🔍 Reddit Scraper — Posts & Comments | No Login

What does Reddit Scraper do?

Reddit Scraper extracts posts, comments, and metadata from any subreddit, search query, or direct Reddit URL — with no login, no API key, and no cookies required. It uses Reddit's public JSON API for 99%+ reliability and returns clean, structured data ready for analysis, AI pipelines, or lead generation workflows.

Why use this Reddit Scraper?

• No login or Reddit API key needed — works out of the box on any public subreddit or search
• 99%+ success rate — powered by Reddit's own JSON API, not fragile HTML scraping
• 50% cheaper than the leading competitor — $0.002 per result vs $0.004 elsewhere
• Full MCP/AI compatibility — every output field has semantic names and metadata so Claude and other AI agents understand exactly what data they're getting
• Advanced filtering — filter by minimum score, flair, author, date, comment count, and NSFW status

What data can Reddit Scraper extract?

Field	Description	Example
post_id	Reddit post identifier	t3_abc123
title	Full post title	"Best Python resources in 2025?"
author	Reddit username	"curious_dev"
subreddit	Community name	"learnprogramming"
url	Full post URL	"https://reddit.com/r/..."
body_text	Post text content	"I've been coding for 2 years..."
score	Net upvotes	482
upvote_ratio	% upvoted	0.97
num_comments	Total comments	84
flair	Post flair label	"Question"
external_url	Link post URL	"https://github.com/..."
thumbnail_url	Thumbnail image	"https://b.thumbs..."
is_nsfw	NSFW flag	false
is_video	Video post flag	false
created_at	Post creation time (UTC)	"2025-11-15T14:32:00Z"
scraped_at	When scraped	"2026-04-09T10:00:00Z"
data_type	Record type	"post" or "comment"

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How to scrape Reddit

Step 1 — Choose your input source

Option A: By Subreddits Enter subreddit names (with or without r/ prefix). The scraper fetches posts sorted by your chosen method.

{
  "subreddits": ["programming", "learnpython", "MachineLearning"],
  "sort": "top",
  "time": "week",
  "maxResults": 100
}

Option B: By Search Query Search across all of Reddit for any keyword or phrase.

{
  "searchQueries": ["AI news 2025", "best side hustle"],
  "sort": "relevance",
  "time": "month",
  "maxResults": 200
}

Option C: By Direct URL Pass any Reddit URL and the scraper extracts data from it directly.

{
  "startUrls": [
    { "url": "https://www.reddit.com/r/datascience/top/" },
    { "url": "https://www.reddit.com/r/programming/search/?q=typescript" }
  ],
  "maxResults": 50
}

Step 2 — Optional: Enable comment scraping

Set includeComments: true to also pull the top comments for each post.

{
  "subreddits": ["AskReddit"],
  "maxResults": 20,
  "includeComments": true,
  "maxCommentsPerPost": 50
}

Comment records are saved alongside posts in the same dataset, with data_type: "comment".

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Input Parameters

Parameter	Type	Default	Description
subreddits	string[]	—	Subreddit names to scrape
searchQueries	string[]	—	Keywords to search on Reddit
startUrls	URL[]	—	Direct Reddit URLs to scrape
sort	string	hot	Sort by: hot, new, top, rising, controversial, relevance
time	string	all	Time filter: hour, day, week, month, year, all
maxResults	number	50	Maximum total posts to save
includeComments	boolean	false	Scrape top comments for each post
maxCommentsPerPost	number	20	Max comments per post
includeNSFW	boolean	false	Include NSFW posts
minScore	number	—	Minimum upvote score filter
maxScore	number	—	Maximum upvote score filter
minComments	number	—	Minimum comment count filter
flairFilter	string	—	Only include posts with this exact flair
authorFilter	string	—	Only include posts from this username
postDateLimit	string	—	Exclude posts older than this date (YYYY-MM-DD)
proxyConfiguration	object	Residential	Proxy settings

---

Output Example

{
  "post_id": "t3_1abc23",
  "title": "What's the best way to learn Python in 2025?",
  "author": "curious_dev",
  "subreddit": "learnprogramming",
  "url": "https://www.reddit.com/r/learnprogramming/comments/abc123/",
  "permalink": "/r/learnprogramming/comments/abc123/whats_the_best_way/",
  "body_text": "I've been coding JavaScript for 2 years and want to branch out...",
  "score": 482,
  "upvote_ratio": 0.97,
  "num_comments": 84,
  "flair": "Question",
  "domain": "self.learnprogramming",
  "external_url": null,
  "thumbnail_url": null,
  "is_nsfw": false,
  "is_video": false,
  "is_self": true,
  "created_at": "2025-11-15T14:32:00.000Z",
  "scraped_at": "2026-04-09T10:00:00.000Z",
  "source_url": "https://www.reddit.com/r/learnprogramming/comments/abc123/",
  "data_type": "post"
}

---

Use Cases

Market Research & Consumer Insights Scrape product-related subreddits to understand what real customers say about your product or competitors. Reddit users are unusually candid — ideal for genuine sentiment analysis.

AI & NLP Training Data Build large, diverse text datasets for fine-tuning LLMs or sentiment classifiers. Reddit's wide range of topics, writing styles, and community sizes makes it one of the best public text sources.

Brand Monitoring Set up scheduled runs on keyword searches for your brand name, product, or competitors. Catch PR issues early or spot positive sentiment to amplify.

Content Strategy & Trend Discovery Track which posts get the most upvotes in your niche each week. Use the sort: top + time: week combo to find what resonates with your target audience before creating content.

Lead Generation & Community Analysis Find engaged community members in your niche. Use minScore to filter for only high-signal discussions.

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How to run via API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('USERNAME/reddit-posts-scraper').call({
  subreddits: ['programming', 'learnpython'],
  sort: 'top',
  time: 'week',
  maxResults: 500,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools. Data is available in JSON, CSV, Excel, XML, and HTML formats.

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Pricing

This actor uses pay-per-event pricing — you only pay for what you actually scrape.

Plan	Price per Post
Free	$0.002
Bronze	$0.0018
Silver	$0.0016
Gold+	$0.0015

Cost examples:

• 100 posts → ~$0.20
• 1,000 posts → ~$2.00
• 10,000 posts → ~$15–20

The Free Apify plan includes $5 in monthly credits — enough to scrape 2,000+ posts for free every month.

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FAQ

Does this require a Reddit account or API key? No. This scraper uses Reddit's public JSON API endpoints which are accessible without authentication. No cookies, no login, no Reddit API key needed.

Why is the success rate higher than other Reddit scrapers? Most Reddit scrapers use Playwright (a browser) to render pages. This actor queries Reddit's own JSON API directly using lightweight HTTP requests, which is more reliable, faster, and harder to block than headless browser traffic.

Can I scrape private subreddits? No. This scraper only accesses publicly available Reddit data. Private or quarantined subreddits require authentication and are not supported.

Why do some posts show [deleted] as the author? Reddit accounts that were deleted after posting will show [deleted]. This is Reddit's own value — the scraper preserves it accurately.

How do I scrape more than 1,000 posts from a subreddit? Reddit limits browsing to ~1,000 posts per listing view. To collect more, use searchQueries with sort: new and postDateLimit to fetch posts in time-based windows. This breaks the 1,000-post cap.

Do proxies cost extra? Apify Residential proxies are included in your Apify subscription. The scraper uses them automatically when configured.

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Legal Disclaimer

This actor is designed for lawful data collection from publicly available Reddit content. Users are solely responsible for ensuring compliance with Reddit's Terms of Service, applicable laws, data protection regulations (GDPR, CCPA), and any other legal requirements in their jurisdiction. Do not use this tool to collect data in violation of Reddit's Terms of Service or for any unlawful purpose. Anthropic and the actor developer assume no liability for misuse.