Reddit Post Scraper & Extractor
Pull posts from any subreddit feed or a direct post URL — titles, text, media, scores, comment counts — and export them in minutes. No coding required.
Starting from $50 per month
- Fast
- Reliable
- Scalable
Scrape Reddit Posts with Full Control
Extract complete post data from Reddit without scripts or APIs.
No API Setup
Point RedScraper at a subreddit or post link, skip Reddit's API entirely.
Full Post Data
Title, body text, media, score, and flair in one record.
High-Volume Scraping
Pull thousands of posts across multiple subreddits in one job.
Built for Content Research
Structured for finding patterns across posts, not just reading one at a time.
Who Is This Reddit Post Scraper & Extractor For?
Designed for teams and professionals who need structured Reddit post data.
Content & SEO Teams
Find which post formats and headlines actually get traction in a niche before you write your own.
Marketing Teams
Track how a launch or campaign is landing across relevant subreddits.
Product Teams
Pull feedback threads about your product or category to spot recurring requests.
Data Analysts
Build a dataset of posts across subreddits for trend or content-performance analysis.
See What Actually Gets Traction — Before You Post
How to Scrape Reddit Post Data in Minutes
Collect Reddit posts from subreddit feeds or direct post URLs with no code required.
Add a Subreddit or Post Link
One thread, one subreddit feed, or a list of both.
Pick Your Fields
Title, text, media, score, flair — select what you actually need.
Run the Job
RedScraper pulls each post and assembles the dataset.
Export & Analyze
CSV, JSON, Excel, or XML, ready for your workflow.
Available Post Fields
Select and export detailed Reddit post data with full control over every field. Collect engagement metrics, media information, user details, and post metadata in structured formats.
Perfect for data analysts, marketers, and developers who need accurate Reddit data at scale.
Post Information
Title
Subreddit Name
Votes
Upvote ratio
Content
Username
Media elements
Media type
Post URL
Number of comments
Flair information
NSFW status
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.
What You Get From a Post Scrape
A post's title is often optimized for upvotes — it doesn't tell the whole story. RedScraper pulls the full record: title, body text, media, score, upvote ratio, flair, and comment count, for a single post, a subreddit's whole feed, or a keyword search across multiple communities. That's enough to spot which formats and topics actually perform in a given niche, instead of guessing from a handful of posts you happened to see.
Use Cases for Reddit Post Data Extraction
Extracting Reddit post data can be applied in various workflows and industries:
- Content research — find proven post formats and headlines before writing your own
- Trend spotting — catch a topic gaining traction across subreddits early
- Competitor monitoring — track how a competitor's launches land in relevant communities
- Viral post analysis — study what made a specific post take off (timing, format, framing)
- Dataset building — collect post-level data for analytics or ML training
Frequently Asked Questions
What is the Reddit Post Scraper?
The Reddit Post Scraper allows you to collect Reddit posts from subreddit feeds or direct URLs without coding.
Can I scrape posts by URL?
Yes. You can paste full Reddit post links in /r/.../comments/... format.
Do you support historical posts?
Yes. You can collect older posts when publicly available.
Are there usage limits?
Usage is based on compute time. There are no hard limits.
