You can access the Twitter Replies 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=powerai/twitter-replies-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Twitter Replies Scraper

Get a ready-to-use configuration for your MCP client with the Twitter Replies Scraper Actor preconfigured at mcp.apify.com?tools=powerai/twitter-replies-scraper .

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.

Tweet Replies Scraper

watcher.data/tweet-replies-scraper

Fast API-powered scraper to extract replies from specific tweets on X (Twitter)

Giichi Arai

Twitter (X) Reply Scraper

louisdeconinck/twitter-reply-scraper

Extract detailed information about tweets and their replies from Twitter/ X.com. This scraper collects data on tweet & comment details, user information, and reply content, providing insights for social media analysis, sentiment tracking & trend monitoring. No authentication or cookies needed.

Louis Deconinck

380

1.7

Extract Twitter/X Replies (including hidden & spam)

yairsabag/twitter-reply-full

Scrapes all replies to a public tweet, including hidden and spam replies. Returns clean JSON with tweet ID, text, author, likes, etc. Fully cloud-based. No API key required. Works great with n8n, Zapier, Google Sheets, and more.

Yair Sabag

118

1.0

Twitter Reply Scraper | $0.2/1K Tweets | Pay-Per Result ｜ 2025

fastcrawler/twitter-reply-scraper-0-2-1k-tweets-pay-per-result-2025

Get 1,000 Twitter replies(comments) for just $0.2! 🚀 Instantly download Twitter replies and comments. Our tool provides precise and rapid data extraction, no coding required. Pay only for the data you need, and gain valuable insights for market analysis, sentiment monitoring, and more.

fastcrawler

216

5.0

Twitter Tweet Reply Scrape | $0.25/1K Tweets | Pay-Per Result

kaitoeasyapi/twitter-reply

🚀 Instantly scrape Twitter/X replies & conversations with Pay only $0.25/1K tweets. Get complete reply chains, user info & engagement metrics. Perfect for sentiment analysis, market research & competitor tracking. 100% reliable data extraction, no API needed!

twlo low

470

4.5

Twitter Tweet Reply Scrape | $0.1/1K Tweets | Pay-Per Result

yeahjjyy/twitter-tweet-reply-scrape-0-1-1k-tweets-pay-per-result

🚀 Instantly scrape Twitter/X replies & conversations with Pay only $0.1/1K tweets. Get complete reply chains, user info & engagement metrics. Perfect for sentiment analysis, market research & competitor tracking. 100% reliable data extraction, no API needed!

yeahjjyy

Post / Reply Tweet API｜ Twitter | 2025 | $10/m

fastcrawler/post-reply-tweet-api-twitter-2025-10-m

Post / Reply Tweet lets you automate tweet posting without needing Twitter API access or a developer account. For just $10/month, enjoy unlimited usage with no restrictions.support delegated account

fastcrawler

Twitter(X) Comment Scraper:No cookies required

fastcrawler/twitter-x-comment-scraper-no-cookies-required

Capture all Twitter replies, including hidden and nested ones that conversation ID methods often miss. With advanced sentiment and tone analysis, quickly sort replies by likes, relevance, or emotion. No cookies required. Fast, accurate, and ideal for complete conversation scraping.

fastcrawler

319

5.0

Twitter (X) Comment Scraper

muhammetakkurtt/twitter-x-comment-scraper

This Apify actor scrapes comments from a given tweet and collects detailed information such as user profiles, engagement metrics and media content. It includes data such as username, number of followers, tweet content, number of likes and retweets. Media types and durations are also included.