YouTube Comments Scraper

YouTube

Operated by Sourcelane✓ verified

A YouTube comment scraping connector that extracts comment and reply text, author metadata, engagement metrics and video context from public YouTube pages. It supports two modes: a detailed comment-and-reply mode that returns one structured row per comment or reply (including comment identifiers and deep links, parent relationships, full comment text, author name/handle/channel link/avatar, verification and creator flags, like and reply counts, relative publish time, pinned and creator-hearted flags, video identifiers and positional rank) and a commenters mode that produces a de-duplicated author list aggregated across multiple videos (including counts of comments/replies and total likes received, list of videos engaged, latest and most-liked comment snippets, and sample comments), with sorting by Top or Newest. The connector scrapes public YouTube pages directly (including Shorts and live streams), interleaves replies after parent comments for contextual ordering, handles YouTube’s displayed like-count rounding, and can limit how many comments and replies are collected per run.

Verified Sep 28, 3:56 AM

$0.001

per comment

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Audience research: read viewer opinions about a product, creator or topic at scale
Sentiment and feedback mining: feed comments into analysis, LLMs or dashboards
Lead generation: build lists of engaged channel contacts from competitor videos
Community management: export pinned, hearted and most-liked comments for reporting
Giveaway and contest picking: collect every commenter to select winners
results building: collect labeled comment data for research or model training

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://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-comments-scraper","params":{"videoUrls":["https://www.youtube.com/watch?v=kJQP7kiw5Fk"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`videoUrls`	array	required	YouTube video URLs or IDs, one per line. Accepts watch, youtu.be, Shorts and live URLs. Up to 500 per run.
`maxCommentsPerVideo`	integer	optional	Top-level comments to collect for each video. Replies are counted separately. 0 = all comments, up to 50,000 per video.
`sortBy`	string	optional	Top mirrors YouTube's default ranking; Newest returns the most recent comments first.
`includeReplies`	boolean	optional	Also fetch replies under each top-level comment. Each reply is its own results row with parentCommentId set.
`maxRepliesPerComment`	integer	optional	Replies to fetch under each top-level comment when Include replies is on. 0 = all replies.
`outputMode`	string	optional	Comments streams every comment and reply. Commenters de-duplicates authors across all videos into a lead list with comment counts, likes received and sample comments.
`country`	string	optional	Two-letter country code passed to YouTube, e.g. US, GB, AU.
`language`	string	optional	Language code for YouTube's interface, e.g. en, de, pt-BR. Affects relative date text such as '2 weeks ago'.

Each result contains

Field	Type	Description
`videoId`	string	Video Id
`videoUrl`	string	Video Url
`videoTitle`	string	Video Title
`channelTitle`	string	Channel Title
`commentId`	string	Comment Id
`commentUrl`	string	Comment Url
`parentCommentId`	null	Parent Comment Id
`isReply`	boolean	Is Reply
`text`	string	Text
`authorName`	string	Author Name
`authorChannelId`	string	Author Channel Id
`authorChannelUrl`	string	Author Channel Url
`authorHandle`	string	—
`authorAvatarUrl`	string	—
`authorIsVerified`	boolean	—
`authorIsCreator`	boolean	—
`publishedText`	string	—
`likeCount`	integer	—
`replyCount`	integer	—
`isPinned`	boolean	—
`isHeartedByCreator`	boolean	—
`position`	integer	—

Use YouTube Comments 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.

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://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-comments-scraper","params":{"videoUrls":["https://www.youtube.com/watch?v=kJQP7kiw5Fk"]},"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-comments-scraper",
        "params": {"videoUrls":["https://www.youtube.com/watch?v=kJQP7kiw5Fk"]},
        "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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