Reddit Comment Scraper — Post Comments & Subreddit Monitoring
Pricing
$4.50 / 1,000 comment produceds
Reddit Comment Scraper — Post Comments & Subreddit Monitoring
Extract comments from specific Reddit posts or from the top posts of any subreddit. Supports all Reddit comment sort modes.
Pricing
$4.50 / 1,000 comment produceds
Rating
0.0
(0)
Developer
Automly
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
4 days ago
Last modified
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Extract the comments of any public Reddit post, or of the posts a subreddit is showing right now, as structured JSON with the full reply structure: parent, depth, score, author, text and HTML. No Reddit account or API key needed.
What it does
- Post mode: give post URLs (or bare post IDs) and get up to
maxCommentscomments from each post, including the replies hidden behind "load more comments" on large threads. - Subreddit mode: give subreddits and the scraper picks their first
maxPostsposts (hot, new, top or rising) and collects comments from each. Used only when no post URL is given. - Sort comments the way Reddit does: best, top, new, controversial, old or Q&A.
- Deleted and removed comments are left out; the replies under them are kept.
Input
| Field | Type | Description |
|---|---|---|
postUrls | array of strings | Post URLs or base-36 post IDs. |
subreddits | array of strings | Subreddits whose posts to read (ignored when post URLs are given). |
sortBy | string | Post order in subreddit mode: hot (default), new, top, rising. |
commentSort | string | confidence (best, default), top, new, controversial, old, qa. |
maxComments | integer | Comments from each post URL; in subreddit mode, the total shared between subreddits and posts (1–10000). Default 500. |
maxPosts | integer | Posts per subreddit in subreddit mode (1–100). Default 25. |
Example input
{"postUrls": ["https://www.reddit.com/r/python/comments/1abc234/some_title/"],"commentSort": "top","maxComments": 1000}
Output
One record per comment:
{"commentId": "kx9y8z7","postId": "1abc234","parentId": "kx9a1b2","author": "some_user","body": "Great write-up, thanks!","bodyHtml": "<div class=\"md\"><p>Great write-up, thanks!</p></div>","score": 42,"createdUtc": 1790000000,"edited": false,"depth": 1,"subreddit": "Python","permalink": "/r/Python/comments/1abc234/some_title/kx9y8z7/","isSubmitter": false,"stickied": false,"distinguished": null,"controversiality": 0}
Each record also carries gilded, gildings, totalAwardsReceived,
collapsed and collapsedReason. depth is 0 for a top-level comment, 1 for
a reply to it, and so on; parentId is the parent comment, or the post for a
top-level comment.
Pricing
Pay per event: you are charged for each comment saved to the dataset, and never for duplicates.
Tips
- Set
commentSort: newand run on a schedule to follow a live discussion. - Large threads are read in full: raise
maxCommentsto get every comment.