Booking Scraper
Pricing
$5.00 / 1,000 results
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Booking Scraper
voyager/booking-scraper
Scrape Booking with this hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, addresses, number of reviews, stars. You can also download all that room and hotel data from Booking.com with a few clicks: CSV, JSON, HTML, and Excel
4.4 (10)
Pricing
$5.00 / 1,000 results
66
Monthly users
295
Runs succeeded
>99%
Response time
1.3 days
Last modified
18 days ago
You can access the Booking Scraper 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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129 "components": {
130 "schemas": {
131 "inputSchema": {
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133 "properties": {
134 "search": {
135 "title": "Destination",
136 "type": "string",
137 "description": "Insert the destination name here"
138 },
139 "startUrls": {
140 "title": "Or use Start URLs instead",
141 "type": "array",
142 "description": "Insert URLs to start with instead of a destination name. Hotel search URL's filters will be applied, except for the ones in the scraper input. You can also use shared list URLs. These links are generated for properties you saved in your Booking account.",
143 "items": {
144 "type": "object",
145 "required": [
146 "url"
147 ],
148 "properties": {
149 "url": {
150 "type": "string",
151 "title": "URL of a web page",
152 "format": "uri"
153 }
154 }
155 }
156 },
157 "maxItems": {
158 "title": "Max results per destination or URL",
159 "minimum": 1,
160 "type": "integer",
161 "description": "Limit the number of places to be scraped. Input a value over `1000` to activate the 'overcome 1000 results limit' feature."
162 },
163 "propertyType": {
164 "title": "Property type",
165 "enum": [
166 "none",
167 "Hotels",
168 "Apartments",
169 "Hostels",
170 "Guest houses",
171 "Homestays",
172 "Bed and breakfasts",
173 "Holiday homes",
174 "Boats",
175 "Villas",
176 "Motels",
177 "Resorts",
178 "Holiday parks",
179 "Campsites",
180 "Luxury tents"
181 ],
182 "type": "string",
183 "description": "Choose type of property",
184 "default": "none"
185 },
186 "sortBy": {
187 "title": "Order results by",
188 "enum": [
189 "bayesian_review_score",
190 "distance_from_search",
191 "class_asc",
192 "price",
193 "review_score_and_price",
194 "class_and_price"
195 ],
196 "type": "string",
197 "description": "Hotel attribute by which the results will be ordered",
198 "default": "distance_from_search"
199 },
200 "minScore": {
201 "title": "Minimum rating",
202 "type": "string",
203 "description": "Minimum rating of a hotel in \"8.4\" format"
204 },
205 "starsCountFilter": {
206 "title": "Stars count",
207 "enum": [
208 "any",
209 "1",
210 "2",
211 "3",
212 "4",
213 "5",
214 "unrated"
215 ],
216 "type": "string",
217 "description": "Only scrape places with the selected stars count. Also includes Booking's apartment-like properties 'square' rating.",
218 "default": "any"
219 },
220 "currency": {
221 "title": "Preferred currency",
222 "enum": [
223 "ARS",
224 "AUD",
225 "AZN",
226 "BHD",
227 "BRL",
228 "BGN",
229 "CAD",
230 "XOF",
231 "CLP",
232 "CNY",
233 "COP",
234 "CZK",
235 "DKK",
236 "EGP",
237 "EUR",
238 "FJD",
239 "GEL",
240 "HKD",
241 "HUF",
242 "INR",
243 "IDR",
244 "ILS",
245 "JPY",
246 "JOD",
247 "KZT",
248 "KRW",
249 "KWD",
250 "MYR",
251 "MXN",
252 "MDL",
253 "NAD",
254 "TWD",
255 "NZD",
256 "NOK",
257 "OMR",
258 "PLN",
259 "GBP",
260 "QAR",
261 "RON",
262 "RUB",
263 "SAR",
264 "SGD",
265 "ZAR",
266 "SEK",
267 "CHF",
268 "THB",
269 "TRY",
270 "AED",
271 "USD",
272 "UAH"
273 ],
274 "type": "string",
275 "description": "Currency to be set on the website",
276 "default": "USD"
277 },
278 "language": {
279 "title": "Language",
280 "enum": [
281 "en-gb",
282 "en-us",
283 "de",
284 "nl",
285 "fr",
286 "es",
287 "es-ar",
288 "ca",
289 "it",
290 "pt-pt",
291 "pt-br",
292 "no",
293 "fi",
294 "sv",
295 "da",
296 "cs",
297 "hu",
298 "ro",
299 "ja",
300 "zh-cn",
301 "zh-tw",
302 "pl",
303 "el",
304 "ru",
305 "tr",
306 "bg",
307 "ar",
308 "ko",
309 "he",
310 "lv",
311 "uk",
312 "id",
313 "ms",
314 "th",
315 "et",
316 "hr",
317 "lt",
318 "sk",
319 "sr",
320 "sl",
321 "vi",
322 "tl",
323 "is"
324 ],
325 "type": "string",
326 "description": "Language to be set on the website (does not apply to reviews)",
327 "default": "en-gb"
328 },
329 "checkIn": {
330 "title": "Check-in date",
331 "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
332 "type": "string",
333 "description": "Select the check-in date in format YYYY-MM-DD or {number} {unit}"
334 },
335 "checkOut": {
336 "title": "Check-out date",
337 "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
338 "type": "string",
339 "description": "Select the check-out date in format YYYY-MM-DD or {number} {unit}"
340 },
341 "flexWindow": {
342 "title": "Stay date flexibility (days)",
343 "enum": [
344 "0",
345 "1",
346 "2",
347 "3",
348 "7"
349 ],
350 "type": "string",
351 "description": "Number of days to flex around the check-in and check-out dates. E.g. setting `3` will scrape hotels with a possible date range up to 3 days before and 3 days after the selected dates."
352 },
353 "rooms": {
354 "title": "Number of rooms",
355 "minimum": 1,
356 "maximum": 50,
357 "type": "integer",
358 "description": "",
359 "default": 1
360 },
361 "adults": {
362 "title": "Number of adults",
363 "minimum": 1,
364 "maximum": 50,
365 "type": "integer",
366 "description": "",
367 "default": 2
368 },
369 "children": {
370 "title": "Number of children",
371 "minimum": 0,
372 "maximum": 50,
373 "type": "integer",
374 "description": "",
375 "default": 0
376 },
377 "minMaxPrice": {
378 "title": "Price range",
379 "type": "string",
380 "description": "Insert the minimum and maximum price per night, e.g. '100-150' or '100+.'"
381 }
382 }
383 },
384 "runsResponseSchema": {
385 "type": "object",
386 "properties": {
387 "data": {
388 "type": "object",
389 "properties": {
390 "id": {
391 "type": "string"
392 },
393 "actId": {
394 "type": "string"
395 },
396 "userId": {
397 "type": "string"
398 },
399 "startedAt": {
400 "type": "string",
401 "format": "date-time",
402 "example": "2025-01-08T00:00:00.000Z"
403 },
404 "finishedAt": {
405 "type": "string",
406 "format": "date-time",
407 "example": "2025-01-08T00:00:00.000Z"
408 },
409 "status": {
410 "type": "string",
411 "example": "READY"
412 },
413 "meta": {
414 "type": "object",
415 "properties": {
416 "origin": {
417 "type": "string",
418 "example": "API"
419 },
420 "userAgent": {
421 "type": "string"
422 }
423 }
424 },
425 "stats": {
426 "type": "object",
427 "properties": {
428 "inputBodyLen": {
429 "type": "integer",
430 "example": 2000
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432 "rebootCount": {
433 "type": "integer",
434 "example": 0
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436 "restartCount": {
437 "type": "integer",
438 "example": 0
439 },
440 "resurrectCount": {
441 "type": "integer",
442 "example": 0
443 },
444 "computeUnits": {
445 "type": "integer",
446 "example": 0
447 }
448 }
449 },
450 "options": {
451 "type": "object",
452 "properties": {
453 "build": {
454 "type": "string",
455 "example": "latest"
456 },
457 "timeoutSecs": {
458 "type": "integer",
459 "example": 300
460 },
461 "memoryMbytes": {
462 "type": "integer",
463 "example": 1024
464 },
465 "diskMbytes": {
466 "type": "integer",
467 "example": 2048
468 }
469 }
470 },
471 "buildId": {
472 "type": "string"
473 },
474 "defaultKeyValueStoreId": {
475 "type": "string"
476 },
477 "defaultDatasetId": {
478 "type": "string"
479 },
480 "defaultRequestQueueId": {
481 "type": "string"
482 },
483 "buildNumber": {
484 "type": "string",
485 "example": "1.0.0"
486 },
487 "containerUrl": {
488 "type": "string"
489 },
490 "usage": {
491 "type": "object",
492 "properties": {
493 "ACTOR_COMPUTE_UNITS": {
494 "type": "integer",
495 "example": 0
496 },
497 "DATASET_READS": {
498 "type": "integer",
499 "example": 0
500 },
501 "DATASET_WRITES": {
502 "type": "integer",
503 "example": 0
504 },
505 "KEY_VALUE_STORE_READS": {
506 "type": "integer",
507 "example": 0
508 },
509 "KEY_VALUE_STORE_WRITES": {
510 "type": "integer",
511 "example": 1
512 },
513 "KEY_VALUE_STORE_LISTS": {
514 "type": "integer",
515 "example": 0
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517 "REQUEST_QUEUE_READS": {
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520 },
521 "REQUEST_QUEUE_WRITES": {
522 "type": "integer",
523 "example": 0
524 },
525 "DATA_TRANSFER_INTERNAL_GBYTES": {
526 "type": "integer",
527 "example": 0
528 },
529 "DATA_TRANSFER_EXTERNAL_GBYTES": {
530 "type": "integer",
531 "example": 0
532 },
533 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
534 "type": "integer",
535 "example": 0
536 },
537 "PROXY_SERPS": {
538 "type": "integer",
539 "example": 0
540 }
541 }
542 },
543 "usageTotalUsd": {
544 "type": "number",
545 "example": 0.00005
546 },
547 "usageUsd": {
548 "type": "object",
549 "properties": {
550 "ACTOR_COMPUTE_UNITS": {
551 "type": "integer",
552 "example": 0
553 },
554 "DATASET_READS": {
555 "type": "integer",
556 "example": 0
557 },
558 "DATASET_WRITES": {
559 "type": "integer",
560 "example": 0
561 },
562 "KEY_VALUE_STORE_READS": {
563 "type": "integer",
564 "example": 0
565 },
566 "KEY_VALUE_STORE_WRITES": {
567 "type": "number",
568 "example": 0.00005
569 },
570 "KEY_VALUE_STORE_LISTS": {
571 "type": "integer",
572 "example": 0
573 },
574 "REQUEST_QUEUE_READS": {
575 "type": "integer",
576 "example": 0
577 },
578 "REQUEST_QUEUE_WRITES": {
579 "type": "integer",
580 "example": 0
581 },
582 "DATA_TRANSFER_INTERNAL_GBYTES": {
583 "type": "integer",
584 "example": 0
585 },
586 "DATA_TRANSFER_EXTERNAL_GBYTES": {
587 "type": "integer",
588 "example": 0
589 },
590 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
591 "type": "integer",
592 "example": 0
593 },
594 "PROXY_SERPS": {
595 "type": "integer",
596 "example": 0
597 }
598 }
599 }
600 }
601 }
602 }
603 }
604 }
605 }
606}🛎 Booking hotel 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 Booking 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:
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
$5.00
