# YouTube Channel Feed — views, view velocity, upload cadence (`entrogix_works/youtube-channel-feed-scraper`) Actor

Read YouTube channel feeds and get the latest videos with view counts, likes, view velocity and upload cadence per channel. Uses YouTube's public feed; no login. Unofficial; not affiliated with YouTube or Google.

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

## Pricing

$3.00 / 1,000 video scrapeds

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 Channel Scraper — videos with view velocity

Read YouTube channel feeds and get the latest videos **with the numbers already worked out**: view counts, like rate, how fast each video is accumulating views, and how often the channel actually ships.

Most YouTube scrapers hand you a list of videos. The question worth answering is *which channel is moving right now* — and that needs velocity and cadence, not another dump.

### What you get per video

| Field | Example |
|---|---|
| `channelName`, `channelId` | `Google for Developers` |
| `title`, `description` | full text |
| `views`, `likes`, `avgRating` | `1958`, `56`, `5.00` |
| **`viewsPerDay`** | `1673` |
| **`likeRate`** | `0.0286` |
| `publishedAt`, `updatedAt`, `ageDays` | ISO 8601, `1.17` |
| `videoId`, `url`, `thumbnail` | direct link |

**`viewsPerDay`** is views divided by days since publication. A video posted yesterday and one posted last year are not comparable on raw views; they are on this. The denominator is floored at one day, so a video published an hour ago cannot post an absurd number and take the top spot.

**`likeRate`** is likes divided by views. Two videos with the same reach can land very differently, and that shows up here rather than in the view count.

### Channel summary (key-value store, `ENGAGEMENT_SUMMARY`)

Per channel and overall: `videos`, `videosWithStats`, `medianViews`, `maxViews`, `medianViewsPerDay`, `medianLikeRate`, `topShare`, `uploadIntervalDays`.

- **`topShare`** — the share of all views captured by the top 10% of videos. Close to 1 means the channel is riding one hit; low means it performs consistently.
- **`uploadIntervalDays`** — the *median* gap between uploads. Median, not mean, because one long hiatus destroys a mean and tells you nothing about the normal rhythm.

### Input

```json
{
  "channels": ["@mkbhd", "UC_x5XG1OV2P6uZZ5FSM9Ttw"]
}
```

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

### Scope and limits — please read

**The public feed carries the 15 most recent videos and nothing older.** This Actor does not page backwards, and no setting will make it return more. Raising `maxItemsPerChannel` above 15 has no effect. To cover more ground, add channels.

This makes the output a **current-state snapshot per channel**, which is what the velocity and cadence figures are built on. It is not a channel archive and should not be used as one.

Statistics that the feed does not carry are returned as `null`, never `0`, so a missing view count cannot quietly drag a median down.

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

Pay per result — charged only for videos actually delivered to your dataset. The feed is a small XML document, so this Actor is cheap to run across many channels.

### 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`):

Channel IDs (UC...), @handles, channel URLs, or playlist IDs (PL...). All four forms are accepted.

## `maxItemsPerChannel` (type: `integer`):

The public feed returns the 15 most recent videos and nothing older, so values above 15 have no effect. To cover more, add channels.

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

Pacing between channel fetches.

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

Off by default. The feed is a 24 KB XML document that is served without a proxy, and residential bandwidth costs about 34x direct. Turn on only if your runs get blocked.

## `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",
    "UC_x5XG1OV2P6uZZ5FSM9Ttw"
  ],
  "maxItemsPerChannel": 15,
  "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",
        "UC_x5XG1OV2P6uZZ5FSM9Ttw"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("entrogix_works/youtube-channel-feed-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 = { "channels": [
        "@mkbhd",
        "UC_x5XG1OV2P6uZZ5FSM9Ttw",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("entrogix_works/youtube-channel-feed-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 '{
  "channels": [
    "@mkbhd",
    "UC_x5XG1OV2P6uZZ5FSM9Ttw"
  ]
}' |
apify call entrogix_works/youtube-channel-feed-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,entrogix_works/youtube-channel-feed-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/HaOStBJzDK02KxWuF/builds/78PPH2POFORJ9DGwK/openapi.json