X (Twitter) List Members Scraper

X (Twitter)

Operated by Sourcelane✓ verified

Scrapes every account on a public X (Twitter) list without requiring login or cookies, extracting per-account profile metadata and list context for large-scale list harvesting. The connector collects profile identifiers and display names, bios/descriptions, location and personal URLs, profile and banner image links, account creation timestamp, verification states (legacy and premium checks and verification type), messaging/automation flags, engagement metrics (follower counts, following counts, post/tweet counts, media and like counts), and whether an account is a curated list member or a list subscriber. It supports traversing paginated list results via continuation cursors to enumerate hundreds or thousands of accounts and can resume multi-run extraction using the pagination cursor.

Verified Sep 28, 3:56 AM

$0.0012

per user

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

What people use it for

Targeted lead generation from curated topical lists (e.g., industry founders, investors)
Audience research to see who industry experts include in curated lists
Competitor analysis by extracting niche community members
Recruiting and sourcing from public talent lists
Influencer discovery using community-maintained "best in niche" lists
Network mapping by combining curated-member and subscriber snapshots to reconstruct community graphs

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":"x-list-members-scraper","params":{"listId":"84839422","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`listId`	string	required	X (Twitter) list ID (e.g. 84839422) or full list URL (e.g. https://x.com/i/lists/84839422).
`mode`	string	optional	Members = the accounts curated into the list. Followers = the accounts subscribed to receive the list.
`maxItems`	integer	optional	Maximum users to return. Set 0 for unlimited (stops ~60s before connector timeout). Capped at 100 per call.
`pageId`	string	optional	Optional. Cursor from a previous run's NEXT_PAGE_ID record in the Key-value store. Pass to resume from where the previous run stopped.

Each result contains

Field	Type	Description
`scrapedFromListId`	string	Scraped From List Id
`membership`	string	Membership
`userId`	string	User Id
`username`	string	Username
`name`	string	Name
`description`	string	Description
`location`	string	Location
`url`	string	Url
`isVerified`	boolean	Is Verified
`isBlueVerified`	boolean	Is Blue Verified
`verifiedType`	string	Verified Type
`protected`	boolean	Protected
`followersCount`	integer	—
`followingCount`	integer	—
`tweetsCount`	integer	—
`mediaCount`	integer	—
`likesCount`	integer	—
`createdAt`	string	—
`profilePicture`	string	—
`coverPicture`	string	—
`canDm`	boolean	—
`isAutomated`	boolean	—
`profileUrl`	string	—

Use X (Twitter) List Members Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Find the 50 most-liked tweets about 'MCP servers' this month and summarise the takes.”

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":"x-list-members-scraper","params":{"listId":"84839422","maxItems":5},"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": "x-list-members-scraper",
        "params": {"listId":"84839422","maxItems":5},
        "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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