Reddit Discussions, Posts, and Sentiment Scraper
Pricing
$0.95 / 1,000 results
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Reddit Discussions, Posts, and Sentiment Scraper
Scrape hot, top, new, and rising discussions from any subreddit or global search. Includes positive and negative sentiment scoring without proxy requirements.
Pricing
$0.95 / 1,000 results
Rating
0.0
(0)
Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
16 hours ago
Last modified
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Reddit Posts and Subreddit Scraper
Scrape posts, discussions, upvotes, author flairs, and text sentiment across subreddits or global keyword searches without requiring an API key.
Features
- Scrapes by subreddit feed (hot, top, new, rising) or global keyword search.
- Extracts post titles, self-text content, upvote counts, and comment totals.
- Calculates automated sentiment scores and classifications for post text.
- Collects author usernames, flairs, and direct post URLs.
- Identifies external link submissions, media links, and self posts.
- Runs without Reddit API keys, rate limits, or residential proxies.
Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
subreddits | Array | ["technology", "artificial", "SaaS"] | List of target subreddits without r/. |
searchQuery | String | "" | Search keyword (e.g. Claude 3.5 Sonnet or remote work). |
sort | String | "hot" | hot, new, top, or rising. |
maxPosts | Integer | 50 | Maximum number of posts to collect. |
includeContent | Boolean | true | Extract clean text excerpts and links. |
Output format
json { "id": "t3_1o8g3k", "title": "OpenAI announces new real-time reasoning architecture", "subreddit": "artificial", "author": "tech_observer", "url": "https://openai.com/index/announcement", "commentsUrl": "https://www.reddit.com/r/artificial/comments/1o8g3k/...", "datePosted": "2026-10-22T13:30:00Z", "sentimentScore": 0.42, "sentimentLabel": "POSITIVE", "contentExcerpt": "Today OpenAI showcased a new breakthrough in low-latency reasoning...", "scrapedAt": "2026-10-22T13:35:12.120Z" }Use cases
- Brand monitoring: Track customer sentiment and discussions around specific products.
- Market research: Analyze common complaints and feature requests in target communities.
- Content ideation: Identify frequently asked questions and high-engagement topics.
- Competitive intelligence: Follow customer feedback on competitor products.
Pricing and efficiency
- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.
