30 minutes trial then $25.00/month - No credit card required now

Realtor Scraper

scrapingking.com/realtor-scraper

30 minutes trial then $25.00/month - No credit card required now

Uncover valuable insights from realtor.com's extensive property listings. Extract descriptions, images, features, property details, pricing, neighborhood details, nearby schools, and more for millions of properties. Customize your searches and filters to find the perfect real estate data.

You can access the Realtor Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.1",
5    "x-build-id": "CCoE7izl2Zd4tdsBo"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/scrapingking.com~realtor-scraper/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-scrapingking.com-realtor-scraper",
16        "x-openai-isConsequential": false,
17        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18        "tags": [
19          "Run Actor"
20        ],
21        "requestBody": {
22          "required": true,
23          "content": {
24            "application/json": {
25              "schema": {
26                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/scrapingking.com~realtor-scraper/runs": {
50      "post": {
51        "operationId": "runs-sync-scrapingking.com-realtor-scraper",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$ref": "#/components/schemas/inputSchema"
63              }
64            }
65          }
66        },
67        "parameters": [
68          {
69            "name": "token",
70            "in": "query",
71            "required": true,
72            "schema": {
73              "type": "string"
74            },
75            "description": "Enter your Apify token here"
76          }
77        ],
78        "responses": {
79          "200": {
80            "description": "OK",
81            "content": {
82              "application/json": {
83                "schema": {
84                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/scrapingking.com~realtor-scraper/run-sync": {
93      "post": {
94        "operationId": "run-sync-scrapingking.com-realtor-scraper",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$ref": "#/components/schemas/inputSchema"
106              }
107            }
108          }
109        },
110        "parameters": [
111          {
112            "name": "token",
113            "in": "query",
114            "required": true,
115            "schema": {
116              "type": "string"
117            },
118            "description": "Enter your Apify token here"
119          }
120        ],
121        "responses": {
122          "200": {
123            "description": "OK"
124          }
125        }
126      }
127    }
128  },
129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "region"
135        ],
136        "properties": {
137          "region": {
138            "title": "Search String (Region) county with state",
139            "type": "string",
140            "description": "write Search Region as you see on Realtor, for example 'Riverside County, CA'"
141          },
142          "limit": {
143            "title": "Limit Output",
144            "type": "integer",
145            "description": "enter 0 for maximum output, or enter the limit you need in output or GHL. \n \n \nAlso it's a soft limit, as it can be approximate because it does a lot of parallel processing. so you will see a few more in output then entered number"
146          }
147        }
148      },
149      "runsResponseSchema": {
150        "type": "object",
151        "properties": {
152          "data": {
153            "type": "object",
154            "properties": {
155              "id": {
156                "type": "string"
157              },
158              "actId": {
159                "type": "string"
160              },
161              "userId": {
162                "type": "string"
163              },
164              "startedAt": {
165                "type": "string",
166                "format": "date-time",
167                "example": "2025-01-08T00:00:00.000Z"
168              },
169              "finishedAt": {
170                "type": "string",
171                "format": "date-time",
172                "example": "2025-01-08T00:00:00.000Z"
173              },
174              "status": {
175                "type": "string",
176                "example": "READY"
177              },
178              "meta": {
179                "type": "object",
180                "properties": {
181                  "origin": {
182                    "type": "string",
183                    "example": "API"
184                  },
185                  "userAgent": {
186                    "type": "string"
187                  }
188                }
189              },
190              "stats": {
191                "type": "object",
192                "properties": {
193                  "inputBodyLen": {
194                    "type": "integer",
195                    "example": 2000
196                  },
197                  "rebootCount": {
198                    "type": "integer",
199                    "example": 0
200                  },
201                  "restartCount": {
202                    "type": "integer",
203                    "example": 0
204                  },
205                  "resurrectCount": {
206                    "type": "integer",
207                    "example": 0
208                  },
209                  "computeUnits": {
210                    "type": "integer",
211                    "example": 0
212                  }
213                }
214              },
215              "options": {
216                "type": "object",
217                "properties": {
218                  "build": {
219                    "type": "string",
220                    "example": "latest"
221                  },
222                  "timeoutSecs": {
223                    "type": "integer",
224                    "example": 300
225                  },
226                  "memoryMbytes": {
227                    "type": "integer",
228                    "example": 1024
229                  },
230                  "diskMbytes": {
231                    "type": "integer",
232                    "example": 2048
233                  }
234                }
235              },
236              "buildId": {
237                "type": "string"
238              },
239              "defaultKeyValueStoreId": {
240                "type": "string"
241              },
242              "defaultDatasetId": {
243                "type": "string"
244              },
245              "defaultRequestQueueId": {
246                "type": "string"
247              },
248              "buildNumber": {
249                "type": "string",
250                "example": "1.0.0"
251              },
252              "containerUrl": {
253                "type": "string"
254              },
255              "usage": {
256                "type": "object",
257                "properties": {
258                  "ACTOR_COMPUTE_UNITS": {
259                    "type": "integer",
260                    "example": 0
261                  },
262                  "DATASET_READS": {
263                    "type": "integer",
264                    "example": 0
265                  },
266                  "DATASET_WRITES": {
267                    "type": "integer",
268                    "example": 0
269                  },
270                  "KEY_VALUE_STORE_READS": {
271                    "type": "integer",
272                    "example": 0
273                  },
274                  "KEY_VALUE_STORE_WRITES": {
275                    "type": "integer",
276                    "example": 1
277                  },
278                  "KEY_VALUE_STORE_LISTS": {
279                    "type": "integer",
280                    "example": 0
281                  },
282                  "REQUEST_QUEUE_READS": {
283                    "type": "integer",
284                    "example": 0
285                  },
286                  "REQUEST_QUEUE_WRITES": {
287                    "type": "integer",
288                    "example": 0
289                  },
290                  "DATA_TRANSFER_INTERNAL_GBYTES": {
291                    "type": "integer",
292                    "example": 0
293                  },
294                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
295                    "type": "integer",
296                    "example": 0
297                  },
298                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
299                    "type": "integer",
300                    "example": 0
301                  },
302                  "PROXY_SERPS": {
303                    "type": "integer",
304                    "example": 0
305                  }
306                }
307              },
308              "usageTotalUsd": {
309                "type": "number",
310                "example": 0.00005
311              },
312              "usageUsd": {
313                "type": "object",
314                "properties": {
315                  "ACTOR_COMPUTE_UNITS": {
316                    "type": "integer",
317                    "example": 0
318                  },
319                  "DATASET_READS": {
320                    "type": "integer",
321                    "example": 0
322                  },
323                  "DATASET_WRITES": {
324                    "type": "integer",
325                    "example": 0
326                  },
327                  "KEY_VALUE_STORE_READS": {
328                    "type": "integer",
329                    "example": 0
330                  },
331                  "KEY_VALUE_STORE_WRITES": {
332                    "type": "number",
333                    "example": 0.00005
334                  },
335                  "KEY_VALUE_STORE_LISTS": {
336                    "type": "integer",
337                    "example": 0
338                  },
339                  "REQUEST_QUEUE_READS": {
340                    "type": "integer",
341                    "example": 0
342                  },
343                  "REQUEST_QUEUE_WRITES": {
344                    "type": "integer",
345                    "example": 0
346                  },
347                  "DATA_TRANSFER_INTERNAL_GBYTES": {
348                    "type": "integer",
349                    "example": 0
350                  },
351                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
352                    "type": "integer",
353                    "example": 0
354                  },
355                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
356                    "type": "integer",
357                    "example": 0
358                  },
359                  "PROXY_SERPS": {
360                    "type": "integer",
361                    "example": 0
362                  }
363                }
364              }
365            }
366          }
367        }
368      }
369    }
370  }
371}

Realtor Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Realtor Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Realtor Scraper API in Python

Realtor Scraper API in JavaScript

Realtor Scraper API through CLI

Realtor Scraper API

Developer

Scraping King

Actor Metrics

2 monthly users
2 bookmarks
>99% runs succeeded
Created in Feb 2024
Modified 4 months ago

Categories

Realtor.com Scraper Light

monkey/realtorcomlight

Realtor.com scraper, but better. Parse price, size, location, coordinates, type, broker, year built, zip code, etc for millions of properties listed on Realtor.com, filtered according to your needs.

Rodion Vynnychenko

Best Realtor.com scraper

apifyscraper/realtor

Get valuable insight from realtor agents data. This scraper provides you complete database of all agents from realtor.com including agent contact details and statistics. Find all the active agents in a market within 60 seconds.

Apify Scraper

Realtor.com Scraper

powerful_bachelor/Realtor-com-Scraper

🏡 Realtor.com Scraper is a powerful tool for extracting detailed property data from Realtor.com listings. Perfect for real estate professionals and researchers, it provides insights like pricing, location, and amenities in formats like JSON, CSV, and Excel for easy analysis.

Powerful Bachelor

Realtor.com Scraper 🏠

easyapi/realtor-com-scraper

Scrape real estate listings from Realtor.com. Extract detailed property information including prices, location details, property features, and more. Perfect for real estate market analysis and property research.

EasyApi

Realtor Explorer

jupri/realtor-explorer

Scrape, extract, filter, sort 🏠 homes / property data from Realtor.com

cat

Realtor.com Agent Scraper 🏠👥

easyapi/realtor-com-agent-scraper

Scrape real estate agent profiles from Realtor.com, including their contact details, service areas, experience, listings, and performance metrics. Perfect for lead generation and market research.

EasyApi

Realtor.com Search Results and Detail Scraper (All-in-one)

memo23/realtor-search-cheerio

Effortlessly scrape comprehensive real estate property listings from Realtor.com, including details like prices, amenities, locations, photos, and agent information. Gather everything you need to analyze, compare, and track real estate trends.

Muhamed Didovic

Realtor Agents Scraper

dhrumil/realtor-agents-scraper

Get valuable insight from realtor agents data. This scraper provides you complete database of all agents from realtor.com including agent contact details and statistics. You can scrape specific area of choice to analyze as well.

Dhrumil Bhankhar

Realtor Agents scraper

dainty_screw/realtor-agents-scraper

Our Realtor Agents Data Scraper provides a complete list of agents from Realtor.com, including their contact info and stats. Ideal for professionals needing fast and detailed market insights.

codemaster devops

Realtor Scraper Pro

getdataforme/realtor-scraper-pro

Realtor scraper pro helps to extract properties address and price details of the property listed in realtor.com. It's accurate reliable and easy to use tool.