# Likee Scraper (Videos & Profiles) (`neuro-scraper/likee-scraper`) Actor

Likee Scraper (Videos & Profiles) SD - Likee Scraper (Videos & Profiles) is a logged-out tool that extracts Likee profile videos, share-link videos with the mp4, creator profiles and analytics, creator discovery by country and trending hashtags: views, likes, comments, shares, engagement.

- **URL**: https://apify.com/neuro-scraper/likee-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

./README.md

# Actor input Schema

## `profileUrls` (type: `array`):

Likee creators, one per line: a handle (itz.danila or @itz.danila), a profile link (https://likee.video/@itz.danila), a single post (https://likee.video/@itz.danila/video/<postId> or itz.danila/<postId>), a share link (https://l.likee.video/v/oaoej1) or an internal id written uid:1341551642. Each profile's videos are read newest first.

## `videoUrls` (type: `array`):

Optional. Likee share links (in the app: Share > Copy link), e.g. https://l.likee.video/v/oaoej1 or https://likee.video/v/sepkYQ. Each gives one video row with the direct mp4 link (videoUrl). Counts on these rows are Likee's rounded display numbers (countPrecision = rounded).

## `uids` (type: `array`):

Optional. Numeric internal creator ids (authorUid in the output of an earlier run), e.g. 1341551642.

## `videosPerProfile` (type: `integer`):

How many of each profile's newest videos are read (before the filters below). Likee's feed is followed page by page (50 per page, cursor = last post id) until this number or the profile's last video. The name used by other Likee Actors (max + this name) is accepted too.

## `maxItems` (type: `integer`):

Maximum number of rows for the whole run (videos plus any profile, creator and hashtag rows). Every row is one result. maxResults is accepted as the same setting.

## `profileVideoSorting` (type: `string`):

latest = newest first, as Likee lists them. popular = most viewed first: the newest videos up to 'Popular: videos to scan' are read, sorted by views, and the top 'Max videos per profile' are kept (Likee has no popular sort logged out).

## `popularScanDepth` (type: `integer`):

With Popular sorting: how many of the newest videos are read per profile before picking the most viewed ones.

## `publishedAfter` (type: `string`):

Optional. Only videos posted on or after this time (UTC): a day (2026-01-31), a day and time (2026-01-31T18:00:00Z) or a span back from now (7 days, 2 weeks, 3 months).

## `publishedBefore` (type: `string`):

Optional. Only videos posted on or before this time (UTC), same formats as Published after. A plain day includes that whole day.

## `minViews` (type: `integer`):

Only videos with at least this many views (applied to the rows Likee returns).

## `minLikes` (type: `integer`):

Only videos with at least this many likes.

## `minComments` (type: `integer`):

Only videos with at least this many comments (comment count; Likee serves no comment texts logged out).

## `minShares` (type: `integer`):

Only videos with at least this many shares.

## `minEngagementRate` (type: `number`):

Only videos whose (likes + comments + shares) / views x 100 is at least this. Example: 5

## `captionContains` (type: `string`):

Optional. Only videos whose caption contains this text (case-insensitive).

## `findInProfile` (type: `string`):

Optional. A profile (handle or link) to search for one video you can see in the app but have no link to. Give 'Caption contains (find)' and/or 'Posted on (find)'. Up to 3,000 of its newest videos are checked.

## `findByCaption` (type: `string`):

For 'Find a video in this profile': part of the video's caption (case-insensitive).

## `findByDate` (type: `string`):

For 'Find a video in this profile': the day it was posted, YYYY-MM-DD (UTC).

## `findAllMatches` (type: `boolean`):

For 'Find a video in this profile': return every matching video instead of only the first (newest).

## `includeProfileSummary` (type: `boolean`):

Add one row per profile (type = profile): followers, following, total likes, video count, bio, verified label, level, plus analytics over the videos read (videos analyzed, posts per week, posts in the last 7 / 30 days, average and median views, average likes / comments / shares / engagement rate, views per follower, best video). Counts as one result.

## `engagementScore` (type: `boolean`):

Add authorMedianViews, viewsVsAuthorMedian and engagementVsAuthorMedian to each video, computed over the videos read for that creator.

## `mode` (type: `string`):

snapshot = every matching video. new = only videos this monitor has not returned before. changed = new videos plus videos whose views, likes, comments or shares changed, with the deltas since the previous observation. The history is kept in your key-value store 'likee-scraper-monitor-<monitor name>'.

## `onlyNewVideos` (type: `boolean`):

Same as Output mode = new.

## `monitorName` (type: `string`):

For the new / changed modes: name of the history to compare with (letters, digits, hyphens). Use one name per watch list.

## `hydrateVideoUrlAuthors` (type: `boolean`):

For every video share link, also read that creator's videos (Max videos per profile).

## `discoverCreators` (type: `boolean`):

Add Likee's recommended creators for the country below as rows (type = creator) with followers and following. Likee returns one list of up to 100 creators per country.

## `country` (type: `string`):

Two-letter country code for creator discovery and trending hashtags, e.g. US, RU, ID, PK.

## `maxCreators` (type: `integer`):

How many discovered creators to return (Likee lists up to 100 per country).

## `minFollowers` (type: `integer`):

Only discovered creators with at least this many followers.

## `hydrateCreatorVideos` (type: `boolean`):

Read the videos of each discovered creator too (Max videos per profile each).

## `hashtags` (type: `array`):

Optional. Hashtags to look up on Likee's trending list for the country above: one row each (type = hashtag) with views (play count), videoCount (post count), followers and found = true/false. Likee lists no videos per hashtag logged out.

## `proxyConfiguration` (type: `object`):

Likee serves no data to some countries (measured: from Bangladesh the video feed comes back empty and share links redirect home). Residential US proxies are the default and recommended.

## Actor input object example

```json
{
  "profileUrls": [
    "itz.danila"
  ],
  "videosPerProfile": 30,
  "maxItems": 100,
  "profileVideoSorting": "latest",
  "popularScanDepth": 300,
  "minViews": 0,
  "minLikes": 0,
  "minComments": 0,
  "minShares": 0,
  "minEngagementRate": 0,
  "findAllMatches": false,
  "includeProfileSummary": false,
  "engagementScore": false,
  "mode": "snapshot",
  "onlyNewVideos": false,
  "monitorName": "default",
  "hydrateVideoUrlAuthors": false,
  "discoverCreators": false,
  "country": "US",
  "maxCreators": 20,
  "minFollowers": 0,
  "hydrateCreatorVideos": false,
  "hashtags": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "profileUrls": [
        "itz.danila"
    ],
    "hashtags": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/likee-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "profileUrls": ["itz.danila"],
    "hashtags": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/likee-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "profileUrls": [
    "itz.danila"
  ],
  "hashtags": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call neuro-scraper/likee-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/likee-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xB7uMdCJZXHTs3fUO/builds/keyA9t0wuifCBqVch/openapi.json