r/MachineLearning LLM Posts, Pulled by Hot Sort
LLM threads from r/MachineLearning using Reddit's hot sort: title, post body, author, date, link. Upvote numbers are not in the feed this reads.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Search query | LLM | Keywords to search Reddit for. |
Restrict to subreddit (optional) | MachineLearning | Search only within this subreddit (e.g. "MechanicalKeyboards" or "r/MechanicalKeyboards"). |
Sort by | hot | How to order the search results. |
Max posts | 40 | The keyless feed returns up to 100 matching posts per search, ask for more and 100 is what arrives. |
Pricing
$0.000891 per post = $0.891 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Post returned | Charged per Reddit post returned in the dataset (empty searches are not charged). | $0.000891 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-19, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
authorcreatedAtcreatedUtcdetailsdomainflairidisSelfnumCommentsover18permalinkqueryscoreselftextsubreddittitleurlExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Reddit Posts Search Scraper
- Try
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Built on Reddit Posts Search Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
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