How to Scrape Kick.com Streamer Data in 2026: Profiles, Live Streams, VODs & Rankings

TL;DR: Want to skip the coding and scrape Kick.com right now? Jump to the pre-built solution that extracts streamer profiles, live streams, VODs, clips, and channel rankings — no API key, no proxy, no browser needed.

Why Scrape Kick.com in 2026?

Kick.com has emerged as one of the fastest-growing live streaming platforms in the world. With creators migrating from Twitch due to better revenue splits, Kick streaming data has become a goldmine for marketers, analysts, and developers.

Whether you're tracking Kick streamer analytics, monitoring live viewership trends, or researching influencer marketing opportunities, having access to structured Kick.com data is essential.

What Can You Do With Kick.com Data?

• Influencer marketing — Identify top Kick streamers for brand partnerships based on audience size, category, and engagement
• Esports analytics — Track competitive gaming trends and viewership across categories
• Brand monitoring — Monitor sponsorship ROI across Kick channels in real time
• Competitive streaming intelligence — Compare channel performance and growth patterns
• Content research — Discover trending categories, formats, and top-performing clips

The DIY Approach: Scraping Kick.com With Python

Kick.com exposes internal API endpoints that return structured JSON data. Here's how to build a basic Kick scraper with Python:

Setting Up Your Environment

pip install curl-cffi asyncio

Basic Kick.com Channel Scraper

import asyncio
from curl_cffi.requests import AsyncSession

BASE = "https://kick.com"
HEADERS = {
    "Accept": "application/json",
    "Referer": "https://kick.com/",
    "Accept-Language": "en-US,en;q=0.9",
}

async def scrape_kick_channel(channel_name: str):
    """Scrape a Kick.com channel profile."""
    async with AsyncSession() as session:
        url = f"{BASE}/api/v2/channels/{channel_name}"
        response = await session.get(
            url, headers=HEADERS, impersonate="chrome"
        )
        if response.status_code == 200:
            data = response.json()
            return {
                "channelName": channel_name,
                "displayName": data.get("user", {}).get("username"),
                "followersCount": data.get("followersCount"),
                "isLive": data.get("livestream") is not None,
                "verified": data.get("verified", False),
            }
        return None

# Usage
result = asyncio.run(scrape_kick_channel("xqc"))
print(result)

The Challenges of DIY Kick Scraping

Building your own Kick.com scraper sounds straightforward, but you'll quickly run into problems:

The Pre-Built Solution: Kick.com Streamer & Channel Analytics

Instead of maintaining your own scraper, the Kick.com Streamer & Channel Analytics actor on Apify handles everything for you — 4 scraping modes in one tool.

Why Use This Actor?

• No API key required — accesses Kick.com's public API endpoints directly
• No proxy needed — direct HTTP requests work without proxy rotation
• No browser needed — pure HTTP requests, no Playwright or Puppeteer overhead
• Lightweight — runs on 256 MB RAM with pure HTTP requests
• Pay per result — just $0.005 per data point ($5 per 1,000 results)
• Structured output — clean JSON ready for analytics, dashboards, or integrations

The 4 Scraping Modes

Mode 1: Channel Profiles (channel_details)

Get complete Kick streamer profiles with follower counts, live status, social links, and more:

{
  "mode": "channel_details",
  "channelNames": ["xqc", "amouranth", "trainwreckstv"]
}

Returns: display name, bio, avatar, banner, follower count, live status, current viewers, category, verified badge, subscriber badges, social links (Instagram, Twitter, YouTube, Discord, TikTok), and creation date.

Mode 2: Live Streams (live_streams)

Discover who's streaming live on Kick right now, filtered by category and minimum viewers:

{
  "mode": "live_streams",
  "category": "just-chatting",
  "minViewers": 100,
  "maxResults": 20,
  "sortBy": "viewers"
}

Returns: channel name, viewer count, stream title, category, start time, thumbnail, language, tags, and maturity rating.

Mode 3: VODs & Clips (channel_videos)

Extract past broadcasts and Kick clips from any channel:

{
  "mode": "channel_videos",
  "channelNames": ["xqc"],
  "videoType": "clips",
  "maxResults": 10
}

Returns: clip ID, title, duration, views, likes, category, thumbnail, video URL, creator name, and creation date.

Mode 4: Channel Rankings (top_channels)

Get a ranked list of top Kick channels sorted by live viewer count:

{
  "mode": "top_channels",
  "sortBy": "viewers",
  "category": "just-chatting",
  "maxResults": 25
}

Returns: rank, channel name, bio, avatar, current viewers, stream title, category, affiliate status, and social links.

How to Get Started

1. Sign up for a free Apify account
2. Go to the Kick.com Streamer & Channel Analytics actor page
3. Click "Try for free"
4. Select your scraping mode and enter your parameters
5. Hit Start and get structured data in seconds

Export Your Data Anywhere

Results are stored in an Apify dataset and can be exported as:

• JSON — for APIs and applications
• CSV — spreadsheet-ready for analysis
• Excel (.xlsx) — direct download
• XML — for legacy system integration

Plus, integrate directly with Google Sheets, Zapier, Make, and more.

DIY vs. Pre-Built: The Comparison

Real-World Use Case Workflows

Influencer Marketing Agency

Use channel_details mode to bulk-analyze potential Kick partners:

{
  "mode": "channel_details",
  "channelNames": ["streamer1", "streamer2", "streamer3", "streamer4"]
}

Then filter by follower count, live status, and engagement to find the best fits for your brand campaigns.

Esports Data Dashboard

Combine live_streams and top_channels modes on a schedule to build a real-time Kick viewership dashboard:

{
  "mode": "live_streams",
  "category": "fortnite",
  "minViewers": 500,
  "sortBy": "viewers"
}

Schedule runs every 5 minutes for real-time monitoring, or daily for trend analysis.

Content Creator Research

Use channel_videos mode to analyze what's performing on Kick clips:

{
  "mode": "channel_videos",
  "channelNames": ["xqc", "adin"],
  "videoType": "clips",
  "maxResults": 50
}

Discover trending content formats, optimal clip lengths, and high-engagement topics.

Frequently Asked Questions

Does this need an API key to scrape Kick.com?

No. The Kick.com Streamer & Channel Analytics actor uses Kick.com's publicly accessible internal API endpoints. No authentication required.

Does it need a proxy?

No. Direct HTTP requests work without any proxy rotation needed.

Can I track live viewership on Kick in real time?

Yes. The live_streams mode returns real-time viewer counts for all currently live streams. Schedule runs every 5 minutes for continuous monitoring.

What data formats can I export?

JSON, CSV, Excel (.xlsx), and XML — all available directly from the Apify dashboard or API. Plus direct integrations with Google Sheets, Zapier, and Make.

How does Kick.com scraping compare to Twitch scraping?

Both platforms expose internal API endpoints, but Kick's API is generally more open and doesn't require authentication tokens. The same developer also offers a Twitch Streamer & Channel Analytics actor for complete cross-platform streaming intelligence.

Is scraping Kick.com legal?

This actor only accesses Kick.com's publicly available API endpoints. It does not bypass any authentication, CAPTCHA, or rate-limiting mechanisms. No private or user-authenticated data is accessed.

Start Scraping Kick.com Today

Ready to extract Kick.com streamer data at scale? The Kick.com Streamer & Channel Analytics actor on Apify gives you everything you need — 4 scraping modes, clean JSON output, and zero infrastructure to maintain.

Try it free on Apify →

No API key. No proxy. No browser. Just data.