LinkedIn People Profiles Extractor With Emails
Under maintenance
Try for free
3 days trial then $10.00/month - No credit card required now
Go to Store
This Actor is under maintenance.
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsLinkedIn People Profiles Extractor With Emails
scrap3r/linkedin-people-profiles-extractor-with-emails
Try for free
3 days trial then $10.00/month - No credit card required now
Think of it as an enhanced version of the classic 📍 LinkedIn Scraper, optimized for speed and reliability. Just enter your URL and extract data such as job title, company, location, contact info, profile info, profile skills and more—all at lightning-fast speeds.
Developer
Dmaxxy DevMaintained by Community
Actor Metrics
5 Monthly users
No reviews yet
No bookmarks yet
43% runs succeeded
Created in Feb 2025
Modified 9 days ago
Categories
You can access the LinkedIn People Profiles Extractor With Emails programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "jHGfApru9lqLxmhLR"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/scrap3r~linkedin-people-profiles-extractor-with-emails/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-scrap3r-linkedin-people-profiles-extractor-with-emails",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/scrap3r~linkedin-people-profiles-extractor-with-emails/runs": {
50 "post": {
51 "operationId": "runs-sync-scrap3r-linkedin-people-profiles-extractor-with-emails",
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/scrap3r~linkedin-people-profiles-extractor-with-emails/run-sync": {
93 "post": {
94 "operationId": "run-sync-scrap3r-linkedin-people-profiles-extractor-with-emails",
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 "cookie",
136 "account_country"
137 ],
138 "properties": {
139 "url": {
140 "title": "👥 Peoples profile urls",
141 "uniqueItems": true,
142 "type": "array",
143 "description": "The URL of the profile you want to extract.",
144 "items": {
145 "type": "string"
146 }
147 },
148 "cookie": {
149 "title": "🍪 Cookie",
150 "type": "array",
151 "description": "Cookies are used to authorize the actor with LinkedIn.\n\nFollow these steps to get the cookies:\n\n1. Install Cookie-Editor chrome extension\n2. Login to your LinkedIn account\n3. Click on the extension and export the LinkedIn cookies\n4. Paste the copied contents here\n\n<a href=https://youtu.be/YuKp9BlVgNM target=_blank><img src=https://www.youtube.com/s/desktop/66e817d4/img/favicon_32x32.png width=16px> Video - How to get cookies (0:14)"
152 },
153 "account_country": {
154 "title": "🌐 Account Country",
155 "enum": [
156 "ad",
157 "ae",
158 "af",
159 "ag",
160 "ai",
161 "al",
162 "am",
163 "ao",
164 "aq",
165 "ar",
166 "as",
167 "at",
168 "au",
169 "aw",
170 "ax",
171 "az",
172 "ba",
173 "bb",
174 "bd",
175 "be",
176 "bf",
177 "bg",
178 "bh",
179 "bi",
180 "bj",
181 "bl",
182 "bm",
183 "bn",
184 "bo",
185 "bq",
186 "br",
187 "bs",
188 "bt",
189 "bv",
190 "bw",
191 "by",
192 "bz",
193 "ca",
194 "cc",
195 "cd",
196 "cf",
197 "cg",
198 "ch",
199 "ci",
200 "ck",
201 "cl",
202 "cm",
203 "cn",
204 "co",
205 "cr",
206 "cu",
207 "cv",
208 "cw",
209 "cx",
210 "cy",
211 "cz",
212 "de",
213 "dj",
214 "dk",
215 "dm",
216 "do",
217 "dz",
218 "ec",
219 "ee",
220 "eg",
221 "eh",
222 "er",
223 "es",
224 "et",
225 "fi",
226 "fj",
227 "fk",
228 "fm",
229 "fo",
230 "fr",
231 "ga",
232 "gb",
233 "gd",
234 "ge",
235 "gf",
236 "gg",
237 "gh",
238 "gi",
239 "gl",
240 "gm",
241 "gn",
242 "gp",
243 "gq",
244 "gr",
245 "gs",
246 "gt",
247 "gu",
248 "gw",
249 "gy",
250 "hk",
251 "hm",
252 "hn",
253 "hr",
254 "ht",
255 "hu",
256 "id",
257 "ie",
258 "il",
259 "im",
260 "in",
261 "io",
262 "iq",
263 "ir",
264 "is",
265 "it",
266 "je",
267 "jm",
268 "jo",
269 "jp",
270 "ke",
271 "kg",
272 "kh",
273 "ki",
274 "km",
275 "kn",
276 "kp",
277 "kr",
278 "kw",
279 "ky",
280 "kz",
281 "la",
282 "lb",
283 "lc",
284 "li",
285 "lk",
286 "lr",
287 "ls",
288 "lt",
289 "lu",
290 "lv",
291 "ly",
292 "ma",
293 "mc",
294 "md",
295 "me",
296 "mf",
297 "mg",
298 "mh",
299 "mk",
300 "ml",
301 "mm",
302 "mn",
303 "mo",
304 "mp",
305 "mq",
306 "mr",
307 "ms",
308 "mt",
309 "mu",
310 "mv",
311 "mw",
312 "mx",
313 "my",
314 "mz",
315 "na",
316 "nc",
317 "ne",
318 "nf",
319 "ng",
320 "ni",
321 "nl",
322 "no",
323 "np",
324 "nr",
325 "nu",
326 "nz",
327 "om",
328 "pa",
329 "pe",
330 "pf",
331 "pg",
332 "ph",
333 "pk",
334 "pl",
335 "pm",
336 "pn",
337 "pr",
338 "ps",
339 "pt",
340 "pw",
341 "py",
342 "qa",
343 "re",
344 "ro",
345 "rs",
346 "ru",
347 "rw",
348 "sa",
349 "sb",
350 "sc",
351 "sd",
352 "se",
353 "sg",
354 "sh",
355 "si",
356 "sj",
357 "sk",
358 "sl",
359 "sm",
360 "sn",
361 "so",
362 "sr",
363 "ss",
364 "st",
365 "sv",
366 "sx",
367 "sy",
368 "sz",
369 "tc",
370 "td",
371 "tf",
372 "tg",
373 "th",
374 "tj",
375 "tk",
376 "tl",
377 "tm",
378 "tn",
379 "to",
380 "tr",
381 "tt",
382 "tv",
383 "tw",
384 "tz",
385 "ua",
386 "ug",
387 "um",
388 "us",
389 "uy",
390 "uz",
391 "va",
392 "vc",
393 "ve",
394 "vg",
395 "vi",
396 "vn",
397 "vu",
398 "wf",
399 "ws",
400 "ye",
401 "yt",
402 "za",
403 "zm",
404 "zw"
405 ],
406 "type": "string",
407 "description": "The country of the account you want to extract.",
408 "default": "us"
409 },
410 "Minimal_wait_time": {
411 "title": "🕒 Minimal wait time",
412 "type": "integer",
413 "description": "The minimal wait time in seconds between each request.",
414 "default": 10
415 },
416 "Maximal_wait_time": {
417 "title": "🕒 Maximal wait time",
418 "type": "integer",
419 "description": "The maximal wait time in seconds between each request.",
420 "default": 20
421 }
422 }
423 },
424 "runsResponseSchema": {
425 "type": "object",
426 "properties": {
427 "data": {
428 "type": "object",
429 "properties": {
430 "id": {
431 "type": "string"
432 },
433 "actId": {
434 "type": "string"
435 },
436 "userId": {
437 "type": "string"
438 },
439 "startedAt": {
440 "type": "string",
441 "format": "date-time",
442 "example": "2025-01-08T00:00:00.000Z"
443 },
444 "finishedAt": {
445 "type": "string",
446 "format": "date-time",
447 "example": "2025-01-08T00:00:00.000Z"
448 },
449 "status": {
450 "type": "string",
451 "example": "READY"
452 },
453 "meta": {
454 "type": "object",
455 "properties": {
456 "origin": {
457 "type": "string",
458 "example": "API"
459 },
460 "userAgent": {
461 "type": "string"
462 }
463 }
464 },
465 "stats": {
466 "type": "object",
467 "properties": {
468 "inputBodyLen": {
469 "type": "integer",
470 "example": 2000
471 },
472 "rebootCount": {
473 "type": "integer",
474 "example": 0
475 },
476 "restartCount": {
477 "type": "integer",
478 "example": 0
479 },
480 "resurrectCount": {
481 "type": "integer",
482 "example": 0
483 },
484 "computeUnits": {
485 "type": "integer",
486 "example": 0
487 }
488 }
489 },
490 "options": {
491 "type": "object",
492 "properties": {
493 "build": {
494 "type": "string",
495 "example": "latest"
496 },
497 "timeoutSecs": {
498 "type": "integer",
499 "example": 300
500 },
501 "memoryMbytes": {
502 "type": "integer",
503 "example": 1024
504 },
505 "diskMbytes": {
506 "type": "integer",
507 "example": 2048
508 }
509 }
510 },
511 "buildId": {
512 "type": "string"
513 },
514 "defaultKeyValueStoreId": {
515 "type": "string"
516 },
517 "defaultDatasetId": {
518 "type": "string"
519 },
520 "defaultRequestQueueId": {
521 "type": "string"
522 },
523 "buildNumber": {
524 "type": "string",
525 "example": "1.0.0"
526 },
527 "containerUrl": {
528 "type": "string"
529 },
530 "usage": {
531 "type": "object",
532 "properties": {
533 "ACTOR_COMPUTE_UNITS": {
534 "type": "integer",
535 "example": 0
536 },
537 "DATASET_READS": {
538 "type": "integer",
539 "example": 0
540 },
541 "DATASET_WRITES": {
542 "type": "integer",
543 "example": 0
544 },
545 "KEY_VALUE_STORE_READS": {
546 "type": "integer",
547 "example": 0
548 },
549 "KEY_VALUE_STORE_WRITES": {
550 "type": "integer",
551 "example": 1
552 },
553 "KEY_VALUE_STORE_LISTS": {
554 "type": "integer",
555 "example": 0
556 },
557 "REQUEST_QUEUE_READS": {
558 "type": "integer",
559 "example": 0
560 },
561 "REQUEST_QUEUE_WRITES": {
562 "type": "integer",
563 "example": 0
564 },
565 "DATA_TRANSFER_INTERNAL_GBYTES": {
566 "type": "integer",
567 "example": 0
568 },
569 "DATA_TRANSFER_EXTERNAL_GBYTES": {
570 "type": "integer",
571 "example": 0
572 },
573 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
574 "type": "integer",
575 "example": 0
576 },
577 "PROXY_SERPS": {
578 "type": "integer",
579 "example": 0
580 }
581 }
582 },
583 "usageTotalUsd": {
584 "type": "number",
585 "example": 0.00005
586 },
587 "usageUsd": {
588 "type": "object",
589 "properties": {
590 "ACTOR_COMPUTE_UNITS": {
591 "type": "integer",
592 "example": 0
593 },
594 "DATASET_READS": {
595 "type": "integer",
596 "example": 0
597 },
598 "DATASET_WRITES": {
599 "type": "integer",
600 "example": 0
601 },
602 "KEY_VALUE_STORE_READS": {
603 "type": "integer",
604 "example": 0
605 },
606 "KEY_VALUE_STORE_WRITES": {
607 "type": "number",
608 "example": 0.00005
609 },
610 "KEY_VALUE_STORE_LISTS": {
611 "type": "integer",
612 "example": 0
613 },
614 "REQUEST_QUEUE_READS": {
615 "type": "integer",
616 "example": 0
617 },
618 "REQUEST_QUEUE_WRITES": {
619 "type": "integer",
620 "example": 0
621 },
622 "DATA_TRANSFER_INTERNAL_GBYTES": {
623 "type": "integer",
624 "example": 0
625 },
626 "DATA_TRANSFER_EXTERNAL_GBYTES": {
627 "type": "integer",
628 "example": 0
629 },
630 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
631 "type": "integer",
632 "example": 0
633 },
634 "PROXY_SERPS": {
635 "type": "integer",
636 "example": 0
637 }
638 }
639 }
640 }
641 }
642 }
643 }
644 }
645 }
646}LinkedIn People Profiles Extractor With Emails 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 People Profiles Extractor With Emails 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:
