# YouTube Shorts Scraper — $0.10/1K (`scrapesignal_labs/youtube-shorts-scraper`) Actor

Discover public YouTube Shorts by keyword and export short URLs, titles, channels, views, dates, durations, descriptions, thumbnails, and verified badges.

- **URL**: https://apify.com/scrapesignal\_labs/youtube-shorts-scraper.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Social media, Marketing, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 youtube shorts

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Shorts Scraper

Discover public YouTube Shorts by keyword or hashtag without a YouTube Data API key. The output is designed for trend research, creator discovery, content intelligence, monitoring, spreadsheets, and AI-agent workflows.

Each row includes the Short and watch URLs, title, channel when exposed by YouTube, view text, publish-age text, duration, description, thumbnail, verified badge, query, and stable ID.

```json
{
  "queries": ["AI tools", "home fitness"],
  "maxResultsPerQuery": 20,
  "countryCode": "US",
  "languageCode": "en"
}
```

The Actor recognizes YouTube's standard video, Shorts shelf, and current lockup renderers, deduplicates videos, and excludes ordinary videos longer than three minutes. Export JSON, CSV, or Excel, run by API or schedule, and connect the result to your content, webhook, Make, Zapier, or MCP pipeline.

# Actor input Schema

## `queries` (type: `array`):

One topic, product, creator niche, trend, or hashtag per line.

## `maxResultsPerQuery` (type: `integer`):

Hard output and item-price ceiling for each query.

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

Two-letter YouTube region code such as US, GB, CA, or AU.

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

Two-letter interface language such as en, es, de, or fr.

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

Number of search pages processed in parallel.

## `timeoutSeconds` (type: `integer`):

Maximum seconds to wait for each public search page.

## Actor input object example

```json
{
  "queries": [
    "AI tools"
  ],
  "maxResultsPerQuery": 20,
  "countryCode": "US",
  "languageCode": "en",
  "maxConcurrency": 3,
  "timeoutSeconds": 30
}
```

# Actor output Schema

## `dataset` (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 '<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("scrapesignal_labs/youtube-shorts-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/youtube-shorts-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 '{}' |
apify call scrapesignal_labs/youtube-shorts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/youtube-shorts-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/R8UXfAQn2cQHFcBAo/builds/mfFqVscP6tFwMxnG0/openapi.json