
Google People Also Ask Scraper
30 minutes trial then $10.00/month - No credit card required now
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative Actors
Google People Also Ask Scraper
30 minutes trial then $10.00/month - No credit card required now
Scrapes questions that appear in the `People also ask` section on the Google search results page according to the keyword entered with the max depth you want
You can access the Google People Also Ask Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.1",
5 "x-build-id": "CNHJsuhKrsEdM8lzH"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/ib4ngz~google-people-also-ask-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-ib4ngz-google-people-also-ask-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/ib4ngz~google-people-also-ask-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-ib4ngz-google-people-also-ask-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/ib4ngz~google-people-also-ask-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-ib4ngz-google-people-also-ask-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 "keyword"
135 ],
136 "properties": {
137 "keyword": {
138 "title": "Keyword",
139 "type": "string",
140 "description": "Keyword to scrape"
141 },
142 "max_depth": {
143 "title": "Maximum Depth ",
144 "type": "integer",
145 "description": "Depth to which to scrape to",
146 "default": 1
147 },
148 "language": {
149 "title": "Language",
150 "enum": [
151 "af",
152 "ak",
153 "sq",
154 "ws",
155 "am",
156 "ar",
157 "hy",
158 "az",
159 "eu",
160 "be",
161 "bem",
162 "bn",
163 "bh",
164 "xx-bork",
165 "bs",
166 "br",
167 "bg",
168 "bt",
169 "km",
170 "ca",
171 "chr",
172 "ny",
173 "zh-cn",
174 "zh-tw",
175 "co",
176 "hr",
177 "cs",
178 "da",
179 "nl",
180 "xx-elmer",
181 "en",
182 "eo",
183 "et",
184 "ee",
185 "fo",
186 "tl",
187 "fi",
188 "fr",
189 "fy",
190 "gaa",
191 "gl",
192 "ka",
193 "de",
194 "el",
195 "kl",
196 "gn",
197 "gu",
198 "xx-hacker",
199 "ht",
200 "ha",
201 "haw",
202 "iw",
203 "hi",
204 "hu",
205 "is",
206 "ig",
207 "id",
208 "ia",
209 "ga",
210 "it",
211 "ja",
212 "jw",
213 "kn",
214 "kk",
215 "rw",
216 "rn",
217 "xx-klingon",
218 "kg",
219 "ko",
220 "kri",
221 "ku",
222 "ckb",
223 "ky",
224 "lo",
225 "la",
226 "lv",
227 "ln",
228 "lt",
229 "loz",
230 "lg",
231 "ach",
232 "mk",
233 "mg",
234 "ms",
235 "ml",
236 "mt",
237 "mv",
238 "mi",
239 "mr",
240 "mfe",
241 "mo",
242 "mn",
243 "sr-me",
244 "my",
245 "ne",
246 "pcm",
247 "nso",
248 "no",
249 "nn",
250 "oc",
251 "or",
252 "om",
253 "ps",
254 "fa",
255 "xx-pirate",
256 "pl",
257 "pt",
258 "pt-br",
259 "pt-pt",
260 "pa",
261 "qu",
262 "ro",
263 "rm",
264 "nyn",
265 "ru",
266 "gd",
267 "sr",
268 "sh",
269 "st",
270 "tn",
271 "crs",
272 "sn",
273 "sd",
274 "si",
275 "sk",
276 "sl",
277 "so",
278 "es",
279 "es-419",
280 "su",
281 "sw",
282 "sv",
283 "tg",
284 "ta",
285 "tt",
286 "te",
287 "th",
288 "ti",
289 "to",
290 "lua",
291 "tum",
292 "tr",
293 "tk",
294 "tw",
295 "ug",
296 "uk",
297 "ur",
298 "uz",
299 "vu",
300 "vi",
301 "cy",
302 "wo",
303 "xh",
304 "yi",
305 "yo",
306 "zu"
307 ],
308 "type": "string",
309 "description": "Language for the search results",
310 "default": "en"
311 }
312 }
313 },
314 "runsResponseSchema": {
315 "type": "object",
316 "properties": {
317 "data": {
318 "type": "object",
319 "properties": {
320 "id": {
321 "type": "string"
322 },
323 "actId": {
324 "type": "string"
325 },
326 "userId": {
327 "type": "string"
328 },
329 "startedAt": {
330 "type": "string",
331 "format": "date-time",
332 "example": "2025-01-08T00:00:00.000Z"
333 },
334 "finishedAt": {
335 "type": "string",
336 "format": "date-time",
337 "example": "2025-01-08T00:00:00.000Z"
338 },
339 "status": {
340 "type": "string",
341 "example": "READY"
342 },
343 "meta": {
344 "type": "object",
345 "properties": {
346 "origin": {
347 "type": "string",
348 "example": "API"
349 },
350 "userAgent": {
351 "type": "string"
352 }
353 }
354 },
355 "stats": {
356 "type": "object",
357 "properties": {
358 "inputBodyLen": {
359 "type": "integer",
360 "example": 2000
361 },
362 "rebootCount": {
363 "type": "integer",
364 "example": 0
365 },
366 "restartCount": {
367 "type": "integer",
368 "example": 0
369 },
370 "resurrectCount": {
371 "type": "integer",
372 "example": 0
373 },
374 "computeUnits": {
375 "type": "integer",
376 "example": 0
377 }
378 }
379 },
380 "options": {
381 "type": "object",
382 "properties": {
383 "build": {
384 "type": "string",
385 "example": "latest"
386 },
387 "timeoutSecs": {
388 "type": "integer",
389 "example": 300
390 },
391 "memoryMbytes": {
392 "type": "integer",
393 "example": 1024
394 },
395 "diskMbytes": {
396 "type": "integer",
397 "example": 2048
398 }
399 }
400 },
401 "buildId": {
402 "type": "string"
403 },
404 "defaultKeyValueStoreId": {
405 "type": "string"
406 },
407 "defaultDatasetId": {
408 "type": "string"
409 },
410 "defaultRequestQueueId": {
411 "type": "string"
412 },
413 "buildNumber": {
414 "type": "string",
415 "example": "1.0.0"
416 },
417 "containerUrl": {
418 "type": "string"
419 },
420 "usage": {
421 "type": "object",
422 "properties": {
423 "ACTOR_COMPUTE_UNITS": {
424 "type": "integer",
425 "example": 0
426 },
427 "DATASET_READS": {
428 "type": "integer",
429 "example": 0
430 },
431 "DATASET_WRITES": {
432 "type": "integer",
433 "example": 0
434 },
435 "KEY_VALUE_STORE_READS": {
436 "type": "integer",
437 "example": 0
438 },
439 "KEY_VALUE_STORE_WRITES": {
440 "type": "integer",
441 "example": 1
442 },
443 "KEY_VALUE_STORE_LISTS": {
444 "type": "integer",
445 "example": 0
446 },
447 "REQUEST_QUEUE_READS": {
448 "type": "integer",
449 "example": 0
450 },
451 "REQUEST_QUEUE_WRITES": {
452 "type": "integer",
453 "example": 0
454 },
455 "DATA_TRANSFER_INTERNAL_GBYTES": {
456 "type": "integer",
457 "example": 0
458 },
459 "DATA_TRANSFER_EXTERNAL_GBYTES": {
460 "type": "integer",
461 "example": 0
462 },
463 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
464 "type": "integer",
465 "example": 0
466 },
467 "PROXY_SERPS": {
468 "type": "integer",
469 "example": 0
470 }
471 }
472 },
473 "usageTotalUsd": {
474 "type": "number",
475 "example": 0.00005
476 },
477 "usageUsd": {
478 "type": "object",
479 "properties": {
480 "ACTOR_COMPUTE_UNITS": {
481 "type": "integer",
482 "example": 0
483 },
484 "DATASET_READS": {
485 "type": "integer",
486 "example": 0
487 },
488 "DATASET_WRITES": {
489 "type": "integer",
490 "example": 0
491 },
492 "KEY_VALUE_STORE_READS": {
493 "type": "integer",
494 "example": 0
495 },
496 "KEY_VALUE_STORE_WRITES": {
497 "type": "number",
498 "example": 0.00005
499 },
500 "KEY_VALUE_STORE_LISTS": {
501 "type": "integer",
502 "example": 0
503 },
504 "REQUEST_QUEUE_READS": {
505 "type": "integer",
506 "example": 0
507 },
508 "REQUEST_QUEUE_WRITES": {
509 "type": "integer",
510 "example": 0
511 },
512 "DATA_TRANSFER_INTERNAL_GBYTES": {
513 "type": "integer",
514 "example": 0
515 },
516 "DATA_TRANSFER_EXTERNAL_GBYTES": {
517 "type": "integer",
518 "example": 0
519 },
520 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
521 "type": "integer",
522 "example": 0
523 },
524 "PROXY_SERPS": {
525 "type": "integer",
526 "example": 0
527 }
528 }
529 }
530 }
531 }
532 }
533 }
534 }
535 }
536}
Google People Also Ask 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 People Also Ask 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:
Actor Metrics
5 monthly users
-
4 bookmarks
73% runs succeeded
Created in Jun 2024
Modified a month ago