
LinkedIn Profile
Under maintenance
Pricing
$5.00/month + usage

LinkedIn Profile
Under maintenance
Get information about a LinkedIn profile given a LinkedIn URL. Useful for programmatically extracting data about profiles at scale without the need for a parser or manual labor.
0.0 (0)
Pricing
$5.00/month + usage
3
Monthly users
10
Runs succeeded
69%
Response time
63 days
Last modified
2 years ago
You can access the LinkedIn Profile programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "X6kO6rnWjE7I4HM4P"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/lordflotrox~linkedin-profile/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-lordflotrox-linkedin-profile",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/lordflotrox~linkedin-profile/runs": {
50 "post": {
51 "operationId": "runs-sync-lordflotrox-linkedin-profile",
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/lordflotrox~linkedin-profile/run-sync": {
93 "post": {
94 "operationId": "run-sync-lordflotrox-linkedin-profile",
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 "url"
135 ],
136 "properties": {
137 "url": {
138 "title": "Profile URL",
139 "type": "string",
140 "description": "The URL of the profile you want to extract."
141 }
142 }
143 },
144 "runsResponseSchema": {
145 "type": "object",
146 "properties": {
147 "data": {
148 "type": "object",
149 "properties": {
150 "id": {
151 "type": "string"
152 },
153 "actId": {
154 "type": "string"
155 },
156 "userId": {
157 "type": "string"
158 },
159 "startedAt": {
160 "type": "string",
161 "format": "date-time",
162 "example": "2025-01-08T00:00:00.000Z"
163 },
164 "finishedAt": {
165 "type": "string",
166 "format": "date-time",
167 "example": "2025-01-08T00:00:00.000Z"
168 },
169 "status": {
170 "type": "string",
171 "example": "READY"
172 },
173 "meta": {
174 "type": "object",
175 "properties": {
176 "origin": {
177 "type": "string",
178 "example": "API"
179 },
180 "userAgent": {
181 "type": "string"
182 }
183 }
184 },
185 "stats": {
186 "type": "object",
187 "properties": {
188 "inputBodyLen": {
189 "type": "integer",
190 "example": 2000
191 },
192 "rebootCount": {
193 "type": "integer",
194 "example": 0
195 },
196 "restartCount": {
197 "type": "integer",
198 "example": 0
199 },
200 "resurrectCount": {
201 "type": "integer",
202 "example": 0
203 },
204 "computeUnits": {
205 "type": "integer",
206 "example": 0
207 }
208 }
209 },
210 "options": {
211 "type": "object",
212 "properties": {
213 "build": {
214 "type": "string",
215 "example": "latest"
216 },
217 "timeoutSecs": {
218 "type": "integer",
219 "example": 300
220 },
221 "memoryMbytes": {
222 "type": "integer",
223 "example": 1024
224 },
225 "diskMbytes": {
226 "type": "integer",
227 "example": 2048
228 }
229 }
230 },
231 "buildId": {
232 "type": "string"
233 },
234 "defaultKeyValueStoreId": {
235 "type": "string"
236 },
237 "defaultDatasetId": {
238 "type": "string"
239 },
240 "defaultRequestQueueId": {
241 "type": "string"
242 },
243 "buildNumber": {
244 "type": "string",
245 "example": "1.0.0"
246 },
247 "containerUrl": {
248 "type": "string"
249 },
250 "usage": {
251 "type": "object",
252 "properties": {
253 "ACTOR_COMPUTE_UNITS": {
254 "type": "integer",
255 "example": 0
256 },
257 "DATASET_READS": {
258 "type": "integer",
259 "example": 0
260 },
261 "DATASET_WRITES": {
262 "type": "integer",
263 "example": 0
264 },
265 "KEY_VALUE_STORE_READS": {
266 "type": "integer",
267 "example": 0
268 },
269 "KEY_VALUE_STORE_WRITES": {
270 "type": "integer",
271 "example": 1
272 },
273 "KEY_VALUE_STORE_LISTS": {
274 "type": "integer",
275 "example": 0
276 },
277 "REQUEST_QUEUE_READS": {
278 "type": "integer",
279 "example": 0
280 },
281 "REQUEST_QUEUE_WRITES": {
282 "type": "integer",
283 "example": 0
284 },
285 "DATA_TRANSFER_INTERNAL_GBYTES": {
286 "type": "integer",
287 "example": 0
288 },
289 "DATA_TRANSFER_EXTERNAL_GBYTES": {
290 "type": "integer",
291 "example": 0
292 },
293 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
294 "type": "integer",
295 "example": 0
296 },
297 "PROXY_SERPS": {
298 "type": "integer",
299 "example": 0
300 }
301 }
302 },
303 "usageTotalUsd": {
304 "type": "number",
305 "example": 0.00005
306 },
307 "usageUsd": {
308 "type": "object",
309 "properties": {
310 "ACTOR_COMPUTE_UNITS": {
311 "type": "integer",
312 "example": 0
313 },
314 "DATASET_READS": {
315 "type": "integer",
316 "example": 0
317 },
318 "DATASET_WRITES": {
319 "type": "integer",
320 "example": 0
321 },
322 "KEY_VALUE_STORE_READS": {
323 "type": "integer",
324 "example": 0
325 },
326 "KEY_VALUE_STORE_WRITES": {
327 "type": "number",
328 "example": 0.00005
329 },
330 "KEY_VALUE_STORE_LISTS": {
331 "type": "integer",
332 "example": 0
333 },
334 "REQUEST_QUEUE_READS": {
335 "type": "integer",
336 "example": 0
337 },
338 "REQUEST_QUEUE_WRITES": {
339 "type": "integer",
340 "example": 0
341 },
342 "DATA_TRANSFER_INTERNAL_GBYTES": {
343 "type": "integer",
344 "example": 0
345 },
346 "DATA_TRANSFER_EXTERNAL_GBYTES": {
347 "type": "integer",
348 "example": 0
349 },
350 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
351 "type": "integer",
352 "example": 0
353 },
354 "PROXY_SERPS": {
355 "type": "integer",
356 "example": 0
357 }
358 }
359 }
360 }
361 }
362 }
363 }
364 }
365 }
366}
LinkedIn Profile 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 Profile 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
RentalTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
7 days
Price
$5.00