KAYAK Flight Scanner
Pricing
$30.00/month + usage
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KAYAK Flight Scanner
💫 Scrape flight data from Kayak.com
0.0 (0)
Pricing
$30.00/month + usage
0
Monthly users
1
Runs succeeded
>99%
Last modified
3 days ago
You can access the KAYAK Flight Scanner 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.
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135 "title": "🌐 Market",
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138 "AL",
139 "DZ",
140 "AS",
141 "AD",
142 "AO",
143 "AI",
144 "AG",
145 "AR",
146 "AM",
147 "AW",
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152 "BH",
153 "BD",
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155 "BY",
156 "BE",
157 "BZ",
158 "BJ",
159 "BM",
160 "BT",
161 "BO",
162 "BA",
163 "BW",
164 "BR",
165 "VG",
166 "BN",
167 "BG",
168 "BF",
169 "BI",
170 "KH",
171 "CM",
172 "CA",
173 "CV",
174 "KY",
175 "CF",
176 "TD",
177 "CL",
178 "CN",
179 "CX",
180 "CC",
181 "CO",
182 "KM",
183 "CG",
184 "CK",
185 "CR",
186 "HR",
187 "CU",
188 "CY",
189 "CZ",
190 "DK",
191 "DJ",
192 "DM",
193 "DO",
194 "CD",
195 "EC",
196 "EG",
197 "SV",
198 "GQ",
199 "ER",
200 "EE",
201 "SZ",
202 "ET",
203 "FK",
204 "FO",
205 "FJ",
206 "FI",
207 "FR",
208 "GF",
209 "PF",
210 "GA",
211 "GM",
212 "GE",
213 "DE",
214 "GH",
215 "GI",
216 "GR",
217 "GL",
218 "GD",
219 "GP",
220 "GU",
221 "GT",
222 "GG",
223 "GN",
224 "GW",
225 "GY",
226 "HT",
227 "HN",
228 "HK",
229 "HU",
230 "IS",
231 "IN",
232 "ID",
233 "IR",
234 "IQ",
235 "IE",
236 "IL",
237 "IT",
238 "CI",
239 "JM",
240 "JP",
241 "JO",
242 "KZ",
243 "KE",
244 "KI",
245 "KW",
246 "KG",
247 "LA",
248 "LV",
249 "LB",
250 "LS",
251 "LR",
252 "LY",
253 "LI",
254 "LT",
255 "LU",
256 "MO",
257 "MG",
258 "MW",
259 "MY",
260 "MV",
261 "ML",
262 "MT",
263 "MH",
264 "MQ",
265 "MR",
266 "MU",
267 "YT",
268 "MX",
269 "FM",
270 "MD",
271 "MC",
272 "MN",
273 "ME",
274 "MS",
275 "MA",
276 "MZ",
277 "MM",
278 "NA",
279 "NR",
280 "NP",
281 "NL",
282 "NC",
283 "NZ",
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286 "NG",
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288 "KP",
289 "MK",
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292 "OM",
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295 "PS",
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300 "PH",
301 "PL",
302 "PT",
303 "PR",
304 "QA",
305 "RE",
306 "RO",
307 "RU",
308 "RW",
309 "KN",
310 "LC",
311 "VC",
312 "WS",
313 "ST",
314 "SA",
315 "SN",
316 "RS",
317 "SC",
318 "SL",
319 "SG",
320 "SK",
321 "SI",
322 "SB",
323 "SO",
324 "ZA",
325 "GS",
326 "KR",
327 "ES",
328 "LK",
329 "SH",
330 "PM",
331 "SD",
332 "SR",
333 "SE",
334 "CH",
335 "SY",
336 "TW",
337 "TJ",
338 "TZ",
339 "TH",
340 "TG",
341 "TO",
342 "TT",
343 "TN",
344 "TR",
345 "TM",
346 "TC",
347 "TV",
348 "UG",
349 "UA",
350 "AE",
351 "UK",
352 "US",
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357 "VA",
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372 "GBP",
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374 "AED",
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377 "AMD",
378 "ANG",
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408 "CVE",
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415 "ERN",
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419 "GHS",
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425 "HKD",
426 "HNL",
427 "HRK",
428 "HTG",
429 "HUF",
430 "IDR",
431 "ILS",
432 "INR",
433 "IQD",
434 "IRR",
435 "ISK",
436 "JMD",
437 "JOD",
438 "JPY",
439 "KES",
440 "KGS",
441 "KHR",
442 "KMF",
443 "KPW",
444 "KRW",
445 "KWD",
446 "KYD",
447 "KZT",
448 "LAK",
449 "LBP",
450 "LKR",
451 "LRD",
452 "LSL",
453 "LYD",
454 "MAD",
455 "MDL",
456 "MGA",
457 "MKD",
458 "MMK",
459 "MNT",
460 "MOP",
461 "MRO",
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463 "MVR",
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466 "MYR",
467 "MZN",
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471 "NOK",
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476 "PEN",
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482 "QAR",
483 "RON",
484 "RSD",
485 "RUB",
486 "RWF",
487 "SAR",
488 "SBD",
489 "SCR",
490 "SDG",
491 "SEK",
492 "SGD",
493 "SHP",
494 "SLL",
495 "SOS",
496 "SRD",
497 "STD",
498 "SYP",
499 "SZL",
500 "THB",
501 "TJS",
502 "TMT",
503 "TND",
504 "TOP",
505 "TRY",
506 "TTD",
507 "TWD",
508 "TZS",
509 "UAH",
510 "UGX",
511 "UYU",
512 "UZS",
513 "VND",
514 "VUV",
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528 "title": "Limit",
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530 "description": "Number of results"
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532 "sort": {
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536 "earliest_depart",
537 "latest_depart",
538 "earliest_arrive",
539 "latest_arrive",
540 "high_price",
541 "low_price",
542 "slowest",
543 "quickest"
544 ],
545 "type": "string",
546 "description": ""
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548 "filters.non_stop": {
549 "title": "Non-stop",
550 "type": "boolean",
551 "description": ""
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553 "filters.one_stop": {
554 "title": "1 Stop",
555 "type": "boolean",
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558 "filters.two_stop": {
559 "title": "2+ Stops",
560 "type": "boolean",
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563 "filters.adults": {
564 "title": "Adults",
565 "type": "integer",
566 "description": "💡 Number of adults "
567 },
568 "filters.students": {
569 "title": "Students",
570 "type": "integer",
571 "description": "💡 Number of students "
572 },
573 "filters.seniors": {
574 "title": "Seniors",
575 "type": "integer",
576 "description": "💡 Number of seniors "
577 },
578 "filters.youths": {
579 "title": "Youths",
580 "type": "integer",
581 "description": "💡 Number of youths "
582 },
583 "filters.children": {
584 "title": "Children",
585 "type": "integer",
586 "description": "💡 Number of children"
587 },
588 "filters.toddlers": {
589 "title": "Toddlers",
590 "type": "integer",
591 "description": "💡 Number of toddlers"
592 },
593 "filters.infants": {
594 "title": "Infants",
595 "type": "integer",
596 "description": "💡 Number of infants"
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685 },
686 "depart.3": {
687 "title": "Date",
688 "type": "string",
689 "description": "Departure (YYYY-MM-DD)"
690 },
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692 "title": "Cabin Class",
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695 "premium",
696 "business",
697 "first"
698 ],
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706 },
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711 },
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715 "description": "Departure (YYYY-MM-DD)"
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726 "description": ""
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732 },
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738 "depart.5": {
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740 "type": "string",
741 "description": "Departure (YYYY-MM-DD)"
742 },
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747 "premium",
748 "business",
749 "first"
750 ],
751 "type": "string",
752 "description": ""
753 },
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758 },
759 "dev_custom_headers": {
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761 "type": "array",
762 "description": "💡 Additional HTTP Headers",
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773 },
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832 "type": "boolean",
833 "description": "Clear Dataset before insert/update."
834 },
835 "dev_no_strip": {
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837 "type": "boolean",
838 "description": "💡 Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
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840 }
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932 "defaultKeyValueStoreId": {
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935 "defaultDatasetId": {
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937 },
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1005 "usageUsd": {
1006 "type": "object",
1007 "properties": {
1008 "ACTOR_COMPUTE_UNITS": {
1009 "type": "integer",
1010 "example": 0
1011 },
1012 "DATASET_READS": {
1013 "type": "integer",
1014 "example": 0
1015 },
1016 "DATASET_WRITES": {
1017 "type": "integer",
1018 "example": 0
1019 },
1020 "KEY_VALUE_STORE_READS": {
1021 "type": "integer",
1022 "example": 0
1023 },
1024 "KEY_VALUE_STORE_WRITES": {
1025 "type": "number",
1026 "example": 0.00005
1027 },
1028 "KEY_VALUE_STORE_LISTS": {
1029 "type": "integer",
1030 "example": 0
1031 },
1032 "REQUEST_QUEUE_READS": {
1033 "type": "integer",
1034 "example": 0
1035 },
1036 "REQUEST_QUEUE_WRITES": {
1037 "type": "integer",
1038 "example": 0
1039 },
1040 "DATA_TRANSFER_INTERNAL_GBYTES": {
1041 "type": "integer",
1042 "example": 0
1043 },
1044 "DATA_TRANSFER_EXTERNAL_GBYTES": {
1045 "type": "integer",
1046 "example": 0
1047 },
1048 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
1049 "type": "integer",
1050 "example": 0
1051 },
1052 "PROXY_SERPS": {
1053 "type": "integer",
1054 "example": 0
1055 }
1056 }
1057 }
1058 }
1059 }
1060 }
1061 }
1062 }
1063 }
1064}KAYAK Flight Scanner 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 KAYAK Flight Scanner 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
RentalTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
3 days
Price
$30.00
