Reddit Subreddit Posts Scraper - Extract Hot, New, Top & Controversial Posts

Overview

The Reddit Subreddit Posts Scraper collects posts from one or more subreddits across feed modes — Hot, New, Rising, Top, and Controversial. Set a time window for Top/Controversial and a per-subreddit result cap to build reliable community datasets.

Perfect for community managers, social listening platforms, researchers, and developers automating subreddit monitoring. Pass plain names (askreddit) or r/-prefixed values; the scraper normalizes them and returns clean, structured JSON for every post.

Use it for continuous brand tracking inside niche communities, competitor launch watches, or building training sets from high-signal subreddits.

Features

• Multi-subreddit batch runs
• Feed modes: hot, new, rising, top, controversial
• Time filter for Top/Controversial: hour → all
• Per-subreddit maxResults (default 75, max 500)
• Accepts askreddit or r/askreddit forms
• Structured post summaries with scores, authors, and URLs
• Concurrent subreddit workers for speed
• Per-target error rows for resilient batches

Use Cases

• Brand monitoring — Watch product mentions in target communities
• Market research — Sample discussions from category-defining subs
• Competitor analysis — Track competitor threads in industry subs
• Trend monitoring — Compare Hot vs Rising inside a niche
• Content research — Find high-upvote posts for content ideas
• Lead generation — Surface “looking for recommendations” posts
• AI training datasets — Curate domain-specific Reddit posts
• Data analytics — Measure engagement by subreddit and feed type
• Academic research — Export community corpora for coding

Input

Parameter	Type	Required	Default	Description
subreddits	array of strings	Yes	—	Subreddit names (python, r/python, or community URLs).
mode	string	No	"hot"	Feed: hot, new, rising, top, controversial.
time	string	No	"week"	Time range when mode is top or controversial.
maxResults	integer	No	75	Max posts per subreddit (1–500).

How parameters affect the run: mode selects the listing algorithm. time is ignored for hot/new/rising. Larger maxResults increases pagination depth and runtime per subreddit.

Example input

{
  "subreddits": ["SaaS", "startups", "r/Entrepreneur"],
  "mode": "top",
  "time": "month",
  "maxResults": 100
}

Output

Field	Type	Description
subreddit	string	Normalized subreddit
mode / feed metadata	string	Feed used for the fetch
id	string | null	Post ID
name	string | null	Fullname
kind	string | null	Kind (t3)
title	string | null	Title
author	string | null	Author
score	number | null	Score
numComments	number | null	Comments
createdUtc	number | string | null	Created
permalink	string | null	Permalink
url	string | null	Link URL
body	string | null	Selftext excerpt

Error rows include type: "error", the subreddit, and error message.

Example Output

{
  "subreddit": "SaaS",
  "mode": "top",
  "time": "month",
  "id": "1mn8901",
  "name": "t3_1mn8901",
  "kind": "t3",
  "title": "We hit $10k MRR with a boring vertical CRM — lessons learned",
  "author": "bootstrap_founder",
  "score": 1540,
  "numComments": 248,
  "createdUtc": 1715600000,
  "permalink": "https://www.reddit.com/r/SaaS/comments/1mn8901/we_hit_10k_mrr_with_a_boring_vertical_crm/",
  "url": "https://www.reddit.com/r/SaaS/comments/1mn8901/we_hit_10k_mrr_with_a_boring_vertical_crm/",
  "body": "No VC, no Twitter fame — just weekly customer interviews and ruthless prioritization..."
}

Related Scrapers

• Reddit Subreddit Scraper — About info, rules, similar communities
• Reddit Popular Posts Scraper — Sitewide trending feeds
• Reddit Search Scraper — Keyword discovery across Reddit
• Reddit Comment Tree Scraper — Pull comments for posts you collect here