Reddit Post Comments Export

PhantomBuster's Reddit Post Comments Export Automation captures text, timestamps, upvotes, and author details from entire discussion threads, delivering structured data you can analyze immediately. Perfect for qualitative research, sentiment analysis, and community monitoring. No coding required, ready to run in minutes.

Note: Enable "Watcher mode" to reprocess posts and extract only new comments in future runs. This lets you monitor ongoing discussions without re-extracting old data.

What you give / What you get

You provide Reddit post URLs. PhantomBuster delivers back a complete, structured dataset of every comment in the thread.

In short, you bring the post URLs. PhantomBuster handles the rest, extracting every comment with full metadata for immediate use.

What you can automate with Reddit Post Comments Export

Here's what PhantomBuster's Reddit Post Comments Export Automation can do automatically for you:

• Extract full comment threads from any Reddit post, capturing every reply and nested discussion

• Track engagement patterns by monitoring upvote counts, comment timestamps, and author activity

• Monitor ongoing discussions using Watcher mode to capture only new comments in subsequent runs

• Build commenter profiles by collecting usernames and profile URLs for further validation

• Export structured data into Google Sheets or CSV for analysis, sentiment tagging, or reporting

• Process posts at scale by providing a list of URLs via spreadsheet (paid plan only)

Perfect for teams conducting qualitative research, competitive analysis, or community sentiment tracking.

How teams use PhantomBuster's Reddit Post Comments Export Automation

Research teams, community managers, and market analysts use the Reddit Post Comments Export Automation to understand conversations, validate sentiment, and identify key contributors.

• Product feedback mining: Extract comment threads from product launch posts to identify feature requests, pain points, and user sentiment patterns.

• Competitive intelligence: Monitor competitor mention threads to track customer complaints, feature comparisons, and switching triggers.

• Community sentiment analysis: Capture discussion threads from brand subreddits to measure community health, identify advocates, and detect emerging issues.

• Research and trend analysis: Export comment data from high-engagement posts to analyze language patterns, topic trends, and conversation dynamics.

• Influencer identification: Track active commenters across multiple threads to identify thought leaders, frequent contributors, and potential partners.

How to set up Reddit Post Comments Export

Get your first comment thread export running in five steps:

1. Provide Reddit post URLs

Add a single Reddit post URL or upload a list via Google Sheet/CSV. If using a spreadsheet, ensure it's public. CSV upload is available on the paid plan only.

2. Connect your Reddit account

Connect your Reddit account via the PhantomBuster browser extension or provide a manual Reddit Session Cookie. Verify using the PhantomBuster browser extension.

3. Configure extraction behavior

Set "Max number of comments to scrape per post" (leave empty for all/approx 4000). Enable "Watcher mode" to reprocess posts and extract only new comments in future runs. This is critical for monitoring ongoing discussions without duplicating old data.

Important: Watcher mode tracks which comments have already been extracted, so future runs only capture new activity. This saves time and keeps your data clean.

4. Set launch frequency

Set launch frequency (Manual, Repeated, etc.). Choose Manual for one-time extracts or Repeated to monitor threads over time.

5. Launch

Click launch and let PhantomBuster extract the full comment thread. Your data will be ready for download or integration within minutes.

Best practices

Get the most out of this Automation while staying efficient and compliant.

• Start with one post to validate output size. Large threads generate large files. Test your workflow before processing multiple posts.

• Enable Watcher mode for ongoing monitoring. Use Watcher mode to monitor ongoing discussions without re-extracting old comments. This keeps your data fresh and reduces processing time.

• Understand execution time: Execution Time: ~40 seconds per 1,000 comments. Plan your schedule accordingly for large-scale extracts.

• Respect rate limits: Rate Limit: Extracts ~4,000 comments per post before a short rate limit applies. If you hit limits, wait a few minutes before relaunching.

• Know the Free Plan constraints: Free Plan: Max 10 rows export, no CSV upload. Upgrade to access full data and bulk processing.

• Account for deleted content: Deleted/removed comments may not be accessible. This is a platform limitation, not an Automation issue.

Troubleshooting: If rate limits hit, wait a few minutes before relaunching. Reddit applies temporary limits to prevent abuse. Spacing out your runs ensures consistent performance.

FAQs

Can I extract comments from multiple posts at once?

Yes. Provide a list of Reddit post URLs via Google Sheet/CSV. CSV upload is only available on the paid plan. You can process multiple threads in a single run.

What happens if a post has thousands of comments?

The Automation extracts ~4,000 comments per post before a short rate limit applies. Large threads generate large files, so start with one post to validate output size before scaling.

How does Watcher mode work?

Watcher mode tracks which comments have already been extracted. Enable "Watcher mode" to reprocess posts and extract only new comments in future runs. This is ideal for monitoring active discussions over time.

What data fields are included in the export?

Primary Fields: commentId, commentUrl, parentUrl (to thread or post), username, profileUrl, commentText, commentDate, upvoteCount. This gives you complete context for each comment, including who posted it, when, and how the community responded.

Can I extract deleted or removed comments?

No. Deleted/removed comments may not be accessible. This is a Reddit platform limitation. The Automation can only extract publicly visible content.

How long does it take to extract a full thread?

Execution Time: ~40 seconds per 1,000 comments. A post with 3,000 comments takes approximately 2 minutes to process.

What happens if I hit a rate limit?

If rate limits hit, wait a few minutes before relaunching. Reddit applies temporary limits to prevent abuse. The Automation will resume where it left off.

Can I use this on the Free Plan?

Yes, but with constraints. Free Plan: Max 10 rows export, no CSV upload. Upgrade to access full datasets and bulk processing via spreadsheet.

How do I validate the credibility of commenters?

Pair this Automation with the Reddit Profile Scraper to validate commenters. Export usernames from your comment data, then enrich them with account age, karma, and contribution counts.

Can I tag comments by sentiment or theme?

Yes. Use the Advanced AI Enricher to tag sentiment/themes after extracting your comment data. This lets you categorize feedback, detect trends, and measure community sentiment at scale.

Combine with other Automations

The Reddit Post Comments Export works best as part of a larger workflow. Here are the most common pairings:

• Reddit Profile Scraper: To validate commenters. Export commenter usernames, then enrich them with karma, account age, and credibility signals.

• Advanced AI Enricher: To tag sentiment/themes. Automatically categorize comments by tone, topic, or intent for faster analysis.

• Reddit Post Scraper: To update engagement metrics. Track how post-level metrics (upvotes, awards, comment counts) change over time alongside comment activity.

Ready to try it?

Start extracting Reddit comment threads today.

Try the Reddit Post Comments Export free. No setup or coding required. Connect your Reddit account, add a post URL, and get your first dataset in minutes. Perfect for research teams, community managers, and anyone who needs structured conversation data at scale.