Reddit Subreddit Scraper
Pricing
from $0.50 / 1,000 results
Reddit Subreddit Scraper
Extract subreddit metadata — about info, rules, similar communities, and optional comments — for community due diligence and maps. $0.50 per 1,000 rows.
Pricing
from $0.50 / 1,000 results
Rating
0.0
(0)
Developer
Scraping Dino
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a month ago
Last modified
Categories
Security
Limited permissionsShare
Reddit Subreddit Scraper - Community Info, Rules, Similar Subs & Comments
Overview
The Reddit Subreddit Scraper extracts rich community metadata for one or more subreddits: about/info, moderation rules, similar communities, and optionally recent comments. Use it to understand community size, positioning, guidelines, and adjacency before you engage or scrape posts at scale.
Built for community strategists, brand safety teams, researchers, and growth operators evaluating where to participate. Returns clean, structured JSON with type-tagged rows (info, rule, similar, comment, error) so you can filter datasets easily.
Pair it with the Subreddit Posts Scraper when you need both community context and feed content.
Features
- Batch multiple subreddits per run
- Core community info: title, description, subscribers, active users, NSFW, icons, banners
- Optional rules export (
includeRules) - Optional similar/related communities (
includeSimilar) - Optional comments listing (
includeComments) withmaxResultscap - Absolute Reddit URLs for community pages
- Concurrent processing with per-subreddit error isolation
- Premium structured JSON for BI and research workflows
Use Cases
- Market research — Profile communities before launching campaigns
- Brand monitoring — Document rules and norms for brand-safe engagement
- Competitor analysis — Map similar communities around rival hubs
- Lead generation — Qualify high-subscriber niches for outreach
- Content research — Align content with community guidelines
- Business intelligence — Maintain a catalog of strategic subreddits
- Academic research — Study community structure and rule taxonomies
- Recruitment — Evaluate professional communities for talent branding
Input
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
subreddits | array of strings | Yes | — | Subreddit names (askreddit or r/askreddit). |
includeRules | boolean | No | true | Fetch community rules. |
includeSimilar | boolean | No | true | Fetch similar/recommended subreddits. |
includeComments | boolean | No | false | Fetch comments from the community. |
maxResults | integer | No | 50 | Max comments when includeComments is true (1–500). |
How parameters affect the run: Disabling rules/similar reduces API calls. Enabling comments adds listing pagination up to maxResults. Info is always collected for each valid subreddit.
Example input
{"subreddits": ["marketing", "r/PPC"],"includeRules": true,"includeSimilar": true,"includeComments": false}
Output
Rows are typed. Info rows include:
| Field | Type | Description |
|---|---|---|
type | string | "info" |
subreddit | string | Display name |
id | string | null | Community ID |
title | string | null | Title |
description | string | null | Public description |
subscribers | number | null | Subscriber count |
activeUsers | number | null | Active user count |
createdUtc | number | string | null | Created |
nsfw | boolean | null | Over-18 flag |
quarantined | boolean | null | Quarantine flag |
icon | string | null | Icon URL |
banner | string | null | Banner URL |
url | string | null | Absolute community URL |
raw | object | Optional raw payload |
Rule rows (type: "rule"): shortName, description, kind, violationReason, createdUtc, priority, plus subreddit.
Similar rows (type: "similar"): listing summary fields plus sourceSubreddit, subscribers, url.
Comment rows (type: "comment"): standard listing summary fields.
Example Output
[{"type": "info","subreddit": "marketing","id": "2qh1i","title": "Internet Marketing","description": "A community for professional marketers.","subscribers": 1200450,"activeUsers": 842,"createdUtc": 1201234567,"nsfw": false,"quarantined": false,"icon": "https://styles.redditmedia.com/.../icon.png","banner": "https://styles.redditmedia.com/.../banner.png","url": "https://www.reddit.com/r/marketing/"},{"type": "rule","subreddit": "marketing","shortName": "No blog spam","description": "Do not drop links without meaningful discussion.","kind": "link","violationReason": "Spam","createdUtc": 1500000000,"priority": 0},{"type": "similar","sourceSubreddit": "marketing","subreddit": "digital_marketing","title": "Digital Marketing","subscribers": 310000,"url": "https://www.reddit.com/r/digital_marketing/"}]
Related Scrapers
- Reddit Subreddit Posts Scraper — Hot/new/top posts from the same communities
- Reddit Popular Subreddits Scraper — Discover communities to feed into this scraper
- Reddit Search Scraper — Find subreddits by keyword
- Reddit Comment Tree Scraper — Deep threads for specific posts