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Reddit Post Comments Scraper for CSV Export logo

Reddit Post Comments Scraper for CSV Export

This Reddit comments scraper exports post metadata, main comments, first replies, deepest nested comment fields, scores, timestamps, links, and media URLs into a structured CSV. It is built for teams that need to scrape Reddit comments, compare discussion threads, or turn approved Reddit post URLs into spreadsheet-ready research data from the UScraper local desktop app.

Output

CSV

Fields

22

Input

Multi-URL

Waits

Built in

Template

Free

At a glance

Export Reddit posts to CSV with comment context

This workflow is for defined Reddit threads, not broad discovery. Add the JSON URLs you are allowed to collect, run the loop, and review one row per top-level comment with post-level context repeated beside the comment data. That makes the export easier to filter by subreddit, post title, author, score, or reply depth after it lands in Excel, Sheets, a BI staging table, or a qualitative coding tool.

Post and comment fields together

Keep the post title, score, author, image, and comment count beside main comment, reply, and deepest nested comment fields.

Multi-thread batches

The Navigate block starts with several Reddit JSON URLs and Loop Continue advances through them while Structured Export appends rows.

Local desktop execution

The stock workflow writes a local CSV. Your source URLs and exported rows are not routed through a hosted scraping actor unless you add that step.

Best-effort JSON parsing

Injected JavaScript parses the Reddit response, flattens comment branches, and creates hidden rows for the export block to read reliably.

Who this is for

Use cases for a Reddit data extractor

Product researchers

Voice-of-customer review

Favorable to scraping

Export discussion threads about launches, alternatives, pricing complaints, or feature requests, then tag repeated language in a spreadsheet.

Social listening analysts

Incident snapshots

Nuanced outcome

Download Reddit comments from a controlled set of threads, preserve comment links, and hand a structured CSV to reviewers before dashboarding.

For adjacent Reddit workflows, use the Reddit Search Scraper for search result pages, the Reddit Post Scraper by Keywords for post discovery, or the Reddit Subreddit Scraper for listing exports.


How to use

Configure the Reddit post comments scraper workflow

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

Add approved thread JSON URLs

Replace the sample api.reddit.com URLs in the Navigate block with the Reddit post URLs or JSON endpoints your project is allowed to collect.

3

Confirm the save folder

Structured Export writes reddit-post-comments-scraper.csv with headers enabled and append mode on. Change the folder before client or campaign runs.

4

Run the loop

UScraper navigates, waits for load, pauses briefly, injects the parser, checks for generated comment rows, and exports matching rows.

5

Open and audit the CSV

Review row counts, source links, blank reply fields, timestamps, and unusually short comments before using the file downstream.

Output preview

CSV columns produced by the template

The export mirrors the workflow definition and keeps post fields beside each comment row. Reply cells may be blank when a main comment has no nested reply, and the bundled preview fallback is only for the sample dogpictures URL.

subredditpost_titlepost_upvotemain_comment_authormain_comment_textreply_userlast_level_commment_author
dogpicturesHow does my baby look?5DumboddballAbsurdly gorgeous. So very very cute.kingoftaskDumboddball
dogpicturesHow does my baby look?5PrideMelodic3625Bee ooo ti fulll
catsShow me your cats in places they arent meant to be182example_userMine sleeps in the sink every day.reply_readerreply_reader
reddit-post-comments-scraper.csv
CSV - UTF-8 - Append

Column

subreddit

Community name from the post or comment object.

Column

post_title

Title of the parent Reddit post.

Column

post_author

Author of the parent post when returned.

Column

comment_link

Old Reddit permalink for the main comment.

Column

main_comment_text

Top-level comment body text.

Column

reply_text

First nested reply body, when available.

Column

last_level_comment_text

Deepest nested comment text detected in that branch.

Column

post_image

Preview, direct image URL, or thumbnail when available.

Headers included - all configured Reddit JSON URLs append into one file

Comparison

Local template vs Reddit API and hosted actors

OptionGood fitTrade-off
UScraper Reddit templateNo-code users who need Reddit posts to CSV from controlled thread URLsBest-effort access; live extraction depends on Reddit returning accessible JSON
Official Reddit APIApproved integrations that need sanctioned data access and stable contractsRequires developer setup, credentials, quota planning, and API implementation
Hosted Reddit scraper actorsTeams that want managed scraping infrastructureSource URLs and output pass through a third party and may bill per run or dataset

Frequently asked questions

Reddit comments can be publicly visible, but collection may still be limited by Reddit terms, API rules, robots directives, subreddit expectations, copyright, privacy law, and your reuse case. Use approved access, keep batches measured, avoid private or restricted content, and get legal review before republishing, selling, or training models on exported data.

Before you run

Practical limits and maintenance notes

Guardrails for Reddit comment exports

Rate limits

Keep thread batches measured

Start with a few URLs, preserve the waits, and pause if Reddit returns blocked, login, developer-token, unusual-traffic, or empty JSON responses.

Access

Live JSON is not guaranteed

During template analysis, Reddit blocked some old and API hosts. Successful extraction depends on your session, network, endpoint, and Reddit policy state at run time.

Compliance

Document your reuse rules

Keep source URLs, minimize personal data, and review Reddit's data terms before publishing datasets, client dashboards, or AI 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.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]