Rapid Linkedin Scraper | Free Linkedin Jobs Scraper
Pricing
Pay per usage
Go to Store
Rapid Linkedin Scraper | Free Linkedin Jobs Scraper
Boost your job scraping with Rapid LinkedIn Scraper without account cookies! Effortlessly extract job listings, company details, and full job info in minutes. Automate job scraping with ease and stay ahead in your career. Fast, reliable, and efficient—get the data you need instantly. Try it now!
5.0 (4)
Pricing
Pay per usage
19
Monthly users
118
Runs succeeded
>99%
Response time
2.4 hours
Last modified
6 days ago
You can access the Rapid Linkedin Scraper | Free Linkedin Jobs Scraper 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": "1.1",
5 "x-build-id": "IZqjyVIocQnH4KxbN"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/worldunboxer~rapid-linkedin-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-worldunboxer-rapid-linkedin-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/worldunboxer~rapid-linkedin-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-worldunboxer-rapid-linkedin-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/worldunboxer~rapid-linkedin-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-worldunboxer-rapid-linkedin-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "properties": {
134 "job_title": {
135 "title": "Job Title",
136 "type": "string",
137 "description": "Enter the Job title you want to search for"
138 },
139 "location": {
140 "title": "Location",
141 "type": "string",
142 "description": "Enter the location you want to search for"
143 },
144 "jobs_entries": {
145 "title": "Number of Jobs Entries you want",
146 "minimum": 1,
147 "maximum": 10000,
148 "type": "integer",
149 "description": "Enter the number of jobs you want to scrape",
150 "default": 100
151 },
152 "company_names": {
153 "title": "Company Names",
154 "type": "array",
155 "description": "Only search for these companies",
156 "items": {
157 "type": "string"
158 }
159 },
160 "experience_level": {
161 "title": "Experience level",
162 "enum": [
163 "1",
164 "2",
165 "3",
166 "4",
167 "5",
168 "6"
169 ],
170 "type": "string",
171 "description": "Select job experience level"
172 },
173 "job_type": {
174 "title": "Job Type",
175 "enum": [
176 "F",
177 "P",
178 "C",
179 "T",
180 "V",
181 "I",
182 "O"
183 ],
184 "type": "string",
185 "description": "Select Job type you need."
186 },
187 "work_schedule": {
188 "title": "Work Schedule",
189 "enum": [
190 "1",
191 "2",
192 "3"
193 ],
194 "type": "string",
195 "description": "Select what type of work schedule you need."
196 },
197 "job_post_time": {
198 "title": "Job Posting Time",
199 "enum": [
200 "",
201 "r86400",
202 "r604800",
203 "r2592000"
204 ],
205 "type": "string",
206 "description": "Select on basis of job posting time."
207 },
208 "start_jobs": {
209 "title": "Search After how many jobs",
210 "minimum": 0,
211 "type": "integer",
212 "description": "Start search after this number of jobs",
213 "default": 0
214 }
215 }
216 },
217 "runsResponseSchema": {
218 "type": "object",
219 "properties": {
220 "data": {
221 "type": "object",
222 "properties": {
223 "id": {
224 "type": "string"
225 },
226 "actId": {
227 "type": "string"
228 },
229 "userId": {
230 "type": "string"
231 },
232 "startedAt": {
233 "type": "string",
234 "format": "date-time",
235 "example": "2025-01-08T00:00:00.000Z"
236 },
237 "finishedAt": {
238 "type": "string",
239 "format": "date-time",
240 "example": "2025-01-08T00:00:00.000Z"
241 },
242 "status": {
243 "type": "string",
244 "example": "READY"
245 },
246 "meta": {
247 "type": "object",
248 "properties": {
249 "origin": {
250 "type": "string",
251 "example": "API"
252 },
253 "userAgent": {
254 "type": "string"
255 }
256 }
257 },
258 "stats": {
259 "type": "object",
260 "properties": {
261 "inputBodyLen": {
262 "type": "integer",
263 "example": 2000
264 },
265 "rebootCount": {
266 "type": "integer",
267 "example": 0
268 },
269 "restartCount": {
270 "type": "integer",
271 "example": 0
272 },
273 "resurrectCount": {
274 "type": "integer",
275 "example": 0
276 },
277 "computeUnits": {
278 "type": "integer",
279 "example": 0
280 }
281 }
282 },
283 "options": {
284 "type": "object",
285 "properties": {
286 "build": {
287 "type": "string",
288 "example": "latest"
289 },
290 "timeoutSecs": {
291 "type": "integer",
292 "example": 300
293 },
294 "memoryMbytes": {
295 "type": "integer",
296 "example": 1024
297 },
298 "diskMbytes": {
299 "type": "integer",
300 "example": 2048
301 }
302 }
303 },
304 "buildId": {
305 "type": "string"
306 },
307 "defaultKeyValueStoreId": {
308 "type": "string"
309 },
310 "defaultDatasetId": {
311 "type": "string"
312 },
313 "defaultRequestQueueId": {
314 "type": "string"
315 },
316 "buildNumber": {
317 "type": "string",
318 "example": "1.0.0"
319 },
320 "containerUrl": {
321 "type": "string"
322 },
323 "usage": {
324 "type": "object",
325 "properties": {
326 "ACTOR_COMPUTE_UNITS": {
327 "type": "integer",
328 "example": 0
329 },
330 "DATASET_READS": {
331 "type": "integer",
332 "example": 0
333 },
334 "DATASET_WRITES": {
335 "type": "integer",
336 "example": 0
337 },
338 "KEY_VALUE_STORE_READS": {
339 "type": "integer",
340 "example": 0
341 },
342 "KEY_VALUE_STORE_WRITES": {
343 "type": "integer",
344 "example": 1
345 },
346 "KEY_VALUE_STORE_LISTS": {
347 "type": "integer",
348 "example": 0
349 },
350 "REQUEST_QUEUE_READS": {
351 "type": "integer",
352 "example": 0
353 },
354 "REQUEST_QUEUE_WRITES": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATA_TRANSFER_INTERNAL_GBYTES": {
359 "type": "integer",
360 "example": 0
361 },
362 "DATA_TRANSFER_EXTERNAL_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "PROXY_SERPS": {
371 "type": "integer",
372 "example": 0
373 }
374 }
375 },
376 "usageTotalUsd": {
377 "type": "number",
378 "example": 0.00005
379 },
380 "usageUsd": {
381 "type": "object",
382 "properties": {
383 "ACTOR_COMPUTE_UNITS": {
384 "type": "integer",
385 "example": 0
386 },
387 "DATASET_READS": {
388 "type": "integer",
389 "example": 0
390 },
391 "DATASET_WRITES": {
392 "type": "integer",
393 "example": 0
394 },
395 "KEY_VALUE_STORE_READS": {
396 "type": "integer",
397 "example": 0
398 },
399 "KEY_VALUE_STORE_WRITES": {
400 "type": "number",
401 "example": 0.00005
402 },
403 "KEY_VALUE_STORE_LISTS": {
404 "type": "integer",
405 "example": 0
406 },
407 "REQUEST_QUEUE_READS": {
408 "type": "integer",
409 "example": 0
410 },
411 "REQUEST_QUEUE_WRITES": {
412 "type": "integer",
413 "example": 0
414 },
415 "DATA_TRANSFER_INTERNAL_GBYTES": {
416 "type": "integer",
417 "example": 0
418 },
419 "DATA_TRANSFER_EXTERNAL_GBYTES": {
420 "type": "integer",
421 "example": 0
422 },
423 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
424 "type": "integer",
425 "example": 0
426 },
427 "PROXY_SERPS": {
428 "type": "integer",
429 "example": 0
430 }
431 }
432 }
433 }
434 }
435 }
436 }
437 }
438 }
439}Rapid Linkedin Scraper | Free Linkedin Jobs Scraper 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 Rapid Linkedin Scraper | Free Linkedin Jobs Scraper 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 usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
