Extract Reddit Data
Threads, comments, and community signals from Reddit, in clean records.
Tell AuraCrawl what you need from Reddit in plain language — "every thread in these 15 subreddits mentioning our brand," "the top comments on any post crossing 500 upvotes in r/IndianGaming." Reddit's value is in the comment trees, and comment trees are where extraction jobs quietly break: nesting, collapsed threads, and "load more" chains. We deliver them flattened, ordered, and complete.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Reddit in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"post_id": "1vr4df4",
"subreddit": "r/iPhone17Pro",
"url": "https://www.reddit.com/r/iPhone17Pro/comments/1vr4df4/iphone_17_pro_10_month_review/",
"title": "iPhone 17 Pro: 10 Month review",
"author": "Traizeryt",
"flair": "Statements",
"score": 223,
"comment_count": 73,
"gallery_images": 11,
"posted_relative": "3d",
"subreddit_weekly_visitors": 213000,
"subreddit_weekly_contributions": 4300,
"subreddit_created": "2023-12-30",
"top_comments": [
{
"author": "Cobeyswiss",
"excerpt": "Just upgraded to the 17 pro from the 13 as well and it’s a world of difference…",
"direct_replies": 1
},
{
"author": "Terminapple",
"excerpt": "You felt excited by the $300 Android phone because it’s different, not because it’s better…",
"direct_replies": 4
}
]
}What you can extract
- Thread titles, bodies, flairs, and scores
- Full comment trees, flattened with parent references
- Subreddit metadata and subscriber counts
- Post and comment timestamps for time-series work
- Keyword or brand-mention filtering at collection time
- Author-level public activity where relevant
PIPELINE Aura Vision resolves deeply nested, partially collapsed comment markup into complete trees; Aura Build flattens them into records your models can consume directly.
Request Reddit data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.