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Reddit Comment Scraper & Extractor

Pull full comment threads from any Reddit post or subreddit — nested replies, votes, and timestamps included — and export them in minutes, no coding required.

Starting from $50 per month

  • No API key needed
  • 10,000 comments per job
  • JSON, CSV & Excel export
Interface of RedScraper, a no-code tool for scraping Reddit data

Scrape Reddit Comments with Full Control

Extract complete Reddit discussions and analyze real user conversations without technical complexity.

No Reddit API Required

Skip API keys, rate limits, and approval waits. Point RedScraper at a thread and go.

Full Reply Trees, Not Just Top Comments

Nested replies are captured at every depth, not just the first visible layer.

Built for High-Volume Threads

A single job can walk a 5,000-comment thread without timing out or truncating.

Vote & Timestamp Data Included

Every comment carries its score and post time, so you can sort by engagement or track a thread's timeline.


Who Is This Reddit Comment Scraper & Extractor 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.

Community & Support Teams

Spot recurring complaints and unanswered questions buried inside long comment threads before they escalate.

Researchers & Analysts

Pull full conversation trees — not just top-level replies — to study how opinions shift as a thread develops.

Growth & SEO Teams

Mine exact phrasing real users type in replies to find content angles and long-tail keywords search data can't show.

Trust & Safety / Brand Teams

Track how a specific claim, product mention, or complaint spreads across nested replies over time.

Turn Comment Threads Into Structured Conversation Data


How to Scrape Reddit Comments

How to 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.

Paste a Link

Drop in a post URL, a subreddit, or search for a keyword to pull comments from multiple threads at once.

Set Your Depth

Choose how deep into reply chains to go, and filter by date range or minimum score if needed.

Run the Job

RedScraper walks the thread tree and assembles usernames, text, votes, and timestamps into rows.

Export & Reuse

Pull the dataset as CSV, JSON, Excel, or XML — or hit it via the API directly.


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.

Download in Any Format You Need
JSON
CSV
Excel
XML

Comment Information

Username

Comment content

Creation date

Votes

Number of replies

Comment URL

Subreddit

Pricing

Flexible plans starting at $100/mo. Choose what fits your needs.

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.

POPULAR

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.

What Makes Comment Data Different From Post Data

A post tells you what was said. The comments tell you how people actually reacted — agreement, pushback, corrections, sarcasm, follow-up questions. RedScraper reconstructs the full reply tree under any post or subreddit: who said what, in response to whom, with vote counts and timestamps preserved at every level. That nesting is what makes comment data useful for sentiment work — a top comment with 400 upvotes and a buried reply with 2 can matter equally depending on what you're measuring.

Common Use Cases for Reddit Comment Scraping

Reddit comment scraping can be applied across multiple industries and workflows:

  • Market research — see what people say about a product before they'd ever say it in a survey
  • Sentiment tracking — measure the ratio of agreement vs. pushback in replies to a specific claim or launch
  • Trend spotting — catch a topic gaining traction in comment replies before it becomes its own post
  • Lead generation — find people actively asking for a solution you sell, buried in a thread's replies
  • Content research — steal the exact phrasing real users use to complain or ask questions
  • Campaign monitoring — track reaction threads after a launch, in real time

See It in Action

Our Reddit scraping service eliminates the need for coding or API integrations. With a simple no-code interface, you can start collecting comment data instantly by entering a URL, subreddit, or keyword.

Reddit comment scraper interface showing URL input and data selection options

In the example above, a Reddit post URL is entered into the scraper, and specific data fields are selected — including usernames, comment content, votes, and reply counts. This allows precise control over what data is extracted, avoiding unnecessary noise.

The entire process takes seconds and requires no technical setup, making it ideal for market research, sentiment analysis, lead generation, and content discovery workflows.

How Deep Threads Are Handled

Reddit threads can nest dozens of replies deep, and Reddit's own UI collapses most of them after a point. RedScraper walks the full tree rather than stopping at the first visible layer, so a reply buried five levels down is captured the same as a top-level comment.

For very active threads (thousands of comments), the job runs incrementally and you can export partial results while it's still running.

Frequently Asked Questions

The Reddit Comments Scraper allows you to collect and export Reddit comments from posts, subreddits, or keyword searches without writing any code.

Yes. You can extract full comment threads from Reddit posts, including nested replies, depending on the post size and available compute time.

Yes. The scraper supports historical Reddit comments, allowing you to collect data from older posts and past discussions when available.

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.

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