Reddit Scraper — Posts, Comments & Sentiment Analysis
Pricing
from $2.00 / 1,000 result scrapeds
Reddit Scraper — Posts, Comments & Sentiment Analysis
Scrape Reddit posts, comments, user profiles, and search results. Built-in AFINN-165 sentiment analysis, nested comment threads, universal URL input. HTTP-only, no browser needed. 256MB memory. $2 per 1,000 results.
Pricing
from $2.00 / 1,000 result scrapeds
Rating
0.0
(0)
Developer
dltik
Actor stats
4
Bookmarked
3
Total users
2
Monthly active users
3 days ago
Last modified
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Reddit Scraper — Posts, Comments, Subreddits + AFINN-165 Sentiment Analysis
Scrape Reddit posts, comments, user profiles, subreddits, and search results with built-in AFINN-165 sentiment analysis (negation-aware). Nested comment threads with depth tracking, universal URL input. HTTP-only, no browser, no auth. $0.002 per result ($2 per 1,000) — 50% cheaper than the market leader.
⭐ Bookmark this Reddit Scraper — Apify ranks actors by bookmarks, so it directly helps the visibility of this scraper on the Apify Store.
What is the Reddit Scraper?
The Reddit Scraper is an Apify actor that pulls structured data from Reddit at scale: posts, comments (with full nested thread tree), user profiles, subreddit listings, search queries. Every post and comment is sentiment-scored on the fly using the AFINN-165 lexicon with negation handling — no external API call, no extra cost. Universal URL input means you can drop in any Reddit URL (post, subreddit, user, search) and the actor will figure out the right scraping path.
The cleanest, cheapest way to scrape Reddit at production scale.
Use cases
- Brand monitoring — track every mention of your brand across Reddit; alert on negative sentiment spikes.
- Market research — analyze 10K comments in
r/IsItScamOrLegitto understand fraud trends. - Customer feedback mining — pull product-mention comments from
r/buildapcsales,r/headphones, etc. - AI training data — labeled Reddit datasets for sentiment, classification, RLHF fine-tuning.
- Content marketing research — find which posts in your niche ranked top for inspiration.
- Competitive intel — track competitor mentions and the sentiment around them.
- Subreddit demographics — count active users, posts/day, comment depth distribution.
Input
{"urls": ["https://www.reddit.com/r/python/comments/abc123/example_post/","https://www.reddit.com/user/example_user/","https://www.reddit.com/r/MachineLearning/"],"maxResults": 500,"includeComments": true}
Output
{"id": "t3_abc123","type": "post","subreddit": "python","title": "Example post title","author": "example_user","score": 1245,"num_comments": 87,"url": "https://www.reddit.com/r/python/comments/abc123/...","selftext": "Full post body...","sentiment": "positive","sentiment_score": 0.42,"created_utc": "2026-04-25T14:30:00Z"}
Pricing
PAY_PER_EVENT — $0.002 per result (= $2 per 1,000). 50% cheaper than competing Apify Reddit scrapers. Sentiment analysis included free.
FAQ — Reddit API alternatives
Reddit official API alternative? The Reddit API now requires OAuth + paid tier for high-volume scraping. This actor scrapes the public HTML/JSON endpoints — no auth, no quota.
Does it handle deleted/removed content? Yes — items show as [deleted] or [removed] instead of crashing.
Comment depth tracking? Yes — every comment has a depth field reflecting its position in the nested thread (root = 0).
Why AFINN-165 instead of a deep-learning model? AFINN runs in microseconds per comment with no GPU; cost stays at $0.002. For deep semantic sentiment, run downstream on the dataset.
⭐ Found this useful? Bookmark this Reddit Scraper — it's the strongest signal for Apify Store ranking.
Related actors
- Substack Scraper — Sentiment — same sentiment engine for Substack
- Trustpilot Scraper — Reviews + Sentiment — same sentiment engine for Trustpilot
- HackerNews MCP Server — HN search for AI agents
License: MIT · Author: dltik