AI Realestateagent
Under maintenance
Try for free
This Actor is paid per event
Go to Store
This Actor is under maintenance.
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsAI Realestateagent
bala-ceg/ai-realestateagent
Try for free
This Actor is paid per event
AI Real Estate Agent is an Apify Actor that searches for real estate listings on Zillow based on user queries. It extracts ZIP codes using an LLM (GPT-3.5-Turbo) and fetches property listings using the Zillow Scraper.
Developer
Balaji SeetharamanMaintained by Community
Actor Metrics
4 monthly users
No reviews yet
No bookmarks yet
21% runs succeeded
Created in Mar 2025
Modified 4 days ago
Categories
You can access the AI Realestateagent programmatically from your own applications by using the Apify API. You can also 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": "0.0",
5 "x-build-id": "cpfkSTIEh99qv36X8"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/bala-ceg~ai-realestateagent/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-bala-ceg-ai-realestateagent",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/bala-ceg~ai-realestateagent/runs": {
50 "post": {
51 "operationId": "runs-sync-bala-ceg-ai-realestateagent",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/bala-ceg~ai-realestateagent/run-sync": {
93 "post": {
94 "operationId": "run-sync-bala-ceg-ai-realestateagent",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "query"
135 ],
136 "properties": {
137 "query": {
138 "title": "Query",
139 "type": "string",
140 "description": "Query for the agent.",
141 "default": "Searching for a 2-bedroom apartment in San Francisco, CA, with a monthly rent between $2000 and $4000, and preferably featuring amenities such as parking and a gym."
142 },
143 "debug": {
144 "title": "Debug",
145 "type": "boolean",
146 "description": "If enabled, the Actor will run in debug mode and produce more output.",
147 "default": false
148 }
149 }
150 },
151 "runsResponseSchema": {
152 "type": "object",
153 "properties": {
154 "data": {
155 "type": "object",
156 "properties": {
157 "id": {
158 "type": "string"
159 },
160 "actId": {
161 "type": "string"
162 },
163 "userId": {
164 "type": "string"
165 },
166 "startedAt": {
167 "type": "string",
168 "format": "date-time",
169 "example": "2025-01-08T00:00:00.000Z"
170 },
171 "finishedAt": {
172 "type": "string",
173 "format": "date-time",
174 "example": "2025-01-08T00:00:00.000Z"
175 },
176 "status": {
177 "type": "string",
178 "example": "READY"
179 },
180 "meta": {
181 "type": "object",
182 "properties": {
183 "origin": {
184 "type": "string",
185 "example": "API"
186 },
187 "userAgent": {
188 "type": "string"
189 }
190 }
191 },
192 "stats": {
193 "type": "object",
194 "properties": {
195 "inputBodyLen": {
196 "type": "integer",
197 "example": 2000
198 },
199 "rebootCount": {
200 "type": "integer",
201 "example": 0
202 },
203 "restartCount": {
204 "type": "integer",
205 "example": 0
206 },
207 "resurrectCount": {
208 "type": "integer",
209 "example": 0
210 },
211 "computeUnits": {
212 "type": "integer",
213 "example": 0
214 }
215 }
216 },
217 "options": {
218 "type": "object",
219 "properties": {
220 "build": {
221 "type": "string",
222 "example": "latest"
223 },
224 "timeoutSecs": {
225 "type": "integer",
226 "example": 300
227 },
228 "memoryMbytes": {
229 "type": "integer",
230 "example": 1024
231 },
232 "diskMbytes": {
233 "type": "integer",
234 "example": 2048
235 }
236 }
237 },
238 "buildId": {
239 "type": "string"
240 },
241 "defaultKeyValueStoreId": {
242 "type": "string"
243 },
244 "defaultDatasetId": {
245 "type": "string"
246 },
247 "defaultRequestQueueId": {
248 "type": "string"
249 },
250 "buildNumber": {
251 "type": "string",
252 "example": "1.0.0"
253 },
254 "containerUrl": {
255 "type": "string"
256 },
257 "usage": {
258 "type": "object",
259 "properties": {
260 "ACTOR_COMPUTE_UNITS": {
261 "type": "integer",
262 "example": 0
263 },
264 "DATASET_READS": {
265 "type": "integer",
266 "example": 0
267 },
268 "DATASET_WRITES": {
269 "type": "integer",
270 "example": 0
271 },
272 "KEY_VALUE_STORE_READS": {
273 "type": "integer",
274 "example": 0
275 },
276 "KEY_VALUE_STORE_WRITES": {
277 "type": "integer",
278 "example": 1
279 },
280 "KEY_VALUE_STORE_LISTS": {
281 "type": "integer",
282 "example": 0
283 },
284 "REQUEST_QUEUE_READS": {
285 "type": "integer",
286 "example": 0
287 },
288 "REQUEST_QUEUE_WRITES": {
289 "type": "integer",
290 "example": 0
291 },
292 "DATA_TRANSFER_INTERNAL_GBYTES": {
293 "type": "integer",
294 "example": 0
295 },
296 "DATA_TRANSFER_EXTERNAL_GBYTES": {
297 "type": "integer",
298 "example": 0
299 },
300 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
301 "type": "integer",
302 "example": 0
303 },
304 "PROXY_SERPS": {
305 "type": "integer",
306 "example": 0
307 }
308 }
309 },
310 "usageTotalUsd": {
311 "type": "number",
312 "example": 0.00005
313 },
314 "usageUsd": {
315 "type": "object",
316 "properties": {
317 "ACTOR_COMPUTE_UNITS": {
318 "type": "integer",
319 "example": 0
320 },
321 "DATASET_READS": {
322 "type": "integer",
323 "example": 0
324 },
325 "DATASET_WRITES": {
326 "type": "integer",
327 "example": 0
328 },
329 "KEY_VALUE_STORE_READS": {
330 "type": "integer",
331 "example": 0
332 },
333 "KEY_VALUE_STORE_WRITES": {
334 "type": "number",
335 "example": 0.00005
336 },
337 "KEY_VALUE_STORE_LISTS": {
338 "type": "integer",
339 "example": 0
340 },
341 "REQUEST_QUEUE_READS": {
342 "type": "integer",
343 "example": 0
344 },
345 "REQUEST_QUEUE_WRITES": {
346 "type": "integer",
347 "example": 0
348 },
349 "DATA_TRANSFER_INTERNAL_GBYTES": {
350 "type": "integer",
351 "example": 0
352 },
353 "DATA_TRANSFER_EXTERNAL_GBYTES": {
354 "type": "integer",
355 "example": 0
356 },
357 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
358 "type": "integer",
359 "example": 0
360 },
361 "PROXY_SERPS": {
362 "type": "integer",
363 "example": 0
364 }
365 }
366 }
367 }
368 }
369 }
370 }
371 }
372 }
373}AI Realestateagent 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 AI Realestateagent from the options below:
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:
