Linkedin Jobs Scraper API (No Cookies)
Try for free
Pay $5.00 for 1,000 runs
Go to Store
Linkedin Jobs Scraper API (No Cookies)
apimaestro/linkedin-jobs-scraper-api
Try for free
Pay $5.00 for 1,000 runs
Extract LinkedIn jobs data including titles, descriptions, company info, and application details. Features advanced filtering by location, experience, job type, and Easy Apply status.
You can access the Linkedin Jobs Scraper API (No Cookies) programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.1",
5 "x-build-id": "SM0mGCT3bPQsufNxf"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/apimaestro~linkedin-jobs-scraper-api/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-apimaestro-linkedin-jobs-scraper-api",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/apimaestro~linkedin-jobs-scraper-api/runs": {
50 "post": {
51 "operationId": "runs-sync-apimaestro-linkedin-jobs-scraper-api",
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/apimaestro~linkedin-jobs-scraper-api/run-sync": {
93 "post": {
94 "operationId": "run-sync-apimaestro-linkedin-jobs-scraper-api",
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 "keywords",
135 "location"
136 ],
137 "properties": {
138 "keywords": {
139 "title": "Keywords",
140 "type": "string",
141 "description": "Search keywords for jobs",
142 "default": "engineer"
143 },
144 "location": {
145 "title": "Country name or City name or GeoID",
146 "type": "string",
147 "description": "location (e.g.,United States)",
148 "default": "United States"
149 },
150 "page_number": {
151 "title": "Page Number",
152 "minimum": 1,
153 "type": "integer",
154 "description": "Page number for pagination (starts from 1)",
155 "default": 1
156 },
157 "remote": {
158 "title": "Workplace Type",
159 "enum": [
160 "",
161 "onsite",
162 "remote",
163 "hybrid"
164 ],
165 "type": "string",
166 "description": "Filter by workplace type"
167 },
168 "sort": {
169 "title": "Sort Order",
170 "enum": [
171 "",
172 "relevant",
173 "recent"
174 ],
175 "type": "string",
176 "description": "Sort order for job listings"
177 },
178 "date_posted": {
179 "title": "Posted time range",
180 "enum": [
181 "",
182 "month",
183 "week",
184 "day"
185 ],
186 "type": "string",
187 "description": "Show results on Past month/week/day"
188 },
189 "experienceLevel": {
190 "title": "Experience Level",
191 "enum": [
192 "",
193 "internship",
194 "entry",
195 "associate",
196 "mid_senior",
197 "director",
198 "executive"
199 ],
200 "type": "string",
201 "description": "Filter by experience level"
202 },
203 "easy_apply": {
204 "title": "Easy Apply Only",
205 "enum": [
206 "",
207 "true",
208 "false"
209 ],
210 "type": "string",
211 "description": "Show only LinkedIn Easy Apply jobs"
212 },
213 "under_10_applicants": {
214 "title": "Under 10 Applicants",
215 "enum": [
216 "",
217 "true",
218 "false"
219 ],
220 "type": "string",
221 "description": "Show only jobs with less than 10 applicants"
222 }
223 }
224 },
225 "runsResponseSchema": {
226 "type": "object",
227 "properties": {
228 "data": {
229 "type": "object",
230 "properties": {
231 "id": {
232 "type": "string"
233 },
234 "actId": {
235 "type": "string"
236 },
237 "userId": {
238 "type": "string"
239 },
240 "startedAt": {
241 "type": "string",
242 "format": "date-time",
243 "example": "2025-01-08T00:00:00.000Z"
244 },
245 "finishedAt": {
246 "type": "string",
247 "format": "date-time",
248 "example": "2025-01-08T00:00:00.000Z"
249 },
250 "status": {
251 "type": "string",
252 "example": "READY"
253 },
254 "meta": {
255 "type": "object",
256 "properties": {
257 "origin": {
258 "type": "string",
259 "example": "API"
260 },
261 "userAgent": {
262 "type": "string"
263 }
264 }
265 },
266 "stats": {
267 "type": "object",
268 "properties": {
269 "inputBodyLen": {
270 "type": "integer",
271 "example": 2000
272 },
273 "rebootCount": {
274 "type": "integer",
275 "example": 0
276 },
277 "restartCount": {
278 "type": "integer",
279 "example": 0
280 },
281 "resurrectCount": {
282 "type": "integer",
283 "example": 0
284 },
285 "computeUnits": {
286 "type": "integer",
287 "example": 0
288 }
289 }
290 },
291 "options": {
292 "type": "object",
293 "properties": {
294 "build": {
295 "type": "string",
296 "example": "latest"
297 },
298 "timeoutSecs": {
299 "type": "integer",
300 "example": 300
301 },
302 "memoryMbytes": {
303 "type": "integer",
304 "example": 1024
305 },
306 "diskMbytes": {
307 "type": "integer",
308 "example": 2048
309 }
310 }
311 },
312 "buildId": {
313 "type": "string"
314 },
315 "defaultKeyValueStoreId": {
316 "type": "string"
317 },
318 "defaultDatasetId": {
319 "type": "string"
320 },
321 "defaultRequestQueueId": {
322 "type": "string"
323 },
324 "buildNumber": {
325 "type": "string",
326 "example": "1.0.0"
327 },
328 "containerUrl": {
329 "type": "string"
330 },
331 "usage": {
332 "type": "object",
333 "properties": {
334 "ACTOR_COMPUTE_UNITS": {
335 "type": "integer",
336 "example": 0
337 },
338 "DATASET_READS": {
339 "type": "integer",
340 "example": 0
341 },
342 "DATASET_WRITES": {
343 "type": "integer",
344 "example": 0
345 },
346 "KEY_VALUE_STORE_READS": {
347 "type": "integer",
348 "example": 0
349 },
350 "KEY_VALUE_STORE_WRITES": {
351 "type": "integer",
352 "example": 1
353 },
354 "KEY_VALUE_STORE_LISTS": {
355 "type": "integer",
356 "example": 0
357 },
358 "REQUEST_QUEUE_READS": {
359 "type": "integer",
360 "example": 0
361 },
362 "REQUEST_QUEUE_WRITES": {
363 "type": "integer",
364 "example": 0
365 },
366 "DATA_TRANSFER_INTERNAL_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "DATA_TRANSFER_EXTERNAL_GBYTES": {
371 "type": "integer",
372 "example": 0
373 },
374 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
375 "type": "integer",
376 "example": 0
377 },
378 "PROXY_SERPS": {
379 "type": "integer",
380 "example": 0
381 }
382 }
383 },
384 "usageTotalUsd": {
385 "type": "number",
386 "example": 0.00005
387 },
388 "usageUsd": {
389 "type": "object",
390 "properties": {
391 "ACTOR_COMPUTE_UNITS": {
392 "type": "integer",
393 "example": 0
394 },
395 "DATASET_READS": {
396 "type": "integer",
397 "example": 0
398 },
399 "DATASET_WRITES": {
400 "type": "integer",
401 "example": 0
402 },
403 "KEY_VALUE_STORE_READS": {
404 "type": "integer",
405 "example": 0
406 },
407 "KEY_VALUE_STORE_WRITES": {
408 "type": "number",
409 "example": 0.00005
410 },
411 "KEY_VALUE_STORE_LISTS": {
412 "type": "integer",
413 "example": 0
414 },
415 "REQUEST_QUEUE_READS": {
416 "type": "integer",
417 "example": 0
418 },
419 "REQUEST_QUEUE_WRITES": {
420 "type": "integer",
421 "example": 0
422 },
423 "DATA_TRANSFER_INTERNAL_GBYTES": {
424 "type": "integer",
425 "example": 0
426 },
427 "DATA_TRANSFER_EXTERNAL_GBYTES": {
428 "type": "integer",
429 "example": 0
430 },
431 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
432 "type": "integer",
433 "example": 0
434 },
435 "PROXY_SERPS": {
436 "type": "integer",
437 "example": 0
438 }
439 }
440 }
441 }
442 }
443 }
444 }
445 }
446 }
447}Linkedin Jobs Scraper API (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 Linkedin Jobs Scraper API (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:
Developer
API MaestroMaintained by Community
Actor Metrics
274 monthly users
-
12 bookmarks
>99% runs succeeded
Created in Nov 2024
Modified an hour ago
Categories
![Linkedin Profile Posts [NO COOKIES] avatar](https://images.apifyusercontent.com/_Slv92yHj0i5IpenJQio3CYRTf7K0I0n3H4P07b0GyQ/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItTFFRSVhOOU90aGY4ZjdSNW4tRTRIaDRTelRoci02MTEwOS5wbmc.webp){kind=avatar}
![Linkedin Company Posts [NO COOKIES] avatar](https://images.apifyusercontent.com/gj9dcxUbCGtMjsxKBH8EQ4XU47Z1bB42i90Rhi70AUI/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItbXJUaG1LTG1reEpQZWh4Q2ctR2pEWFc2bVNDZi02MTEwOS5wbmc.webp){kind=avatar}
![Linkedin Profile Comments [NO COOKIES] avatar](https://images.apifyusercontent.com/LBv9-r1YAVdma2Bs-RohYzRO9O0gz_Nq4-JNXqQx_JI/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItN1ROY1JPZTFDMkNRRE8zd2wtbTRYeUxMUFNPeC02MTEwOS5wbmc.webp){kind=avatar}
