AI Travel Agent
Pricing
Pay per event
Go to Store
AI Travel Agent
louisdeconinck/ai-travel-agent
Intelligent travel planning assistant powered by AI that creates personalized travel plans using Apify and Google's Gemini model.
5.0 (1)
Pricing
Pay per event
1
Monthly users
3
Runs succeeded
>99%
Last modified
17 days ago
You can access the AI Travel Agent 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": "jTRzBNLcJf5OlaU9t"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/louisdeconinck~ai-travel-agent/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-louisdeconinck-ai-travel-agent",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/louisdeconinck~ai-travel-agent/runs": {
50 "post": {
51 "operationId": "runs-sync-louisdeconinck-ai-travel-agent",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/louisdeconinck~ai-travel-agent/run-sync": {
93 "post": {
94 "operationId": "run-sync-louisdeconinck-ai-travel-agent",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "location"
135 ],
136 "properties": {
137 "location": {
138 "title": "Location",
139 "type": "string",
140 "description": "Destination for your travel plan."
141 },
142 "start_date": {
143 "title": "Start Date",
144 "type": "string",
145 "description": "The start date of your trip in YYYY-MM-DD format."
146 },
147 "end_date": {
148 "title": "End Date",
149 "type": "string",
150 "description": "The end date of your trip in YYYY-MM-DD format."
151 },
152 "budget": {
153 "title": "Budget",
154 "type": "integer",
155 "description": "Your total budget for the trip."
156 },
157 "people": {
158 "title": "Number of People",
159 "type": "integer",
160 "description": "Number of people traveling.",
161 "default": 2
162 },
163 "notes": {
164 "title": "Special Notes",
165 "type": "string",
166 "description": "Any special requests or preferences for your trip."
167 }
168 }
169 },
170 "runsResponseSchema": {
171 "type": "object",
172 "properties": {
173 "data": {
174 "type": "object",
175 "properties": {
176 "id": {
177 "type": "string"
178 },
179 "actId": {
180 "type": "string"
181 },
182 "userId": {
183 "type": "string"
184 },
185 "startedAt": {
186 "type": "string",
187 "format": "date-time",
188 "example": "2025-01-08T00:00:00.000Z"
189 },
190 "finishedAt": {
191 "type": "string",
192 "format": "date-time",
193 "example": "2025-01-08T00:00:00.000Z"
194 },
195 "status": {
196 "type": "string",
197 "example": "READY"
198 },
199 "meta": {
200 "type": "object",
201 "properties": {
202 "origin": {
203 "type": "string",
204 "example": "API"
205 },
206 "userAgent": {
207 "type": "string"
208 }
209 }
210 },
211 "stats": {
212 "type": "object",
213 "properties": {
214 "inputBodyLen": {
215 "type": "integer",
216 "example": 2000
217 },
218 "rebootCount": {
219 "type": "integer",
220 "example": 0
221 },
222 "restartCount": {
223 "type": "integer",
224 "example": 0
225 },
226 "resurrectCount": {
227 "type": "integer",
228 "example": 0
229 },
230 "computeUnits": {
231 "type": "integer",
232 "example": 0
233 }
234 }
235 },
236 "options": {
237 "type": "object",
238 "properties": {
239 "build": {
240 "type": "string",
241 "example": "latest"
242 },
243 "timeoutSecs": {
244 "type": "integer",
245 "example": 300
246 },
247 "memoryMbytes": {
248 "type": "integer",
249 "example": 1024
250 },
251 "diskMbytes": {
252 "type": "integer",
253 "example": 2048
254 }
255 }
256 },
257 "buildId": {
258 "type": "string"
259 },
260 "defaultKeyValueStoreId": {
261 "type": "string"
262 },
263 "defaultDatasetId": {
264 "type": "string"
265 },
266 "defaultRequestQueueId": {
267 "type": "string"
268 },
269 "buildNumber": {
270 "type": "string",
271 "example": "1.0.0"
272 },
273 "containerUrl": {
274 "type": "string"
275 },
276 "usage": {
277 "type": "object",
278 "properties": {
279 "ACTOR_COMPUTE_UNITS": {
280 "type": "integer",
281 "example": 0
282 },
283 "DATASET_READS": {
284 "type": "integer",
285 "example": 0
286 },
287 "DATASET_WRITES": {
288 "type": "integer",
289 "example": 0
290 },
291 "KEY_VALUE_STORE_READS": {
292 "type": "integer",
293 "example": 0
294 },
295 "KEY_VALUE_STORE_WRITES": {
296 "type": "integer",
297 "example": 1
298 },
299 "KEY_VALUE_STORE_LISTS": {
300 "type": "integer",
301 "example": 0
302 },
303 "REQUEST_QUEUE_READS": {
304 "type": "integer",
305 "example": 0
306 },
307 "REQUEST_QUEUE_WRITES": {
308 "type": "integer",
309 "example": 0
310 },
311 "DATA_TRANSFER_INTERNAL_GBYTES": {
312 "type": "integer",
313 "example": 0
314 },
315 "DATA_TRANSFER_EXTERNAL_GBYTES": {
316 "type": "integer",
317 "example": 0
318 },
319 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
320 "type": "integer",
321 "example": 0
322 },
323 "PROXY_SERPS": {
324 "type": "integer",
325 "example": 0
326 }
327 }
328 },
329 "usageTotalUsd": {
330 "type": "number",
331 "example": 0.00005
332 },
333 "usageUsd": {
334 "type": "object",
335 "properties": {
336 "ACTOR_COMPUTE_UNITS": {
337 "type": "integer",
338 "example": 0
339 },
340 "DATASET_READS": {
341 "type": "integer",
342 "example": 0
343 },
344 "DATASET_WRITES": {
345 "type": "integer",
346 "example": 0
347 },
348 "KEY_VALUE_STORE_READS": {
349 "type": "integer",
350 "example": 0
351 },
352 "KEY_VALUE_STORE_WRITES": {
353 "type": "number",
354 "example": 0.00005
355 },
356 "KEY_VALUE_STORE_LISTS": {
357 "type": "integer",
358 "example": 0
359 },
360 "REQUEST_QUEUE_READS": {
361 "type": "integer",
362 "example": 0
363 },
364 "REQUEST_QUEUE_WRITES": {
365 "type": "integer",
366 "example": 0
367 },
368 "DATA_TRANSFER_INTERNAL_GBYTES": {
369 "type": "integer",
370 "example": 0
371 },
372 "DATA_TRANSFER_EXTERNAL_GBYTES": {
373 "type": "integer",
374 "example": 0
375 },
376 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
377 "type": "integer",
378 "example": 0
379 },
380 "PROXY_SERPS": {
381 "type": "integer",
382 "example": 0
383 }
384 }
385 }
386 }
387 }
388 }
389 }
390 }
391 }
392}AI Travel Agent 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 Travel Agent 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 eventThis 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.
Actor Start
$0.100
Cost per travel report
Tool Result
$0.010
Cost for each hotel, restaurant and activity analyzed
1k LLM tokens
$0.001
Cost per 1,000 LLM tokens used
