Linkedin Company Insights Scraper
7 days trial then $30.00/month - No credit card required now
Linkedin Company Insights Scraper
7 days trial then $30.00/month - No credit card required now
Linkedin company insights scraper. Extract data for analysis and buy intents. Scrap data about: Employee count with history and median tenure, Employee distribution and headcount growth by function, Profile New hires, Profile Notable company alumni with exit date and new role, Total job openings
You can access the Linkedin Company Insights Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "0EIWgd169TQv2JILV"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/saswave~linkedin-company-insights-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-saswave-linkedin-company-insights-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/saswave~linkedin-company-insights-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-saswave-linkedin-company-insights-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/saswave~linkedin-company-insights-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-saswave-linkedin-company-insights-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 "list_cookies"
135 ],
136 "properties": {
137 "url_str": {
138 "title": "Linkedin Company urls (one per line)",
139 "type": "string",
140 "description": "Provide company urls you want to extract data from"
141 },
142 "get_alumni": {
143 "title": "Get Alumnis",
144 "type": "boolean",
145 "description": "Also extract Alumni profiles",
146 "default": true
147 },
148 "get_new_hires": {
149 "title": "Get New Hires",
150 "type": "boolean",
151 "description": "Also extract new hires",
152 "default": true
153 },
154 "max_alumni": {
155 "title": "Max alumni",
156 "minimum": 0,
157 "type": "integer",
158 "description": "0 = no limit on extracted alumni profiles",
159 "default": 3
160 },
161 "max_new_hires": {
162 "title": "Max new hires",
163 "minimum": 0,
164 "type": "integer",
165 "description": "0 = no limit on extracted new hires profiles",
166 "default": 3
167 },
168 "list_cookies": {
169 "title": "Linkedin Cookie Session",
170 "type": "array",
171 "description": "Provide your own exported cookie session from the extension EditThisCookie (check how to, on actor information)"
172 },
173 "proxyConfiguration": {
174 "title": "Proxy configuration",
175 "type": "object",
176 "description": "The best option is usually Automatic proxy. But you can also use your own proxies or no proxy"
177 }
178 }
179 },
180 "runsResponseSchema": {
181 "type": "object",
182 "properties": {
183 "data": {
184 "type": "object",
185 "properties": {
186 "id": {
187 "type": "string"
188 },
189 "actId": {
190 "type": "string"
191 },
192 "userId": {
193 "type": "string"
194 },
195 "startedAt": {
196 "type": "string",
197 "format": "date-time",
198 "example": "2025-01-08T00:00:00.000Z"
199 },
200 "finishedAt": {
201 "type": "string",
202 "format": "date-time",
203 "example": "2025-01-08T00:00:00.000Z"
204 },
205 "status": {
206 "type": "string",
207 "example": "READY"
208 },
209 "meta": {
210 "type": "object",
211 "properties": {
212 "origin": {
213 "type": "string",
214 "example": "API"
215 },
216 "userAgent": {
217 "type": "string"
218 }
219 }
220 },
221 "stats": {
222 "type": "object",
223 "properties": {
224 "inputBodyLen": {
225 "type": "integer",
226 "example": 2000
227 },
228 "rebootCount": {
229 "type": "integer",
230 "example": 0
231 },
232 "restartCount": {
233 "type": "integer",
234 "example": 0
235 },
236 "resurrectCount": {
237 "type": "integer",
238 "example": 0
239 },
240 "computeUnits": {
241 "type": "integer",
242 "example": 0
243 }
244 }
245 },
246 "options": {
247 "type": "object",
248 "properties": {
249 "build": {
250 "type": "string",
251 "example": "latest"
252 },
253 "timeoutSecs": {
254 "type": "integer",
255 "example": 300
256 },
257 "memoryMbytes": {
258 "type": "integer",
259 "example": 1024
260 },
261 "diskMbytes": {
262 "type": "integer",
263 "example": 2048
264 }
265 }
266 },
267 "buildId": {
268 "type": "string"
269 },
270 "defaultKeyValueStoreId": {
271 "type": "string"
272 },
273 "defaultDatasetId": {
274 "type": "string"
275 },
276 "defaultRequestQueueId": {
277 "type": "string"
278 },
279 "buildNumber": {
280 "type": "string",
281 "example": "1.0.0"
282 },
283 "containerUrl": {
284 "type": "string"
285 },
286 "usage": {
287 "type": "object",
288 "properties": {
289 "ACTOR_COMPUTE_UNITS": {
290 "type": "integer",
291 "example": 0
292 },
293 "DATASET_READS": {
294 "type": "integer",
295 "example": 0
296 },
297 "DATASET_WRITES": {
298 "type": "integer",
299 "example": 0
300 },
301 "KEY_VALUE_STORE_READS": {
302 "type": "integer",
303 "example": 0
304 },
305 "KEY_VALUE_STORE_WRITES": {
306 "type": "integer",
307 "example": 1
308 },
309 "KEY_VALUE_STORE_LISTS": {
310 "type": "integer",
311 "example": 0
312 },
313 "REQUEST_QUEUE_READS": {
314 "type": "integer",
315 "example": 0
316 },
317 "REQUEST_QUEUE_WRITES": {
318 "type": "integer",
319 "example": 0
320 },
321 "DATA_TRANSFER_INTERNAL_GBYTES": {
322 "type": "integer",
323 "example": 0
324 },
325 "DATA_TRANSFER_EXTERNAL_GBYTES": {
326 "type": "integer",
327 "example": 0
328 },
329 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
330 "type": "integer",
331 "example": 0
332 },
333 "PROXY_SERPS": {
334 "type": "integer",
335 "example": 0
336 }
337 }
338 },
339 "usageTotalUsd": {
340 "type": "number",
341 "example": 0.00005
342 },
343 "usageUsd": {
344 "type": "object",
345 "properties": {
346 "ACTOR_COMPUTE_UNITS": {
347 "type": "integer",
348 "example": 0
349 },
350 "DATASET_READS": {
351 "type": "integer",
352 "example": 0
353 },
354 "DATASET_WRITES": {
355 "type": "integer",
356 "example": 0
357 },
358 "KEY_VALUE_STORE_READS": {
359 "type": "integer",
360 "example": 0
361 },
362 "KEY_VALUE_STORE_WRITES": {
363 "type": "number",
364 "example": 0.00005
365 },
366 "KEY_VALUE_STORE_LISTS": {
367 "type": "integer",
368 "example": 0
369 },
370 "REQUEST_QUEUE_READS": {
371 "type": "integer",
372 "example": 0
373 },
374 "REQUEST_QUEUE_WRITES": {
375 "type": "integer",
376 "example": 0
377 },
378 "DATA_TRANSFER_INTERNAL_GBYTES": {
379 "type": "integer",
380 "example": 0
381 },
382 "DATA_TRANSFER_EXTERNAL_GBYTES": {
383 "type": "integer",
384 "example": 0
385 },
386 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
387 "type": "integer",
388 "example": 0
389 },
390 "PROXY_SERPS": {
391 "type": "integer",
392 "example": 0
393 }
394 }
395 }
396 }
397 }
398 }
399 }
400 }
401 }
402}
Linkedin Company Insights 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 Linkedin Company Insights 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
8 monthly users
-
2 stars
33% runs succeeded
1.9 days response time
Created in Nov 2024
Modified 12 days ago