Linkedin Job Scraper
Try for free
3 days trial then $20.00/month - No credit card required now
Go to Store
Linkedin Job Scraper
zyra/linkedin-job-scraper
Try for free
3 days trial then $20.00/month - No credit card required now
Scraper developed to scrape job listings from LinkedIn based on specified search criteria
You can access the Linkedin Job Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "mSQ2mOFsJ1No1Nh4a"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/zyra~linkedin-job-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-zyra-linkedin-job-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/zyra~linkedin-job-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-zyra-linkedin-job-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/zyra~linkedin-job-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-zyra-linkedin-job-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 "keyword",
135 "location"
136 ],
137 "properties": {
138 "keyword": {
139 "title": "Keyword",
140 "type": "string",
141 "description": "The job title or keyword to search for."
142 },
143 "location": {
144 "title": "Location",
145 "type": "string",
146 "description": "The location where you want to search for jobs (e.g., city, state, or country)."
147 },
148 "limit": {
149 "title": "Limit",
150 "type": "integer",
151 "description": "The maximum number of job listings to retrieve. Default is 50.",
152 "default": 50
153 }
154 }
155 },
156 "runsResponseSchema": {
157 "type": "object",
158 "properties": {
159 "data": {
160 "type": "object",
161 "properties": {
162 "id": {
163 "type": "string"
164 },
165 "actId": {
166 "type": "string"
167 },
168 "userId": {
169 "type": "string"
170 },
171 "startedAt": {
172 "type": "string",
173 "format": "date-time",
174 "example": "2025-01-08T00:00:00.000Z"
175 },
176 "finishedAt": {
177 "type": "string",
178 "format": "date-time",
179 "example": "2025-01-08T00:00:00.000Z"
180 },
181 "status": {
182 "type": "string",
183 "example": "READY"
184 },
185 "meta": {
186 "type": "object",
187 "properties": {
188 "origin": {
189 "type": "string",
190 "example": "API"
191 },
192 "userAgent": {
193 "type": "string"
194 }
195 }
196 },
197 "stats": {
198 "type": "object",
199 "properties": {
200 "inputBodyLen": {
201 "type": "integer",
202 "example": 2000
203 },
204 "rebootCount": {
205 "type": "integer",
206 "example": 0
207 },
208 "restartCount": {
209 "type": "integer",
210 "example": 0
211 },
212 "resurrectCount": {
213 "type": "integer",
214 "example": 0
215 },
216 "computeUnits": {
217 "type": "integer",
218 "example": 0
219 }
220 }
221 },
222 "options": {
223 "type": "object",
224 "properties": {
225 "build": {
226 "type": "string",
227 "example": "latest"
228 },
229 "timeoutSecs": {
230 "type": "integer",
231 "example": 300
232 },
233 "memoryMbytes": {
234 "type": "integer",
235 "example": 1024
236 },
237 "diskMbytes": {
238 "type": "integer",
239 "example": 2048
240 }
241 }
242 },
243 "buildId": {
244 "type": "string"
245 },
246 "defaultKeyValueStoreId": {
247 "type": "string"
248 },
249 "defaultDatasetId": {
250 "type": "string"
251 },
252 "defaultRequestQueueId": {
253 "type": "string"
254 },
255 "buildNumber": {
256 "type": "string",
257 "example": "1.0.0"
258 },
259 "containerUrl": {
260 "type": "string"
261 },
262 "usage": {
263 "type": "object",
264 "properties": {
265 "ACTOR_COMPUTE_UNITS": {
266 "type": "integer",
267 "example": 0
268 },
269 "DATASET_READS": {
270 "type": "integer",
271 "example": 0
272 },
273 "DATASET_WRITES": {
274 "type": "integer",
275 "example": 0
276 },
277 "KEY_VALUE_STORE_READS": {
278 "type": "integer",
279 "example": 0
280 },
281 "KEY_VALUE_STORE_WRITES": {
282 "type": "integer",
283 "example": 1
284 },
285 "KEY_VALUE_STORE_LISTS": {
286 "type": "integer",
287 "example": 0
288 },
289 "REQUEST_QUEUE_READS": {
290 "type": "integer",
291 "example": 0
292 },
293 "REQUEST_QUEUE_WRITES": {
294 "type": "integer",
295 "example": 0
296 },
297 "DATA_TRANSFER_INTERNAL_GBYTES": {
298 "type": "integer",
299 "example": 0
300 },
301 "DATA_TRANSFER_EXTERNAL_GBYTES": {
302 "type": "integer",
303 "example": 0
304 },
305 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
306 "type": "integer",
307 "example": 0
308 },
309 "PROXY_SERPS": {
310 "type": "integer",
311 "example": 0
312 }
313 }
314 },
315 "usageTotalUsd": {
316 "type": "number",
317 "example": 0.00005
318 },
319 "usageUsd": {
320 "type": "object",
321 "properties": {
322 "ACTOR_COMPUTE_UNITS": {
323 "type": "integer",
324 "example": 0
325 },
326 "DATASET_READS": {
327 "type": "integer",
328 "example": 0
329 },
330 "DATASET_WRITES": {
331 "type": "integer",
332 "example": 0
333 },
334 "KEY_VALUE_STORE_READS": {
335 "type": "integer",
336 "example": 0
337 },
338 "KEY_VALUE_STORE_WRITES": {
339 "type": "number",
340 "example": 0.00005
341 },
342 "KEY_VALUE_STORE_LISTS": {
343 "type": "integer",
344 "example": 0
345 },
346 "REQUEST_QUEUE_READS": {
347 "type": "integer",
348 "example": 0
349 },
350 "REQUEST_QUEUE_WRITES": {
351 "type": "integer",
352 "example": 0
353 },
354 "DATA_TRANSFER_INTERNAL_GBYTES": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATA_TRANSFER_EXTERNAL_GBYTES": {
359 "type": "integer",
360 "example": 0
361 },
362 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "PROXY_SERPS": {
367 "type": "integer",
368 "example": 0
369 }
370 }
371 }
372 }
373 }
374 }
375 }
376 }
377 }
378}Linkedin Job 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 Linkedin Job 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:
Developer
ZyraMaintained by Community
Actor Metrics
8 monthly users
-
3 bookmarks
>99% runs succeeded
Created in Sep 2024
Modified 6 months ago
Categories
