
Sreality statistics
2 hours trial then $5.00/month - No credit card required now

Sreality statistics
2 hours trial then $5.00/month - No credit card required now
Super fast and very efficient sreality.cz statistics actor. Get all offers for city or location and it will calculates values such as average price, average price per m2, median price and median price per m2. Only for Czech Republic.
You can access the Sreality statistics programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.3",
5 "x-build-id": "fWBKh1UVJuhPvdIwh"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/bebich~sreality-statistics/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-bebich-sreality-statistics",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/bebich~sreality-statistics/runs": {
50 "post": {
51 "operationId": "runs-sync-bebich-sreality-statistics",
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/bebich~sreality-statistics/run-sync": {
93 "post": {
94 "operationId": "run-sync-bebich-sreality-statistics",
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 "APARTMENTS",
135 "HOUSES",
136 "SELLING"
137 ],
138 "properties": {
139 "AREA": {
140 "title": "Scrape area(s)",
141 "type": "array",
142 "description": "Enter areas what to scrape: Jihočeský, Plzeňský, Karlovarský, Ústecký, Liberecký, Královéhradecký, Pardubický, Olomoucký, Zlínský, Praha, Středočeský, Moravskoslezský, Vysočina,Jihomoravský"
143 },
144 "CITY": {
145 "title": "Scrape city(s)",
146 "type": "array",
147 "description": "Enter city name: České Budějovice, Brno, Plzeň, Praha 1, Praha 2, Praha 10"
148 },
149 "APARTMENTS": {
150 "title": "Apartments",
151 "type": "boolean",
152 "description": "If checked then actor will scrape apartments offers.",
153 "default": true
154 },
155 "HOUSES": {
156 "title": "Houses",
157 "type": "boolean",
158 "description": "If checked then actor will scrape houses offers.",
159 "default": false
160 },
161 "LANDS": {
162 "title": "Lands",
163 "type": "boolean",
164 "description": "If checked then actor will scrape lands offers.",
165 "default": false
166 },
167 "SELLING": {
168 "title": "Lease(Pronajem) / Sale(Prodej)",
169 "type": "boolean",
170 "description": "Choose one: Lease(Pronajem) / Sale(Prodej)",
171 "default": true
172 },
173 "LANGUAGE_CZ": {
174 "title": "Language CZ",
175 "type": "boolean",
176 "description": "Output Language? True = CZ, False = EN",
177 "default": true
178 },
179 "DATASET_NAME": {
180 "title": "Set dataset name",
181 "type": "string",
182 "description": "All data will be saved to specific name. Only a-z A-Z 0-9 -"
183 }
184 }
185 },
186 "runsResponseSchema": {
187 "type": "object",
188 "properties": {
189 "data": {
190 "type": "object",
191 "properties": {
192 "id": {
193 "type": "string"
194 },
195 "actId": {
196 "type": "string"
197 },
198 "userId": {
199 "type": "string"
200 },
201 "startedAt": {
202 "type": "string",
203 "format": "date-time",
204 "example": "2025-01-08T00:00:00.000Z"
205 },
206 "finishedAt": {
207 "type": "string",
208 "format": "date-time",
209 "example": "2025-01-08T00:00:00.000Z"
210 },
211 "status": {
212 "type": "string",
213 "example": "READY"
214 },
215 "meta": {
216 "type": "object",
217 "properties": {
218 "origin": {
219 "type": "string",
220 "example": "API"
221 },
222 "userAgent": {
223 "type": "string"
224 }
225 }
226 },
227 "stats": {
228 "type": "object",
229 "properties": {
230 "inputBodyLen": {
231 "type": "integer",
232 "example": 2000
233 },
234 "rebootCount": {
235 "type": "integer",
236 "example": 0
237 },
238 "restartCount": {
239 "type": "integer",
240 "example": 0
241 },
242 "resurrectCount": {
243 "type": "integer",
244 "example": 0
245 },
246 "computeUnits": {
247 "type": "integer",
248 "example": 0
249 }
250 }
251 },
252 "options": {
253 "type": "object",
254 "properties": {
255 "build": {
256 "type": "string",
257 "example": "latest"
258 },
259 "timeoutSecs": {
260 "type": "integer",
261 "example": 300
262 },
263 "memoryMbytes": {
264 "type": "integer",
265 "example": 1024
266 },
267 "diskMbytes": {
268 "type": "integer",
269 "example": 2048
270 }
271 }
272 },
273 "buildId": {
274 "type": "string"
275 },
276 "defaultKeyValueStoreId": {
277 "type": "string"
278 },
279 "defaultDatasetId": {
280 "type": "string"
281 },
282 "defaultRequestQueueId": {
283 "type": "string"
284 },
285 "buildNumber": {
286 "type": "string",
287 "example": "1.0.0"
288 },
289 "containerUrl": {
290 "type": "string"
291 },
292 "usage": {
293 "type": "object",
294 "properties": {
295 "ACTOR_COMPUTE_UNITS": {
296 "type": "integer",
297 "example": 0
298 },
299 "DATASET_READS": {
300 "type": "integer",
301 "example": 0
302 },
303 "DATASET_WRITES": {
304 "type": "integer",
305 "example": 0
306 },
307 "KEY_VALUE_STORE_READS": {
308 "type": "integer",
309 "example": 0
310 },
311 "KEY_VALUE_STORE_WRITES": {
312 "type": "integer",
313 "example": 1
314 },
315 "KEY_VALUE_STORE_LISTS": {
316 "type": "integer",
317 "example": 0
318 },
319 "REQUEST_QUEUE_READS": {
320 "type": "integer",
321 "example": 0
322 },
323 "REQUEST_QUEUE_WRITES": {
324 "type": "integer",
325 "example": 0
326 },
327 "DATA_TRANSFER_INTERNAL_GBYTES": {
328 "type": "integer",
329 "example": 0
330 },
331 "DATA_TRANSFER_EXTERNAL_GBYTES": {
332 "type": "integer",
333 "example": 0
334 },
335 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
336 "type": "integer",
337 "example": 0
338 },
339 "PROXY_SERPS": {
340 "type": "integer",
341 "example": 0
342 }
343 }
344 },
345 "usageTotalUsd": {
346 "type": "number",
347 "example": 0.00005
348 },
349 "usageUsd": {
350 "type": "object",
351 "properties": {
352 "ACTOR_COMPUTE_UNITS": {
353 "type": "integer",
354 "example": 0
355 },
356 "DATASET_READS": {
357 "type": "integer",
358 "example": 0
359 },
360 "DATASET_WRITES": {
361 "type": "integer",
362 "example": 0
363 },
364 "KEY_VALUE_STORE_READS": {
365 "type": "integer",
366 "example": 0
367 },
368 "KEY_VALUE_STORE_WRITES": {
369 "type": "number",
370 "example": 0.00005
371 },
372 "KEY_VALUE_STORE_LISTS": {
373 "type": "integer",
374 "example": 0
375 },
376 "REQUEST_QUEUE_READS": {
377 "type": "integer",
378 "example": 0
379 },
380 "REQUEST_QUEUE_WRITES": {
381 "type": "integer",
382 "example": 0
383 },
384 "DATA_TRANSFER_INTERNAL_GBYTES": {
385 "type": "integer",
386 "example": 0
387 },
388 "DATA_TRANSFER_EXTERNAL_GBYTES": {
389 "type": "integer",
390 "example": 0
391 },
392 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
393 "type": "integer",
394 "example": 0
395 },
396 "PROXY_SERPS": {
397 "type": "integer",
398 "example": 0
399 }
400 }
401 }
402 }
403 }
404 }
405 }
406 }
407 }
408}
Sreality statistics 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 Sreality statistics 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:
Actor Metrics
1 monthly user
-
3 bookmarks
>99% runs succeeded
Created in Feb 2023
Modified 4 months ago