Reddit Scraper — Posts, Comments, Users & Subreddits

Scrape Reddit into clean JSON, CSV or Excel: posts and comments (with full nested reply threads), user profiles with karma, subreddit data and search results. No login and no account needed. Fast and reliable.

What does the Reddit Scraper do?

The Reddit Scraper collects public data from Reddit by subreddit, post URL, search query or username. It returns structured records for posts, nested comments, users and subreddits — score, upvote ratio, flair, awards, images, timestamps and more — ready to export or push into your own pipelines.

What data can you scrape from Reddit?

• 📋 Subreddit posts — any subreddit sorted by hot, new, top, rising or controversial, with time filters
• 💬 Comments — full nested reply threads with author, score and timestamps
• 🔍 Search — Reddit-wide or within a subreddit, by relevance, top, new or comment count
• 👤 Users — profile (karma, account age, verification) plus recent posts and comments
• 🖼️ Rich post data — score, upvote ratio, flair, awards, images/galleries, crossposts and media flags

Use cases

• Market & brand research — monitor mentions and sentiment across subreddits.
• Community analysis & lead gen — find and profile active users on a topic.
• LLM / RAG datasets — feed posts and comment threads into your models.
• Trend tracking — watch what rises in any subreddit over time.
• Content & competitor monitoring — follow discussions about a product or niche.

How to scrape Reddit data

1. Add the Reddit Scraper to your Apify account.
2. Paste any combination of subreddits, post URLs, search queries or usernames.
3. Choose a sort order and time filter, and toggle includeComments.
4. Set maxItems and maxComments, then click Run.
5. Export the dataset as JSON, CSV or Excel, or pull it via the Apify API.

Input

Provide any combination of subreddits, post URLs, search queries and usernames.

{
  "subreddits": ["https://www.reddit.com/r/programming"],
  "searchQueries": ["rust vs go"],
  "postUrls": ["https://www.reddit.com/r/programming/comments/abc123/some_post/"],
  "usernames": ["spez"],
  "sort": "hot",
  "time": "week",
  "maxItems": 50,
  "includeComments": true,
  "maxComments": 100
}

Field	Description
subreddits	Subreddit URLs or names to scrape posts from
postUrls	Direct post links (returns post + comments)
searchQueries	Search terms
usernames	Users to scrape (profile + recent activity)
sort	hot / new / top / rising / relevance / comments
time	hour / day / week / month / year / all (for top & search)
maxItems	Max posts per subreddit / query / user
includeComments	Attach nested comments to each post
maxComments	Max comments (incl. replies) per post

What you get

Each post is one dataset item; users and subreddits are emitted as type: "user" and type: "subreddit" items.

{
  "type": "post",
  "id": "abc123",
  "title": "Show HN: I built ...",
  "author": "some_user",
  "subreddit": "programming",
  "score": 2453,
  "upvoteRatio": 0.97,
  "numComments": 312,
  "permalink": "https://www.reddit.com/r/programming/comments/abc123/...",
  "createdAt": "2026-07-01T12:34:00.000Z",
  "selftext": "...",
  "comments": [
    { "author": "u1", "body": "Great work!", "score": 88, "replies": [ … ] }
  ]
}

Output schema

Field	Type	Description
type	string	Item type: post, comment, user or subreddit.
id	string	Reddit's base-36 identifier for the item.
fullId	string	Reddit fullname (prefixed identifier, e.g. t3_abc123).
title	string	Post title.
author	string	Username of the author.
authorFullId	string	Reddit fullname of the author.
subreddit	string	Subreddit name.
subredditPrefixed	string	Subreddit name with the r/ prefix.
selftext	string	Body text of a self/text post.
url	string (URL)	URL the post points to (external link or Reddit permalink).
permalink	string (URL)	Permanent Reddit link to the post.
score	integer	Net score (upvotes minus downvotes).
upvoteRatio	number	Ratio of upvotes to total votes.
numComments	integer	Number of comments on the post.
createdUtc	integer	Creation time as a Unix timestamp.
createdAt	string (ISO date)	Creation time in ISO 8601.
flair	string	Post flair text.
domain	string	Domain of the linked content.
isSelf	boolean	Whether the post is a text/self post.
isVideo	boolean	Whether the post hosts a video.
over18	boolean	Whether the post is marked NSFW.
spoiler	boolean	Whether the post is marked as a spoiler.
stickied	boolean	Whether the post is pinned in the subreddit.
locked	boolean	Whether commenting is locked.
thumbnail	string	Thumbnail image reference.
totalAwards	integer	Total number of awards received.
numCrossposts	integer	Number of times the post was crossposted.
images	array	List of image/gallery URLs attached to the post.
comments	array	Nested comment threads (when comments are included).

Related Actors

Building a broader social, news or research dataset? Pair this with:

• Telegram Channel Scraper — public posts from Telegram channels, no login.
• Google News Scraper — headlines by keyword and topic.
• Hacker News Scraper — stories, comments and users from Hacker News.
• Website Content Crawler — crawl any site into clean text for LLM/RAG.

FAQ

Do I need a Reddit account or login? No. Just add your inputs and run — no account, login or setup required.

How many posts and comments can I scrape per run? There's no fixed cap. maxItems limits posts per subreddit, query or user, and maxComments limits comments (including nested replies) per post. Larger runs simply take longer.

Is scraping Reddit legal? The Actor collects only publicly available data. You are responsible for using it in line with Reddit's terms and applicable laws — avoid collecting personal data you don't have a lawful basis to process.

What's the output format? A structured JSON dataset with one item per post, user or subreddit (comments nest inside their post). Export as JSON, CSV or Excel from the Apify Console or API.

Can I filter or limit results? Yes. Use sort (hot/new/top/rising/controversial), time filters, maxItems, maxComments and the includeComments toggle to scope exactly what you collect.

Can I connect it to other tools? The Reddit Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Reddit's terms. Not affiliated with Reddit.