# YouTube Video & Channel Signals Scraper API (`oneary/youtube-video-channel-signals-scraper-api`) Actor

Extract YouTube video details, channel information, channel uploads, search results, comments, and subtitles through one structured Actor. Submit IDs, URLs, keywords, or subtitle links and receive integration-ready JSON for video research, monitoring, content intelligence, and automation.

- **URL**: https://apify.com/oneary/youtube-video-channel-signals-scraper-api.md
- **Developed by:** [Luan M.](https://apify.com/oneary) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.50 / 1,000 successful results

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 Video & Channel Signals Scraper API

YouTube scraper API for extracting structured video details, channel information, uploads, search results, comments, and subtitles from one Apify Actor. Use it for content intelligence, competitor monitoring, video research, audience analysis, transcription workflows, and AI agents.

### What this YouTube scraper extracts

- Video details by ID or full URL
- Channel information and channel video feeds
- Keyword-based video search with localization
- Video comments with continuation tokens
- Subtitle content with format and language options

Each target produces a structured dataset row. Each successful target costs `$0.0035`; failed targets become uncharged error rows.

### Example input

```json
{
  "operation": "video",
  "targets": ["dQw4w9WgXcQ"],
  "countryCode": "US",
  "languageCode": "en",
  "includeRaw": false,
  "failOnError": false,
  "maxConcurrency": 3
}
```

| Operation | Target format |
|---|---|
| `video` | Video ID or full YouTube URL |
| `channel`, `channel_videos` | Channel ID |
| `search` | Search keyword |
| `comments` | Video ID |
| `subtitles` | Subtitle URL returned by video details |

### Output and API use

The default dataset contains `product`, `platform`, `operation`, `target`, `endpoint`, `success`, `requestId`, `fetchedAt`, `latencyMs`, `data`, and `error`.

```bash
curl -X POST "https://api.apify.com/v2/acts/oneary~youtube-video-channel-signals-scraper-api/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @examples/input.json
```

### Reliability and security

- The Actor respects the maximum charge selected for each run.
- Concurrency is bounded between 1 and 10.
- Credentials are read only from environment variables.
- Localized country and language controls remain explicit.
- Failed targets remain machine-readable for safe retries.

Use the Actor only for lawful, authorized data workflows and follow applicable platform terms, privacy rules, and retention requirements.

### Development

```bash
npm test
npm run lint
npm run typecheck
npm run validate:actor
npm run build
```

# Actor input Schema

## `operation` (type: `string`):

Select the YouTube data job. The target format changes with the operation.

## `targets` (type: `array`):

Add up to 100 video IDs/URLs, channel IDs, search keywords, or subtitle URLs according to the selected operation.

## `cursor` (type: `string`):

Pagination token returned by a previous search, channel video, or comment response.

## `countryCode` (type: `string`):

Two-letter country code used for localized search and comment results.

## `languageCode` (type: `string`):

Language code used for localized search, channel, and comment results.

## `sort` (type: `string`):

Sort value passed to search or comment operations when supported.

## `subtitleFormat` (type: `string`):

Requested subtitle output format.

## `targetLanguage` (type: `string`):

Optional language code for subtitle translation.

## `fixOverlap` (type: `boolean`):

Normalize overlapping subtitle timing when supported.

## `includeRaw` (type: `boolean`):

Include request, billing, and timing metadata together with each payload.

## `failOnError` (type: `boolean`):

When disabled, failures become error rows and remaining targets continue.

## `maxConcurrency` (type: `integer`):

Number of targets processed in parallel.

## Actor input object example

```json
{
  "operation": "video",
  "targets": [
    "dQw4w9WgXcQ"
  ],
  "cursor": "",
  "countryCode": "US",
  "languageCode": "en",
  "sort": "relevance",
  "subtitleFormat": "json",
  "targetLanguage": "",
  "fixOverlap": true,
  "includeRaw": false,
  "failOnError": false,
  "maxConcurrency": 3
}
```

# Actor output Schema

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

Successful and failed target rows in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("oneary/youtube-video-channel-signals-scraper-api").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("oneary/youtube-video-channel-signals-scraper-api").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 '{}' |
apify call oneary/youtube-video-channel-signals-scraper-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,oneary/youtube-video-channel-signals-scraper-api"
        }
    }
}

```

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/cGPvYIUOwTyHbvtas/builds/L3Nda6fvJf0XXVimV/openapi.json