Snapchat AR Lens Metadata & Related Spotlight Finder

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "home",
    "category": "for_you",
    "lensUrlsOrIds": [
        "565e7595ec4e4a0da689762b127308ef"
    ],
    "keywords": [
        "food"
    ],
    "includeMoreLenses": True,
    "includeSpotlightsUsingLens": True,
    "maxItems": 24
}

run = client.actor("vexaloom-labs/snapchat-ar-lens-metadata-and-related-spotlight").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": "home",
    "category": "for_you",
    "lensUrlsOrIds": [
        "565e7595ec4e4a0da689762b127308ef"
    ],
    "keywords": [
        "food"
    ],
    "includeMoreLenses": true,
    "includeSpotlightsUsingLens": true,
    "maxItems": 24
};

const run = await client.actor("vexaloom-labs/snapchat-ar-lens-metadata-and-related-spotlight").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~snapchat-ar-lens-metadata-and-related-spotlight/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"home","category":"for_you","lensUrlsOrIds":["565e7595ec4e4a0da689762b127308ef"],"keywords":["food"],"includeMoreLenses":true,"includeSpotlightsUsingLens":true,"maxItems":24}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/snapchat-ar-lens-metadata-and-related-spotlight",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}