Tweet Detail $0.38/1K results | Pay-Per Result| 2025
Pay $0.38 for 1,000 results
Tweet Detail $0.38/1K results | Pay-Per Result| 2025
Pay $0.38 for 1,000 results
Get 1,000 results for just $0.38! Easily scrape Tweet details and get precise insights with every result! Whether you’re analyzing engagement or diving into content research, this tool offers a seamless experience for gathering accurate tweet data in real time.
fastcrawlerActor Metrics
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Created in Feb 2025
Modified 2 days ago
You can access the Tweet Detail $0.38/1K results | Pay-Per Result| 2025 programmatically from your own applications by using the Apify API. You can 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.
1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Tweet Detail $0.38/1K results | Pay-Per Result| 2025 via Model Context Protocol (MCP) server
MCP server lets you use Tweet Detail $0.38/1K results | Pay-Per Result| 2025 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 Tweet Detail $0.38/1K results | Pay-Per Result| 2025 Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": { # Actor inputs
7 "tweetUrls": ...,
8 ...
9 },
10 "name": "cCh0oJ17OsNUoJbsM"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}Configure local MCP Server via standard input/output for Tweet Detail $0.38/1K results | Pay-Per Result| 2025
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:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "cCh0oJ17OsNUoJbsM"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}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.
