You can access the Reddit Comments Scraper Pro 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=getdataforme/reddit-comments-scraper-pro",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Reddit Comments Scraper Pro

Get a ready-to-use configuration for your MCP client with the Reddit Comments Scraper Pro Actor preconfigured at mcp.apify.com?tools=getdataforme/reddit-comments-scraper-pro .

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.

Reddit Comments Scraper

khadinakbar/reddit-comments-scraper

Khadin Akbar

Reddit Scraper

janbruinier/jan-reddit-scraper

Scrape posts and comments from Reddit

Jan Bruinier

Reddit Scraper

gio21/reddit-scraper

Scrape Reddit posts and comments from any subreddit. Extract titles, scores, authors, comments, and more using Reddit's public JSON API.

Gio

5.0

Reddit Posts & Comments Scraper

scrapers_lat/reddit-scraper

Extract Reddit posts and comments from subreddits and search results using the public Reddit feeds.

Scrapers Lat

Reddit Post Comments Scraper

apiharvest/reddit-post-comments-scraper

Reddit Post Comments Scraper

APIHarvest

Reddit Comments Scraper

scraper-engine/reddit-comments-scraper

Reddit Comments Scraper extracts comments from Reddit posts with full context. Collect comment text, authors, scores, timestamps, and reply depth for sentiment analysis, research, moderation, and data-driven content insights.