Google Maps Reviews Scraper
Pricing
$0.50 / 1,000 reviews
Go to Store
Google Maps Reviews Scraper
Extract all reviews of Google Maps places using place URLs. Get review text, published date, response from owner, review URL, and reviewer's details. Download scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
4.7 (26)
Pricing
$0.50 / 1,000 reviews
234
Monthly users
1.8k
Runs succeeded
>99%
Response time
9.7 days
Last modified
9 hours ago
You can access the Google Maps Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "p3fJZbagL8yLtbxor"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/compass~google-maps-reviews-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-compass-google-maps-reviews-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/compass~google-maps-reviews-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-compass-google-maps-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/compass~google-maps-reviews-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-compass-google-maps-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 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "properties": {
134 "startUrls": {
135 "title": "Google Maps place URLs",
136 "type": "array",
137 "description": "List of URLs to be crawled. They can be search URLs, place URLs or review detail URLs. Valid Google Maps place URLs must contain one of the following subpaths: <code>/maps/search</code>, <code>/maps/place</code> or <code>/maps/reviews</code>.",
138 "items": {
139 "type": "object",
140 "required": [
141 "url"
142 ],
143 "properties": {
144 "url": {
145 "type": "string",
146 "title": "URL of a web page",
147 "format": "uri"
148 }
149 }
150 }
151 },
152 "placeIds": {
153 "title": "🗃 Place IDs",
154 "type": "array",
155 "description": "List of place IDs. You can add place IDs one by one or upload a list using the <strong>Bulk edit</strong> option.",
156 "items": {
157 "type": "string"
158 }
159 },
160 "maxReviews": {
161 "title": "Number of reviews",
162 "type": "integer",
163 "description": "Max number of reviews per place to scrape. If you fill in 0 or nothing, no reviews will be scraped. For all reviews, just put 99999.",
164 "default": 10000000
165 },
166 "reviewsSort": {
167 "title": "Sort reviews by",
168 "enum": [
169 "newest",
170 "mostRelevant",
171 "highestRanking",
172 "lowestRanking"
173 ],
174 "type": "string",
175 "description": "Define how reviews should be sorted.",
176 "default": "newest"
177 },
178 "reviewsStartDate": {
179 "title": "Only scrape reviews newer than [date]",
180 "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])(T[0-2]\\d:[0-5]\\d(:[0-5]\\d)?(\\.\\d+)?Z?)?$|^(\\d+)\\s*(minute|hour|day|week|month|year)s?$",
181 "type": "string",
182 "description": "Either absolute date (e.g. `2024-05-03`) or relative date from now into the past (e.g. `8 days`, `3 months`). JSON input also supports adding time in both absolute (ISO standard, e.g. `2024-05-03T20:00:00`) and relative (e.g. `3 hours`) formats. Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: `minutes`, `hours`, `days`, `weeks`, `months`, `years`."
183 },
184 "language": {
185 "title": "Language",
186 "enum": [
187 "en",
188 "af",
189 "az",
190 "id",
191 "ms",
192 "bs",
193 "ca",
194 "cs",
195 "da",
196 "de",
197 "et",
198 "es",
199 "es-419",
200 "eu",
201 "fil",
202 "fr",
203 "gl",
204 "hr",
205 "zu",
206 "is",
207 "it",
208 "sw",
209 "lv",
210 "lt",
211 "hu",
212 "nl",
213 "no",
214 "uz",
215 "pl",
216 "pt-BR",
217 "pt-PT",
218 "ro",
219 "sq",
220 "sk",
221 "sl",
222 "fi",
223 "sv",
224 "vi",
225 "tr",
226 "el",
227 "bg",
228 "ky",
229 "kk",
230 "mk",
231 "mn",
232 "ru",
233 "sr",
234 "uk",
235 "ka",
236 "hy",
237 "iw",
238 "ur",
239 "ar",
240 "fa",
241 "am",
242 "ne",
243 "hi",
244 "mr",
245 "bn",
246 "pa",
247 "gu",
248 "ta",
249 "te",
250 "kn",
251 "ml",
252 "si",
253 "th",
254 "lo",
255 "my",
256 "km",
257 "ko",
258 "ja",
259 "zh-CN",
260 "zh-TW"
261 ],
262 "type": "string",
263 "description": "Results details will show in this language.",
264 "default": "en"
265 },
266 "reviewsOrigin": {
267 "title": "Reviews origin",
268 "enum": [
269 "all",
270 "google"
271 ],
272 "type": "string",
273 "description": "Select whether you want all reviews (from Google, Tripadvisor, etc.) or only reviews from Google",
274 "default": "all"
275 },
276 "personalData": {
277 "title": "Personal data",
278 "type": "boolean",
279 "description": "This settings allows you to obtain personal data about reviewer (his ID, name, URL and his photo URL) and about review (ID and URL). Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.",
280 "default": true
281 }
282 }
283 },
284 "runsResponseSchema": {
285 "type": "object",
286 "properties": {
287 "data": {
288 "type": "object",
289 "properties": {
290 "id": {
291 "type": "string"
292 },
293 "actId": {
294 "type": "string"
295 },
296 "userId": {
297 "type": "string"
298 },
299 "startedAt": {
300 "type": "string",
301 "format": "date-time",
302 "example": "2025-01-08T00:00:00.000Z"
303 },
304 "finishedAt": {
305 "type": "string",
306 "format": "date-time",
307 "example": "2025-01-08T00:00:00.000Z"
308 },
309 "status": {
310 "type": "string",
311 "example": "READY"
312 },
313 "meta": {
314 "type": "object",
315 "properties": {
316 "origin": {
317 "type": "string",
318 "example": "API"
319 },
320 "userAgent": {
321 "type": "string"
322 }
323 }
324 },
325 "stats": {
326 "type": "object",
327 "properties": {
328 "inputBodyLen": {
329 "type": "integer",
330 "example": 2000
331 },
332 "rebootCount": {
333 "type": "integer",
334 "example": 0
335 },
336 "restartCount": {
337 "type": "integer",
338 "example": 0
339 },
340 "resurrectCount": {
341 "type": "integer",
342 "example": 0
343 },
344 "computeUnits": {
345 "type": "integer",
346 "example": 0
347 }
348 }
349 },
350 "options": {
351 "type": "object",
352 "properties": {
353 "build": {
354 "type": "string",
355 "example": "latest"
356 },
357 "timeoutSecs": {
358 "type": "integer",
359 "example": 300
360 },
361 "memoryMbytes": {
362 "type": "integer",
363 "example": 1024
364 },
365 "diskMbytes": {
366 "type": "integer",
367 "example": 2048
368 }
369 }
370 },
371 "buildId": {
372 "type": "string"
373 },
374 "defaultKeyValueStoreId": {
375 "type": "string"
376 },
377 "defaultDatasetId": {
378 "type": "string"
379 },
380 "defaultRequestQueueId": {
381 "type": "string"
382 },
383 "buildNumber": {
384 "type": "string",
385 "example": "1.0.0"
386 },
387 "containerUrl": {
388 "type": "string"
389 },
390 "usage": {
391 "type": "object",
392 "properties": {
393 "ACTOR_COMPUTE_UNITS": {
394 "type": "integer",
395 "example": 0
396 },
397 "DATASET_READS": {
398 "type": "integer",
399 "example": 0
400 },
401 "DATASET_WRITES": {
402 "type": "integer",
403 "example": 0
404 },
405 "KEY_VALUE_STORE_READS": {
406 "type": "integer",
407 "example": 0
408 },
409 "KEY_VALUE_STORE_WRITES": {
410 "type": "integer",
411 "example": 1
412 },
413 "KEY_VALUE_STORE_LISTS": {
414 "type": "integer",
415 "example": 0
416 },
417 "REQUEST_QUEUE_READS": {
418 "type": "integer",
419 "example": 0
420 },
421 "REQUEST_QUEUE_WRITES": {
422 "type": "integer",
423 "example": 0
424 },
425 "DATA_TRANSFER_INTERNAL_GBYTES": {
426 "type": "integer",
427 "example": 0
428 },
429 "DATA_TRANSFER_EXTERNAL_GBYTES": {
430 "type": "integer",
431 "example": 0
432 },
433 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
434 "type": "integer",
435 "example": 0
436 },
437 "PROXY_SERPS": {
438 "type": "integer",
439 "example": 0
440 }
441 }
442 },
443 "usageTotalUsd": {
444 "type": "number",
445 "example": 0.00005
446 },
447 "usageUsd": {
448 "type": "object",
449 "properties": {
450 "ACTOR_COMPUTE_UNITS": {
451 "type": "integer",
452 "example": 0
453 },
454 "DATASET_READS": {
455 "type": "integer",
456 "example": 0
457 },
458 "DATASET_WRITES": {
459 "type": "integer",
460 "example": 0
461 },
462 "KEY_VALUE_STORE_READS": {
463 "type": "integer",
464 "example": 0
465 },
466 "KEY_VALUE_STORE_WRITES": {
467 "type": "number",
468 "example": 0.00005
469 },
470 "KEY_VALUE_STORE_LISTS": {
471 "type": "integer",
472 "example": 0
473 },
474 "REQUEST_QUEUE_READS": {
475 "type": "integer",
476 "example": 0
477 },
478 "REQUEST_QUEUE_WRITES": {
479 "type": "integer",
480 "example": 0
481 },
482 "DATA_TRANSFER_INTERNAL_GBYTES": {
483 "type": "integer",
484 "example": 0
485 },
486 "DATA_TRANSFER_EXTERNAL_GBYTES": {
487 "type": "integer",
488 "example": 0
489 },
490 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
491 "type": "integer",
492 "example": 0
493 },
494 "PROXY_SERPS": {
495 "type": "integer",
496 "example": 0
497 }
498 }
499 }
500 }
501 }
502 }
503 }
504 }
505 }
506}Google Maps 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 Google Maps 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:
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
$0.50
