YouTube Community Posts Scraper

YouTube

Operated by Sourcelane✓ verified

Scrapes the YouTube Community (Posts) tab of channels to extract structured, per-post data for text updates, single and multi-image posts, polls with vote totals, quizzes, and shared videos; it captures engagement metrics (likes and comment counts), extracted links and hashtags (unwrapped from YouTube redirects), attachment types, full-resolution image URLs, shared-video metadata (id, URL, title, channel, views, duration, thumbnails), poll choices and total votes, quiz questions and choices, channel identifiers and metadata, and post timestamps/ordering. Operates by parsing YouTube web content rather than relying on the official API and produces one record per community post (newest-first), producing data suitable for keyword and semantic search, monitoring, analysis, and archival workflows.

Verified Sep 28, 3:56 AM

$0.005

per community post

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

What people use it for

Brand and creator monitoring: track announcements, giveaways and polls from channels you follow
Audience research: analyze poll results and community responses to understand audience preferences
Competitor analysis: monitor posting frequency, formats used, and engagement on rival channels
Sponsorship and campaign tracking: discover promo links and codes posted outside of videos
Content ideation: mine high-engagement posts and poll questions for community content ideas
Archiving: create a searchable record of a channel's community post history

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-community-posts-scraper","params":{"channels":["@MrBeast"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`channels`	array	required	YouTube channels to scrape, one per line. Accepts @handles, channel URLs (including /posts or /community links) or UC channel IDs. Up to 200 per run.
`maxPostsPerChannel`	integer	optional	Newest posts to return from each channel. 0 = every post, up to 5,000 per channel.
`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
`postId`	string	Post Id
`postUrl`	string	Post Url
`channelId`	string	Channel Id
`channelName`	string	Channel Name
`channelHandle`	string	Channel Handle
`channelUrl`	string	Channel Url
`publishedText`	string	Published Text
`text`	string	Text
`links`	array	Links
`hashtags`	array	Hashtags
`attachmentType`	string	Attachment Type
`imageUrls`	array	Image Urls
`video`	null	—
`poll`	null	—
`quiz`	null	—
`likeCount`	integer	—
`commentCount`	integer	—
`isSharedPost`	boolean	—
`position`	integer	—

Use YouTube Community Posts 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-community-posts-scraper","params":{"channels":["@MrBeast"]},"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-community-posts-scraper",
        "params": {"channels":["@MrBeast"]},
        "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…