Sourcelane

X (Twitter) Tweet Details Scraper

X (Twitter)

Operated by Sourcelane✓ verified

Hydrate a list of X (Twitter) tweet IDs or URLs into full data - text, author, timestamps, and all engagement metrics in one run. No login required.

Read full description

Converts lists of X (Twitter) tweet IDs or URLs into full tweet records by hydrating each tweet into structured metadata and metrics without requiring login or cookies. For each tweet it extracts the canonical text, creation timestamp, language and client/source, author metadata (username, display name, user identifier, verification status, follower count, profile image and location), reply and conversation context, and a complete set of engagement metrics including counts for retweets, replies, likes, quotes, views and bookmarks; it processes batches in a single run and automatically skips invalid or duplicate entries.

Verified Sep 28, 3:56 AM

$0.0012

per tweet

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

What people use it for

You give it

  • Tweet IDs or URLsrequired

    One tweet per line.

Optional settings

Max Tweets

You get back

Text & content
Text
People & accounts
In reply to usernameAuthor usernameAuthor user IDAuthor nameAuthor is blue verifiedAuthor verified typeAuthor profile picture
Numbers & stats
Retweet countReply countLike countQuote countView countBookmark countAuthor followers count
Location
Author location
Dates
Created at
Links & media
URL
Other details
Tweet IDLangReplyIn reply to IDConversation ID

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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-tweet-details-scraper","params":{"tweetIds":["https://x.com/elonmusk/status/2050965645991522635","1866332309399781537"],"maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
tweetIdsarrayrequiredOne tweet per line. Accepts numeric tweet IDs or full tweet URLs (https://x.com/user/status/). Duplicates and invalid entries are ignored.
maxItemsintegeroptionalMaximum tweets to return. Set 0 to hydrate every ID you provide. Capped at 100 per call.

Each result contains

FieldTypeDescription
tweetIdstringTweet Id
urlstringUrl
textstringText
createdAtstringCreated At
langstringLang
sourcestringSource
retweetCountintegerRetweet Count
replyCountintegerReply Count
likeCountintegerLike Count
quoteCountintegerQuote Count
viewCountintegerView Count
bookmarkCountintegerBookmark Count
isReplyboolean—
inReplyToIdstring—
inReplyToUsernamestring—
conversationIdstring—
authorUsernamestring—
authorUserIdstring—
authorNamestring—
authorIsBlueVerifiedboolean—
authorVerifiedTypenull—
authorFollowersCountinteger—
authorLocationstring—
authorProfilePicturestring—

Use X (Twitter) Tweet Details 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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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-tweet-details-scraper","params":{"tweetIds":["https://x.com/elonmusk/status/2050965645991522635","1866332309399781537"],"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-tweet-details-scraper",
        "params": {"tweetIds":["https://x.com/elonmusk/status/2050965645991522635","1866332309399781537"],"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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