# YouTube Channel and Recent Video Extractor (`quanmatrix/youtube-profile-data-extractor`) Actor

Public channel identity, feed and recent video metadata Fields are sourced directly from accessible public pages or feeds.

- **URL**: https://apify.com/quanmatrix/youtube-profile-data-extractor.md
- **Developed by:** [Rafael Barreto Haddad](https://apify.com/quanmatrix) (community)
- **Categories:** Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.94 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## YouTube Channel and Recent Video Extractor

Public channel identity, feed and recent video metadata Fields are sourced directly from accessible public pages or feeds.

### Why use this Actor

Market demand for structured public YouTube Channel & Recent Video Extractor results

### Key features

- Buyer-native inputs aligned to **YouTube channel scraper**.
- Predictable structured output in the default Apify Dataset.
- Pay Per Event pricing tied to measurable result rows or reports.
- Optional MCP connector delivery for downstream automation and AI agents.

### Quick start

Start with this working example and replace the target values with your own:

```json
{
  "ids": [
    "UC8butISFwT-Wl7EV0hUK0BQ"
  ]
}
```

The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.

### Input

- `ids` — Public source IDs or handles: YouTube public channel IDs starting UC

All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.

### Output

The Dataset exposes predictable machine-readable output. Representative fields include `results`, `summary`.

### Pricing

This Actor uses Pay Per Event. The current factory base price is **$0.001200 per result event**. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.

### Use cases

- Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
- Use the Actor from API or schedules for recurring collection, comparison or monitoring.
- Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
- Compare repeat runs when the product supports snapshots or previous-run inputs.

### Automation and AI

Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.

### Limitations

- Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
- Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
- Analytical outputs depend on the quality and coverage of the supplied or collected source data.
- Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.

### Detailed documentation

### Detailed documentation

### Detailed documentation

### Detailed documentation

### Detailed documentation

### Why use this Actor

Public channel identity, feed and recent video metadata. Manually copying records from public websites is slow and error-prone, especially when the same public profiles, packages or channels must be inspected repeatedly. This Actor accepts identifiers that buyers already have, makes direct source requests, and normalizes the observed fields into Apify Dataset rows with source links and a UTC timestamp.

Use it to build structured research tables, operational dashboards, change-monitoring pipelines or AI agent workflows. It does not produce invented rows and does not claim access to private records.

### Key features

- Source-specific extraction with explicit, traceable URLs for the source records.
- Buyer-native inputs: a list of public IDs or handles; no pre-existing Apify Dataset required.
- Typed fields for record identity and selected observed metadata; a dataset view is included.
- Empty or inaccessible results raise a clear error rather than reporting imaginary success.
- Optional MCP connector delivery for accounts that provide and authorize an appropriate compatible connector.
- Bounded input and per-source fetch limits to control cost and avoid accidental large runs.

### Input

Pass one to five entries through the ids array. For Google Play, use package names such as com.spotify.music. For Telegram, use public channel usernames such as durov without @. For YouTube, use a channel ID beginning with UC. Incorrect, deleted, private or inaccessible identifiers cannot be extracted. Other optional fields shown in the input form, when present, configure language, country or maximum returned rows.

### Output

The default Dataset contains records with identifiers and a scrapedAt UTC timestamp. Field availability depends on what the source actually exposes. The run summary is saved under the SCRAPE_SUMMARY key-value record. Use Dataset export to retrieve JSON, CSV or Excel formats, or consume records through Apify APIs.

### Example

Input JSON:

```
{"ids": ["UC8butISFwT-Wl7EV0hUK0BQ"]}
```

The successful output contains one or more normalized, verifiable source rows. Fields like author names, subscriber counts, app installs or videos are only included where applicable and observed.

### Use cases

Use this Actor in recurring product research, competitive monitoring, app-store analytics, creator research and automated decision pipelines. Analysts can compare snapshots externally to detect changes; AI agents can consume the structured schema instead of parsing full pages. Keep in mind that this Actor provides the collected facts, not inferred or certain decisions.

### Pricing

The factory intends pay-per-result pricing of USD 0.0012 for each primary delivered record, subject to the pricing displayed in the Apify Marketplace if/when this product is published. Network/proxy/resource costs and account plan conditions may also apply. Check the actual Apify pricing before running.

### Limitations

Only publicly accessible content is queried. Website interfaces and undocumented feeds can change, leading to temporary errors. Some sites rate-limit bulk extraction. No restricted, private or authentication-protected content is bypassed. App review data can differ by country or language. Channel RSS covers only recent published videos, not subscriber counts or private analytics. Telegram public previews provide only currently visible messages and may not contain a channel's full history.

### Trust and operation

Generated records are source observations rather than fabricated demonstrations. Inputs are processed within Apify execution. Avoid feeding private identifiers. If a source stops publishing a public endpoint, this Actor should report failure; consumers should not assume an empty response means zero underlying activity.

# Changelog

This Actor's version history is a separate document: https://apify.com/quanmatrix/youtube-profile-data-extractor/changelog.md

# Actor input Schema

## `ids` (type: `array`):

YouTube public channel IDs starting UC

## `mcpConnectors` (type: `array`):

Optional MCP connectors authorized in your Apify account. Use them to send or write this Actor result to tools such as Slack, Notion, GitHub, Sentry, Supabase, or another compatible MCP service.

## `mcpActionPreset` (type: `string`):

Choose a safe action pattern. AUTO_SAFE_WRITE discovers a compatible non-destructive write tool automatically; use a specific preset for Slack, GitHub, Notion, or database delivery.

## `mcpToolName` (type: `string`):

Optional exact MCP tool name. Leave blank to let the selected MCP action preset discover a compatible tool automatically.

## `mcpToolArguments` (type: `object`):

JSON object passed to the selected MCP tool. String values may use {{actor_title}}, {{result_summary}}, or {{result_json}} placeholders.

## `mcpFailOnError` (type: `boolean`):

When enabled, an MCP delivery error fails the Actor run. Disabled by default so data extraction and intelligence results remain available even if the external destination is unavailable.

## Actor input object example

```json
{
  "ids": [
    "UCSJ4gkVC6NrvII8umztf0Ow"
  ],
  "mcpActionPreset": "AUTO_SAFE_WRITE",
  "mcpToolName": "",
  "mcpToolArguments": {},
  "mcpFailOnError": false
}
```

# Actor output Schema

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

Public channel identity, feed and recent video metadata

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

Run result

# 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 = {
    "ids": [
        "UCSJ4gkVC6NrvII8umztf0Ow"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("quanmatrix/youtube-profile-data-extractor").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 = { "ids": ["UCSJ4gkVC6NrvII8umztf0Ow"] }

# Run the Actor and wait for it to finish
run = client.actor("quanmatrix/youtube-profile-data-extractor").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 '{
  "ids": [
    "UCSJ4gkVC6NrvII8umztf0Ow"
  ]
}' |
apify call quanmatrix/youtube-profile-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quanmatrix/youtube-profile-data-extractor"
        }
    }
}
```

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/kjUPJ8355Xn49aex5/builds/MsctI7zrKwK5H1bK5/openapi.json