Pricing

from $3.50 / 1,000 comments

Reddit Comments Scraper

The most powerful Reddit comments on Apify. Get comprehensive comments data from direct urls, post urls, or user profiles. Power your analysis with comment replies from post urls up to any depth. This tools is your best bet to unlock Reddit's ecosystem.

Pricing

from $3.50 / 1,000 comments

Rating

0.0

(0)

Developer

tolu.

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

Categories

Social media

Developer tools

Other

You can access the Reddit Comments 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/",
13        "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/",
14        "https://www.reddit.com/user/Curious_Coder5445/"
15    ]
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("toludare/reddit-comments-scraper").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Reddit Comments Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Reddit Comments Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Reddit Comments Scraper API in Python

Reddit Comments Scraper API through CLI

Reddit Comments Scraper OpenAPI definition

Reddit Comments Scraper API

Reddit Post Comments Scraper

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Reddit Posts (Only $1.5 💰) | Direct, User, Subreddit, Search

toludare/reddit-posts-scraper

The most accessible Reddit posts scraper on Apify. Get comprehensive posts data from direct URLs, user profiles, subreddit profiles, and search. Your best bet to unlock Reddit's ecosystem.

tolu.

Reddit Comments Scraper

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Reddit comments scraper to extract comments, replies, and user data from Reddit threads 💬📊 Perfect for sentiment analysis, research, and audience insights. Fast, accurate, and scalable data extraction.

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Scrape posts and comments from Reddit

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The best Reddit scraper, for both posts & comments.

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Reddit: Subreddit Posts Comments Actor

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This actor allows you to scrape comments from any Reddit post. Simply provide a Reddit post URL, and the actor will fetch all comments with their metadata including author, score, timestamps, and nested replies.

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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.

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Reddit Comments Scraper Pro

getdataforme/reddit-comments-scraper-pro

Reddit Comments Scraper Pro efficiently extracts comments, authors, and timestamps from Reddit posts....

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Reddit Comment Scraper

api-empire/reddit-comment-scraper

Automatically extract Reddit comments and replies using Reddit Comments Scraper. Collect comment text, usernames, scores, and timestamps to support sentiment tracking, brand monitoring, and community research.