X (Twitter) Historical Tweets Scraper

X (Twitter)

Operated by Sourcelane✓ verified

A scraper for historical X (Twitter) posts that retrieves every tweet from one or more accounts across any specified date range using a windowed pagination approach. The connector collects full tweet text, timestamps, language and source app, engagement metrics (likes, reposts/retweets, replies, quotes, view and bookmark counts), conversation context and reply/retweet/quote indicators, referenced tweet identifiers/URLs, hashtags, mentions, expanded links, and best-quality media URLs and types (video/image). It also captures author metadata such as author identifier, display name, verified status, and follower counts. Technical features include date-range windowing to reach older posts beyond timeline limits, keyword filtering with standard X search syntax, language filtering, options to include or exclude replies and reposts, configurable window size for high-activity accounts, concurrent processing of multiple accounts, and operation without authentication, cookies, or API keys.

Verified Sep 28, 3:56 AM

$0.002

per tweet

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

What people use it for

Archive an account's history for a specific year or custom date range
Campaign and PR analysis to measure engagement during a launch window
Research and journalism: extract an account's posts about a topic using keyword filters
Competitor benchmarking: compare posting volume and engagement across accounts by quarter
Model training and NLP: build dated, labeled corpora from specific accounts
Compliance and monitoring: maintain a dated record of official communications

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-historical-tweets-scraper","params":{"usernames":["NASA"],"startDate":"2023-01-01"},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	X / Twitter handles to scrape (with or without @), one per line. Profile URLs are also accepted.
`startDate`	string	required	First day to include, in YYYY-MM-DD format (UTC). Can be years in the past.
`endDate`	string	optional	Last day to include, in YYYY-MM-DD format (UTC). Leave empty for today.
`keywords`	string	optional	Only return tweets matching these words. Standard X search syntax works, e.g. `launch OR rocket`, `"exact phrase"`, `#hashtag`, `-exclude`.
`includeReplies`	boolean	optional	Keep the account's replies to other people. Turn off for original posts only.
`includeRetweets`	boolean	optional	Also return posts the account reposted. Off by default.
`language`	string	optional	Optional two-letter language code (en, es, de,...) to keep only tweets in that language.
`maxTweetsPerUser`	integer	optional	Stop after this many tweets for each account, newest first. 0 = everything in the date range.
`windowDays`	integer	optional	Advanced. The date range is walked backwards in windows of this many days so very active accounts stay fully reachable. 0 = automatic (30 days).

Each result contains

Field	Type	Description
`username`	string	Username
`tweetId`	string	Tweet Id
`url`	string	Url
`text`	string	Text
`createdAt`	string	Created At
`lang`	string	Lang
`source`	string	Source
`retweetCount`	integer	Retweet Count
`replyCount`	integer	Reply Count
`likeCount`	integer	Like Count
`quoteCount`	integer	Quote Count
`viewCount`	integer	View Count
`bookmarkCount`	integer	—
`isReply`	boolean	—
`inReplyToId`	null	—
`inReplyToUsername`	null	—
`conversationId`	string	—
`isQuote`	boolean	—
`quotedTweetUrl`	null	—
`isRetweet`	boolean	—
`retweetedTweetUrl`	null	—
`hashtags`	array	—
`mentions`	array	—
`links`	array	—
`mediaUrls`	array	—
`mediaTypes`	array	—
`authorUserId`	string	—
`authorName`	string	—
`authorIsBlueVerified`	boolean	—
`authorFollowersCount`	integer	—

Use X (Twitter) Historical Tweets 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-historical-tweets-scraper","params":{"usernames":["NASA"],"startDate":"2023-01-01"},"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-historical-tweets-scraper",
        "params": {"usernames":["NASA"],"startDate":"2023-01-01"},
        "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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