YouTube Comment Insights

YouTube

Operated by Sourcelane✓ verified

Transforms YouTube video comment collections into a single audience insights report: sentiment analysis with positive/negative/neutral percentages and a consolidated sentiment score; extraction of top content keywords with counts; detection and tallying of viewer requests with examples; identification of highest-engaged questions from viewers; flagging and exemplifying recurring complaints (e.g., clickbait, length, audio); listing the most-liked comments with author and like counts; plus basic video context such as title, channel, view count, reported comment count, and how many comments were analyzed. Uses deterministic keyword- and sentiment-based heuristics driven by a hand-curated positive/negative lexicon and pattern matching for requests, questions, and complaints, producing reproducible, count- and example-oriented outputs suitable for audience analysis, content keyword discovery, and engagement prioritization.

Verified Sep 28, 12:10 AM

$0.08

per video

Up to 12 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Content planning: identify topics viewers request or discuss most
Audience research: measure viewer sentiment and engagement trends at a glance
Competitor analysis: analyze rival videos to uncover unmet audience demand
Community management: surface top questions and complaints worth responding to
Creator vetting: evaluate real audience reception before sponsorships or collaborations

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

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://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-comment-insights","params":{"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`videoUrls`	array	required	List of YouTube video watch URLs or bare 11-character video IDs. Supports youtu.be/ID, watch?v=ID, and shorts/ID formats.
`maxCommentsPerVideo`	integer	optional	How many top-level comments to analyze per video (20-1000). Higher values give richer insights but use more quota and time.
`commentOrder`	string	optional	Order in which comments are fetched: Relevance (top/most engaged comments) or Newest (most recent first).

Each result contains

Field	Type	Description
`videoId`	string	Video Id
`videoUrl`	string	Video Url
`videoTitle`	string	Video Title
`channelTitle`	string	Channel Title
`viewCount`	integer	View Count
`commentCountReported`	integer	Comment Count Reported
`commentsAnalyzed`	integer	Comments Analyzed
`totalCommentLikes`	integer	Total Comment Likes
`sentimentPositivePct`	integer	Sentiment Positive Pct
`sentimentNegativePct`	integer	Sentiment Negative Pct
`sentimentNeutralPct`	integer	Sentiment Neutral Pct
`sentimentScore`	number	Sentiment Score
`topKeywords`	array	—
`topRequests`	object	—
`topQuestions`	array	—
`complaints`	object	—
`mostLikedComments`	array	—
`status`	string	—
`error`	null	—

Use YouTube Comment Insights 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.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-comment-insights","params":{"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},"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://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "youtube-comment-insights",
        "params": {"videoUrls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…