Linkedin Jobs Scrapper 🔍🔥
Pricing
$10.00/month + usage
Go to Store
Linkedin Jobs Scrapper 🔍🔥
Get detailed and insightful data just by entering few information, No need to worry about Cookies and Authentication.
0.0 (0)
Pricing
$10.00/month + usage
4
Monthly users
11
Runs succeeded
>99%
Last modified
5 months ago
You can access the Linkedin Jobs Scrapper 🔍🔥 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "OiDt5U0wpMBWudmeP"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/sanjeta~linkedin-jobs-scrapper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-sanjeta-linkedin-jobs-scrapper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/sanjeta~linkedin-jobs-scrapper/runs": {
50 "post": {
51 "operationId": "runs-sync-sanjeta-linkedin-jobs-scrapper",
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/sanjeta~linkedin-jobs-scrapper/run-sync": {
93 "post": {
94 "operationId": "run-sync-sanjeta-linkedin-jobs-scrapper",
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 "properties": {
134 "job_title": {
135 "title": "Job title",
136 "type": "string",
137 "description": "Job title ex. React Developer"
138 },
139 "job_location": {
140 "title": "Job location",
141 "type": "string",
142 "description": "Job location , ex. New York"
143 },
144 "experience_level": {
145 "title": "Experience Level",
146 "type": "array",
147 "description": "Array of string values <br> <br> <table><thead><tr><th>Experience Level</th><th>Value</th></tr></thead><tbody><tr><td>Internship</td><td>1</td></tr><tr><td>Entry level</td><td>2</td></tr><tr><td>Associate</td><td>3</td></tr><tr><td>Mid-Senior level</td><td>4</td></tr><tr><td>Director</td><td>5</td></tr><tr><td>Executive</td><td>6</td></tr></tbody></table> <br> <br> ex. [\"1\",\"2\"]",
148 "items": {
149 "type": "string",
150 "enum": [
151 "1",
152 "2",
153 "3",
154 "4",
155 "5",
156 "6"
157 ],
158 "enumTitles": [
159 "Internship",
160 "Entry level",
161 "Associate",
162 "Mid-Senior level",
163 "Director",
164 "Executive"
165 ]
166 }
167 },
168 "onsite_remote": {
169 "title": "On-site/Remote",
170 "type": "array",
171 "description": "Remote work preference <br><br> <table><thead><tr><th>On-site/Remote</th><th>Enum</th></tr></thead><tbody><tr><td>On-site</td><td>1</td></tr><tr><td>Remote</td><td>2</td></tr><tr><td>Hybrid</td><td>3</td></tr></tbody></table> <br><br> ex. [\"1\",\"2\"] ",
172 "items": {
173 "type": "string",
174 "enum": [
175 "1",
176 "2",
177 "3"
178 ],
179 "enumTitles": [
180 "On-site",
181 "Remote",
182 "Hybrid"
183 ]
184 }
185 },
186 "job_type": {
187 "title": "Job type",
188 "type": "array",
189 "description": "Job type <br><br> <table><thead><tr><th>Job type</th><th>Enum</th></tr></thead><tbody><tr><td>Full-time</td><td>F</td></tr><tr><td>Contract</td><td>C</td></tr><tr><td>Temporary</td><td>T</td></tr><tr><td>Internship</td><td>I</td></tr></tbody></table> <br><br> ex. [\"F\",\"C\"] ",
190 "items": {
191 "type": "string",
192 "enum": [
193 "F",
194 "C",
195 "T",
196 "I"
197 ],
198 "enumTitles": [
199 "Full-time",
200 "Contract",
201 "Temporary",
202 "Internship"
203 ]
204 }
205 },
206 "offset": {
207 "title": "Offset",
208 "type": "integer",
209 "description": "Enter offset to fetch next page",
210 "default": 0
211 },
212 "detailed": {
213 "title": "Detailed Response",
214 "type": "boolean",
215 "description": "Each job object will have more details",
216 "default": false
217 }
218 }
219 },
220 "runsResponseSchema": {
221 "type": "object",
222 "properties": {
223 "data": {
224 "type": "object",
225 "properties": {
226 "id": {
227 "type": "string"
228 },
229 "actId": {
230 "type": "string"
231 },
232 "userId": {
233 "type": "string"
234 },
235 "startedAt": {
236 "type": "string",
237 "format": "date-time",
238 "example": "2025-01-08T00:00:00.000Z"
239 },
240 "finishedAt": {
241 "type": "string",
242 "format": "date-time",
243 "example": "2025-01-08T00:00:00.000Z"
244 },
245 "status": {
246 "type": "string",
247 "example": "READY"
248 },
249 "meta": {
250 "type": "object",
251 "properties": {
252 "origin": {
253 "type": "string",
254 "example": "API"
255 },
256 "userAgent": {
257 "type": "string"
258 }
259 }
260 },
261 "stats": {
262 "type": "object",
263 "properties": {
264 "inputBodyLen": {
265 "type": "integer",
266 "example": 2000
267 },
268 "rebootCount": {
269 "type": "integer",
270 "example": 0
271 },
272 "restartCount": {
273 "type": "integer",
274 "example": 0
275 },
276 "resurrectCount": {
277 "type": "integer",
278 "example": 0
279 },
280 "computeUnits": {
281 "type": "integer",
282 "example": 0
283 }
284 }
285 },
286 "options": {
287 "type": "object",
288 "properties": {
289 "build": {
290 "type": "string",
291 "example": "latest"
292 },
293 "timeoutSecs": {
294 "type": "integer",
295 "example": 300
296 },
297 "memoryMbytes": {
298 "type": "integer",
299 "example": 1024
300 },
301 "diskMbytes": {
302 "type": "integer",
303 "example": 2048
304 }
305 }
306 },
307 "buildId": {
308 "type": "string"
309 },
310 "defaultKeyValueStoreId": {
311 "type": "string"
312 },
313 "defaultDatasetId": {
314 "type": "string"
315 },
316 "defaultRequestQueueId": {
317 "type": "string"
318 },
319 "buildNumber": {
320 "type": "string",
321 "example": "1.0.0"
322 },
323 "containerUrl": {
324 "type": "string"
325 },
326 "usage": {
327 "type": "object",
328 "properties": {
329 "ACTOR_COMPUTE_UNITS": {
330 "type": "integer",
331 "example": 0
332 },
333 "DATASET_READS": {
334 "type": "integer",
335 "example": 0
336 },
337 "DATASET_WRITES": {
338 "type": "integer",
339 "example": 0
340 },
341 "KEY_VALUE_STORE_READS": {
342 "type": "integer",
343 "example": 0
344 },
345 "KEY_VALUE_STORE_WRITES": {
346 "type": "integer",
347 "example": 1
348 },
349 "KEY_VALUE_STORE_LISTS": {
350 "type": "integer",
351 "example": 0
352 },
353 "REQUEST_QUEUE_READS": {
354 "type": "integer",
355 "example": 0
356 },
357 "REQUEST_QUEUE_WRITES": {
358 "type": "integer",
359 "example": 0
360 },
361 "DATA_TRANSFER_INTERNAL_GBYTES": {
362 "type": "integer",
363 "example": 0
364 },
365 "DATA_TRANSFER_EXTERNAL_GBYTES": {
366 "type": "integer",
367 "example": 0
368 },
369 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
370 "type": "integer",
371 "example": 0
372 },
373 "PROXY_SERPS": {
374 "type": "integer",
375 "example": 0
376 }
377 }
378 },
379 "usageTotalUsd": {
380 "type": "number",
381 "example": 0.00005
382 },
383 "usageUsd": {
384 "type": "object",
385 "properties": {
386 "ACTOR_COMPUTE_UNITS": {
387 "type": "integer",
388 "example": 0
389 },
390 "DATASET_READS": {
391 "type": "integer",
392 "example": 0
393 },
394 "DATASET_WRITES": {
395 "type": "integer",
396 "example": 0
397 },
398 "KEY_VALUE_STORE_READS": {
399 "type": "integer",
400 "example": 0
401 },
402 "KEY_VALUE_STORE_WRITES": {
403 "type": "number",
404 "example": 0.00005
405 },
406 "KEY_VALUE_STORE_LISTS": {
407 "type": "integer",
408 "example": 0
409 },
410 "REQUEST_QUEUE_READS": {
411 "type": "integer",
412 "example": 0
413 },
414 "REQUEST_QUEUE_WRITES": {
415 "type": "integer",
416 "example": 0
417 },
418 "DATA_TRANSFER_INTERNAL_GBYTES": {
419 "type": "integer",
420 "example": 0
421 },
422 "DATA_TRANSFER_EXTERNAL_GBYTES": {
423 "type": "integer",
424 "example": 0
425 },
426 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
427 "type": "integer",
428 "example": 0
429 },
430 "PROXY_SERPS": {
431 "type": "integer",
432 "example": 0
433 }
434 }
435 }
436 }
437 }
438 }
439 }
440 }
441 }
442}Linkedin Jobs Scrapper 🔍🔥 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 Scrapper 🔍🔥 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
2 hours
Price
$10.00
