✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies)
Pricing
$10.00 / 1,000 results
Go to Store
✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies)
dev_fusion/linkedin-profile-scraper
Scrape Linkedin profiles and get full information of the lead.
4.8 (11)
Pricing
$10.00 / 1,000 results
179
Monthly users
1.4k
Runs succeeded
>99%
Response time
7.2 hours
Last modified
3 days ago
You can access the ✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "GM5Ir8ey6f9kIVqFP"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/dev_fusion~linkedin-profile-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-dev_fusion-linkedin-profile-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/dev_fusion~linkedin-profile-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-dev_fusion-linkedin-profile-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/dev_fusion~linkedin-profile-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-dev_fusion-linkedin-profile-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 "profileUrls"
135 ],
136 "properties": {
137 "profileUrls": {
138 "title": "🔎 Linkedin Profile URLs",
139 "type": "array",
140 "description": "Enter the Linkedin URLs of the people, you want to enrich data.",
141 "items": {
142 "type": "string"
143 }
144 }
145 }
146 },
147 "runsResponseSchema": {
148 "type": "object",
149 "properties": {
150 "data": {
151 "type": "object",
152 "properties": {
153 "id": {
154 "type": "string"
155 },
156 "actId": {
157 "type": "string"
158 },
159 "userId": {
160 "type": "string"
161 },
162 "startedAt": {
163 "type": "string",
164 "format": "date-time",
165 "example": "2025-01-08T00:00:00.000Z"
166 },
167 "finishedAt": {
168 "type": "string",
169 "format": "date-time",
170 "example": "2025-01-08T00:00:00.000Z"
171 },
172 "status": {
173 "type": "string",
174 "example": "READY"
175 },
176 "meta": {
177 "type": "object",
178 "properties": {
179 "origin": {
180 "type": "string",
181 "example": "API"
182 },
183 "userAgent": {
184 "type": "string"
185 }
186 }
187 },
188 "stats": {
189 "type": "object",
190 "properties": {
191 "inputBodyLen": {
192 "type": "integer",
193 "example": 2000
194 },
195 "rebootCount": {
196 "type": "integer",
197 "example": 0
198 },
199 "restartCount": {
200 "type": "integer",
201 "example": 0
202 },
203 "resurrectCount": {
204 "type": "integer",
205 "example": 0
206 },
207 "computeUnits": {
208 "type": "integer",
209 "example": 0
210 }
211 }
212 },
213 "options": {
214 "type": "object",
215 "properties": {
216 "build": {
217 "type": "string",
218 "example": "latest"
219 },
220 "timeoutSecs": {
221 "type": "integer",
222 "example": 300
223 },
224 "memoryMbytes": {
225 "type": "integer",
226 "example": 1024
227 },
228 "diskMbytes": {
229 "type": "integer",
230 "example": 2048
231 }
232 }
233 },
234 "buildId": {
235 "type": "string"
236 },
237 "defaultKeyValueStoreId": {
238 "type": "string"
239 },
240 "defaultDatasetId": {
241 "type": "string"
242 },
243 "defaultRequestQueueId": {
244 "type": "string"
245 },
246 "buildNumber": {
247 "type": "string",
248 "example": "1.0.0"
249 },
250 "containerUrl": {
251 "type": "string"
252 },
253 "usage": {
254 "type": "object",
255 "properties": {
256 "ACTOR_COMPUTE_UNITS": {
257 "type": "integer",
258 "example": 0
259 },
260 "DATASET_READS": {
261 "type": "integer",
262 "example": 0
263 },
264 "DATASET_WRITES": {
265 "type": "integer",
266 "example": 0
267 },
268 "KEY_VALUE_STORE_READS": {
269 "type": "integer",
270 "example": 0
271 },
272 "KEY_VALUE_STORE_WRITES": {
273 "type": "integer",
274 "example": 1
275 },
276 "KEY_VALUE_STORE_LISTS": {
277 "type": "integer",
278 "example": 0
279 },
280 "REQUEST_QUEUE_READS": {
281 "type": "integer",
282 "example": 0
283 },
284 "REQUEST_QUEUE_WRITES": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATA_TRANSFER_INTERNAL_GBYTES": {
289 "type": "integer",
290 "example": 0
291 },
292 "DATA_TRANSFER_EXTERNAL_GBYTES": {
293 "type": "integer",
294 "example": 0
295 },
296 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
297 "type": "integer",
298 "example": 0
299 },
300 "PROXY_SERPS": {
301 "type": "integer",
302 "example": 0
303 }
304 }
305 },
306 "usageTotalUsd": {
307 "type": "number",
308 "example": 0.00005
309 },
310 "usageUsd": {
311 "type": "object",
312 "properties": {
313 "ACTOR_COMPUTE_UNITS": {
314 "type": "integer",
315 "example": 0
316 },
317 "DATASET_READS": {
318 "type": "integer",
319 "example": 0
320 },
321 "DATASET_WRITES": {
322 "type": "integer",
323 "example": 0
324 },
325 "KEY_VALUE_STORE_READS": {
326 "type": "integer",
327 "example": 0
328 },
329 "KEY_VALUE_STORE_WRITES": {
330 "type": "number",
331 "example": 0.00005
332 },
333 "KEY_VALUE_STORE_LISTS": {
334 "type": "integer",
335 "example": 0
336 },
337 "REQUEST_QUEUE_READS": {
338 "type": "integer",
339 "example": 0
340 },
341 "REQUEST_QUEUE_WRITES": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATA_TRANSFER_INTERNAL_GBYTES": {
346 "type": "integer",
347 "example": 0
348 },
349 "DATA_TRANSFER_EXTERNAL_GBYTES": {
350 "type": "integer",
351 "example": 0
352 },
353 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
354 "type": "integer",
355 "example": 0
356 },
357 "PROXY_SERPS": {
358 "type": "integer",
359 "example": 0
360 }
361 }
362 }
363 }
364 }
365 }
366 }
367 }
368 }
369}✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) 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 ✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) 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
$10.00
