Question 1

Searching, Filtering, and Pagination Guide

Accepted Answer

Our real estate APIs provide powerful and flexible search capabilities, allowing you to find the perfect listings using a variety of query string parameters. In this article, we'll guide you through the process of searching, filtering, and paginating listings using our API.

Getting Started

To search for real estate listings, you will make a GET request to our listings endpoint. By appending query string parameters to the URL, you can filter the listings to match your specific criteria.

Example Search Request

Let's say you want to find homes in New York that have three bedrooms and are priced under one million dollars. You would make a request like this:

GET https://api.repliers.io/listings?maxPrice=1000000&city=New York&minBedrooms=3

This request will return an array of listings that match the search criteria you specified.

Supported Filters

Our API supports a wide range of filters to help you narrow down your search. Here are some of the most commonly used filters:

maxPrice: The maximum price of the listings.
minPrice: The minimum price of the listings.
city: The city where the listings are located.
minBedrooms: The minimum number of bedrooms.
maxBedrooms: The maximum number of bedrooms.
minBaths: The minimum number of bathrooms.
maxBaths: The maximum number of bathrooms.
propertyType: The type of property (e.g., house, condo, townhouse).
status: The status of the listing (e.g., active, pending, sold).
minSqft: The minimum square f

Question 2

Listing Images Implementation Guide

Accepted Answer

Repliers offers a robust Listing Images Content Delivery Network (CDN) that allows developers to embed and dynamically resize/format property photos seamlessly. This feature brings significant cost and time savings, enhances performance through shared caching, and mitigates the need for manual image monitoring.

CDN URL Structure

For listings with available images, an "images" array will be present. Here's an example listings array:

"images": [
                "area/IMG-N8418368_1.jpg",
                "area/IMG-N8418368_2.jpg",
                "area/IMG-N8418368_3.jpg",
                "area/IMG-N8418368_4.jpg",
                "area/IMG-N8418368_5.jpg",
                "area/IMG-N8418368_6.jpg",
                "area/IMG-N8418368_7.jpg",
                "area/IMG-N8418368_8.jpg",
                "area/IMG-N8418368_9.jpg",
                "area/IMG-N8418368_10.jpg",
                "area/IMG-N8418368_11.jpg",
                "area/IMG-N8418368_12.jpg",
                "area/IMG-N8418368_13.jpg",
                "area/IMG-N8418368_14.jpg",
                "area/IMG-N8418368_15.jpg"
          ],

The image URLs should be prefixed with https://cdn.repliers.io/. For example:

https://cdn.repliers.io/area/IMG-N8418368_15.jpg

Authorization

To embed images at scale, your website's URL must be whitelisted. For app developers, a custom user-agent can be created for authorization purposes.

Default Image Sizes

Mobile Devices: Image width def

Question 3

Using Aggregates To Determine Acceptable Values For Filters

Accepted Answer

The Repliers real estate APIs include a powerful feature called "aggregates," which allows users to determine acceptable values for certain parameters and filters. This guide will explain how to use this feature effectively.

Determining Acceptable Values

To find out what values you can use for a specific parameter like propertyType, you can make a request to the Repliers API with the aggregates query parameter. For example:

https://api.repliers.io/listings?aggregates=details.propertyType

In the response, you will receive an aggregates object containing the possible values and their respective counts. Here is an example of what the response might look like:

```json { "aggregates": { "details": { "propertyType": { "Apartment/Condo": 8844, "House/Single Family": 8661, "Townhouse": 3114, "Vacant Land": 1021, "Business": 1001, "House With Acreage": 865, "Industrial": 804, "Office": 738, "Retail": 680, "1/2 Duplex": 594, "Land Commercial": 328, "Multi-Family Commercial": 136, "Manufactured": 134, "Business With Property": 83, "Other": 83, "Agri-Business": 70, "Duplex": 60, "Manufactured With Land": 41, "Row House (Non-Strata)": 38,

Question 4

Filtering Listings Geo-Spatially Using the "map" Parameter

Accepted Answer

Our real estate API allows users to filter listings geo-spatially by using the "map" parameter. Users can pass in single polygon or multipolygon shapes to isolate listings within specified map boundaries. This feature is commonly used to display listings within a map's boundaries or to allow users to draw shapes on a map to filter listings.

Single Polygon Request

To filter listings within a single polygon, use the following request format:

Request:

POST https://api.repliers.io/listings
{
  "map": [    [      [        -79.3928178512883,        43.65790500294517      ],
      [        -79.40145579410431,        43.651653527879944      ],
      [        -79.38874165704074,        43.64991005052994      ],
      [        -79.3928178512883,        43.65790500294517      ]
    ]
  ]
}

Multipolygon Request

To filter listings within multiple polygons, use the following request format:

Request:

```json POST https://api.repliers.io/listings { "map": [ [ [ -79.3928178512883, 43.65790500294517 ], [ -79.40145579410431, 43.651653527879944 ], [ -79.38874165704074, 43.64991005052994 ], [ -79.3928178512883, 43.65790500294517 ] ], [ [ -79.38538193864319, 43.65790207978401 ], [ -79.37818295748833, 43.656856957533705 ], [ -79.37794674628078, 43.663805792537715 ], [

Question 5

AI Image Search Implementation Guide

Accepted Answer

Our real estate APIs enable advanced image search capabilities using AI to enhance the search experience. When searching images, the results are not limited by the search criteria but are sorted by relevance, ensuring the most relevant listings appear first. Each listing is assigned a relevance score, indicating how closely it matches the image inputs.

Important Note

When using image search, the results are not restricted by the image search criteria. For instance, if you search through 500 listings, you will still receive all 500 listings in the response. The key benefit is that these listings will be sorted by relevance, with the most relevant listing appearing first. Each listing will have a score indicating its relevance to the image inputs, helping you quickly identify the best matches. By not limiting the results based on image inputs, we ensure that no potential listings are hidden from the buyer, saving them time and providing the most relevant options without excluding any inventory.

Using the API

To perform an image search, you will need to make a POST request to https://api.repliers.io/listings instead of a GET request. This is because the image inputs are provided in the body of the request in JSON format.

Request Structure

Text-based Image Search

{
    "imageSearchItems": [
        {
            "type": "text",
            "value": "wine cellar",
            "boost": 1
        }
    ]
}

_Example: Searching for listings with a wi

Question 6

Map Clustering Implementation Guide

Accepted Answer

Our real estate APIs feature a map clustering capability that optimizes the display of listings on a map. This feature significantly improves performance by clustering listings server-side, thereby reducing the need to handle large datasets on the front-end.

Requesting Clusters

To request clusters of listings, set the cluster parameter to true in your API request:

GET https://api.repliers.io/listings?cluster=true

Example Response Containing Clusters

```json { "aggregates": { "map": { "clusters": [ { "count": 19585, "location": { "latitude": 43.70534443195513, "longitude": -79.36733720479269 }, "bounds": { "bottomright": { "latitude": 43.633363377302885, "longitude": -79.10189635120332 }, "topleft": { "latitude": 43.83431699126959, "longitude": -79.45311376824975 } }, "map": [ [ [ -79.45311376824975, 43.83431699126959 ], [ -79.45311376824975,

Frequently Read Articles

Browse All Categories

No categories configured.