# YouTube Creator Sponsorship Intelligence (`seemuapps/creator-sponsorship-intelligence`) Actor

Qualify YouTube creators using engagement, posting activity, public contacts and sponsorship disclosures.

- **URL**: https://apify.com/seemuapps/creator-sponsorship-intelligence.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, Videos
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 creator analyzeds

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/platform/actors/running/actors-in-store#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 Creator Sponsorship Intelligence

Qualify YouTube creators for sponsorship outreach in one run — real engagement rates from recent uploads, how often they already run sponsored videos, which brands they've worked with, and the public business email from their channel. Paste in channel IDs, get back a scored, ranked shortlist.

### What you get

One dataset record per creator:

- **Channel basics**: channel ID, name, country, subscriber count
- **Real performance**: average views and average engagement rate across their recent uploads — not a vanity subscriber number
- **Sponsorship history**: how many of their recent videos were sponsored, as a count and as a percentage of uploads
- **Previous sponsor mentions**: the titles of videos containing paid-partnership or `#ad` disclosures, so you can see which brands got there first
- **Contact emails**: public business emails published in the channel description
- **Sponsorship fit score**: 0–100 combining engagement, reach, sponsorship experience, and contactability
- **Tier**: `excellent` (70+), `good` (40+), or `emerging` — a ready-made shortlist filter
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- Influencer marketing — shortlist creators by real engagement instead of subscriber count
- Sponsorship outreach — get scored prospects with a public contact email already attached
- Competitive intelligence — see which creators your competitors are already sponsoring
- Agency campaign planning — qualify a long list of channels in one run and rank them by fit
- Creator CRM enrichment — refresh engagement, sponsorship rate, and tier on a schedule

### How to use

1. Paste your **YouTube channel IDs** — one per line (the `UC...` ID from a channel's URL or About page)
2. Set **Recent videos per creator** — how many recent uploads to analyze, 1–50 (default 10)
3. Run the actor — scored creators appear in the **Dataset** tab

```json
{
  "channelIds": ["UC_x5XG1OV2P6uZZ5FSM9Ttw", "UCBJycsmduvYEL83R_U4JriQ"],
  "recentVideoCount": 20
}
```

More recent videos means a more stable engagement average and a more reliable sponsorship rate — 20 to 30 is a good balance for active channels.

### Output format

```json
{
  "channelId": "UC_x5XG1OV2P6uZZ5FSM9Ttw",
  "name": "Example Creator",
  "country": "AU",
  "subscribers": 50000,
  "recentVideosAnalyzed": 10,
  "averageViews": 25000,
  "averageEngagementPercent": 6.4,
  "sponsoredVideoCount": 3,
  "sponsorshipRatePercent": 30,
  "previousSponsorMentions": ["My workflow", "Desk setup 2026"],
  "contactEmails": ["partnerships@example.com"],
  "sponsorshipFitScore": 78,
  "tier": "excellent"
}
```

### FAQ

**How is engagement calculated?** Likes plus comments divided by views, averaged across the recent uploads analyzed — the same way media kits are sanity-checked.

**How are sponsored videos detected?** From disclosure language in video titles and descriptions — "sponsored", "paid partnership", "partnered with", and `#ad`.

**Where do the contact emails come from?** Public email addresses the creator published in their own channel description. Nothing private or gated is accessed.

**Why does a big channel score lower than a small one?** The score rewards engagement and contactability, not raw size. A 50k channel with a 6% engagement rate and a public email will outrank a 2M channel with 0.3% engagement and no contact.

**Can I run it on a schedule?** Yes — re-run your creator list monthly to keep engagement rates and sponsorship history current.

**What is Fixture mode?** A deterministic sample creator returned without calling YouTube, useful for testing an integration end to end.

# Actor input Schema

## `channelIds` (type: `array`):

YouTube channel IDs to qualify for sponsorship outreach.

## `recentVideoCount` (type: `integer`):

Number of recent uploads to analyze for engagement and sponsorship disclosures.

## `fixtureMode` (type: `boolean`):

Use a deterministic sample creator without calling YouTube.

## Actor input object example

```json
{
  "channelIds": [
    "UC_x5XG1OV2P6uZZ5FSM9Ttw"
  ],
  "recentVideoCount": 10,
  "fixtureMode": false
}
```

# Actor output Schema

## `results` (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 = {
    "channelIds": [
        "UC_x5XG1OV2P6uZZ5FSM9Ttw"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/creator-sponsorship-intelligence").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 = { "channelIds": ["UC_x5XG1OV2P6uZZ5FSM9Ttw"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/creator-sponsorship-intelligence").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 '{
  "channelIds": [
    "UC_x5XG1OV2P6uZZ5FSM9Ttw"
  ]
}' |
apify call seemuapps/creator-sponsorship-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/creator-sponsorship-intelligence"
        }
    }
}

```

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/ewXrnID8hDuf6bgDD/builds/kTo2UmUEFSeiAdDSj/openapi.json