Brief

Automatically extracts Reddit post data, including titles, content, engagement metrics, and comment counts from any subreddit or thread, with flexible filtering and output options for seamless integration.

Use Cases:

Monitor brand mentions and trending discussions across Reddit communities
Track post performance and engagement metrics (upvotes, comments, awards)
Conduct market research by analyzing popular posts in relevant subreddits
Identify trending topics and viral content for content marketing strategies
Collect competitive intelligence by monitoring industry-related subreddits
Build datasets for sentiment analysis and social listening at scale
Research community opinions and emerging trends for business intelligence

Workflow Steps:

1.Start & Configure Parameters

- Set up three input parameters: target_url (Reddit page URL like "https://www.reddit.com/r/n8n/"), sort_by (sorting option: hot, new, top, rising), and post_limit (number of posts to extract, e.g., "10")

2.Visit Target Page

- Navigates to the specified Reddit URL with the target_url parameter

3.Click Element

- click “open sort options"

4.Click Element

click /sort_by

5.Extract Data

Extract /post-limit as the following data from Reddit posts :
POST-LEVEL DATA:
1. Post Creator (username with u/ prefix)
2. Subreddit Name (community name with r/ prefix)
3. Post Title (complete headline text)
4. Post Content (full body text of the post)
5. Post Flair/Tag (category label if available)
6. Upvotes Count (total upvotes number)
7. Comments Count (total number of comments)
8. Post URL (direct link to the post)
9. Post Timestamp (time posted, e.g., "13 hr. ago" or exact date)
10. Top Comments
11. Awards Count
12. Post Type (text, image, video, link, poll)

6.Finish & Output Data

Returns extracted data in your preferred format (JSON, CSV, XML, or Markdown) containing structured post information with engagement metrics

Key Features:

Data Extraction Scope:

✅ Extracts: Post titles, content, authors, upvotes, comment counts, awards, timestamps, URLs, flairs, and post types
❌ Does not extract: Individual comment text or nested comment threads (only total comment count per post)
💡 Use Case: Perfect for post-level analysis, trend identification, and engagement tracking without deep-diving into comment threads

Ready to automate? Try this workflow now →

🚀 Quick Start with Make.com: Browseract is now available as an official app on Make.com! Simply search for "Browseract" in the Make.com app directory and add it directly to your automation scenarios - no complex configuration needed.

Need help? Contact us at

Discord: [Discord Community]
E-mail: service@browseract.com

25-50credits per task (estimated)