# Twitch Categories Scraper - Low-cost๐ฒ๐ฅ๐ฎ๐บ (`delectable_incubator/twitch-categories-scraper-low-cost`) Actor
๐ฎ Scrape Twitch categories and games to extract category names, stream titles, streamer profiles, viewer counts, tags, languages, thumbnails, and live stream data. Perfect for gaming analytics, influencer research, audience tracking, trend analysis, and AI automation. ๐๐
- **URL**: https://apify.com/delectable\_incubator/twitch-categories-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## ๐ฎ๐บ Twitch Category Scraper | Bulk Twitch Categories Scraper | Apify Actor
### ๐ Extract Twitch Categories Data in Seconds (No Code)
The **Twitch Category Scraper** is a powerful, scalable, and SEO-optimized Apify Actor designed to extract category data from Twitch search results. Collect gaming categories, viewer statistics, tags, box art, and category metadata in bulk using simple keywords.
Perfect for **stream analytics, gaming market research, influencer discovery, trend monitoring, AI datasets, esports intelligence, and content research.**
---
## ๐ฅ Why This Twitch Category Scraper?
โ Best Twitch Category Scraper on Apify
โ Supports **Bulk Keyword Scraping (Multi-Search)**
โ Fast & scalable extraction engine
โ Automatically handles pagination
โ Clean structured JSON / CSV / Excel output
โ Ideal for gaming analytics & Twitch research
โ No coding required
---
## ๐ฏ What This Scraper Does
This Apify Actor extracts Twitch categories directly from Twitch search results using one or multiple keywords.
#### ๐ Core Features
โ
Scrape Twitch categories
โ
Bulk keyword category scraping (SEO BOOST ๐)
โ
Extract category names, slugs & IDs
โ
Extract live viewers count
โ
Extract box art images
โ
Extract associated category tags
โ
Automatic pagination
โ
High-speed cloud extraction
โ
Structured export-ready datasets
---
## โก Input Configuration (Simple & Powerful)
### ๐ฅ BULK KEYWORD MODE (SEO BOOST ๐)
````
{
"keywords": \[
"gaming",
"fps",
"rpg",
"strategy",
"sports",
"music"
],
"max\_items": 300
}
```
Supports searching multiple Twitch keywords during a single run for maximum productivity.
---
## ๐ Extracted Data
| Field | Description |
|------|-------------|
| id | Twitch category ID |
| slug | Category slug |
| name | Internal category name |
| displayName | Public category name |
| boxArtURL | Category thumbnail |
| viewersCount | Current live viewers |
| tags | Associated Twitch tags |
---
## ๐ก Use Cases
๐ฎ Twitch category monitoring
๐ Gaming trend analysis
๐ฅ Audience research
๐ฏ Influencer & streamer discovery
๐ Esports intelligence
๐ Viewer analytics
๐ค AI & machine learning datasets
๐ฐ Gaming industry research
๐ก Content recommendation engines
---
## ๐ Key Features
โก Bulk keyword support
๐ Live viewer statistics
๐ผ๏ธ Category artwork extraction
๐ท๏ธ Tags extraction
๐ Automatic pagination
๐ง Structured clean output
๐พ Export-ready datasets
โ๏ธ Scalable cloud execution
---
## ๐ค Output Formats
โ JSON
โ CSV
โ Excel (XLSX)
โ XML
โ HTML
---
## ๐ฆ Example Output
```
{
"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": \[
"MOBA",
"Strategy",
"Action",
"RPG"
]
}
````
---
## ๐ฅ Why This is the BEST Twitch Category Scraper on Apify?
โ Optimized for Apify marketplace SEO
โ High-speed Twitch scraping engine
โ Bulk keyword support
โ Automatic pagination
โ Enterprise-ready scalability
โ Structured datasets ready for BI tools
โ Perfect for Twitch analytics & gaming intelligence
---
## ๐ธ Pricing
This scraper runs on a **pay-per-result** pricing model.
You only pay for successfully extracted records.
๐ณ **Price:** **$1.19 / 1,000 results**
---
## โ FAQ
#### Can I scrape multiple keywords at once?
Yes. Bulk keyword mode lets you search multiple Twitch topics in a single run.
#### Does it automatically scrape multiple pages?
Yes. Pagination is fully automated.
#### Can I export the data?
Yes.
Supported formats include JSON, CSV, Excel, XML and HTML.
#### Is coding required?
No.
This is a 100% no-code Apify Actor.
#### Can I use this for gaming analytics?
Absolutely.
It's perfect for market research, viewer analysis, esports intelligence, and AI datasets.
---
## โ ๏ธ Disclaimer
This tool is an independent data extraction solution and is not affiliated with or endorsed by Twitch.
---
## ๐ Related Actors
We are building the complete **PrimeScrape Streaming Intelligence Suite.**
๐ Coming Soon ๐
---
## ๐ PrimeScrape Ecosystem
Built for large-scale data extraction, automation, AI datasets, and market intelligence.
๐ฎ Streaming Intelligence
๐บ Creator Analytics
๐ Market Research
๐ค AI Training Data
๐ Trend Detection
โ๏ธ Automation Pipelines
---
## ๐ฌ Support
โญโญโญโญโญ Leave a review if you enjoy this scraper.
๐ฉ Contact us through Apify for enterprise requests, custom scraping solutions, or feature requests.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search Twitch Categories with (e.g., 'action', 'fps', 'rpg'). Each keyword is scraped separately, with its own item limit (see maxitems).
## `maxitems` (type: `integer`):
Maximum number of Categories to scrape from Twitch, per keyword ๐
## Actor input object example
```json
{
"keywords": [
"fps",
"rpg"
],
"maxitems": 100
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"fps",
"rpg"
],
"maxitems": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/twitch-categories-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": [
"fps",
"rpg",
],
"maxitems": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/twitch-categories-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"fps",
"rpg"
],
"maxitems": 100
}' |
apify call delectable_incubator/twitch-categories-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/twitch-categories-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Twitch Categories Scraper - Low-cost๐ฒ๐ฅ๐ฎ๐บ",
"description": "๐ฎ Scrape Twitch categories and games to extract category names, stream titles, streamer profiles, viewer counts, tags, languages, thumbnails, and live stream data. Perfect for gaming analytics, influencer research, audience tracking, trend analysis, and AI automation. ๐๐",
"version": "0.0",
"x-build-id": "TGdgFgyXEgZIhkFmk"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~twitch-categories-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-twitch-categories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~twitch-categories-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-twitch-categories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~twitch-categories-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-twitch-categories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"keywords"
],
"properties": {
"keywords": {
"title": "Search Keywords ๐",
"type": "array",
"description": "List of keywords to search Twitch Categories with (e.g., 'action', 'fps', 'rpg'). Each keyword is scraped separately, with its own item limit (see maxitems).",
"default": [
"fps",
"rpg"
],
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum number of Categories to scrape per keyword ๐",
"type": "integer",
"description": "Maximum number of Categories to scrape from Twitch, per keyword ๐",
"default": 100
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```