
LinkedIn Post Like Scraper (fullName, headline, urls etc...)
Pricing
Pay per usage

LinkedIn Post Like Scraper (fullName, headline, urls etc...)
Extract Likes with the following details from a LinkedIn post url : • FullName • Headline • LinkedIn URL • Content URL
0.0 (0)
Pricing
Pay per usage
2
Monthly users
28
Runs succeeded
97%
Last modified
2 months ago
You can access the LinkedIn Post Like Scraper (fullName, headline, urls etc...) 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": "x43oYfMTuKZ8XMehF"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/meetmagnet-owner~linkedin-post-like-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-meetmagnet-owner-linkedin-post-like-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/meetmagnet-owner~linkedin-post-like-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-meetmagnet-owner-linkedin-post-like-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/meetmagnet-owner~linkedin-post-like-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-meetmagnet-owner-linkedin-post-like-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "proxyConfiguration"
136 ],
137 "properties": {
138 "startUrls": {
139 "title": "startUrls ",
140 "type": "array",
141 "description": "URLs to start with",
142 "items": {
143 "type": "object",
144 "required": [
145 "url"
146 ],
147 "properties": {
148 "url": {
149 "type": "string",
150 "title": "URL of a web page",
151 "format": "uri"
152 }
153 }
154 }
155 },
156 "Cookies": {
157 "title": "Cookies",
158 "type": "array",
159 "description": "Cookies de session LinkedIn https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm"
160 },
161 "proxyConfiguration": {
162 "title": "Proxy configuration",
163 "type": "object",
164 "description": "Select proxies to be used by your crawler."
165 }
166 }
167 },
168 "runsResponseSchema": {
169 "type": "object",
170 "properties": {
171 "data": {
172 "type": "object",
173 "properties": {
174 "id": {
175 "type": "string"
176 },
177 "actId": {
178 "type": "string"
179 },
180 "userId": {
181 "type": "string"
182 },
183 "startedAt": {
184 "type": "string",
185 "format": "date-time",
186 "example": "2025-01-08T00:00:00.000Z"
187 },
188 "finishedAt": {
189 "type": "string",
190 "format": "date-time",
191 "example": "2025-01-08T00:00:00.000Z"
192 },
193 "status": {
194 "type": "string",
195 "example": "READY"
196 },
197 "meta": {
198 "type": "object",
199 "properties": {
200 "origin": {
201 "type": "string",
202 "example": "API"
203 },
204 "userAgent": {
205 "type": "string"
206 }
207 }
208 },
209 "stats": {
210 "type": "object",
211 "properties": {
212 "inputBodyLen": {
213 "type": "integer",
214 "example": 2000
215 },
216 "rebootCount": {
217 "type": "integer",
218 "example": 0
219 },
220 "restartCount": {
221 "type": "integer",
222 "example": 0
223 },
224 "resurrectCount": {
225 "type": "integer",
226 "example": 0
227 },
228 "computeUnits": {
229 "type": "integer",
230 "example": 0
231 }
232 }
233 },
234 "options": {
235 "type": "object",
236 "properties": {
237 "build": {
238 "type": "string",
239 "example": "latest"
240 },
241 "timeoutSecs": {
242 "type": "integer",
243 "example": 300
244 },
245 "memoryMbytes": {
246 "type": "integer",
247 "example": 1024
248 },
249 "diskMbytes": {
250 "type": "integer",
251 "example": 2048
252 }
253 }
254 },
255 "buildId": {
256 "type": "string"
257 },
258 "defaultKeyValueStoreId": {
259 "type": "string"
260 },
261 "defaultDatasetId": {
262 "type": "string"
263 },
264 "defaultRequestQueueId": {
265 "type": "string"
266 },
267 "buildNumber": {
268 "type": "string",
269 "example": "1.0.0"
270 },
271 "containerUrl": {
272 "type": "string"
273 },
274 "usage": {
275 "type": "object",
276 "properties": {
277 "ACTOR_COMPUTE_UNITS": {
278 "type": "integer",
279 "example": 0
280 },
281 "DATASET_READS": {
282 "type": "integer",
283 "example": 0
284 },
285 "DATASET_WRITES": {
286 "type": "integer",
287 "example": 0
288 },
289 "KEY_VALUE_STORE_READS": {
290 "type": "integer",
291 "example": 0
292 },
293 "KEY_VALUE_STORE_WRITES": {
294 "type": "integer",
295 "example": 1
296 },
297 "KEY_VALUE_STORE_LISTS": {
298 "type": "integer",
299 "example": 0
300 },
301 "REQUEST_QUEUE_READS": {
302 "type": "integer",
303 "example": 0
304 },
305 "REQUEST_QUEUE_WRITES": {
306 "type": "integer",
307 "example": 0
308 },
309 "DATA_TRANSFER_INTERNAL_GBYTES": {
310 "type": "integer",
311 "example": 0
312 },
313 "DATA_TRANSFER_EXTERNAL_GBYTES": {
314 "type": "integer",
315 "example": 0
316 },
317 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
318 "type": "integer",
319 "example": 0
320 },
321 "PROXY_SERPS": {
322 "type": "integer",
323 "example": 0
324 }
325 }
326 },
327 "usageTotalUsd": {
328 "type": "number",
329 "example": 0.00005
330 },
331 "usageUsd": {
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": "number",
352 "example": 0.00005
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 }
385 }
386 }
387 }
388 }
389 }
390}
LinkedIn Post Like 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 Post Like Scraper (fullName, headline, urls etc...) 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.