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Twitter (X) Profiles and Tweets Scraper

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Twitter (X) Profiles and Tweets Scraper

Twitter (X) Profiles and Tweets Scraper

memo23/apify-twitter-profile-scraper
Try for free

2 hours trial then $10.00/month - No credit card required now

This actor allows you to scrape Twitter/X profiles, extract tweets, key metrics, metadata and gather insights such as tweet content, engagement metrics (likes, retweets, replies), and author details. It is handy for social media analysis, marketing research, and tracking public figures or brands.

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Maintained by Community

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  • 70 monthly users

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  • 6 bookmarks

  • >99% runs succeeded

  • Created in Oct 2024

  • Modified 2 months ago

You can access the Twitter (X) Profiles and Tweets 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=memo23/apify-twitter-profile-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Twitter (X) Profiles and Tweets Scraper via Model Context Protocol (MCP) server

MCP server lets you use Twitter (X) Profiles and Tweets 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 (X) Profiles and Tweets Scraper 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      "startUrls": [
8            "elonmusk"
9      ],
10      "proxy": {
11            "useApifyProxy": true,
12            "apifyProxyGroups": [
13                  "RESIDENTIAL"
14            ]
15      }
16},
17    "name": "memo23/apify-twitter-profile-scraper"
18  }
19}'

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 (X) Profiles and Tweets 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:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "memo23/apify-twitter-profile-scraper"
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.