X (Twitter) User Mentions Scraper

X (Twitter)

Operated by Sourcelane✓ verified

Extracts every X (Twitter) mention of a target username for brand monitoring and social listening by scraping mentioning posts and returning one record per mention that includes mention text, post identifiers and URL, creation timestamp, language, engagement metrics (likes, retweets, replies, quotes, views, bookmarks), author profile details (username, display name, follower count, verification status), and reply context (whether the mention is a reply, conversation identifier, and replied-to account). Technical capabilities include time-bounded fetching, cursor-based pagination with a resumable cursor for large mention volumes across multiple runs, and capture of conversational context and engagement metadata for each mention.

Verified Sep 28, 3:56 AM

$0.003

per mention

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

What people use it for

Brand monitoring: capture every post that mentions a brand or product handle
Social listening: track sentiment, volume, and trends around a person or company in real time
Customer service triage: detect complaints and support requests as they are posted
Competitive intelligence: monitor how people discuss competitor accounts
PR and crisis monitoring: detect spikes in mentions and emerging issues

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-user-mentions-scraper","params":{"username":"elonmusk","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`username`	string	required	X (Twitter) username, with or without @, or a full profile URL (https://x.com/), whose mentions you want to extract.
`maxItems`	integer	optional	Maximum mentioning tweets to return. Set 0 for unlimited. Capped at 100 per call.
`sinceTime`	string	optional	ISO 8601 datetime, e.g. 2026-01-01T00:00:00Z - converted to a unix timestamp automatically. Only mentions after this time are returned.
`untilTime`	string	optional	ISO 8601 datetime, e.g. 2026-01-01T00:00:00Z - converted to a unix timestamp automatically. Only mentions before this time are returned.
`pageId`	string	optional	Optional. Cursor from a previous run to resume.

Each result contains

Field	Type	Description
`mentionedUsername`	string	Mentioned Username
`tweetId`	string	Tweet Id
`url`	string	Url
`text`	string	Text
`createdAt`	string	Created At
`lang`	string	Lang
`retweetCount`	integer	Retweet Count
`replyCount`	integer	Reply Count
`likeCount`	integer	Like Count
`quoteCount`	integer	Quote Count
`viewCount`	integer	View Count
`bookmarkCount`	integer	Bookmark Count
`isReply`	boolean	—
`inReplyToId`	string	—
`inReplyToUsername`	string	—
`conversationId`	string	—
`authorUsername`	string	—
`authorUserId`	string	—
`authorName`	string	—
`authorIsBlueVerified`	boolean	—
`authorFollowersCount`	integer	—

Use X (Twitter) User Mentions 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-user-mentions-scraper","params":{"username":"elonmusk","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-user-mentions-scraper",
        "params": {"username":"elonmusk","maxItems":5},
        "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…