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$9.99/month + usage

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Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025

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fastcrawler

Get 1,000 results for just $0.01! Introducing the Twitter Hashtag Fast Scraper, your go-to solution for scraping Twitter hashtags. This powerful tool combines blazing-fast speed with advanced data extraction capabilities, making it perfect for social media analysts, marketers, and researchers.

0.0 (0)

Pricing

$9.99/month + usage

Total users

279

Monthly users

Runs succeeded

>99%

Last modified

20 days ago

Social media

You can access the Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=fastcrawler/twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Twitter/X Hashtag Scraper: Support Sentiment&Tone Analyzer 2025

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=fastcrawler/twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025 along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=fastcrawler/twitter-x-hashtag-scraper-support-sentiment-tone-analyzer-2025",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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