Product researchers
Voice-of-customer review
Favorable to scraping
Export comment threads around product launches, alternatives, complaints, or feature requests, then tag objections and repeated language in a spreadsheet.
Social Media$50Free
Reddit Comments Scraper for CSV Export
This Reddit comments scraper turns Old Reddit thread and comment URLs into a structured CSV of post metadata, top-level comments, nested replies, scores, media links, and source URLs. It is built for teams that need to scrape Reddit comments, export Reddit replies, or review conversation data from a local desktop app workflow.
Output
CSV
Columns
25
Input
Multi-URL
Focus
Comments
Run mode
Local
At a glance
Reddit comments to CSV from thread URLs
Start from exact discussion URLs
Paste Old Reddit post or comment permalinks into the Navigate block when you already know which conversations matter. The workflow loops through each URL and keeps the source URL attached to every export row.
Separate comments and replies
The export keeps main comment author, time, score, text, and image fields beside reply-level and last-level comment fields, so analysts can preserve thread context after moving the data into a spreadsheet.
Create a reviewable CSV
Structured Export writes reddit-scraper.csv with headers and append mode enabled. It is designed for Excel, Google Sheets, BI staging, qualitative coding, or human review queues.
Detect access blocks explicitly
If Reddit returns the common network-policy block page, the template records scrape_status and block_message so failed URLs are visible in the dataset.
Who uses it
Use cases for a Reddit data extractor
Content and SEO teams
Question mining
Favorable to scraping
Collect long-form discussion replies and compare them with search exports from the Google Search Scraper or Search Engine Aggregator.
Social listening analysts
Incident review
Nuanced outcome
Download Reddit comments from a defined set of threads, preserve source links, and hand the CSV to reviewers before building dashboards or summaries.
How to use
Scrape Reddit comments in five steps
1
Download the JSON template
Use the page CTA or download the hosted file from the Reddit comments scraper JSON.
2
Import it into UScraper
Open the local desktop app, import the JSON, and review the graph groups for Entry & Setup, Page Load, Pagination Loop, Data Extraction, and diagnostics.
3
Paste approved Reddit URLs
Replace the sample Old Reddit comment URLs in the Navigate block with the thread or permalink list you are allowed to collect.
4
Confirm the export path
Structured Export writes reddit-scraper.csv to the configured save folder with headers enabled and append mode on.
5
Run and inspect status
UScraper navigates each URL, waits for load, checks for block text, expands available comment links, exports visible rows, and continues to the next input URL.
Output preview
What the Reddit comment CSV export includes
reddit-scraper.csvColumn
Subreddit
Community name parsed from the thread or current URL.
Column
Post_title
Visible title from the parent Reddit post.
Column
Post_author
Author of the parent post when present.
Column
Main_comment_author
Top-level comment author for the current thread branch.
Column
Main_comment_text
Text from the top-level comment body.
Column
Reply_user
Reply author when the current row is a nested reply.
Column
Reply_text
Nested reply body text.
Column
source_url
Input thread or comment URL used for auditability.
Column
scrape_status
ok or blocked_by_reddit_network_policy.
Sample rows
2 of many
| Subreddit | Post_title | Post_author | Main_comment_author | Main_comment_text | Reply_user | Reply_text | source_url | scrape_status |
|---|---|---|---|---|---|---|---|---|
| dogpictures | How does my baby look? | sample_owner | photo_fan_21 | That expression is perfect. | reply_reader | Agreed, the lighting makes it even better. | ok | |
| dogpictures | blocked_by_reddit_network_policy |
Headers included - visible Old Reddit comment rows append into one file
For adjacent Reddit workflows, use the Reddit Search Scraper for keyword result pages, the Reddit Post Scraper by Keywords for post-level monitoring, or the Reddit Subreddit Scraper for listing-page exports. Browse the template library when the research expands beyond Reddit.
Frequently asked questions
Reddit comments may be publicly visible, but automated collection can still be limited by Reddit terms, robots rules, API policies, subreddit expectations, privacy law, copyright, and contracts. Use conservative pacing, avoid restricted content, keep source URLs, and get legal review before redistribution, resale, client reporting, or AI training.
Before you run
Practical limits and maintenance notes
Guardrails for reliable Reddit comment exports
Rate limits
Keep thread batches measured
Start with a few URLs, preserve the waits, and avoid parallel runs from the same network. Stop if Reddit returns repeated policy, login, developer-token, or unusual-traffic pages.
Layout drift
Old Reddit markup can change
This workflow targets Old Reddit post and comment rows. Empty exports, missing reply fields, or broken load-more clicks usually mean the live layout or access state needs a template refresh.
Compliance
Do not treat public as permissionless
Review Reddit's developer, data API, robots, and public-content policies before publishing downstream datasets, client dashboards, or training corpora.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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