Twitter Metrics UI Generator
Deprecated
Pricing
$10.00 / 1,000 results
Twitter Metrics UI Generator
Deprecated
The Twitter Metrics(js_inst) Generator API streamlines extracting and analyzing Twitter performance metrics. It provides easy access to data on tweet engagement, user interactions, and follower growth, making it an essential tool for social media managers and analysts to optimize their strategies.
0.0 (0)
Pricing
$10.00 / 1,000 results
1
Total users
2
Monthly users
1
Last modified
5 months ago
You can access the Twitter Metrics UI Generator 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=satin_asp/twitter-metrics-ui-generator"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Twitter Metrics UI Generator via Model Context Protocol (MCP) server
MCP server lets you use Twitter Metrics UI Generator 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 Metrics UI Generator 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": {},$ "name": "satin_asp/twitter-metrics-ui-generator"$ }$}'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 Metrics UI Generator
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", "satin_asp/twitter-metrics-ui-generator" ], "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.
