![AI Text Analyzer for Google Reviews avatar](https://images.apifyusercontent.com/7E0UhbJxEilGzFTykf0QExRkaZ1M8qSEVoCgqNIXoLc/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS83YUt3bkVObk1LQWhlejNMdS9nUGVBZTc1ODg0RmRFZU5Tbi1mYXZpY29uLnBuZw.webp)
AI Text Analyzer for Google Reviews
Pay $5.00 for 1,000 results
![AI Text Analyzer for Google Reviews](https://images.apifyusercontent.com/7E0UhbJxEilGzFTykf0QExRkaZ1M8qSEVoCgqNIXoLc/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS83YUt3bkVObk1LQWhlejNMdS9nUGVBZTc1ODg0RmRFZU5Tbi1mYXZpY29uLnBuZw.webp)
AI Text Analyzer for Google Reviews
Pay $5.00 for 1,000 results
Quickly analyze customer reviews extracted by Google Maps Scraper. Find out what the most frequently used keywords are in each review. Learn how people view your staff and prices. Obtain structured information from unstructured text. Monitor changes in customers’ sentiment over time.
You can access the AI Text Analyzer for Google Reviews programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.5",
5 "x-build-id": "xGi4a1l9Nv8wqq2ua"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/geneea-analytics~reviews-text-nlp-analyzer/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-geneea-analytics-reviews-text-nlp-analyzer",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/geneea-analytics~reviews-text-nlp-analyzer/runs": {
50 "post": {
51 "operationId": "runs-sync-geneea-analytics-reviews-text-nlp-analyzer",
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/geneea-analytics~reviews-text-nlp-analyzer/run-sync": {
93 "post": {
94 "operationId": "run-sync-geneea-analytics-reviews-text-nlp-analyzer",
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 "source_dataset_id"
135 ],
136 "properties": {
137 "source_dataset_id": {
138 "title": "Source dataset ID",
139 "type": "string",
140 "description": "The dataset that contains Google reviews that should be analyzed.",
141 "default": ""
142 },
143 "domain": {
144 "title": "Industry",
145 "enum": [
146 "voc",
147 "voc-banking",
148 "voc-hospitality"
149 ],
150 "type": "string",
151 "description": "The industry of the businesses reviewed. Choosing an NLP model for a specific industry would give better results for Google reviews targeting that industry. If not sure, pick the general purpose 'General' NLP model.",
152 "default": "voc"
153 },
154 "language": {
155 "title": "Language",
156 "enum": [
157 "en"
158 ],
159 "type": "string",
160 "description": "Language of the reviews text. There is only English NLP model available now.",
161 "default": "en"
162 },
163 "skip_empty_texts": {
164 "title": "Skip empty texts",
165 "type": "boolean",
166 "description": "Skip reviews with no text. Reviews that have no text will appear in the results.",
167 "default": false
168 },
169 "max_reviews": {
170 "title": "Limit number of reviews",
171 "minimum": 0,
172 "type": "integer",
173 "description": "This is the maximum number of reviews that will be analyzed. If you specify '0' or leave this empty, all reviews will be analyzed.",
174 "default": 0
175 }
176 }
177 },
178 "runsResponseSchema": {
179 "type": "object",
180 "properties": {
181 "data": {
182 "type": "object",
183 "properties": {
184 "id": {
185 "type": "string"
186 },
187 "actId": {
188 "type": "string"
189 },
190 "userId": {
191 "type": "string"
192 },
193 "startedAt": {
194 "type": "string",
195 "format": "date-time",
196 "example": "2025-01-08T00:00:00.000Z"
197 },
198 "finishedAt": {
199 "type": "string",
200 "format": "date-time",
201 "example": "2025-01-08T00:00:00.000Z"
202 },
203 "status": {
204 "type": "string",
205 "example": "READY"
206 },
207 "meta": {
208 "type": "object",
209 "properties": {
210 "origin": {
211 "type": "string",
212 "example": "API"
213 },
214 "userAgent": {
215 "type": "string"
216 }
217 }
218 },
219 "stats": {
220 "type": "object",
221 "properties": {
222 "inputBodyLen": {
223 "type": "integer",
224 "example": 2000
225 },
226 "rebootCount": {
227 "type": "integer",
228 "example": 0
229 },
230 "restartCount": {
231 "type": "integer",
232 "example": 0
233 },
234 "resurrectCount": {
235 "type": "integer",
236 "example": 0
237 },
238 "computeUnits": {
239 "type": "integer",
240 "example": 0
241 }
242 }
243 },
244 "options": {
245 "type": "object",
246 "properties": {
247 "build": {
248 "type": "string",
249 "example": "latest"
250 },
251 "timeoutSecs": {
252 "type": "integer",
253 "example": 300
254 },
255 "memoryMbytes": {
256 "type": "integer",
257 "example": 1024
258 },
259 "diskMbytes": {
260 "type": "integer",
261 "example": 2048
262 }
263 }
264 },
265 "buildId": {
266 "type": "string"
267 },
268 "defaultKeyValueStoreId": {
269 "type": "string"
270 },
271 "defaultDatasetId": {
272 "type": "string"
273 },
274 "defaultRequestQueueId": {
275 "type": "string"
276 },
277 "buildNumber": {
278 "type": "string",
279 "example": "1.0.0"
280 },
281 "containerUrl": {
282 "type": "string"
283 },
284 "usage": {
285 "type": "object",
286 "properties": {
287 "ACTOR_COMPUTE_UNITS": {
288 "type": "integer",
289 "example": 0
290 },
291 "DATASET_READS": {
292 "type": "integer",
293 "example": 0
294 },
295 "DATASET_WRITES": {
296 "type": "integer",
297 "example": 0
298 },
299 "KEY_VALUE_STORE_READS": {
300 "type": "integer",
301 "example": 0
302 },
303 "KEY_VALUE_STORE_WRITES": {
304 "type": "integer",
305 "example": 1
306 },
307 "KEY_VALUE_STORE_LISTS": {
308 "type": "integer",
309 "example": 0
310 },
311 "REQUEST_QUEUE_READS": {
312 "type": "integer",
313 "example": 0
314 },
315 "REQUEST_QUEUE_WRITES": {
316 "type": "integer",
317 "example": 0
318 },
319 "DATA_TRANSFER_INTERNAL_GBYTES": {
320 "type": "integer",
321 "example": 0
322 },
323 "DATA_TRANSFER_EXTERNAL_GBYTES": {
324 "type": "integer",
325 "example": 0
326 },
327 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
328 "type": "integer",
329 "example": 0
330 },
331 "PROXY_SERPS": {
332 "type": "integer",
333 "example": 0
334 }
335 }
336 },
337 "usageTotalUsd": {
338 "type": "number",
339 "example": 0.00005
340 },
341 "usageUsd": {
342 "type": "object",
343 "properties": {
344 "ACTOR_COMPUTE_UNITS": {
345 "type": "integer",
346 "example": 0
347 },
348 "DATASET_READS": {
349 "type": "integer",
350 "example": 0
351 },
352 "DATASET_WRITES": {
353 "type": "integer",
354 "example": 0
355 },
356 "KEY_VALUE_STORE_READS": {
357 "type": "integer",
358 "example": 0
359 },
360 "KEY_VALUE_STORE_WRITES": {
361 "type": "number",
362 "example": 0.00005
363 },
364 "KEY_VALUE_STORE_LISTS": {
365 "type": "integer",
366 "example": 0
367 },
368 "REQUEST_QUEUE_READS": {
369 "type": "integer",
370 "example": 0
371 },
372 "REQUEST_QUEUE_WRITES": {
373 "type": "integer",
374 "example": 0
375 },
376 "DATA_TRANSFER_INTERNAL_GBYTES": {
377 "type": "integer",
378 "example": 0
379 },
380 "DATA_TRANSFER_EXTERNAL_GBYTES": {
381 "type": "integer",
382 "example": 0
383 },
384 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
385 "type": "integer",
386 "example": 0
387 },
388 "PROXY_SERPS": {
389 "type": "integer",
390 "example": 0
391 }
392 }
393 }
394 }
395 }
396 }
397 }
398 }
399 }
400}
AI Text Analyzer for Google Reviews 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 Text Analyzer for Google Reviews 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:
Actor Metrics
29 monthly users
-
14 stars
40% runs succeeded
Created in Mar 2023
Modified a year ago