
Sreality scraper
$15.00/month
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative Actors
Sreality scraper
$15.00/month
Fast and efficient sreality.cz actor. The script get all offers (according to the selected input). Needed only 256-512 MB RAM.
You can access the Sreality scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "nNhuRSF63hIbzQ1Gh"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/bebich~sreality-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-bebich-sreality-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/bebich~sreality-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-bebich-sreality-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/bebich~sreality-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-bebich-sreality-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 "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. Choose only one!",
151 "type": "boolean",
152 "description": "If checked then actors scrape apartments. Because different number of columns choose only one!",
153 "default": false
154 },
155 "HOUSES": {
156 "title": "Houses. Choose only one!",
157 "type": "boolean",
158 "description": "If checked then actors scrape houses. Because different number of columns choose only one!",
159 "default": false
160 },
161 "LANDS": {
162 "title": "Lands. Choose only one!",
163 "type": "boolean",
164 "description": "If checked then actors scrape lands. Because different number of columns choose only one!",
165 "default": true
166 },
167 "SELLING": {
168 "title": "Lease / Sell",
169 "type": "boolean",
170 "description": "If checked then selling otherwise renting",
171 "default": true
172 },
173 "DATASET_NAME": {
174 "title": "Set dataset name",
175 "type": "string",
176 "description": "All data will be saved to specific name. Only [A-Z] [a-z] [0-9] [-]"
177 },
178 "LANGUAGE_CZ": {
179 "title": "Dataset in CZ language",
180 "type": "boolean",
181 "description": "Language? True = CZ, False = EN",
182 "default": false
183 },
184 "DROP_DATASET": {
185 "title": "Drop dataset",
186 "type": "boolean",
187 "description": "Drop dataset name before start of scraper. Works only if name in DATASET_NAME",
188 "default": false
189 },
190 "SAVE_ALL_TEXTS": {
191 "title": "Save all texts from ADs",
192 "type": "boolean",
193 "description": "Experimental - it will save all texts from houses/apartments. It take much more time",
194 "default": false
195 }
196 }
197 },
198 "runsResponseSchema": {
199 "type": "object",
200 "properties": {
201 "data": {
202 "type": "object",
203 "properties": {
204 "id": {
205 "type": "string"
206 },
207 "actId": {
208 "type": "string"
209 },
210 "userId": {
211 "type": "string"
212 },
213 "startedAt": {
214 "type": "string",
215 "format": "date-time",
216 "example": "2025-01-08T00:00:00.000Z"
217 },
218 "finishedAt": {
219 "type": "string",
220 "format": "date-time",
221 "example": "2025-01-08T00:00:00.000Z"
222 },
223 "status": {
224 "type": "string",
225 "example": "READY"
226 },
227 "meta": {
228 "type": "object",
229 "properties": {
230 "origin": {
231 "type": "string",
232 "example": "API"
233 },
234 "userAgent": {
235 "type": "string"
236 }
237 }
238 },
239 "stats": {
240 "type": "object",
241 "properties": {
242 "inputBodyLen": {
243 "type": "integer",
244 "example": 2000
245 },
246 "rebootCount": {
247 "type": "integer",
248 "example": 0
249 },
250 "restartCount": {
251 "type": "integer",
252 "example": 0
253 },
254 "resurrectCount": {
255 "type": "integer",
256 "example": 0
257 },
258 "computeUnits": {
259 "type": "integer",
260 "example": 0
261 }
262 }
263 },
264 "options": {
265 "type": "object",
266 "properties": {
267 "build": {
268 "type": "string",
269 "example": "latest"
270 },
271 "timeoutSecs": {
272 "type": "integer",
273 "example": 300
274 },
275 "memoryMbytes": {
276 "type": "integer",
277 "example": 1024
278 },
279 "diskMbytes": {
280 "type": "integer",
281 "example": 2048
282 }
283 }
284 },
285 "buildId": {
286 "type": "string"
287 },
288 "defaultKeyValueStoreId": {
289 "type": "string"
290 },
291 "defaultDatasetId": {
292 "type": "string"
293 },
294 "defaultRequestQueueId": {
295 "type": "string"
296 },
297 "buildNumber": {
298 "type": "string",
299 "example": "1.0.0"
300 },
301 "containerUrl": {
302 "type": "string"
303 },
304 "usage": {
305 "type": "object",
306 "properties": {
307 "ACTOR_COMPUTE_UNITS": {
308 "type": "integer",
309 "example": 0
310 },
311 "DATASET_READS": {
312 "type": "integer",
313 "example": 0
314 },
315 "DATASET_WRITES": {
316 "type": "integer",
317 "example": 0
318 },
319 "KEY_VALUE_STORE_READS": {
320 "type": "integer",
321 "example": 0
322 },
323 "KEY_VALUE_STORE_WRITES": {
324 "type": "integer",
325 "example": 1
326 },
327 "KEY_VALUE_STORE_LISTS": {
328 "type": "integer",
329 "example": 0
330 },
331 "REQUEST_QUEUE_READS": {
332 "type": "integer",
333 "example": 0
334 },
335 "REQUEST_QUEUE_WRITES": {
336 "type": "integer",
337 "example": 0
338 },
339 "DATA_TRANSFER_INTERNAL_GBYTES": {
340 "type": "integer",
341 "example": 0
342 },
343 "DATA_TRANSFER_EXTERNAL_GBYTES": {
344 "type": "integer",
345 "example": 0
346 },
347 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
348 "type": "integer",
349 "example": 0
350 },
351 "PROXY_SERPS": {
352 "type": "integer",
353 "example": 0
354 }
355 }
356 },
357 "usageTotalUsd": {
358 "type": "number",
359 "example": 0.00005
360 },
361 "usageUsd": {
362 "type": "object",
363 "properties": {
364 "ACTOR_COMPUTE_UNITS": {
365 "type": "integer",
366 "example": 0
367 },
368 "DATASET_READS": {
369 "type": "integer",
370 "example": 0
371 },
372 "DATASET_WRITES": {
373 "type": "integer",
374 "example": 0
375 },
376 "KEY_VALUE_STORE_READS": {
377 "type": "integer",
378 "example": 0
379 },
380 "KEY_VALUE_STORE_WRITES": {
381 "type": "number",
382 "example": 0.00005
383 },
384 "KEY_VALUE_STORE_LISTS": {
385 "type": "integer",
386 "example": 0
387 },
388 "REQUEST_QUEUE_READS": {
389 "type": "integer",
390 "example": 0
391 },
392 "REQUEST_QUEUE_WRITES": {
393 "type": "integer",
394 "example": 0
395 },
396 "DATA_TRANSFER_INTERNAL_GBYTES": {
397 "type": "integer",
398 "example": 0
399 },
400 "DATA_TRANSFER_EXTERNAL_GBYTES": {
401 "type": "integer",
402 "example": 0
403 },
404 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
405 "type": "integer",
406 "example": 0
407 },
408 "PROXY_SERPS": {
409 "type": "integer",
410 "example": 0
411 }
412 }
413 }
414 }
415 }
416 }
417 }
418 }
419 }
420}
Sreality 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 Sreality scraper 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
2 monthly users
-
4 bookmarks
>99% runs succeeded
Created in May 2023
Modified 3 months ago