
LinkedIn Ads Scraper
1 day trial then $25.00/month - No credit card required now

LinkedIn Ads Scraper
1 day trial then $25.00/month - No credit card required now
Extract ads of any format from LinkedIn Ad Library. Gain access to ad details, ad copy, media URL, call-to-action buttons and more. Dive deeper into the LinkedIn Ad Library for a competitive edge.
You can access the LinkedIn Ads Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.0",
5 "x-build-id": "nBzz8JYylcDs4MtnK"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/silva95gustavo~linkedin-ad-library-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-silva95gustavo-linkedin-ad-library-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/silva95gustavo~linkedin-ad-library-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-silva95gustavo-linkedin-ad-library-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/silva95gustavo~linkedin-ad-library-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-silva95gustavo-linkedin-ad-library-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 "startUrls"
135 ],
136 "properties": {
137 "startUrls": {
138 "title": "Start URLs",
139 "type": "array",
140 "description": "A list of LinkedIn Ad Library URLs.",
141 "items": {
142 "type": "object",
143 "required": [
144 "url"
145 ],
146 "properties": {
147 "url": {
148 "type": "string",
149 "title": "URL of a web page",
150 "format": "uri"
151 }
152 }
153 }
154 },
155 "proxyConfiguration": {
156 "title": "Proxy configuration",
157 "type": "object",
158 "description": "Select proxies to be used.",
159 "default": {
160 "apifyProxyGroups": [],
161 "useApifyProxy": true
162 }
163 },
164 "resultsLimit": {
165 "title": "Results limit",
166 "minimum": 1,
167 "type": "integer",
168 "description": "Maximum number of results per input URL. Free trial is limited to 300 results, please rent the actor to remove this limit."
169 }
170 }
171 },
172 "runsResponseSchema": {
173 "type": "object",
174 "properties": {
175 "data": {
176 "type": "object",
177 "properties": {
178 "id": {
179 "type": "string"
180 },
181 "actId": {
182 "type": "string"
183 },
184 "userId": {
185 "type": "string"
186 },
187 "startedAt": {
188 "type": "string",
189 "format": "date-time",
190 "example": "2025-01-08T00:00:00.000Z"
191 },
192 "finishedAt": {
193 "type": "string",
194 "format": "date-time",
195 "example": "2025-01-08T00:00:00.000Z"
196 },
197 "status": {
198 "type": "string",
199 "example": "READY"
200 },
201 "meta": {
202 "type": "object",
203 "properties": {
204 "origin": {
205 "type": "string",
206 "example": "API"
207 },
208 "userAgent": {
209 "type": "string"
210 }
211 }
212 },
213 "stats": {
214 "type": "object",
215 "properties": {
216 "inputBodyLen": {
217 "type": "integer",
218 "example": 2000
219 },
220 "rebootCount": {
221 "type": "integer",
222 "example": 0
223 },
224 "restartCount": {
225 "type": "integer",
226 "example": 0
227 },
228 "resurrectCount": {
229 "type": "integer",
230 "example": 0
231 },
232 "computeUnits": {
233 "type": "integer",
234 "example": 0
235 }
236 }
237 },
238 "options": {
239 "type": "object",
240 "properties": {
241 "build": {
242 "type": "string",
243 "example": "latest"
244 },
245 "timeoutSecs": {
246 "type": "integer",
247 "example": 300
248 },
249 "memoryMbytes": {
250 "type": "integer",
251 "example": 1024
252 },
253 "diskMbytes": {
254 "type": "integer",
255 "example": 2048
256 }
257 }
258 },
259 "buildId": {
260 "type": "string"
261 },
262 "defaultKeyValueStoreId": {
263 "type": "string"
264 },
265 "defaultDatasetId": {
266 "type": "string"
267 },
268 "defaultRequestQueueId": {
269 "type": "string"
270 },
271 "buildNumber": {
272 "type": "string",
273 "example": "1.0.0"
274 },
275 "containerUrl": {
276 "type": "string"
277 },
278 "usage": {
279 "type": "object",
280 "properties": {
281 "ACTOR_COMPUTE_UNITS": {
282 "type": "integer",
283 "example": 0
284 },
285 "DATASET_READS": {
286 "type": "integer",
287 "example": 0
288 },
289 "DATASET_WRITES": {
290 "type": "integer",
291 "example": 0
292 },
293 "KEY_VALUE_STORE_READS": {
294 "type": "integer",
295 "example": 0
296 },
297 "KEY_VALUE_STORE_WRITES": {
298 "type": "integer",
299 "example": 1
300 },
301 "KEY_VALUE_STORE_LISTS": {
302 "type": "integer",
303 "example": 0
304 },
305 "REQUEST_QUEUE_READS": {
306 "type": "integer",
307 "example": 0
308 },
309 "REQUEST_QUEUE_WRITES": {
310 "type": "integer",
311 "example": 0
312 },
313 "DATA_TRANSFER_INTERNAL_GBYTES": {
314 "type": "integer",
315 "example": 0
316 },
317 "DATA_TRANSFER_EXTERNAL_GBYTES": {
318 "type": "integer",
319 "example": 0
320 },
321 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
322 "type": "integer",
323 "example": 0
324 },
325 "PROXY_SERPS": {
326 "type": "integer",
327 "example": 0
328 }
329 }
330 },
331 "usageTotalUsd": {
332 "type": "number",
333 "example": 0.00005
334 },
335 "usageUsd": {
336 "type": "object",
337 "properties": {
338 "ACTOR_COMPUTE_UNITS": {
339 "type": "integer",
340 "example": 0
341 },
342 "DATASET_READS": {
343 "type": "integer",
344 "example": 0
345 },
346 "DATASET_WRITES": {
347 "type": "integer",
348 "example": 0
349 },
350 "KEY_VALUE_STORE_READS": {
351 "type": "integer",
352 "example": 0
353 },
354 "KEY_VALUE_STORE_WRITES": {
355 "type": "number",
356 "example": 0.00005
357 },
358 "KEY_VALUE_STORE_LISTS": {
359 "type": "integer",
360 "example": 0
361 },
362 "REQUEST_QUEUE_READS": {
363 "type": "integer",
364 "example": 0
365 },
366 "REQUEST_QUEUE_WRITES": {
367 "type": "integer",
368 "example": 0
369 },
370 "DATA_TRANSFER_INTERNAL_GBYTES": {
371 "type": "integer",
372 "example": 0
373 },
374 "DATA_TRANSFER_EXTERNAL_GBYTES": {
375 "type": "integer",
376 "example": 0
377 },
378 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
379 "type": "integer",
380 "example": 0
381 },
382 "PROXY_SERPS": {
383 "type": "integer",
384 "example": 0
385 }
386 }
387 }
388 }
389 }
390 }
391 }
392 }
393 }
394}
LinkedIn Ads 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 Ads 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:
Actor Metrics
144 monthly users
-
20 bookmarks
>99% runs succeeded
1 days response time
Created in Oct 2023
Modified 9 days ago