Reddit Subreddit Posts Scraper
Pricing
from $3.70 / 1,000 records
Reddit Subreddit Posts Scraper
Pricing
from $3.70 / 1,000 records
Rating
0.0
(0)
Developer
Khrystyna Skotte
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 hours ago
Last modified
Categories
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Reddit Scraper — subreddit posts & comments, no API key
Scrape any subreddit's hot, new, top or rising feed and get each post with its score, upvote
ratio, comment count, author, flair, post type, domain, text preview, link and timestamp. Turn on
fetchComments to add each post's comments with author, score, depth and text.
No Reddit API key, no login, no OAuth quota. It reads the same HTML fragments Reddit's own site
loads, from residential IPs, so the "blocked" wall that stops the .json endpoints does not apply.
Input
| Field | Default | Notes |
|---|---|---|
subreddits | ["python"] | Names or URLs |
sort | hot | hot, new, top, rising |
topTime | week | For top: hour, day, week, month, year, all |
maxItems | 10 | Posts per subreddit, 25 per page |
fetchComments | false | One extra request per post |
maxCommentsPerPost | 20 |
Output
{ "type": "post", "id": "t3_1w928wf", "subreddit": "Python", "title": "Astral's endorsements for Python's first Packaging Council", "url": "https://www.reddit.com/r/Python/comments/1w928wf/astrals_endorsements_for_pythons_first_packaging/", "author": "poppy_92", "authorId": "t2_a3av6", "score": 89, "upvoteRatio": 0.9, "commentCount": 15, "awardCount": 0, "createdAt": "2026-09-06T17:24:04.807000+0000", "postType": "multi_media", "domain": "self.Python", "contentUrl": "https://www.reddit.com/r/Python/comments/1w928wf/…", "flair": "News", "isStickied": false, "isNsfw": false, "text": "Astral announced…", "thumbnailUrl": null }{ "type": "comment", "id": "t1_p875vji", "postId": "t3_1w928wf", "subreddit": "Python", "author": "wildlyaquaticsenator", "score": 71, "depth": 0, "createdAt": "2026-09-06T17:31:12.318000+0000", "url": "https://www.reddit.com/r/Python/comments/1w928wf/comment/p875vji/", "text": "…" }
Use cases
Community and sentiment monitoring, brand and product mentions, market research, trend detection, content sourcing, and datasets for NLP.
Notes
- Private, quarantined or misspelled subreddits return a warning, not a failure.
- Comment text is the rendered text of each comment; nested replies carry
depthandparentId.