LinkedIn Learning Course & Learning Path Finder

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQuery": "Python machine learning",
    "urls": [],
    "maxResults": 3,
    "assetType": "COURSE",
    "sortBy": "RELEVANCE",
    "includeDetails": False,
    "proxyConfiguration": {
        "useApifyProxy": False
    }
}

run = client.actor("nimbryxo-studio/linkedin-learning-course-and-learning-path-finder").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQuery": "Python machine learning",
    "urls": [],
    "maxResults": 3,
    "assetType": "COURSE",
    "sortBy": "RELEVANCE",
    "includeDetails": false,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

const run = await client.actor("nimbryxo-studio/linkedin-learning-course-and-learning-path-finder").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~linkedin-learning-course-and-learning-path-finder/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQuery":"Python machine learning","urls":[],"maxResults":3,"assetType":"COURSE","sortBy":"RELEVANCE","includeDetails":false,"proxyConfiguration":{"useApifyProxy":false}}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/linkedin-learning-course-and-learning-path-finder",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}