Reddit Comment Tree Scraper - Scrape Full Thread Comments by Sort

Overview

The Reddit Comment Tree Scraper extracts comments from Reddit posts using full post URLs. Choose sort order (best/confidence, top, new, controversial, old, or Q&A) and cap results per post — ideal when you need discussion text, not just post metadata.

Designed for sentiment analysts, community managers, NLP engineers, and researchers studying threaded conversations. Point it at product launches, brand crises, AMAs, or research threads and receive clean, structured JSON for every comment collected.

Pagination and per-post limits keep large threads manageable while preserving author, score, subreddit, timestamps, and body text for downstream analysis.

Features

• Multi-URL batch scraping of Reddit comment trees
• Sort modes: confidence (best), top, new, controversial, old, qa
• Configurable maxResults per post (1–500)
• Structured comment fields: id, author, score, body, permalink, timestamps
• Concurrent workers across posts for faster runs
• Per-post error rows so one failure does not abort the batch
• Clean JSON ready for NLP, moderation review, or BI tools

Use Cases

• Brand monitoring — Capture customer sentiment under viral posts
• Market research — Mine product feedback and objections in threads
• Competitor analysis — Read reactions to competitor launches
• Content research — Pull quotable discussion for articles or reports
• AI training datasets — Build conversation corpora with ratings/scores
• Academic research — Study discourse structure and toxicity signals
• Trend monitoring — Track emerging themes in high-engagement threads
• Data analytics — Score comment velocity and engagement over time

Input

Parameter	Type	Required	Default	Description
postUrls	array of strings	Yes	—	Reddit post URLs to scrape comments from (one per line).
sort	string	No	"confidence"	Comment sort: confidence, top, new, controversial, old, or qa.
maxResults	integer	No	50	Max comments per post (1–500).

How parameters affect the run: sort changes which comments appear first and which get truncated when maxResults is hit. Higher maxResults increases API volume and runtime.

Example input

{
  "postUrls": [
    "https://www.reddit.com/r/AskReddit/comments/1xyz789/whats_the_best_productivity_app_youve_used/"
  ],
  "sort": "top",
  "maxResults": 100
}

Output

Each row is a comment (or error) with listing summary fields:

Field	Type	Description
type	string	Typically "comment" or "error"
sourceUrl	string	Source post URL
sort	string	Sort used for the request
id	string | null	Comment ID
name	string | null	Fullname (t1_...)
kind	string | null	Reddit kind
title	string | null	Parent link title when present
author	string | null	Comment author
subreddit	string | null	Subreddit
score	number | null	Comment score
numComments	number | null	Usually null for comments
createdUtc	number | string | null	Creation time
permalink	string | null	Comment permalink
url	string | null	Related URL if present
body	string | null	Comment text (may be truncated to ~500 chars in summary mapping)

Optional / sparse fields may be null depending on API payload shape.

Example Output

[
  {
    "type": "comment",
    "sourceUrl": "https://www.reddit.com/r/AskReddit/comments/1xyz789/whats_the_best_productivity_app_youve_used/",
    "sort": "top",
    "id": "kx91abc",
    "name": "t1_kx91abc",
    "kind": "t1",
    "title": "What's the best productivity app you've used?",
    "author": "deepworkfan",
    "subreddit": "AskReddit",
    "score": 4821,
    "numComments": null,
    "createdUtc": 1718210000,
    "permalink": "https://www.reddit.com/r/AskReddit/comments/1xyz789/.../kx91abc/",
    "url": null,
    "body": "After trying dozens of tools, the only one that stuck for me is a simple markdown notes app plus a weekly review ritual."
  }
]

Related Scrapers

• Reddit Post Scraper — Post metadata and duplicates for the same URLs
• Reddit Search Scraper — Find posts first, then scrape their comments
• Reddit User Comments Scraper — Comments by username across Reddit
• Reddit Subreddit Scraper — Optional community comments plus rules/info