Twitch Categories Scraper 🎮📺 - Fast & cheap

by scrapestorm

Scrape Twitch category data for games, streamers, and viewer metrics. Perfect for trend analysis, competitive research, and content strategy. Fast and affordable.

258 runs

9 users

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Opens on Apify.com

About Twitch Categories Scraper 🎮📺 - Fast & cheap

Need to know what's really happening on Twitch, beyond just who's live? This scraper pulls the curtain back on entire game categories, giving you the raw data that platforms don't show. I use it to grab everything from the streamers currently broadcasting in a category and their viewer counts, to the specific game titles taking off. It captures those crucial audience metrics, too, which is gold for understanding real engagement. For me, the main win is spotting trends before they blow up. You can see which games are gaining steady viewership or which ones are fading, perfect for planning content or making informed decisions in the gaming space. It’s also become my go-to for competitive research; seeing what other streamers in your niche are doing successfully is much easier with all the data in one spreadsheet. Whether you're a marketer looking for sponsorship opportunities, a developer researching player interest, or a streamer trying to find your next game, this tool gets you the insights fast and without breaking the bank. It’s straightforward, does exactly what it says, and delivers clean data you can actually use.

What does this actor do?

Twitch Categories Scraper 🎮📺 - Fast & cheap is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

Cloud-based execution - no local setup required
Scalable infrastructure for large-scale operations
API access for integration with your applications
Built-in proxy rotation and anti-blocking measures
Scheduled runs and webhooks for automation

How to Use

Click "Try This Actor" to open it on Apify
Create a free Apify account if you don't have one
Configure the input parameters as needed
Run the actor and download your results

Documentation

Twitch Categories Scraper

This Apify actor scrapes Twitch categories based on a keyword search. Provide a search term, and it returns a list of matching categories with their key details.

Overview

The actor searches Twitch for categories related to your keyword. For each category found, it extracts structured data like the name, current viewer count, and associated tags. The results are stored in an Apify dataset and can be downloaded in multiple formats.

Key Features

Keyword-Based Search: Finds Twitch categories by a specific keyword (e.g., "gaming").
Extracts Key Data: For each category, retrieves:
- Category ID, name, and URL slug
- Box art image URL
- Current viewers count
- Associated genre/topic tags
Controlled Output: Use max_items to limit the number of results.
Multiple Export Formats: Download results as JSON, CSV, XML, RSS, or HTML table.
Subscription Cost: Operates on a subscription model for $18.49/month.

How to Use

Configure Input: In the actor's input, provide a JSON object with your keyword and the max_items limit.
Start the Run: Click "Start" to launch the scraper. It will navigate Twitch, collect the data, and store it.
Download Data: Once finished, access the dataset to download your results in your preferred format.

Input

The actor requires input in the following JSON format:

{
  "keyword": "your_search_term",
  "max_items": 100
}

keyword: (String) The term to search for on Twitch (e.g., "strategy").
max_items: (Number) The maximum number of category results to return.

Output

The actor outputs an array of objects, one for each scraped category. The data structure is consistent and includes the following fields:

[
  {
    "id": "21779",
    "slug": "league-of-legends",
    "name": "League of Legends",
    "displayName": "League of Legends",
    "boxArtURL": "https://static-cdn.jtvnw.net/ttv-boxart/21779-90x120.jpg",
    "viewersCount": 84949,
    "tags": ["RPG", "Strategy", "MOBA", "Action"]
  }
]

Use Cases

Trend & Research: Identify currently popular categories and viewership trends.
Content Planning: Discover categories related to specific games or topics.
Competitive Analysis: Compare viewer counts and engagement across different game categories.