or analyzing market trends, **you need complete, structured, and up-to-date property data** — without overpaying or fighting through rate limits. Here’s what makes this API different: - Search By **Address or property_id** – Input either Realtor property IDs or full addresses (a rare feature). - **Affordability First** – Built for scale without high costs. Pay only for what you use. - **Rich & Clean Data** – Everything from listing info to mortgage breakdowns to agent emails. - **Built for Developers** – Simple JSON output. No guessing. No scraping. Just results. *** ### Input Search Query (Property IDs or Addresses: Provide a list of either Realtor.com Property IDs or addresses to extract detailed property listing information, including agent contact details.) ```json { "search_query": [ "3291777140", "3808 Warm Meadows St, Las Vegas", "13018 Lumberjack Rd NW Unit 1" ] } ``` ### What You Can Access | Category | What You Get | |---------------------|---------------| | 🏠 Property Basics | Status, Price, Description, Type, Year Built | | 📍 Address & Location | Full address, coordinates, neighborhood stats | | 💵 Financials | Mortgage estimates, HOA fees, loan breakdown | | 🧑‍ Agent Info | Names, emails, phone numbers, agency details | | 🖼 Photos | Tagged image links (living room, kitchen, etc.) | | 📈 Neighborhood Data | Median price, time on market, trends | | 🔄 Price History | Last price changes, list date, sold date | *** ### Ideal For - Real estate SaaS tools - Investment dashboards - Lead generation platforms - Automated CRM enrichment - Property analytics and comparisons - Market research & competitive tracking *** ### 🧾 Sample Output You get a structured JSON object like this: ```json [ { "search_query": "3291777140", "data": { "property_id": "3291777140", "last_update_date": "2025-03-06T20:02:12Z", "last_price_change_date": "2025-03-06T20:02:12.699Z", "last_price_change_amount": -11000, "listing_id": "2978501942", "status": "for_sale", "href": "https://www.realtor.com/realestateandhomes-detail/339-E-58th-St-Apt-9F_New-York_NY_10022_M32917-77140", "list_date": "2025-02-20T18:02:33Z", "mortgage": { "is_listing_price_eligible_for_fha": true, "is_dpa_eligible": true, "county_fha_loan_limit": 1209750, "property_tax_rate": null, "rates_url": "https://www.realtor.com/mortgage/rates/?from=mobile#zip=10022&property_price=339000&mlid=3291777140", "estimate": { "loan_amount": 271200, "monthly_payment": 3535, "total_payment": 634733, "down_payment": 67800, "average_rate": { "rate": 0.06773, "loan_type": { "term": 30 } }, "monthly_payment_details": [ { "type": "principal_and_interest", "amount": 1763, "display_name": "Principal & Interest" }, { "type": "home_insurance", "amount": 118, "display_name": "Home Insurance" }, { "type": "hoa_fees", "amount": 1654, "display_name": "Maintenance Fee" }, { "type": "mortgage_insurance", "amount": 0, "display_name": "Mortgage Insurance" } ] }, "average_rates": [ { "loan_type": { "loan_id": "thirty_year_fix" }, "rate": 0.06773 }, { "loan_type": { "loan_id": "twenty_year_fix" }, "rate": 0.06571 }, { "loan_type": { "loan_id": "fifteen_year_fix" }, "rate": 0.05843 }, { "loan_type": { "loan_id": "ten_year_fix" }, "rate": 0.05663 }, { "loan_type": { "loan_id": "thirty_year_fha" }, "rate": 0.06252 }, { "loan_type": { "loan_id": "thirty_year_va" }, "rate": 0.06369 }, { "loan_type": { "loan_id": "five_one_arm" }, "rate": 0.06726 }, { "loan_type": { "loan_id": "seven_one_arm" }, "rate": 0.06685 } ] }, "hoa": { "fee": 1654 }, "buyers": null, "description": { "baths_consolidated": "1", "baths": 1, "baths_min": null, "baths_max": null, "heating": null, "cooling": null, "beds": 0, "beds_min": null, "beds_max": null, "garage": null, "garage_min": null, "garage_max": null, "pool": null, "sqft": null, "sqft_min": null, "sqft_max": null, "styles": null, "lot_sqft": null, "units": null, "stories": null, "type": "coop", "text": "-Available Fully Furnished -Open Views North -Doorman Co-op w/ Storage -Unlimited Subletting After Two Years Ownership (with Board Approval) Enjoy stunning skyline views and the Roosevelt Island Tram gliding by from this high-floor, bright, and spacious studio. Featuring new appliances, a dramatic entry hallway, and classic pre-war details, this home is set in a full-service elevator building with a doorman. With rich wood floors, the studio offers an open, windowed kitchen with stainless steel appliances, including a dishwasher. Additional highlights include a removable built-in closet, custom lights with dimmers, a ceiling fan, beamed ceilings, an open north-facing view, and a large windowed bathroom with a classic soaking tub. The building offers a beautifully landscaped and furnished courtyard, a laundry room, and bike storage. Conveniently located near Trader Joe's just a block away and Whole Foods on 57th St., Sutton Place parks, the East River Greenway, Citi Bike stations, top-tier restaurants, and world-class shopping along 5th Ave., including Bergdorf Goodman. Easy access to multiple transportation options, the 59th St. Bridge, Roosevelt Island via the tram, and the FDR.", "year_built": 1930, "name": null }, "pet_policy": null, "nearby_schools": { "schools": [ { "__typename": "School", "coordinate": { "lat": 40.763844, "lon": -73.96377 }, "distance_in_miles": 0.3, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "elementary" ], "funding_type": "public", "grades": [ "K", "1", "2", "3", "4", "5" ], "id": "0751621431", "name": "East Side Elementary School, PS 267", "rating": 9, "student_count": 362 }, { "__typename": "School", "coordinate": { "lat": 40.735844, "lon": -73.980887 }, "distance_in_miles": 1.9, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "middle" ], "funding_type": "public", "grades": [ "6", "7", "8" ], "id": "0751469851", "name": "Jhs 104 Simon Baruch", "rating": 8, "student_count": 891 }, { "__typename": "School", "coordinate": { "lat": 40.736128, "lon": -73.992257 }, "distance_in_miles": 2.2, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "middle", "high" ], "funding_type": "public", "grades": [ "6", "7", "8", "9", "10", "11", "12" ], "id": "0751520251", "name": "The Clinton School", "rating": 8, "student_count": 786 }, { "__typename": "School", "coordinate": { "lat": 40.742492, "lon": -74.002566 }, "distance_in_miles": 2.4, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "middle" ], "funding_type": "public", "grades": [ "6", "7", "8" ], "id": "0751538341", "name": "Nyc Lab Ms For Collaborative Studies", "rating": 9, "student_count": 519 }, { "__typename": "School", "coordinate": { "lat": 40.757727, "lon": -73.964258 }, "distance_in_miles": 0.1, "district": { "id": "06194285711", "name": null }, "education_levels": [ "high" ], "funding_type": "private", "grades": [ "9", "10", "11", "12" ], "id": "0751490521", "name": "Cathedral High School", "rating": null, "student_count": 556 }, { "__typename": "School", "coordinate": { "lat": 40.757648, "lon": -73.96402 }, "distance_in_miles": 0.1, "district": { "id": "06194285711", "name": null }, "education_levels": [ "high" ], "funding_type": "private", "grades": [ "9", "10", "11", "12" ], "id": "0751695851", "name": "Cathedral High School", "rating": null, "student_count": 465 }, { "__typename": "School", "coordinate": { "lat": 40.759096, "lon": -73.965881 }, "distance_in_miles": 0.1, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "high" ], "funding_type": "public", "grades": [ "9", "10", "11", "12" ], "id": "0751456141", "name": "Art and Design High School", "rating": 8, "student_count": 1469 }, { "__typename": "School", "coordinate": { "lat": 40.757442, "lon": -73.964394 }, "distance_in_miles": 0.2, "district": { "id": "06194285711", "name": null }, "education_levels": [ "elementary" ], "funding_type": "private", "grades": [ "PK", "K", "1", "2", "3", "4", "5", "6" ], "id": "0751693731", "name": "Montessori School of Ny", "rating": null, "student_count": 70 }, { "__typename": "School", "coordinate": { "lat": 40.759123, "lon": -73.966312 }, "distance_in_miles": 0.2, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "elementary" ], "funding_type": "public", "grades": [ "K", "1", "2", "3", "4", "5" ], "id": "0751460361", "name": "Ps 59 Beekman Hill International", "rating": 8, "student_count": 523 }, { "__typename": "School", "coordinate": { "lat": 40.763737, "lon": -73.957755 }, "distance_in_miles": 0.4, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "elementary" ], "funding_type": "public", "grades": [ "K", "1", "2", "3", "4", "5" ], "id": "0751465451", "name": "Ps 183 Robert L Stevenson", "rating": 8, "student_count": 498 }, { "__typename": "School", "coordinate": { "lat": 40.765435, "lon": -73.959638 }, "distance_in_miles": 0.4, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "high" ], "funding_type": "public", "grades": [ "9", "10", "11", "12" ], "id": "0751518051", "name": "Urban Academy Laboratory High School", "rating": 1, "student_count": 135 } ] }, "schools": { "schools": [ { "__typename": "School", "coordinate": { "lat": 40.763844, "lon": -73.96377 }, "distance_in_miles": 0.3, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "elementary" ], "funding_type": "public", "grades": [ "K", "1", "2", "3", "4", "5" ], "id": "0751621431", "name": "East Side Elementary School, PS 267", "rating": 9, "student_count": 362 }, { "__typename": "School", "coordinate": { "lat": 40.735844, "lon": -73.980887 }, "distance_in_miles": 1.9, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "middle" ], "funding_type": "public", "grades": [ "6", "7", "8" ], "id": "0751469851", "name": "Jhs 104 Simon Baruch", "rating": 8, "student_count": 891 }, { "__typename": "School", "coordinate": { "lat": 40.736128, "lon": -73.992257 }, "distance_in_miles": 2.2, "district": { "id": "06194297221", "name": "New York City Geographic District # 2" }, "education_levels": [ "middle", "high" ], "funding_type": "public", "grades": [ "6", "7", "8", "9", "10", "11", "12" ], "id": "0751520251", "name": "The Clinton School", "rating": 8, "student_count": 786 }, { "__typename": "School", "coordinate": { "lat": 40.757727, "lon": -73.964258 }, "distance_in_miles": 0.1, "district": { "id": "06194285711", "name": null }, "education_levels": [ "high" ], "funding_type": "private", "grades": [ "9", "10", "11", "12" ], "id": "0751490521", "name": "Cathedral High School", "rating": null, "student_count": 556 } ] }, "products": { "products": [ "core.agent", "core.broker", "co_broke" ] }, "list_price": 339000, "list_price_min": null, "list_price_max": null, "price_per_sqft": null, "community": null, "lead_attributes": null, "flags": { "is_contingent": null, "is_new_construction": null, "is_pending": null, "is_foreclosure": null, "is_deal_available": null, "is_subdivision": null, "is_plan": null, "is_price_reduced": false, "is_new_listing": false, "is_coming_soon": null, "is_usda_eligible": false }, "provider_url": { "href": "https://www.compass.com/listing/339-east-58th-street-manhattan-ny-10022/1774850017611222745?origin=synd" }, "source": { "id": "UCNY", "disclaimer": null, "listing_id": "1774850017611222745", "plan_id": null, "spec_id": null, "community_id": null, "name": "Compass", "type": "mls", "feed_type": null, "agents": [ { "agent_name": "Dylan Dylan Hoffman" } ] }, "details": [ { "category": "Bedrooms", "text": [ "Bedrooms: 0" ] }, { "category": "Other Rooms", "text": [ "Total Rooms: 2" ] }, { "category": "Bathrooms", "text": [ "Total Bathrooms: 1", "Full Bathrooms: 1" ] }, { "category": "Interior Features", "text": [ "Doorman", "Elevator", "Total Floors in Building: 11" ] }, { "category": "Homeowners Association", "text": [ "Association: Yes", "Association Fee: 1654", "Calculated Total Monthly Association Fees: 1654" ] }, { "category": "Amenities and Community Features", "text": [ "Doorman: Yes" ] }, { "category": "Other Property Info", "text": [ "Source Listing Status: for sale", "Availability Date: 2025-02-12", "Source Property Type: resale", "Inclusions: Dishwasher", "Property Subtype: co-op", "Source Neighborhood: Midtown East", "Property Subtype: coop", "Source System Name: C2C" ] }, { "category": "Building and Construction", "text": [ "Year Built: 1930", "Property Age: 95", "Prewar: Yes", "Elevator: Yes" ] } ], "open_houses": [ { "start_date": "2025-04-27T17:00:00Z", "end_date": "2025-04-27T18:00:00Z", "time_zone": "EST", "methods": [ "in_person" ] } ], "tax_history": null, "location": { "address": { "line": "339 E 58th St Apt 9F", "city": "Manhattan", "state_code": "NY", "postal_code": "10022", "state": "New York", "coordinate": { "lat": 40.759534, "lon": -73.963146 } }, "county": { "fips_code": "36061", "name": "New York", "state_code": "NY" }, "street_view_url": "https://maps.googleapis.com/maps/api/streetview?channel=rdc-streetview&client=gme-movesalesinc&location=339%20E%2058th%20St%20Apt%209F%2C%20Manhattan%2C%20NY%2010022&size=640x480&source=outdoor&signature=uzKrvkMht5LYky2QSJlRzaJJyFE=", "neighborhoods": [ { "name": "Midtown East", "geo_statistics": { "housing_market": { "median_price_per_sqft": 1375, "median_sold_price": 1052500, "median_listing_price": 1350000, "median_days_on_market": 73 } } }, { "name": "Midtown Manhattan", "geo_statistics": { "housing_market": { "median_price_per_sqft": 1552, "median_sold_price": 1118750, "median_listing_price": 1495000, "median_days_on_market": 63 } } }, { "name": "Sutton Place", "geo_statistics": { "housing_market": { "median_price_per_sqft": 1021, "median_sold_price": 872000, "median_listing_price": 1125000, "median_days_on_market": 74 } } } ] }, "consumer_advertisers": [ { "advertiser_id": "2930336", "office_id": "2930336", "agent_id": "3320072", "name": "Dylan Hoffman", "phone": null, "type": "Agent", "href": "/realestateagents/Dylan-Hoffman_Manhattan_NY_3320072", "photo": { "href": null }, "show_realtor_logo": false, "hours": null }, { "advertiser_id": "2930336", "office_id": "2930336", "agent_id": "3320072", "name": "Compass", "phone": "(212) 913-9058", "type": "Office", "href": "https://www.compass.com/listing/339-east-58th-street-manhattan-ny-10022/1774850017611222745?origin=synd", "photo": { "href": "https://ap.rdcpix.com/3d4487bc2a822ef4894eb9f45c6e137fg-c3724393093s.jpg" }, "show_realtor_logo": false, "hours": null } ], "specials": null, "advertisers": [ { "fulfillment_id": "3320072", "nrds_id": null, "name": "Dylan Hoffman", "type": "seller", "email": "dhoffman@compass.com", "href": "https://www.compass.com/agents/nyc/dylan-hoffman", "state_license": "", "phones": [ { "number": "6464312260", "type": "Mobile", "ext": "", "trackable": null, "primary": true }, { "number": "2129139058", "type": "Office", "ext": "", "trackable": null, "primary": true } ], "builder": null, "office": { "fulfillment_id": "2930336", "name": "Compass", "href": "", "photo": { "href": "https://ap.rdcpix.com/3d4487bc2a822ef4894eb9f45c6e137fg-c3724393093l.jpg" }, "email": "agentexperience@compass.com", "phones": [ { "number": "2129139058", "type": "Office", "ext": "", "trackable": null, "primary": true }, { "number": "4046686621", "type": "Mobile", "ext": "", "trackable": null, "primary": true } ], "address": { "city": "New York", "state_code": "NY" } }, "broker": { "fulfillment_id": "2107942", "name": "Compass" }, "photo": null, "rental_management": null } ], "photo_count": 10, "photos": [ { "href": "https://ap.rdcpix.com/35f88d3fcf8401da247168e355f6a887l-m440050944s.jpg", "type": "realtordotcom_mls_listing_image", "tags": [ { "label": "living_room", "probability": 0.9999940395355225 } ] }, ], "property_history": null, "last_sold_price": 300000, "last_sold_date": "2021-12-02", "estimates": null }, "virtual_tours": null, "home_tours": { "virtual_tours": [] }, "matterport": null, "terms": null, "monthly_fees": null, "one_time_fees": null, "units": null, "community_rental_floorplans": null } ] ``` ### 🔗 Get Started Now > ⚡ [Run the API on Apify →](https://apify.com/coder_luffy/realtor-scraper)\ > 🎯 Start free. Scale anytime. No scraping knowledge needed. *** ## Made with ❤️ by [Coder Luffy](https://apify.com/coder_luffy) **Realtor.com scraper**, **Realtor API alternative**, **Realtor.com property data extractor**, **Property ID to JSON**, **scrape listing details**, **real estate data parser**, **no API key real estate scraper**, **mortgage & HOA data from Realtor**, **real estate agent contact scraper**, **housing market stats API**, **neighborhood pricing insights**, **home listing details API**, **Realtor.com metadata extractor**, **real estate analytics tool**, **fetch listing by property ID** # Actor input Schema ## `search_query` (type: `array`): Provide a list of either Realtor.com Property IDs or addresses to extract detailed property listing information, including agent contact details. ## Actor input object example ```json { "search_query": [ "3291777140", "3808 Warm Meadows St, Las Vegas", "13018 Lumberjack Rd NW Unit 1" ] } ``` # 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 = { "search_query": [ "3291777140", "3808 Warm Meadows St, Las Vegas", "13018 Lumberjack Rd NW Unit 1" ] }; // Run the Actor and wait for it to finish const run = await client.actor("coder_luffy/realtor-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "search_query": [ "3291777140", "3808 Warm Meadows St, Las Vegas", "13018 Lumberjack Rd NW Unit 1", ] } # Run the Actor and wait for it to finish run = client.actor("coder_luffy/realtor-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "search_query": [ "3291777140", "3808 Warm Meadows St, Las Vegas", "13018 Lumberjack Rd NW Unit 1" ] }' | apify call coder_luffy/realtor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,coder_luffy/realtor-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/doAiDux7KtuFaeMcI/builds/RbDOeIbYbiH75beBE/openapi.json