Reddit Post Scraper
Starting from $50 per month
Collect Reddit posts from subreddit feeds or direct post URLs. Extract titles, text, media, scores, and engagement data. Export clean datasets for analysis and monitoring.
- Fast
- Reliable
- Scalable

Scrape Reddit Posts with Full Control
Extract complete post data from Reddit without scripts or APIs.
No-Code Collection
Collect Reddit posts without programming or API access.
Full Post Data
Capture titles, body text, media, scores, and metadata.
High-Volume Scraping
Process thousands of posts across multiple subreddits.
Built for Analysis
Use post data for content research, trend analysis, and monitoring.
Who Is This Reddit Post Scraper For?
Designed for teams and professionals who need structured Reddit post data.
Marketing Teams
Track trending posts and campaign discussions.
Content & SEO Teams
Discover high-performing topics and headlines.
Product & Research Teams
Analyze feedback from post discussions.
Data Analysts
Build datasets for market and social research.
A Powerful Reddit Scraper for Real-World Data Analysis
Scrape Reddit Post Data in Minutes
Collect Reddit posts from subreddit feeds or direct post URLs with no code required.
Create Your Account
Sign up and access the Reddit post scraper instantly.
Enter Post Sources
Paste subreddit URLs or post links (e.g. https://reddit.com/r/reactjs/comments/...).
Collect Post Data
Extract post titles, content, media, and engagement metrics.
Export Results
Download structured post data in multiple formats.
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.
Reddit Post Scraper for Extracting Post Data
Our service, RedScraper (no-code Reddit scraper), is designed to extract data directly from Reddit posts, including titles, descriptions, authors, timestamps, and engagement metrics such as upvotes and comments. Instead of manually browsing threads, you can automatically collect structured information from multiple posts across different subreddits.
This makes it easier to work with Reddit content at scale and analyze how posts perform within specific communities. By extracting Reddit post data, you can quickly identify patterns, trends, and high-performing content.
Collect Reddit Posts Across Subreddits and Topics
With our service, you can collect posts from multiple subreddits, categories, or keyword-based searches. Instead of focusing on a single thread, you can gather large volumes of content that reflect broader trends across the platform.
Collecting Reddit posts at scale allows you to understand what topics are gaining traction, which formats perform best, and how users respond to different types of content. This provides a much more complete picture than manual browsing.
Use Cases for Reddit Post Data Extraction
Extracting Reddit post data can be applied in various workflows and industries:
- Content research and topic discovery
- Trend analysis across subreddits
- Monitoring viral and high-performing posts
- Competitor and niche analysis
- Building datasets for analytics or machine learning
These use cases make our service a valuable tool for marketers, analysts, and product teams looking to leverage real user-generated content.
Extract and Export Reddit Post Data
Our service allows you to extract post data in a structured format, making it easier to analyze and reuse. Instead of working with raw pages, you can organize posts into datasets that include all relevant fields such as titles, engagement metrics, and timestamps.
This data can be exported and integrated into analytics tools, dashboards, or internal systems. Structured export options simplify workflows and enable deeper analysis compared to manual data collection.
Analyze Reddit Posts and Engagement Patterns
By analyzing Reddit posts with our service, you can identify what type of content performs best within specific communities. This includes understanding which topics generate the most engagement, how users interact with posts, and what drives discussions.
Reddit post data provides valuable insights for content strategy, product validation, and audience research. Instead of guessing, you rely on real performance data from active communities.
Scale Reddit Post Collection Efficiently
Whether you need to collect a small number of posts or analyze thousands of threads, our service allows you to handle large datasets efficiently. Automation eliminates repetitive manual work and ensures consistent data collection.
This makes Reddit a powerful source of structured content data, enabling you to track trends, monitor communities, and extract insights at scale without performance limitations.
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.

Analyze Reddit posts at scale
Extract posts from any subreddit or direct links.
Export clean datasets for analytics and monitoring.