An automated tool to extract email addresses and contact information from YouTube channels by keywords or direct URLs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apify-youtube-email
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install apify-youtube-email using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Email Scraper?
The YouTube Email Scraper is a powerful automation tool designed to extract public contact details directly from YouTube channels. By leveraging Openclaw Skills, users can programmatically discover influencers and business leads within specific niches without the need for a YouTube API key. This skill provides a streamlined way to collect verified email addresses, social media links, and channel statistics, making it an essential asset for anyone building outreach pipelines or conducting market research.
Built on the Apify platform, this skill handles the complexities of web scraping and data extraction asynchronously. It allows for high-volume data collection, enabling developers and marketers to move from search keywords to a structured list of potential partners in minutes. Integrating this capability into your workflow via Openclaw Skills ensures that your lead generation process is both scalable and technically robust.
YouTube Email Scraper Use Cases
- Identifying niche influencers for brand partnerships and sponsorships.
- Building lead generation databases for B2B services targeting content creators.
- Automating market research by analyzing competitor channel growth and contact info.
- Collecting verified contact data for personalized outreach campaigns based on search keywords.
- Exporting channel metadata including subscriber counts and join dates for data analysis.
How YouTube Email Scraper Works
- The user initiates a run by providing either a list of direct YouTube channel URLs or specific search keywords to the Openclaw Skills interface.
- The skill triggers an asynchronous actor on the Apify platform to begin the extraction process.
- The system automatically polls the run status at regular intervals until the task is marked as succeeded.
- Once the run is complete, the skill fetches the results from the default dataset in JSON format.
- The final output is returned as a structured array of channel data, highlighting channels that have public email addresses available.
YouTube Email Scraper Setup
To use this skill, you must have an Apify account and an API token.
- Get your token at the Apify Console under Integrations.
- Set your environment variable:
export APIFY_API_TOKEN="your_api_token_here"
- Ensure you have
curlor a similar HTTP client installed to interact with the API if using the CLI, or use the provided Python examples for integration.
YouTube Email Scraper Data Schema & Taxonomy
The skill returns a JSON array of objects. Below is the primary schema for each channel entry:
| Field | Type | Description |
|---|---|---|
channelName |
string | The display name of the YouTube channel |
subscriberCount |
string | Formatted subscriber count (e.g., "1.2M") |
emails |
array | A flat list of extracted email addresses |
hasEmails |
boolean | A flag indicating if contact emails were successfully found |
contactInfo |
object | Structured data containing emails, websites, and social media links |
channelUrl |
string | The direct link to the scraped YouTube channel |
searchKeyword |
string | The keyword that led to this channel discovery |
YouTube Email Scraper Advanced Features
- Support for multiple input modes including directUrls and keywordSearch for maximum flexibility.
- Geographic targeting using the locale parameter to find channels in specific regions.
- Configurable depth limits for channels per keyword to control resource usage and cost.
- Automatic data normalization providing convenience arrays for quick filtering of email-ready leads.
- Seamless integration with the broader Openclaw Skills ecosystem for multi-step automation workflows.
SKILL.md
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