When you need Reddit data at scale, whether for research, datasets, LLM fine-tuning, or market analysis, these APIs and scrapers deliver structured posts, comments, and user data. Options range from free community libraries like PRAW to no-code scrapers and historical archives.
How to choose: Developers should start with PRAW (Python) or snoowrap (JavaScript) on the official API; non-coders can use Apify or ExportComments.
Top Data Scraping & API tools compared
| Tool | Pricing | Free tier | Best for |
|---|---|---|---|
Open Source | Python developers building Reddit bots, scrapers, or data pipelines | ||
Free | Researchers and developers needing historical Reddit data for free | ||
Open Source | JavaScript and Node.js developers building Reddit integrations who accept it is... | ||
Freemium | Non-technical users who need Reddit data without writing a scraper | ||
From $69/mo | Growth and sales teams automating multi-platform scraping (mainly LinkedIn), wit... | ||
Open Source | Privacy-conscious users comfortable with Python who want to wipe their Reddit hi... | ||
Freemium | Researchers and analysts who need Reddit (or other) comments in a spreadsheet wi... |
Data Scraping & API Tools
Exportcomments
Export Reddit comments to CSV, Excel, or JSON
Shreddit
Bulk-delete your Reddit history
Apify Reddit Scraper
No-code cloud Reddit data scraper
PhantomBuster
Cloud scraping and automation, with Reddit support
PRAW
Python Reddit API Wrapper
Snoowrap
JavaScript Reddit API wrapper
Arctic Shift
Reddit historical data archive and search
Frequently Asked Questions
How do I scrape Reddit data?
Developers use PRAW (Python) or snoowrap (JavaScript) with the Reddit API; no-code users can use the Apify Reddit Scraper or ExportComments.
Is scraping Reddit allowed?
Use Reddit's official API and respect its terms and rate limits. Bulk HTML scraping can violate Reddit's terms of service.
What replaced Pushshift?
Arctic Shift is the main free successor for accessing historical Reddit data.