
Expedia & Hotels.com reviews scraper
Pay $1.00 for 1,000 Reviews

Expedia & Hotels.com reviews scraper
Pay $1.00 for 1,000 Reviews
Scraper to get reviews from URLs of hotels, apartments and other accommodations listed on Expedia.com and Hotels.com portals
You can access the Expedia & Hotels.com reviews scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "YTzzWHHuogGPIJxNH"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/tri_angle~expedia-hotels-com-reviews-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-tri_angle-expedia-hotels-com-reviews-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/tri_angle~expedia-hotels-com-reviews-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-tri_angle-expedia-hotels-com-reviews-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/tri_angle~expedia-hotels-com-reviews-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-tri_angle-expedia-hotels-com-reviews-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 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "startUrls"
135 ],
136 "properties": {
137 "startUrls": {
138 "title": "Expedia or Hotels.com URLs",
139 "type": "array",
140 "description": "URLs of hotels to scrape reviews from. If you add any userData, it will be included in each review for given hotel under the key `customData`",
141 "items": {
142 "type": "object",
143 "required": [
144 "url"
145 ],
146 "properties": {
147 "url": {
148 "type": "string",
149 "title": "URL of a web page",
150 "format": "uri"
151 }
152 }
153 }
154 },
155 "maxReviewsPerHotel": {
156 "title": "Maximum reviews per hotel",
157 "minimum": 1,
158 "type": "integer",
159 "description": "Maximum number of reviews to scrape per hotel. If you keep it empty, there will be no limit"
160 },
161 "sortBy": {
162 "title": "Sort by (see note)",
163 "enum": [
164 "Most relevant",
165 "Most recent",
166 "Highest guest rating",
167 "Lowest guest rating"
168 ],
169 "type": "string",
170 "description": "Note: this will not affect the order of reviews in the dataset, since review items are scraped in parallel, so later pages might finish before previous ones. However, it helps in the case you are limiting maximum number of reviews per hotel.",
171 "default": "Most relevant"
172 },
173 "minDate": {
174 "title": "Only reviews after [YYYY-MM-DD]",
175 "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
176 "type": "string",
177 "description": "Scrape only reviews after this date. Use format YEAR-MONTH-DAY, e.g. 2019-01-25. Ignored when using any other sorting than Most recent",
178 "default": "1990-01-01"
179 }
180 }
181 },
182 "runsResponseSchema": {
183 "type": "object",
184 "properties": {
185 "data": {
186 "type": "object",
187 "properties": {
188 "id": {
189 "type": "string"
190 },
191 "actId": {
192 "type": "string"
193 },
194 "userId": {
195 "type": "string"
196 },
197 "startedAt": {
198 "type": "string",
199 "format": "date-time",
200 "example": "2025-01-08T00:00:00.000Z"
201 },
202 "finishedAt": {
203 "type": "string",
204 "format": "date-time",
205 "example": "2025-01-08T00:00:00.000Z"
206 },
207 "status": {
208 "type": "string",
209 "example": "READY"
210 },
211 "meta": {
212 "type": "object",
213 "properties": {
214 "origin": {
215 "type": "string",
216 "example": "API"
217 },
218 "userAgent": {
219 "type": "string"
220 }
221 }
222 },
223 "stats": {
224 "type": "object",
225 "properties": {
226 "inputBodyLen": {
227 "type": "integer",
228 "example": 2000
229 },
230 "rebootCount": {
231 "type": "integer",
232 "example": 0
233 },
234 "restartCount": {
235 "type": "integer",
236 "example": 0
237 },
238 "resurrectCount": {
239 "type": "integer",
240 "example": 0
241 },
242 "computeUnits": {
243 "type": "integer",
244 "example": 0
245 }
246 }
247 },
248 "options": {
249 "type": "object",
250 "properties": {
251 "build": {
252 "type": "string",
253 "example": "latest"
254 },
255 "timeoutSecs": {
256 "type": "integer",
257 "example": 300
258 },
259 "memoryMbytes": {
260 "type": "integer",
261 "example": 1024
262 },
263 "diskMbytes": {
264 "type": "integer",
265 "example": 2048
266 }
267 }
268 },
269 "buildId": {
270 "type": "string"
271 },
272 "defaultKeyValueStoreId": {
273 "type": "string"
274 },
275 "defaultDatasetId": {
276 "type": "string"
277 },
278 "defaultRequestQueueId": {
279 "type": "string"
280 },
281 "buildNumber": {
282 "type": "string",
283 "example": "1.0.0"
284 },
285 "containerUrl": {
286 "type": "string"
287 },
288 "usage": {
289 "type": "object",
290 "properties": {
291 "ACTOR_COMPUTE_UNITS": {
292 "type": "integer",
293 "example": 0
294 },
295 "DATASET_READS": {
296 "type": "integer",
297 "example": 0
298 },
299 "DATASET_WRITES": {
300 "type": "integer",
301 "example": 0
302 },
303 "KEY_VALUE_STORE_READS": {
304 "type": "integer",
305 "example": 0
306 },
307 "KEY_VALUE_STORE_WRITES": {
308 "type": "integer",
309 "example": 1
310 },
311 "KEY_VALUE_STORE_LISTS": {
312 "type": "integer",
313 "example": 0
314 },
315 "REQUEST_QUEUE_READS": {
316 "type": "integer",
317 "example": 0
318 },
319 "REQUEST_QUEUE_WRITES": {
320 "type": "integer",
321 "example": 0
322 },
323 "DATA_TRANSFER_INTERNAL_GBYTES": {
324 "type": "integer",
325 "example": 0
326 },
327 "DATA_TRANSFER_EXTERNAL_GBYTES": {
328 "type": "integer",
329 "example": 0
330 },
331 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
332 "type": "integer",
333 "example": 0
334 },
335 "PROXY_SERPS": {
336 "type": "integer",
337 "example": 0
338 }
339 }
340 },
341 "usageTotalUsd": {
342 "type": "number",
343 "example": 0.00005
344 },
345 "usageUsd": {
346 "type": "object",
347 "properties": {
348 "ACTOR_COMPUTE_UNITS": {
349 "type": "integer",
350 "example": 0
351 },
352 "DATASET_READS": {
353 "type": "integer",
354 "example": 0
355 },
356 "DATASET_WRITES": {
357 "type": "integer",
358 "example": 0
359 },
360 "KEY_VALUE_STORE_READS": {
361 "type": "integer",
362 "example": 0
363 },
364 "KEY_VALUE_STORE_WRITES": {
365 "type": "number",
366 "example": 0.00005
367 },
368 "KEY_VALUE_STORE_LISTS": {
369 "type": "integer",
370 "example": 0
371 },
372 "REQUEST_QUEUE_READS": {
373 "type": "integer",
374 "example": 0
375 },
376 "REQUEST_QUEUE_WRITES": {
377 "type": "integer",
378 "example": 0
379 },
380 "DATA_TRANSFER_INTERNAL_GBYTES": {
381 "type": "integer",
382 "example": 0
383 },
384 "DATA_TRANSFER_EXTERNAL_GBYTES": {
385 "type": "integer",
386 "example": 0
387 },
388 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
389 "type": "integer",
390 "example": 0
391 },
392 "PROXY_SERPS": {
393 "type": "integer",
394 "example": 0
395 }
396 }
397 }
398 }
399 }
400 }
401 }
402 }
403 }
404}
Expedia & Hotels.com reviews 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 Expedia & Hotels.com reviews 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: