Realtor.com Scraper
by epctex
Stop manually hunting for property data. This Realtor.com scraper pulls everything you need from listings at scale, so you can focus on analysis and s...
Opens on Apify.com
About Realtor.com Scraper
Stop manually hunting for property data. This Realtor.com scraper pulls everything you need from listings at scale, so you can focus on analysis and strategy. I use this to grab clean, structured data from millions of listings. It extracts the full description, all images, key features like square footage and bedroom count, current pricing, and detailed neighborhood information—including nearby schools. You can customize the searches with filters to target exactly the type of real estate data you're after, whether it's single-family homes in a specific zip code or condos within a certain price range. The main benefit is automation. Instead of copying and pasting, you get a formatted dataset ready for a spreadsheet or your database. It's perfect for market research, building property comparison tools, tracking price trends, or generating leads for real estate investing. The data helps you spot opportunities and make informed decisions faster. Just set your search parameters, run the actor, and get your results. It handles the heavy lifting of navigating Realtor.com and parsing the details, saving you hours of manual work.
What does this actor do?
Realtor.com Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Actor - Realtor Scraper ## Realtor scraper Since Realtor doesn't provide an API, this actor should help you to retrieve data from it. The Realtor data scraper supports the following features: - Scrape property details - You can scrape attributes like property images, price, features, neighborhood, nearby schools, and many more. You can find details below. - Scrape sold properties - You can scrape sold properties through a search list. - Scrape for sale properties - If you are looking for a property that is for sale, you can directly target them. - Scrape rental properties - Rental properties can be directly targeted. - Scrape by keyword - You can use location-wise keywords to search specific search lists. Also, you can directly point out rental, for sale, or sold properties on this feature. - Scrape properties by filter - Auto detection of URLs helps you to directly copy/paste the URLs into the scraper to apply any filtering you like. #### Realtor specific Don't worry when you get a little bit different properties than you saw on the browser page. Realtor is ordering properties differently for each user. ## Important Notice This actor does not have the capability of retrieving agents. It does not support Agent Search and it does not retrieve agent information at the current moment. ## Bugs, fixes, updates, and changelog This scraper is under active development. If you have any feature requests you can create an issue from here. ## Setup & Usage You can see how this actor works in this video: ## Input Parameters The input of this scraper should be JSON containing the list of pages on Realtor that should be visited. Possible fields are: - search: (Optional) (String) Keyword that can be searched in the Realtor search engine. When it is present, mode must be used as well. - startUrls: (Optional) (Array) List of Realtor URLs. You should only provide property detail or search URLs. - mode: (Optional) (String) Mode of the actor. It gets the keyword from search parameter and initiates the search according to the mode. Can be BUY, RENT or SOLD. When present, search must be provided as well. - endPage: (Optional) (Number) Final number of page that you want to scrape. The default is Infinite. This applies to all search requests and startUrls individually. - maxItems: (Optional) (Number) You can limit scraped items. This should be useful when you search through the big lists or search results. - includeFloorplans: (Optional) (Boolean) Can be set to true if floorplans of property units are required. - proxy: (Required) (Proxy Object) Proxy configuration. - extendOutputFunction: (Optional) (String) Function that takes a JQuery handle ($) as an argument and returns an object with data. This solution requires the use of Proxy servers, either your own proxy servers or you can use Apify Proxy. ### Tip When you want to have filtering over a search URL; go to Realtor, create filters over the search list, and copy and paste the link as one of the startUrl. If you would like to scrape only the first page of a search list or search list, then put the link for the page and have the endPage as 1. With the last approach that is explained above you can also fetch any interval of pages. If you provide the 5th page of a search list and define the endPage parameter as 6 then you'll have the 5th and 6th pages only. ### Compute Unit Consumption The actor is optimized to run blazing fast and scrape many properties as possible. Therefore, it forefronts all property detail requests. If the actor doesn't block very often it'll scrape 50 properties in 2 minutes with ~0.05-0.07 compute units. ### Realtor Scraper Input example json { "startUrls": [ "https://www.realtor.com/realestateandhomes-detail/9325-W-Desert-Inn-Rd-Apt-116_Las-Vegas_NV_89117_M25429-00790", "https://www.realtor.com/realestateandhomes-detail/6655-S-Fort-Apache-Rd_Las-Vegas_NV_89148_M14497-02317", "https://www.realtor.com/realestateandhomes-detail/2700-Las-Vegas-Blvd-S-Unit-3604_Las-Vegas_NV_89109_M12056-23357" ], "search": "Las Vegas", "mode": "BUY", "proxy": { "useApifyProxy": true }, "maxItems": 5, "includeFloorplans": true } ## During the Run During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified. When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page. If you provide incorrect input to the actor, it will immediately stop with a failure state and output an explanation of what is wrong. ## Realtor Export During the run, the actor stores results into a dataset. Each item is a separate item in the dataset. You can manage the results in any language (Python, PHP, Node JS/NPM). See the FAQ or our API reference to learn more about getting results from this Realtor actor. ## Scraped Realtor Properties The structure of each item in Realtor products looks like this: ### Properties json { "url": "https://www.realtor.com/realestateandhomes-detail/4368-Seville-St_Las-Vegas_NV_89121_M14226-64517", "status": "sold", "id": "1422664517", "soldOn": "2022-06-08", "lastSoldPrice": 485000, "listPrice": null, "baths": 3, "baths_3qtr": null, "baths_full": 2, "baths_full_calc": 2, "baths_half": 1, "baths_max": null, "baths_min": null, "baths_partial_calc": 1, "baths_total": 3, "beds": 4, "beds_max": null, "beds_min": null, "construction": null, "cooling": "Central", "exterior": "Frame/Stucco", "fireplace": "Yes", "garage": null, "garage_max": null, "garage_min": null, "garage_type": "Built In", "heating": "Forced Air", "logo": null, "lot_sqft": 9148, "name": null, "pool": null, "roofing": "Composition Shingle", "rooms": 9, "sqft": 2752, "sqft_max": null, "sqft_min": null, "stories": 2, "styles": null, "sub_type": null, "text": null, "type": "single_family", "units": null, "year_built": 1975, "year_renovated": 1975, "zoning": "R-1", "coordinates": { "latitude": 36.110005, "longitude": -115.077626 }, "address": { "street": "4368 Seville St", "locality": "Las Vegas", "region": "NV", "postalCode": "89121" }, "photos": null, "nearbySchools": { "schools": [ { "coordinate": { "lat": 36.11256, "lon": -115.072924 }, "distance_in_miles": 0.3, "district": { "id": "06188571441", "name": "Clark County School District" }, "education_levels": [ "elementary" ], "funding_type": "public", "grades": [ "PK", "K", "1", "2", "3", "4", "5" ], "greatschools_id": "3200120", "id": "0745716001", "name": "William E Ferron Elementary School", "nces_code": "320006000118", "parent_rating": 4, "rating": 5, "review_count": 7, "slug_id": "William-E-Ferron-Elementary-School-0745716001", "student_count": 647 }, { "coordinate": { "lat": 36.106733, "lon": -115.090665 }, "distance_in_miles": 0.8, "district": { "id": "06188571441", "name": "Clark County School District" }, "education_levels": [ "middle" ], "funding_type": "public", "grades": [ "6", "7", "8" ], "greatschools_id": "3200020", "id": "0745714551", "name": "C W Woodbury Middle School", "nces_code": "320006000017", "parent_rating": 4, "rating": 2, "review_count": 9, "slug_id": "C-W-Woodbury-Middle-School-0745714551", "student_count": 904 }, { "coordinate": { "lat": 36.119938, "lon": -115.087966 }, "distance_in_miles": 0.9, "district": { "id": "06188571441", "name": "Clark County School District" }, "education_levels": [ "high" ], "funding_type": "public", "grades": [ "9", "10", "11", "12" ], "greatschools_id": "3200021", "id": "0745714561", "name": "Chaparral High School", "nces_code": "320006000018", "parent_rating": 4, "rating": 3, "review_count": 7, "slug_id": "Chaparral-High-School-0745714561", "student_count": 2384 }, { "coordinate": { "lat": 36.117541, "lon": -115.092576 }, "distance_in_miles": 1, "district": { "id": "06188571421", "name": null }, "education_levels": [ "elementary", "middle" ], "funding_type": "private", "grades": [ "K", "1", "2", "3", "4", "5", "6", "7", "8" ], "greatschools_id": "3200710", "id": "0745724421", "name": "Mt Olive Luteran School", "nces_code": "A0106133", "parent_rating": 5, "rating": null, "review_count": 4, "slug_id": "Mt-Olive-Luteran-School-0745724421", "student_count": 59 } ] }, "neighborhood": null, "local": { "flood": { "firststreet_url": "https://riskfactor.com/property/4368-seville-st-las-vegas-nevada-89121/321219289_fsid/flood?utm_source=realtor", "fsid": "321219289", "flood_factor_score": 1, "flood_factor_severity": "minimal", "environmental_risk": 1, "trend_direction": 0, "fema_zone": [ "X" ], "insurance_requirement": "recommended", "flood_trend": "This property’s flood risk is not changing.", "flood_trend_paragraph": "This property’s risk of flood is <b>not changing</b>.", "flood_insurance_text": "As this property is located in FEMA Zone X, flood insurance is not federally required to obtain a mortgage. You may want to purchase flood insurance to protect your home. Explore quotes from <b>5 providers</b> that offer flood insurance from <b>$435</b> to <b>$905</b> per year.", "insurance_rates": [ { "provider_url": "https://1str.ee/t/hippo/flood/321219289?source=realtor", "provider_name": "Hippo Insurance Agency, LLC", "provider_logo": "https://assets.floodfactor.com/insurance/hippo.png", "expires": null, "price": null, "home_coverage": 250000, "contents_coverage": 100000, "disclaimer": null } ] }, "noise": { "score": 73, "noise_categories": [ { "text": "Low", "type": "airport" }, { "text": "High", "type": "traffic" }, { "text": "Low", "type": "local" }, { "text": "Medium", "type": "score" } ] }, "wildfire": { "fsid": "321219289", "fire_factor_score": 1, "fire_factor_severity": "Minimal", "fire_cumulative_30": null, "fire_trend": "This property’s wildfire risk is not changing.", "fire_trend_paragraph": "This property's risk of wildfire is <b>not changing</b>.", "usfs_relative_risk": "This property is located in a county with an average wildfire risk greater than 85% counties in the US.", "firststreet_url": "https://riskfactor.com/property/4368-seville-st-las-vegas-nevada-89121/321219289_fsid/fire?utm_source=realtor", "fire_insurance_text": "Invest in insurance that covers hazards including wildfire to reduce your financial risk and recover more quickly after a fire. To protect your home, explore quotes from <b>7 providers</b> that offer insurance with wildfire coverage.", "insurance_rates": [ { "provider_logo": "https://assets.floodfactor.com/insurance/hippo.png", "provider_url": "https://1str.ee/t/hippo/fire/321219289?source=realtor" } ] } }, "history": [ { "date": "2022-06-08", "event_name": "Sold", "price": 485000, "price_sqft": 176.23546511627907, "source_listing_id": null, "source_name": "Public Record", "listing": null }, { "date": "2022-05-13", "event_name": "Listing removed", "price": 0, "price_sqft": null, "source_listing_id": "2393319", "source_name": "LasVegas", "listing": { "list_price": 475000, "last_status_change_date": "2022-05-13T03:08:06Z", "last_update_date": "2022-05-05T08:24:18Z", "status": "off_market", "list_date": "2022-05-05T08:04:46Z", "listing_id": "2942756233", "suppression_flags": { "has_suppress_sold_info": true }, "photos": [ { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3082072648s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1827141646s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m4254921847s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1151405011s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3806640650s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3942876455s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1661349441s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m4047814041s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2160077492s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1263782816s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2746061833s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m4107406175s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2910718438s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3028123988s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3813972027s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1421957916s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3431148020s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3856479392s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1411435325s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m491581803s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2268681331s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2922686144s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2301519764s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m793117848s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m40245287s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1936417894s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3072168545s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m4212323395s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m202704110s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m563546097s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m1683360307s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2833466280s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m341779919s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2434645635s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m320319668s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m3619621644s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m690698608s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m593262984s.jpg" }, { "href": "http://ap.rdcpix.com/804a9d1ab2622363f784ffddb59bdb93l-m2669032613s.jpg" } ], "description": { "text": "Spacious 2 Story, 4 Bed, 3 Bath, 2 car. Separate Dining, Family, and Living Room. RV Parking, 4 Car Spot Drive Way, Oversized 4th Bedroom Gym/Loft. Hard Wood Floor Upstairs, Tile Downstairs, Downstairs Laundry. Master Balcony, Above Ground Jacuzzi, Custom Shed, 9k Sqft lot Real Green Grass, Immaculate Landscaping. 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If you are looking for any custom integration or so, please reach out to us through the chat box in epctex.com. In need of support? business@epctex.com is at your service.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
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