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Twitter Trends Scraper United States

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Twitter Trends Scraper United States

Twitter Trends Scraper United States

karamelo/twitter-trends-scraper-united-states
Try for free

Pay $0.10 for 1,000 results

Scrape Twitter trends from United States locations including the 50 states and other notable locations. This actor scrapes in addition the worldwide and united states country trends for 8 periods of time. The US states and other US locations have the Live trends only available.

Developer
Maintained by Community

Actor Metrics

  • 3 monthly users

  • No reviews yet

  • 2 bookmarks

  • >99% runs succeeded

  • 1.9 hours response time

  • Created in Nov 2024

  • Modified 4 months ago

You can access the Twitter Trends Scraper United States 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=karamelo/twitter-trends-scraper-united-states"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Twitter Trends Scraper United States via Model Context Protocol (MCP) server

MCP server lets you use Twitter Trends Scraper United States 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 Trends Scraper United States 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": {
7      "proxyOptions": {
8            "useApifyProxy": true
9      }
10},
11    "name": "karamelo/twitter-trends-scraper-united-states"
12  }
13}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Twitter Trends Scraper United States

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",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "karamelo/twitter-trends-scraper-united-states"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

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.