
Glassdoor Scraper (Pay Per Result)
Pricing
$5.00 / 1,000 results

Glassdoor Scraper (Pay Per Result)
Extract comprehensive employee reviews from Glassdoor effortlessly. Gather ratings, comments, and company responses to power your HR insights and market research.
0.0 (0)
Pricing
$5.00 / 1,000 results
4
Monthly users
32
Runs succeeded
>99%
Response time
1.6 hours
Last modified
4 days ago
You can access the Glassdoor Scraper (Pay Per Result) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "N8c9qP9HfWlHMkvwn"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/memo23~glassdoor-scraper-ppr/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-memo23-glassdoor-scraper-ppr",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/memo23~glassdoor-scraper-ppr/runs": {
50 "post": {
51 "operationId": "runs-sync-memo23-glassdoor-scraper-ppr",
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/memo23~glassdoor-scraper-ppr/run-sync": {
93 "post": {
94 "operationId": "run-sync-memo23-glassdoor-scraper-ppr",
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": "Start URLs",
139 "type": "array",
140 "description": "URLs to start with.",
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 "command": {
156 "title": "Choose which data to scrape reviews or interviews for the links(s) you provided",
157 "enum": [
158 "reviews",
159 "interviews",
160 "locations",
161 "salaries",
162 "jobs",
163 "overview",
164 "benefits",
165 "culture"
166 ],
167 "type": "string",
168 "description": "Choose which data to scrape (reviews or interviews or locations or salaries or jobs) for the links(s) you provided.",
169 "default": "reviews"
170 },
171 "includes": {
172 "title": "Include only reviews containing specific keywords.",
173 "type": "array",
174 "description": "Only include reviews that contain at least one of the specified keywords. For now keywords are use only on 'Cons' property of the review.",
175 "items": {
176 "type": "string"
177 }
178 },
179 "includeCompanyReviewStats": {
180 "title": "Include Company Review Stats",
181 "type": "boolean",
182 "description": "Include company review stats in the output.",
183 "default": false
184 },
185 "includeCompanyInterviewStats": {
186 "title": "Include Company Interview Stats.",
187 "type": "boolean",
188 "description": "Include company interview stats in the output.",
189 "default": false
190 },
191 "includeCompanyBenefitsStats": {
192 "title": "Include Company Benefits Stats.",
193 "type": "boolean",
194 "description": "Include company benefits stats in the output.",
195 "default": false
196 },
197 "maxItems": {
198 "title": "Max number items OR limit of reviews per crawl",
199 "type": "integer",
200 "description": "Maximum number of reviews that will be scraped.",
201 "default": 2000
202 },
203 "maxConcurrency": {
204 "title": "Max Concurrency",
205 "type": "integer",
206 "description": "Maximum number of pages that can be processed at the same time.",
207 "default": 10
208 },
209 "minConcurrency": {
210 "title": "Min Concurrency",
211 "type": "integer",
212 "description": "Minimum number of pages that will be processed at the same time.",
213 "default": 1
214 },
215 "maxRequestRetries": {
216 "title": "Max Request Retries",
217 "type": "integer",
218 "description": "Number of times the crawler will retry a failed request before giving up.",
219 "default": 100
220 },
221 "proxy": {
222 "title": "Proxy configuration",
223 "type": "object",
224 "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.<br><br>For details, see <a href='https://apify.com/apify/web-scraper#proxy-configuration' target='_blank' rel='noopener'>Proxy configuration</a> in README.",
225 "default": {
226 "useApifyProxy": true,
227 "apifyProxyGroups": [
228 "RESIDENTIAL"
229 ]
230 }
231 }
232 }
233 },
234 "runsResponseSchema": {
235 "type": "object",
236 "properties": {
237 "data": {
238 "type": "object",
239 "properties": {
240 "id": {
241 "type": "string"
242 },
243 "actId": {
244 "type": "string"
245 },
246 "userId": {
247 "type": "string"
248 },
249 "startedAt": {
250 "type": "string",
251 "format": "date-time",
252 "example": "2025-01-08T00:00:00.000Z"
253 },
254 "finishedAt": {
255 "type": "string",
256 "format": "date-time",
257 "example": "2025-01-08T00:00:00.000Z"
258 },
259 "status": {
260 "type": "string",
261 "example": "READY"
262 },
263 "meta": {
264 "type": "object",
265 "properties": {
266 "origin": {
267 "type": "string",
268 "example": "API"
269 },
270 "userAgent": {
271 "type": "string"
272 }
273 }
274 },
275 "stats": {
276 "type": "object",
277 "properties": {
278 "inputBodyLen": {
279 "type": "integer",
280 "example": 2000
281 },
282 "rebootCount": {
283 "type": "integer",
284 "example": 0
285 },
286 "restartCount": {
287 "type": "integer",
288 "example": 0
289 },
290 "resurrectCount": {
291 "type": "integer",
292 "example": 0
293 },
294 "computeUnits": {
295 "type": "integer",
296 "example": 0
297 }
298 }
299 },
300 "options": {
301 "type": "object",
302 "properties": {
303 "build": {
304 "type": "string",
305 "example": "latest"
306 },
307 "timeoutSecs": {
308 "type": "integer",
309 "example": 300
310 },
311 "memoryMbytes": {
312 "type": "integer",
313 "example": 1024
314 },
315 "diskMbytes": {
316 "type": "integer",
317 "example": 2048
318 }
319 }
320 },
321 "buildId": {
322 "type": "string"
323 },
324 "defaultKeyValueStoreId": {
325 "type": "string"
326 },
327 "defaultDatasetId": {
328 "type": "string"
329 },
330 "defaultRequestQueueId": {
331 "type": "string"
332 },
333 "buildNumber": {
334 "type": "string",
335 "example": "1.0.0"
336 },
337 "containerUrl": {
338 "type": "string"
339 },
340 "usage": {
341 "type": "object",
342 "properties": {
343 "ACTOR_COMPUTE_UNITS": {
344 "type": "integer",
345 "example": 0
346 },
347 "DATASET_READS": {
348 "type": "integer",
349 "example": 0
350 },
351 "DATASET_WRITES": {
352 "type": "integer",
353 "example": 0
354 },
355 "KEY_VALUE_STORE_READS": {
356 "type": "integer",
357 "example": 0
358 },
359 "KEY_VALUE_STORE_WRITES": {
360 "type": "integer",
361 "example": 1
362 },
363 "KEY_VALUE_STORE_LISTS": {
364 "type": "integer",
365 "example": 0
366 },
367 "REQUEST_QUEUE_READS": {
368 "type": "integer",
369 "example": 0
370 },
371 "REQUEST_QUEUE_WRITES": {
372 "type": "integer",
373 "example": 0
374 },
375 "DATA_TRANSFER_INTERNAL_GBYTES": {
376 "type": "integer",
377 "example": 0
378 },
379 "DATA_TRANSFER_EXTERNAL_GBYTES": {
380 "type": "integer",
381 "example": 0
382 },
383 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
384 "type": "integer",
385 "example": 0
386 },
387 "PROXY_SERPS": {
388 "type": "integer",
389 "example": 0
390 }
391 }
392 },
393 "usageTotalUsd": {
394 "type": "number",
395 "example": 0.00005
396 },
397 "usageUsd": {
398 "type": "object",
399 "properties": {
400 "ACTOR_COMPUTE_UNITS": {
401 "type": "integer",
402 "example": 0
403 },
404 "DATASET_READS": {
405 "type": "integer",
406 "example": 0
407 },
408 "DATASET_WRITES": {
409 "type": "integer",
410 "example": 0
411 },
412 "KEY_VALUE_STORE_READS": {
413 "type": "integer",
414 "example": 0
415 },
416 "KEY_VALUE_STORE_WRITES": {
417 "type": "number",
418 "example": 0.00005
419 },
420 "KEY_VALUE_STORE_LISTS": {
421 "type": "integer",
422 "example": 0
423 },
424 "REQUEST_QUEUE_READS": {
425 "type": "integer",
426 "example": 0
427 },
428 "REQUEST_QUEUE_WRITES": {
429 "type": "integer",
430 "example": 0
431 },
432 "DATA_TRANSFER_INTERNAL_GBYTES": {
433 "type": "integer",
434 "example": 0
435 },
436 "DATA_TRANSFER_EXTERNAL_GBYTES": {
437 "type": "integer",
438 "example": 0
439 },
440 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
441 "type": "integer",
442 "example": 0
443 },
444 "PROXY_SERPS": {
445 "type": "integer",
446 "example": 0
447 }
448 }
449 }
450 }
451 }
452 }
453 }
454 }
455 }
456}
Glassdoor Scraper (Pay Per Result) 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 Glassdoor Scraper (Pay Per Result) 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