# YouTube Channel Benchmark — rank competitors by view velocity (`entrogix_works/youtube-channel-benchmark`) Actor

Compare several YouTube channels side by side. One row per channel: median views, view velocity, upload cadence, staleness, ranked by how fast they are actually growing. Uses YouTube's public feed; no login. Unofficial; not affiliated with YouTube or Google.

- **URL**: https://apify.com/entrogix\_works/youtube-channel-benchmark.md
- **Developed by:** [Entrogix Works](https://apify.com/entrogix_works) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 channel benchmarkeds

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## YouTube Channels Scraper — compare view velocity

Put several YouTube channels side by side and get **one row per channel**, ranked by how fast they are actually growing right now.

Total view counts tell you who has been around longest. They do not tell you who is winning this month. This Actor ranks on **view velocity** instead, so a channel that started last year can outrank one with a decade of back catalogue.

### What you get per channel

| Field | Example |
|---|---|
| `velocityRank` | `1` |
| `channelName`, `channelId`, `input` | as given and as resolved |
| `medianViews`, `maxViews` | `6867`, `41000` |
| **`medianViewsPerDay`** | `1140` |
| `medianLikeRate` | `0.0286` |
| `topShare` | `0.37` |
| **`uploadIntervalDays`** | `3.5` |
| `latestVideoAt`, `daysSinceLastVideo` | ISO 8601, `2.1` |
| `videos`, `videosWithStats` | `15`, `15` |

**`velocityRank`** is ordered by `medianViewsPerDay`, not by total views. Channels with no readable statistics get `null` rather than a rank, so they sink to the bottom instead of pretending to be last place.

**`uploadIntervalDays`** is the *median* gap between uploads. Median, not mean: a single long hiatus wrecks a mean and makes a weekly channel look bimonthly.

**`topShare`** is the share of views held by the top 10% of that channel's recent videos. High means the channel is riding one hit; low means it performs consistently. Two channels with the same median can be very different businesses.

**`daysSinceLastVideo`** exists so you can drop dormant channels from a comparison rather than reading them as "slow".

### Summary (key-value store, `BENCHMARK_SUMMARY`)

`channels`, `channelsWithData`, `medianOfMedianViewsPerDay`, `fastest`, and `stale` — the channels with no upload in over 30 days.

### Input

```json
{
  "channels": ["@mkbhd", "@LinusTechTips", "@MrBeast"]
}
```

Channel IDs (`UC...`), `@handles`, channel URLs, and playlist IDs (`PL...`) are all accepted.

**Two or more channels are required.** One channel is not a comparison, and the run is rejected rather than returning a single row that answers nothing. If you want the video list for one channel, use **YouTube Channel Scraper** instead.

### Scope and limits — please read

Each channel's numbers are computed from **the 15 most recent videos** that the public feed exposes. That is deliberately a recent-form measure, not a lifetime average — it is what makes the comparison about now rather than about history. It is not a full-catalogue analysis and should not be used as one.

Channels with no videos are still returned as a row, with counts at zero. They are not silently dropped, so you can tell "dormant" apart from "you typed the handle wrong".

Statistics the feed does not carry are returned as `null`, never `0`.

This Actor reads YouTube's own public feed endpoint. It does not log in, does not use your account, and does not touch pages that require a session.

### Pricing

Charged **per channel**, not per video — one request covers a whole channel, and the price reflects that.

### Disclaimer

**This is an unofficial tool and is not affiliated with, endorsed by, or sponsored by YouTube or Google.** "YouTube" is a trademark of Google LLC and is used here only to describe what this Actor reads. You are responsible for ensuring your use of the collected data complies with applicable law and with YouTube's terms.

# Actor input Schema

## `channels` (type: `array`):

Two or more. Channel IDs (UC...), @handles, channel URLs, or playlist IDs (PL...). One channel is not a comparison and is rejected.

## `minIntervalMs` (type: `integer`):

Pacing between channel fetches.

## `useProxy` (type: `boolean`):

Off by default. The feed is a 24 KB XML document served without a proxy, and residential bandwidth costs about 34x direct.

## `proxyType` (type: `string`):

Only used when the proxy is enabled. Datacenter is far cheaper on bandwidth than residential.

## Actor input object example

```json
{
  "channels": [
    "@mkbhd",
    "@LinusTechTips",
    "@MrBeast"
  ],
  "minIntervalMs": 2000,
  "useProxy": false,
  "proxyType": "DATACENTER"
}
```

# Actor output Schema

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

Every row this run produced, as JSON.

## `summary` (type: `string`):

Totals and medians for this run, so you can judge the rows without reading them all.

# 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 = {
    "channels": [
        "@mkbhd",
        "@LinusTechTips",
        "@MrBeast"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("entrogix_works/youtube-channel-benchmark").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 = { "channels": [
        "@mkbhd",
        "@LinusTechTips",
        "@MrBeast",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("entrogix_works/youtube-channel-benchmark").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 '{
  "channels": [
    "@mkbhd",
    "@LinusTechTips",
    "@MrBeast"
  ]
}' |
apify call entrogix_works/youtube-channel-benchmark --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,entrogix_works/youtube-channel-benchmark"
        }
    }
}

```

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/4dPr53OhjsZOIHyGw/builds/708HRRT6eaoMnmVj5/openapi.json