Twitter URL Scraper
Under maintenance
Pricing
$2.50 / 1,000 posts
Twitter URL Scraper
Under maintenance
Copy any Twitter URL and extract Twitter usernames, profile photos, follower count, tweets, hashtags, favorite count, and more. Export scraped datasets, run the scraper via API, schedule and monitor runs or integrate with other tools.
4.2 (8)
Pricing
$2.50 / 1,000 posts
36
Total users
7.4k
Monthly users
90
Runs succeeded
51%
Issue response
53 days
Last modified
2 months ago
You can access the Twitter URL Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=quacker/twitter-url-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Twitter URL Scraper via Model Context Protocol (MCP) server
MCP server lets you use Twitter URL Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Twitter URL Scraper Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "startUrls": [$ {$ "url": "https://twitter.com/apify"$ }$ ],$ "tweetsDesired": 100$},$ "name": "quacker/twitter-url-scraper"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for Twitter URL Scraper
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "quacker/twitter-url-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
