Export Likee videos and creator stats – views, likes, comments, shares, engagement rate, caption, hashtags, music, direct .mp4 for share links, followers, total likes, median views and posts per week – to CSV or JSON. Works with video share links (likee.video/v/…), profiles (likee.video/@username) and single posts (username/postId).
Powered by the likee-scraper actor on Apify. No browser, no Likee account, no login, no API key from Likee.
{
"recordType": "video",
"postId": "7697594831836915986",
"postUrl": "https://likee.video/@baby.miaa/video/7697594831836915986",
"authorUsername": "baby.miaa",
"authorFollowers": 1492827,
"description": "На очередном квесте 😜",
"views": 9741,
"likes": 2017,
"comments": 137,
"shares": 11,
"engagementRate": 22.23,
"publishedAt": "2026-10-17T11:19:19.000Z"
}Each profile also returns one profile_summary row: followers, following, total likes, verified badge, posts per week, average and median views, average engagement rate and best video.
- Create a free Apify account and copy your API token from Settings → Integrations.
- Put it in an environment variable (never in code):
export APIFY_TOKEN=your_token - Run the example:
pip install -r python/requirements.txt
python python/example.py baby.miaa itz.danila --limit 30 --popularJavaScript: cd js && npm install && node example.mjs https://likee.video/v/sepkYQ
Python (pip install "apify-client<2")
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("lagenuina_agency/likee-scraper").call(run_input={
"profileUrls": [{"url": "https://likee.video/@baby.miaa"}],
"maxVideosPerProfile": 30,
"minViews": 10000
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("description"), item.get("views"), item.get("engagementRate"))JavaScript / Node.js (npm install apify-client)
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('lagenuina_agency/likee-scraper').call({ startUrls: [{ url: 'https://likee.video/v/sepkYQ' }] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);cURL / any language – one HTTP call, results in the response:
curl -X POST "https://api.apify.com/v2/acts/lagenuina_agency~likee-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"profileUrls": [{"url": "https://likee.video/@baby.miaa"}], "maxVideosPerProfile": 20}'All input fields are documented on the actor page (Input tab).
python/example.py reads the videos of the creators you pass, prints each creator's followers, median views and average engagement, and writes likee_videos.csv (author, date, caption, views, likes, comments, shares, engagement rate, hashtags, music, post link, cover) – ready for Excel or Google Sheets.
n8n/workflow.json: every Monday 08:00 → run the actor on a creator with onlyNewVideos (only videos not seen in the previous run) → keep the main fields with a Set node → append to Google Sheets.
- In n8n: Workflows → Import from File and pick
n8n/workflow.json. - Create a Header Auth credential named
Apify API tokenwith nameAuthorizationand valueBearer <your token>, and select it in the Run Apify actor node. - Edit the JSON body (profiles, limits), set your Google Sheet ID and activate.
The run-sync-get-dataset-items endpoint waits up to 300 s; for bigger runs use /runs plus a webhook.
Give Claude, ChatGPT, Cursor or any MCP client this actor as a tool:
https://mcp.apify.com/?actors=lagenuina_agency/likee-scraper
Example config (Claude Desktop, Cursor, VS Code):
{
"mcpServers": {
"likee-scraper": {
"url": "https://mcp.apify.com/?actors=lagenuina_agency/likee-scraper"
}
}
}Sign in with Apify OAuth when asked, or send Authorization: Bearer <APIFY_TOKEN>.
Pay per result (one video or one profile summary row), platform usage included, no start fee:
| Apify plan | Per 1,000 results |
|---|---|
| Free | $8.00 |
| Bronze | $7.20 |
| Silver | $6.40 |
| Gold, Platinum, Diamond | $5.60 |
Filtered-out videos are never charged. Details on lagenuina_agency/likee-scraper.
- Ad intelligence: Google Ads Transparency · Meta Ad Library · TikTok Top Ads · LinkedIn Ad Library
- Competitor & SEO research: Similarweb traffic · Google Trends · Google Play
- Travel prices: Google Hotels · Google Flights
- Retail prices: Woolworths & Coles
- Content & social data: YouTube Transcript · Medium
All actors: apify.com/lagenuina_agency · Tutorials: assa83.github.io
Independent, not affiliated with Likee or BIGO Technology. It reads only publicly available data. Profiles and captions can contain personal data: process only what you have a legitimate reason to, in line with GDPR, other applicable laws and Likee's terms.
MIT © Quelli di Carne Genuina