Reddit Scraper
Scrape Reddit posts, comments, communities, and user data with a fast and reliable no-code platform. Extract structured data from any subreddit, control your scraping limits, and export datasets.
What does Redscraper Reddit Scraper do?
Redscraper provides an alternative way to collect Reddit data using a no-code approach. It allows you to run scraping tasks through a simple dashboard or integrate them into your workflow via API, without setting up complex scripts or infrastructure.
The platform works with structured Reddit data, including posts, comments, communities, and user activity. You can control what data to collect, apply filters, and receive clean datasets ready for further use.
Input methods:
- Search and scrape Reddit using keywords with search terms.
- Scrape Reddit data using URLs.
- Configure scraping settings like filters, limits, and output format in advanced options.
Data you can extract:
- Extract post data including titles, content, votes, and media for posts.
- Collect subreddit information such as name, members, and rules for communities.
- Get comment data including text, votes, and replies from discussions.
- Extract user data including activity and profile details for users.
Pricing is based on compute time — you pay only for successful scraping execution. There are no limits on the amount of data you can extract, and failed requests do not consume your balance. This makes Redscraper a predictable and scalable solution for continuous data collection.
Pricing plans
Redscraper uses a compute-time pricing model. You only pay for successful scraping execution — failed requests do not consume your balance.
| Plan | Price | Compute time | Per hour | Best for |
|---|---|---|---|---|
| Basic | $50 / month | 10 hours | $5/h | Small scraping tasks |
| Professional | $100 / month | 50 hours | $2/h | Regular data collection |
| Enterprise | $150 / month | 100 hours | $1.5/h | Large-scale scraping |
How compute time works
- Only successful requests count: Failed or incomplete scraping requests do not consume your compute time.
- Based on processing time: Compute time is measured from the moment your task starts processing until the results are delivered.
- Unlimited data output: You can extract as much data as needed — usage is limited only by processing time, not by data volume.
Try Redscraper Reddit Scraper
Start collecting Reddit data with a no-code tool. Plans start from $50/month.
How Redscraper works
Redscraper simplifies Reddit data extraction into a few clear steps — from account setup to receiving structured datasets.
1. Create an account
Sign up to access the dashboard and start configuring your scraping tasks.
2. Provide input
Enter search keywords or direct Reddit URLs to define the data source.
3. Configure scraping
Select data fields and apply filters such as sorting, time range, limits, and NSFW settings.
4. Run the scraper
Launch the scraping task from the dashboard. Only successful processing time is counted.
5. Get structured data
Download clean datasets in JSON, CSV, XML, or Excel for analytics, research, or automation.
Set up your data input and scraping options
Scrape using search terms
Enter one or multiple keywords to collect Reddit data across different subreddits. Combine terms to adjust how broad or specific your results are.
- Single keyword (broad search across Reddit)
gaming - Multiple keywords (more specific results)
gaming laptop - Exact match phrases (highly targeted search)
"best gaming laptop" - Combined queries (narrow down intent)
gaming laptop review - Trend monitoring (track popular topics)
AI tools 2026 - Brand or product mentions (for research)
iPhone battery issue
Scrape using URLs
Use direct Reddit URLs to collect data from specific sources such as subreddits, posts, user profiles, or comment threads.
- Subreddit pages (collect posts, metadata, activity)
https://www.reddit.com/r/technology/ - Individual posts (extract full post data and comments)
https://www.reddit.com/r/technology/comments/abc123/example_post/ - User profiles (analyze user activity and submissions)
https://www.reddit.com/user/username/ - Comment threads (extract replies and discussion structure)
https://www.reddit.com/r/technology/comments/abc123/example_post/def456 - Global feeds like popular or all (track trending content)
https://www.reddit.com/r/popular/
Customize your scraping output
Regardless of the method you choose, you can select which data fields to extract. Redscraper allows you to customize the output by choosing only the information you need.
You can also configure how the data is collected and returned, including sorting, filters, limits, and output format.
- Sort search results (none, hot, top, new, relevance); by default, no sorting is applied. Available for posts and comments, with "hot" for posts only.
- Filter posts by time (e.g. last hour, day, week, month, or year); applies only to post data when using search terms.
- Set the number of items to collect (1–10,000); higher limits return more data but may take longer to process.
- Include or exclude NSFW content; applies to posts, comments, users, and subreddits.
- Choose output format (JSON, CSV, XML, Excel) depending on how you plan to use the data.
Try Redscraper Reddit Scraper
Start collecting Reddit data with a no-code tool. Plans start from $50/month.
Data fields available for extraction
Choose which data fields you want to collect for each Reddit entity. You can customize the output by selecting only the information relevant to your use case.
All fields can be selected individually in the dashboard, allowing you to reduce unnecessary data and optimize processing time.
Post data fields
Extract detailed information from Reddit posts including content, engagement metrics, subreddit context, and media data.
Fields: title, content, post URL, subreddit name, username, votes, upvote ratio, number of comments, media elements, media type, flair information, NSFW status.
Subreddit data fields
Collect information about Reddit communities including metadata, size, structure, and visual assets.
Fields: name, creation date, description, number of members, moderator list, subreddit URL, subreddit rules, subreddit title, header image URL.
User data fields
Analyze Reddit user profiles, activity metrics, and account details.
Fields: username, post karma, comment karma, avatar URL, moderator status, description, user creation date, user URL, NSFW status.
Learn more about extracting user data: how to scrape Reddit users.
Frequently asked questions
What is a Reddit scraper?
A Reddit scraper is a tool that collects structured data from Reddit, including posts, comments, subreddits, and user activity. Redscraper allows you to extract this data without writing code.
Do I need coding skills to use Redscraper?
No. Redscraper is a no-code platform with a simple dashboard that allows you to configure and run scraping tasks without any programming knowledge.
Can I access Redscraper via API?
Yes. Redscraper provides API access, allowing you to integrate scraping tasks into your own workflows, automate data collection, and retrieve structured datasets programmatically.
How to scrape data from Reddit?
You can scrape Reddit data by using keywords or direct URLs to collect posts, comments, users, or subreddit data. Redscraper simplifies this process with a no-code dashboard and customizable scraping settings.
Can I analyze Reddit user profiles?
Yes. You can extract and analyze user data such as karma, activity, profile details, and engagement metrics.
Can I scrape subreddit data?
Yes. Redscraper allows you to collect subreddit information including name, description, number of members, rules, and activity data.
Is Redscraper an online Reddit scraper?
Yes. Redscraper is a web-based tool that works directly in your browser without installation or setup.
Can I export Reddit data as a dataset?
Yes. You can export scraped Reddit data in formats like JSON, CSV, XML, or Excel for further analysis.
Comment data fields
Retrieve comment-level data including text, engagement metrics, and discussion structure.
Fields: username, subreddit, content, creation date, votes, number of replies, comment URL.