
Ingresse-Brazil-Tickets
Under maintenance
Pricing
$100.00 / 1,000 events

Ingresse-Brazil-Tickets
Under maintenance
Find details about tickets from public data from ingresse.com
0.0 (0)
Pricing
$100.00 / 1,000 events
0
Monthly users
1
Last modified
6 days ago
You can access the Ingresse-Brazil-Tickets programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "sK7oaxxgyZ1OSdJj6"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/aiteks.ltda~ingresse-brazil-tickets/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-aiteks.ltda-ingresse-brazil-tickets",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/aiteks.ltda~ingresse-brazil-tickets/runs": {
50 "post": {
51 "operationId": "runs-sync-aiteks.ltda-ingresse-brazil-tickets",
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/aiteks.ltda~ingresse-brazil-tickets/run-sync": {
93 "post": {
94 "operationId": "run-sync-aiteks.ltda-ingresse-brazil-tickets",
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 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "state_code"
135 ],
136 "properties": {
137 "state_code": {
138 "title": "State Code",
139 "type": "string",
140 "description": "Two-letter state code (e.g., RJ, SP, MG) to search for events."
141 },
142 "use_date_range": {
143 "title": "Use date range",
144 "type": "boolean",
145 "description": "Whether to filter events by date range.",
146 "default": true
147 },
148 "start_date": {
149 "title": "Start date",
150 "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
151 "type": "string",
152 "description": "Start date in YYYY-MM-DD format (defaults to today if date range is enabled)."
153 },
154 "end_date": {
155 "title": "End date",
156 "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
157 "type": "string",
158 "description": "End date in YYYY-MM-DD format (defaults to 30 days from start date if date range is enabled)."
159 },
160 "fetch_details": {
161 "title": "Fetch detailed information",
162 "type": "boolean",
163 "description": "Whether to fetch detailed information (like description, categories) for events.",
164 "default": true
165 },
166 "max_events": {
167 "title": "Maximum events to fetch",
168 "minimum": 1,
169 "type": "integer",
170 "description": "Maximum total number of events to retrieve from the list.",
171 "default": 100
172 },
173 "max_events_for_details": {
174 "title": "Maximum events for details",
175 "minimum": 1,
176 "type": "integer",
177 "description": "Maximum number of events to fetch detailed information for (if details enabled).",
178 "default": 50
179 },
180 "request_delay": {
181 "title": "List Request delay (seconds)",
182 "minimum": 0,
183 "maximum": 10,
184 "type": "integer",
185 "description": "Delay between list page requests in seconds.",
186 "default": 1
187 },
188 "detail_request_delay": {
189 "title": "Detail request delay (milliseconds)",
190 "minimum": 100,
191 "maximum": 5000,
192 "type": "integer",
193 "description": "Delay between detail page requests in milliseconds.",
194 "default": 500
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}
Ingresse-Brazil-Tickets 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 Ingresse-Brazil-Tickets 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:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$100.00