Reddit Subreddit Posts Scraper | Export Feed Data in Bulk (2026)

108 fields per post, 100 posts in ~1 second — scrape any subreddit feed with full metadata.

Pick a subreddit, choose your sort order, and get back structured data for every post. Hot, new, top, rising, controversial. Optional comments. One subreddit or hundreds at once.

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➤ You are here Subreddit Posts Feed scraper with 108 fields	Post & Comments Full comment tree scraper	Profile Scraper Bulk profile & karma lookup	User Content Posts & comments history

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Reddit Subreddit Posts Scraper (clearpath/reddit-subreddit-posts-scraper) on Apify scrapes posts from any public subreddit feed. Returns 108 fields per post including title, author, score, upvote ratio, comment count, creation date, flair, awards, media metadata, and subreddit subscriber count. 5 sort orders: hot, new, top, rising, controversial. Time filters for top/controversial: hour, day, week, month, year, all. Optional top comments per post (up to 1,000). Input: single subreddit name, array of names/URLs, or uploaded CSV/TXT file. Any format: plain name, r/name, full URL. Max 1,000 posts per subreddit per run. Output: JSON array with post rows (108 fields) and optional comment rows (18 fields). Pricing: $1.99 per 1,000 posts + $1.00 per 1,000 comments (first 100 comments per post free). Free tier: 5 lifetime runs, 100 posts per run. Apify token required.

Key Features

• 108 fields per post — score, upvote ratio, flair, awards, media URLs, crosspost data, subreddit subscriber count, and 90+ more fields from the full Reddit feed response
• 5 sort orders — hot, new, top, rising, controversial. Add time filters (hour, day, week, month, year, all) for top and controversial sorts
• Optional comments — toggle on to fetch up to 1,000 top comments per post, with author, score, depth, and reply structure. First 100 comments per post are free
• Bulk subreddit input — paste names, add URLs, or upload a CSV/TXT file. Mix formats freely: AskReddit, r/AskReddit, reddit.com/r/AskReddit
• Fast — posts-only mode scrapes 100 posts in roughly 1 second. Multiple subreddits run in parallel

How to Scrape Reddit Subreddit Posts

Single subreddit, default settings

Paste a subreddit name. The actor fetches up to 100 hot posts with all 108 fields.

{
    "subreddit": "AskReddit"
}

All of these formats work interchangeably:

{
    "subreddit": "r/AskReddit"
}

{
    "subreddit": "https://www.reddit.com/r/AskReddit"
}

Top posts of the past week

Set sort to top and timeFilter to week to get the highest-scoring posts from the last 7 days.

{
    "subreddit": "technology",
    "sort": "top",
    "timeFilter": "week",
    "maxPostsPerSubreddit": 200
}

Rising posts (catch trends early)

Rising surfaces posts that are gaining traction right now. Useful for monitoring subreddits for breaking content.

{
    "subreddit": "wallstreetbets",
    "sort": "rising"
}

Posts with comments

Enable includeComments to fetch top comments for each post. Each post gets up to maxCommentsPerPost comments (default 1,000).

{
    "subreddit": "AskReddit",
    "sort": "top",
    "timeFilter": "day",
    "maxPostsPerSubreddit": 50,
    "includeComments": true,
    "maxCommentsPerPost": 200
}

The first 100 comments per post are included free. Comments beyond 100 are charged at $1.00 per 1,000.

Multiple subreddits in one run

Use the subreddits array for small batches. Mix any input format.

{
    "subreddits": [
        "AskReddit",
        "r/technology",
        "https://www.reddit.com/r/science"
    ],
    "sort": "hot",
    "maxPostsPerSubreddit": 100
}

Subreddits run in parallel across multiple sessions, so adding more subreddits doesn't proportionally increase run time.

Bulk from file

Upload a .txt or .csv file through the Apify Console, or point to a hosted file URL. TXT files expect one subreddit per line. CSV files auto-detect a subreddit, sub, or name column.

{
    "subredditsFile": "https://example.com/my-subreddits.csv",
    "sort": "new",
    "maxPostsPerSubreddit": 500
}

Drag and drop a file directly into the "Subreddits file" field in the Apify Console for the fastest setup.

Controversial posts, all time

Find the most divisive posts ever submitted to a subreddit.

{
    "subreddit": "unpopularopinion",
    "sort": "controversial",
    "timeFilter": "all",
    "maxPostsPerSubreddit": 100
}

Input Parameters

Parameter	Type	Default	Description
subreddit	string	—	A single subreddit name or URL
subreddits	string[]	[]	Multiple subreddit names or URLs. Use "Bulk edit" to paste a list
subredditsFile	string	—	Upload a .txt/.csv file, or paste a URL to a hosted file
sort	enum	hot	Sort order: hot, new, top, rising, controversial
timeFilter	enum	all	Time range: hour, day, week, month, year, all. Only applies to top and controversial sorts
maxPostsPerSubreddit	integer	100	Max posts to scrape per subreddit (1-1,000). Reddit limits feeds to ~1,000 posts
includeComments	boolean	false	Fetch top comments for each post
maxCommentsPerPost	integer	1000	Max comments per post when comments are enabled (1-1,000)

At least one of subreddit, subreddits, or subredditsFile is required.

Sort order reference

Value	Behavior
hot	Reddit's default. Balances recency and engagement to surface currently active posts
new	Most recent posts first, regardless of score
top	Highest score (upvotes minus downvotes). Combine with timeFilter to control the time window
rising	Posts gaining momentum right now. The feed is smaller but catches trends before they hit the front page
controversial	Posts with roughly equal upvotes and downvotes. Combine with timeFilter for different windows

Time filter reference

Value	Window
hour	Past 60 minutes
day	Past 24 hours
week	Past 7 days
month	Past 30 days
year	Past 365 days
all	All time (default)

Time filters only apply to top and controversial sort orders. They are ignored for hot, new, and rising.

What Data Can You Extract from Subreddit Posts?

The output contains two row types: post rows and comment rows (when comments are enabled). Each post row contains 108 fields from the full Reddit feed response. The _subreddit field on every row lets you group results when scraping multiple subreddits.

Post row (108 fields, key fields shown)

{
    "_type": "post",
    "_subreddit": "AskReddit",
    "_status": "found",
    "title": "What horrifying statistic genuinely jarred you when you first heard it?",
    "author": "ordrius098",
    "score": 2175,
    "upvote_ratio": 0.96,
    "num_comments": 1932,
    "created_utc": 1775268248.0,
    "permalink": "/r/AskReddit/comments/1sbwqg1/...",
    "url": "https://www.reddit.com/r/AskReddit/comments/1sbwqg1/...",
    "selftext": "",
    "domain": "self.AskReddit",
    "is_self": true,
    "over_18": false,
    "spoiler": false,
    "stickied": false,
    "locked": false,
    "num_crossposts": 0,
    "subreddit_subscribers": 58102423
}

Every post includes the complete Reddit feed response. Beyond the key fields above, you also get:

Content and media: selftext_html, thumbnail, thumbnail_height, thumbnail_width, preview (image resolutions), media (video/embed metadata), media_embed, secure_media, secure_media_embed, gallery_data, media_metadata, is_gallery, is_video, is_reddit_media_domain, post_hint

Scores and engagement: score, ups, downs, upvote_ratio, num_comments, num_crossposts, total_awards_received, gilded, all_awardings, top_awarded_type, awarders

Author and flair: author, author_fullname, author_flair_text, author_flair_css_class, author_flair_type, author_flair_template_id, author_flair_richtext, author_flair_background_color, author_flair_text_color, author_premium, author_patreon_flair

Post flair and categorization: link_flair_text, link_flair_css_class, link_flair_type, link_flair_template_id, link_flair_richtext, link_flair_background_color, link_flair_text_color, category

Subreddit metadata: subreddit, subreddit_id, subreddit_subscribers, subreddit_name_prefixed, subreddit_type

Moderation and status: stickied, locked, removed_by_category, banned_by, approved_by, mod_reason_by, mod_reason_title, can_mod_post, distinguished

URLs and identifiers: id, name, permalink, url, url_overridden_by_dest, domain, full_link

Flags: over_18, spoiler, is_self, is_video, is_original_content, is_meta, is_crosspostable, is_robot_indexable, hide_score, archived, contest_mode, pinned, no_follow, send_replies

Comment row (when includeComments is enabled)

{
    "_type": "comment",
    "_post_id": "t3_1sbwqg1",
    "_subreddit": "AskReddit",
    "_status": "found",
    "id": "t1_mnx5qs6",
    "author": "leninzen",
    "score": 1202,
    "depth": 0,
    "parentId": null,
    "body": "You do see it slowly build tbh...",
    "createdAt": "2026-04-04T13:03:54Z",
    "editedAt": null,
    "permalink": "/r/AskReddit/comments/1sbwqg1/.../mnx5qs6/",
    "isStickied": false,
    "isLocked": false,
    "isScoreHidden": false,
    "distinguishedAs": null,
    "authorFlair": null,
    "isDeleted": false,
    "childCount": 11
}

Comment fields:

Field	Type	Description
_type	string	Always "comment"
_post_id	string	Parent post ID (t3_ prefixed), links this comment to its post
_subreddit	string	Subreddit name
_status	string	found
id	string	Comment ID (t1_ prefixed)
author	string	Username, or null for deleted comments
score	integer	Upvotes minus downvotes
createdAt	string	ISO 8601 creation timestamp
editedAt	string/null	ISO 8601 edit timestamp, or null if never edited
depth	integer	Nesting level. 0 = top-level reply, 1 = reply to a top-level, etc.
parentId	string/null	Parent comment ID, or null for top-level comments
permalink	string	Relative URL path to the comment
body	string	Comment text in markdown
isStickied	boolean	Pinned by a moderator
isLocked	boolean	Replies disabled
isScoreHidden	boolean	Score hidden by subreddit rules
distinguishedAs	string/null	"moderator", "admin", or null
authorFlair	string/null	User's flair text in the subreddit
isDeleted	boolean	Deleted by author or removed by moderators
childCount	integer	Number of direct replies

Comments Add-on

Comments are optional and off by default. When you enable includeComments, the actor fetches the top comments for each post in a separate pass after collecting all posts.

How the pricing works

Component	Cost
Posts	$1.99 per 1,000 posts
Comments (first 100 per post)	Free
Comments (beyond 100 per post)	$1.00 per 1,000 comments

The free comment tier means most use cases cost nothing extra. If you scrape 50 posts with maxCommentsPerPost set to 100, you pay only for the posts. The comment charge only kicks in for the 101st comment and beyond on each individual post.

Cost examples

Scenario	Posts	Comments	Estimated cost
100 posts, no comments	100	0	~$0.20
100 posts, 100 comments each	100	10,000 (all free)	~$0.20
50 posts, 500 comments each	50	25,000 (5,000 free, 20,000 charged)	~$0.10 + $20.00 = ~$20.10
1,000 posts, no comments	1,000	0	~$1.99

For large comment volumes, consider Reddit Post & Comments Scraper instead. It is built specifically for deep comment extraction with full tree expansion, six sort orders, and Q&A filtering.

Pricing — Pay Per Event (PPE)

$1.99 per 1,000 posts  •  $1.00 per 1,000 comments

You pay only for what you scrape. Posts and comments are charged separately. The first 100 comments per post are always free.

Free tier: 5 lifetime runs with up to 100 posts per run. No credit card needed to try the actor.

Budget controls: Set a spending limit on any run from the Apify Console. The actor stops automatically when the budget is reached, and you keep all data scraped up to that point.

Use Cases

Subreddit monitoring. Track a subreddit's front page over time. Schedule daily runs with sort: "hot" to capture what's trending. Compare scores, comment counts, and upvote ratios across snapshots to detect shifts in community interest. Export to Google Sheets via Apify integrations for automatic dashboards.

Trend detection. Use sort: "rising" to catch posts gaining traction before they hit the front page. Rising surfaces content early in its lifecycle, giving you a head start on breaking topics, viral content, and emerging discussions. Ideal for brand monitoring, news tracking, and competitive research.

Content research. Pull top posts from niche subreddits to understand what resonates with specific audiences. The upvote_ratio field tells you how divisive a topic is: 0.95+ means near-universal agreement, while 0.50-0.60 indicates a split community. Flair data reveals the content categories a community values most. Combine with time filters to study seasonal patterns.

Dataset building. Export structured subreddit data for analysis, machine learning, or data journalism. The 108 fields per post give you more metadata than most Reddit datasets, including media URLs, crosspost chains, award breakdowns, and author flair. Download as JSON, CSV, or Excel from the Apify Console, or pipe directly into your data pipeline via the Apify API.

Competitor analysis. Scrape brand-related subreddits to see what customers discuss, complain about, and recommend. Compare engagement metrics across multiple subreddits in a single run. The num_comments and upvote_ratio fields are strong signals for how much discussion a topic generates and whether the sentiment skews positive or negative.

Academic research. Study posting patterns, community dynamics, and content virality. The created_utc timestamp combined with score data lets you analyze how posts perform over different time windows. Crosspost fields reveal how content spreads between communities. Schedule recurring runs to build longitudinal datasets.

Lead generation. Monitor subreddits where your target audience asks for recommendations. Posts in subreddits like r/SaaS, r/Entrepreneur, or r/freelance often contain explicit purchase intent. Export the data and filter by flair or keywords to find high-intent threads.

SEO and content strategy. Analyze which topics generate the most engagement in your industry's subreddits. Use sort: "top" with timeFilter: "month" to find the highest-performing content themes. The title and selftext fields combined with engagement metrics reveal what your audience cares about most.

FAQ

How many fields do I get per post? 108 fields per post. This includes everything Reddit returns in its feed response: scores, ratios, flair, awards, media metadata, crosspost data, moderation flags, and subreddit information. You get the complete raw data, not a subset.

What's the maximum number of posts I can scrape? Up to 1,000 posts per subreddit per run. This is a Reddit limitation, not an actor limitation. For most subreddits, the new sort provides the best coverage since it returns posts chronologically. Schedule recurring runs if you need ongoing coverage beyond 1,000 posts.

How fast is it? Posts-only mode scrapes 100 posts in roughly 1 second. Adding comments increases run time proportionally. Multiple subreddits run in parallel across sessions, so scraping 10 subreddits takes about the same time as scraping 2.

What happens if a subreddit doesn't exist? Non-existent and private subreddits are included in the output with "_status": "not_found". You are not charged for failed subreddits.

What subreddit formats are accepted? Plain name (AskReddit), prefixed (r/AskReddit), full URL (https://reddit.com/r/AskReddit), old/new/mobile URLs, and any combination of these in the same run. The actor normalizes all inputs before processing.

When should I use time filters? Time filters apply only to top and controversial sort orders. For example, sort: "top" with timeFilter: "week" returns the highest-scoring posts from the past 7 days. The filters are ignored for hot, new, and rising.

How do comments work? When includeComments is enabled, the actor fetches the top comments for each scraped post. Comments are sorted by confidence (Reddit's "best" algorithm). You can set maxCommentsPerPost from 1 to 1,000. Comments appear as separate rows in the output, linked to their parent post by _post_id.

Are the first 100 comments really free? Yes. For each post, the first 100 comments cost nothing. Billing only starts at the 101st comment on that specific post. If you keep maxCommentsPerPost at 100 or below, you pay zero for comments.

What's the difference between this and the Post & Comments Scraper? This actor starts from a subreddit feed and gives you posts with optional comments. The Post & Comments Scraper starts from specific post URLs and specializes in deep comment extraction: full tree expansion, six sort orders, Q&A filtering, unlimited comments. Use this actor when you want to scrape a subreddit's feed. Use the other when you already have post URLs and need complete comment trees.

Can I schedule recurring runs? Yes. Set up a schedule in the Apify Console to run the actor daily, hourly, or at any interval. Combine with sort: "new" to build a continuous feed archive.

Can I use this with the Apify API or integrations? Yes. Call the actor via the Apify API, schedule recurring runs, or connect to integrations like webhooks, Zapier, Make, or Google Sheets. The output is standard JSON that works with any downstream pipeline.

What output formats are available? The Apify Console lets you download results as JSON, CSV, Excel, XML, or RSS. You can also access the dataset directly via the Apify API in any of these formats. CSV and Excel flatten nested fields automatically, so media metadata and award arrays become readable columns.

How do I scrape NSFW subreddits? NSFW subreddits work the same as any other subreddit. Posts from NSFW communities include "over_18": true in the output, so you can filter them in your downstream pipeline if needed.

Does it work with private or quarantined subreddits? Private subreddits return a "_status": "not_found" row since their content is not publicly accessible. Quarantined subreddits may return partial or no results depending on their access restrictions. You are not charged for subreddits that fail to load.

Support

• Bugs: Issues tab
• Features: Email or issues
• Email: max@mapa.slmail.me

Legal Compliance

Extracts publicly available data. Users must comply with Reddit terms and data protection regulations (GDPR, CCPA).

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Bulk subreddit feed scraping. 108 fields per post, 5 sort orders, optional comments, from one subreddit or hundreds.