Sourcelane

YouTube Email Scraper

YouTube

Operated by Sourcelane✓ verified

A YouTube-focused email-extraction connector that scans channel About pages and recent video descriptions in bulk to locate publicly-posted contact emails; it performs pattern matching, deduplication, normalization (lowercasing, punctuation cleanup) and false-positive filtering, and returns one per-channel record containing found emails, an audit trail linking each match to its source (channel About or specific video with URL and title), canonical channel metadata, public subscriber count, how many recent videos were scanned, and a success/error status.

Verified Sep 28, 3:56 AM

$0.05

per channel

Up to 20 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-email-scraper","params":{"channelUrls":["@mkbhd"]},"maxResults":10}'

Request params

FieldTypeRequiredDescription
channelUrlsarrayrequiredYouTube channel URLs or handles. Accepts @handle, /c/, /channel/, /user/, or full URL. Up to 10 per run.
maxVideosToScanintegeroptionalNumber of recent videos to scan per channel. 0 = scan only the About description. Higher values find more emails but take longer.

Each result contains

FieldTypeDescription
inputUrlstringInput Url
channelIdstringChannel Id
channelNamestringChannel Name
channelUrlstringChannel Url
channelDescriptionstringChannel Description
subscriberCountintegerSubscriber Count
emailsarrayEmails
emailSourcesarray—
videosScannedintegerVideos Scanned
proxyUsedstringProxy Used
statusstringStatus
errornull—

Use YouTube Email Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Get the transcript of this video and turn it into a blog outline: <url>”

Connect Claude

Web, desktop and mobile. Paste one URL.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 3Paste the URL and click Add — done
Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json
{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json
{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json
{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL
https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-email-scraper","params":{"channelUrls":["@mkbhd"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python
import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "youtube-email-scraper",
        "params": {"channelUrls":["@mkbhd"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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