# Kick Scraper — Streamers, Live Stats, Clips & VODs (`brick_joey_yto/kick-scraper`) Actor

Scrape Kick streamers, live streams, clips and VODs — followers, live viewer counts, stream titles, categories and clip stats. No login required. From $1/1,000 results.

- **URL**: https://apify.com/brick\_joey\_yto/kick-scraper.md
- **Developed by:** [William Billings](https://apify.com/brick_joey_yto) (community)
- **Categories:** Social media, Videos, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Kick Scraper — Streamers, Live Stats, Clips & VODs

Extract data from **Kick** — the fast-growing livestreaming platform — via its public APIs. **No login, no cookies, no API key.** Pure HTTP, fast and cheap.

### What it extracts

| Mode | Input | Output |
|---|---|---|
| `channel` | Channel slugs or URLs | Followers, verified/affiliate status, **live status + viewer count**, stream title, language, recent categories, playback URL |
| `search` | Keyword | Matching channels (with followers + live status), live streams, categories |
| `clips` | Channel slugs/URLs | Clip titles, URLs, views, likes, duration, clipper ID — cursor-paginated |
| `vods` | Channel slugs/URLs | Past broadcasts: title, views, peak viewers, duration, categories, video URL |
| `categories` | — | Top categories leaderboard: name, total viewers, tags, promoted flag |

### Example input

```json
{
  "mode": "channel",
  "targets": ["xqc", "https://kick.com/adinross"],
  "maxResults": 50
}
```

```json
{
  "mode": "search",
  "query": "drdisrespect",
  "maxResults": 25
}
```

### Use cases

- **Talent & sponsorship vetting** — pull follower counts, live viewership and recent categories for a roster of streamers; schedule weekly to track growth
- **Stream monitoring** — `channel` mode returns live status + current viewers; run on a schedule for uptime/audience tracking
- **Clip mining** — pull a channel's top clips for content repurposing or trend analysis
- **Category analytics** — `categories` gives the live leaderboard (viewer totals per category) for market sizing
- **Competitive intel** — Kick is the streaming alternative brands are testing; be first to measure it systematically

### Notes

- All endpoints are public and anonymous — verified live
- Clips/VODs paginate by cursor — set `maxResults` high for full archives
- Kick's API is permissive, but for very large crawls enable Apify proxies
- Kick is a live platform; stream fields reflect the moment of extraction

# Actor input Schema

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

What to extract. All modes use Kick's public APIs — no login or token required.

## `targets` (type: `array`):

For channel/clips/vods modes: channel slugs or URLs (e.g. 'xqc' or 'https://kick.com/xqc').

## `query` (type: `string`):

Keyword for search mode — matches channel names, stream titles and categories.

## `maxResults` (type: `integer`):

Maximum items to return per run (per channel for clips/vods).

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

Optional Apify proxy settings. Not usually needed — Kick's API is permissive — but recommended for very large runs.

## Actor input object example

```json
{
  "mode": "channel",
  "targets": [
    "xqc"
  ],
  "query": "drdisrespect",
  "maxResults": 50
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing the scraped Kick items

# 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 = {
    "targets": [
        "xqc"
    ],
    "query": "drdisrespect"
};

// Run the Actor and wait for it to finish
const run = await client.actor("brick_joey_yto/kick-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 = {
    "targets": ["xqc"],
    "query": "drdisrespect",
}

# Run the Actor and wait for it to finish
run = client.actor("brick_joey_yto/kick-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 '{
  "targets": [
    "xqc"
  ],
  "query": "drdisrespect"
}' |
apify call brick_joey_yto/kick-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brick_joey_yto/kick-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/WtwsalyiEGiuYnADd/builds/3deDStCDQC3h2jseK/openapi.json