Reddit Comment Scraper
Starting from $50 per month
Extract Reddit comments in real time or historically, collect complete comment threads from posts and subreddits, analyze discussions and engagement metrics, and export large volumes of Reddit comment data at scale
- Fast
- Reliable
- Scalable
Scrape Reddit Comments with Full Control
Extract complete Reddit discussions and analyze real user conversations without technical complexity.
No-Code Scraping
Start collecting Reddit comments without scripts, bots, or API integrations.
Full Comment Threads
Capture nested replies, scores, timestamps, and author data from entire discussions.
Handles Large Discussions
Built to process large threads and active subreddits without performance bottlenecks.
Designed for Analysis
Use real Reddit conversations for research, sentiment analysis, and audience insights.
Who Is This Reddit Comment Scraper For?
This tool is built for anyone who needs full access to real Reddit comment threads — including replies, engagement signals, and discussion context — without using scripts or the Reddit API.
Marketing & Community Teams
Understand how Reddit users react to products, campaigns, and topics across relevant subreddits.
Content & SEO Teams
Extract real questions, objections, and language directly from Reddit comments to create better content.
Product & UX Managers
Identify recurring feedback, feature requests, and user frustrations inside comment discussions.
Data Analysts & Researchers
Collect large volumes of Reddit comments for sentiment analysis, trend detection, and research.
Scrape Reddit Comments in Minutes
Collect Reddit comments from posts, subreddits, or keywords with no code required. Extract full comment threads and export clean data for analysis, research, or monitoring.
Create Your Account
Sign up in seconds and access the Reddit comments scraper instantly.
Select Comment Source
Choose a Reddit post, subreddit, or keyword to collect relevant comments.
Scrape Comment Threads
Extract full comment threads, including nested replies, in real time or historically.
Export Comment Data
Download comments in CSV, JSON, Excel, or XML formats.
Available Comment Fields
Select the Reddit comment data you want to collect for your analysis or workflow. Each field can be enabled or disabled individually, giving you full control over what information is extracted and processed.
Comment Information
Username
Comment content
Creation date
Votes
Number of replies
Comment URL
Subreddit
Pricing
Basic
$50
per month
Unlimited data output
10 hours of compute time
Compute time is only counted when your scraping requests are successful. Failed requests don't use your time allowance.
Professional
$100
per month
Unlimited data output
50 hours of compute time
Perfect for medium-scale operations. Get 5x more compute time to handle larger scraping projects with ease.
Enterprise
$150
per month
Unlimited data output
100 hours of compute time
Built for large-scale operations. Maximum compute allowance for extensive data collection and analysis projects.
Frequently Asked Questions
What is the Reddit Comment Scraper?
The Reddit Comments Scraper allows you to collect and export Reddit comments from posts, subreddits, or keyword searches without writing any code.
Can I scrape all comments from a Reddit post?
Yes. You can extract full comment threads from Reddit posts, including nested replies, depending on the post size and available compute time.
Do you support historical Reddit comments?
Yes. The scraper supports historical Reddit comments, allowing you to collect data from older posts and past discussions when available.
Is there a limit to how many comments I can scrape?
There is no limit on the amount of data you can export. Usage is based on compute time, and only successful scraping requests consume your allowance. If your workload exceeds your current plan, you can easily upgrade or choose an Enterprise plan for higher compute capacity.
Scrape Reddit comments at scale
Extract full comment threads from Reddit posts, subreddits, or keywords.
Export clean data in CSV, JSON, Excel, or XML.