Reddit Scraper - Pay Per Result

Pay only for the data you get! Proxies included, no compute costs.

✨ Why use this scraper?

• 💰 Pay per result: No compute costs, only pay for the data you actually get
• 🌐 Proxies included: No need to configure or pay for proxies separately
• 🔓 No login required: Scrape all public Reddit data without authentication
• 📦 4 data types: Posts, comments, communities, and users with full metadata
• 🔍 Search & URL modes: Scrape specific URLs or search Reddit by keywords

🎯 Use cases

Industry	Application
Market research	Monitor brand mentions and sentiment across subreddits
Content analysis	Analyze trending topics and community discussions
Academic research	Study online communities, opinions, and user behavior
Competitive intelligence	Track competitor discussions and product feedback
Trend monitoring	Identify emerging trends before they hit mainstream

📥 Input parameters

URL scraping

Parameter	Type	Description
startUrls	array	Reddit URL(s) to scrape (subreddits, posts, users, search pages)

Supported URL types:

• Subreddits: https://www.reddit.com/r/programming/
• Subreddit sort: https://www.reddit.com/r/programming/hot
• Posts: https://www.reddit.com/r/learnprogramming/comments/abc123/...
• Users: https://www.reddit.com/user/username
• User comments: https://www.reddit.com/user/username/comments/
• Search: https://www.reddit.com/search/?q=keyword
• Popular: https://www.reddit.com/r/popular/
• Leaderboards: https://www.reddit.com/subreddits/leaderboard/crypto/

Search

Parameter	Type	Description
searches	array	Keywords to search on Reddit
searchCommunityName	string	Restrict search to a specific subreddit (e.g. programming)
searchTypes	array	Types of results: posts, communities, users (default: posts)

Sorting & filtering

Parameter	Type	Default	Description
sort	string	new	Sort by: relevance, hot, top, new, rising, comments
time	string	all	Time filter: all, hour, day, week, month, year
includeNSFW	boolean	true	Include adult/NSFW content
postDateLimit	string	-	Only posts after this date (YYYY-MM-DD)

Options & limits

Parameter	Type	Default	Description
includeComments	boolean	true	Also scrape comments when visiting posts
maxItems	integer	50	Maximum total items to return

📊 Output data

Post example

{
  "id": "t3_abc123",
  "parsedId": "abc123",
  "url": "https://www.reddit.com/r/programming/comments/abc123/example_post/",
  "username": "dev_user",
  "userId": "t2_abc123",
  "title": "Example Post Title",
  "communityName": "r/programming",
  "parsedCommunityName": "programming",
  "body": "Post body text...",
  "html": null,
  "numberOfComments": 42,
  "upVotes": 256,
  "upVoteRatio": 0.95,
  "isVideo": false,
  "isAd": false,
  "over18": false,
  "flair": "Discussion",
  "link": "https://example.com/article",
  "thumbnailUrl": "https://b.thumbs.redditmedia.com/...",
  "videoUrl": "",
  "imageUrls": ["https://i.redd.it/abc123.jpg"],
  "createdAt": "2024-06-01T12:00:00Z",
  "scrapedAt": "2024-06-02T10:30:00Z",
  "dataType": "post"
}

Comment example

{
  "id": "t1_xyz789",
  "parsedId": "xyz789",
  "url": "https://www.reddit.com/r/programming/comments/abc123/example_post/xyz789/",
  "parentId": "t3_abc123",
  "postId": "abc123",
  "username": "commenter",
  "userId": "t2_xyz789",
  "category": "programming",
  "communityName": "r/programming",
  "body": "Great post!",
  "html": "<div class=\"md\"><p>Great post!</p></div>",
  "createdAt": "2024-06-01T13:00:00Z",
  "scrapedAt": "2024-06-02T10:30:00Z",
  "upVotes": 15,
  "numberOfreplies": 3,
  "dataType": "comment"
}

Community example

{
  "id": "2fwo",
  "name": "t5_2fwo",
  "title": "Programming",
  "url": "https://www.reddit.com/r/programming/",
  "description": "Computer programming",
  "over18": false,
  "numberOfMembers": 5800000,
  "createdAt": "2006-01-25T00:00:00Z",
  "scrapedAt": "2024-06-02T10:30:00Z",
  "dataType": "community"
}

User example

{
  "id": "abc123",
  "url": "https://www.reddit.com/user/dev_user/",
  "username": "dev_user",
  "description": "Software engineer and open source enthusiast",
  "postKarma": 15000,
  "commentKarma": 42000,
  "over18": false,
  "createdAt": "2020-01-15T00:00:00Z",
  "scrapedAt": "2024-06-02T10:30:00Z",
  "dataType": "user"
}

🗂️ Data fields

Category	Fields
Identity	id, parsedId, url, username, userId
Content	title, body, html, flair
Community	communityName, parsedCommunityName, category
Engagement	upVotes, upVoteRatio, numberOfComments, numberOfreplies
Media	imageUrls, videoUrl, thumbnailUrl, link
Flags	isVideo, isAd, over18
Meta	createdAt, scrapedAt, dataType

🚀 Examples

Scrape a subreddit

{
  "startUrls": [{"url": "https://www.reddit.com/r/programming/"}],
  "maxItems": 50,
  "sort": "hot"
}

Search for a keyword

{
  "searches": ["machine learning"],
  "searchTypes": ["posts", "communities"],
  "sort": "top",
  "time": "month",
  "maxItems": 100
}

Scrape a post with comments

{
  "startUrls": [{"url": "https://www.reddit.com/r/learnprogramming/comments/lp1hi4/is_webscraping_a_good_skill_to_learn/"}],
  "includeComments": true,
  "maxItems": 100
}

Search within a community

{
  "searches": ["python"],
  "searchCommunityName": "programming",
  "sort": "new",
  "maxItems": 50
}

Get recent posts only

{
  "startUrls": [{"url": "https://www.reddit.com/r/technology/"}],
  "postDateLimit": "2026-03-01",
  "includeComments": false,
  "maxItems": 200
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("silentflow/reddit-scraper-ppr").call(run_input={
    "startUrls": [{"url": "https://www.reddit.com/r/programming/"}],
    "maxItems": 50,
    "sort": "hot"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item["dataType"] == "post":
        print(f"[{item['upVotes']}] {item['title']}")
    elif item["dataType"] == "comment":
        print(f"  > {item['body'][:80]}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/reddit-scraper-ppr').call({
    searches: ['web scraping'],
    searchTypes: ['posts'],
    sort: 'top',
    time: 'week',
    maxItems: 100
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    if (item.dataType === 'post') {
        console.log(`[${item.upVotes}] ${item.title}`);
    }
});

📈 Performance & limits

Metric	Value
Items per request	up to 100
Average speed	~50 items/second
Max items per run	10,000
Supported content	Posts, Comments, Communities, Users

💡 Tips for best results

1. Use maxItems wisely: Only request what you need, you pay per result
2. Target specific subreddits: Focused scraping gives cleaner, more relevant data
3. Disable comments when not needed: Set includeComments: false to reduce result count
4. Test first: Try with maxItems: 10 to verify your setup before large scrapes
5. Combine search types: Use searchTypes: ["posts", "communities"] to find both discussions and relevant subreddits

❓ FAQ

Q: Can I scrape private subreddits? A: No, this scraper only accesses publicly available data.

Q: What's the difference from the standard version? A: The standard version charges based on Apify platform compute usage. Pay Per Result charges per item instead, with proxies included.

Q: Can I set a budget limit? A: Yes, use maxItems to control exactly how many results (and your maximum cost) per run.

Q: What if the run finds no results? A: You pay nothing. No results means no charge.

Q: What happens if Reddit is temporarily unavailable? A: The scraper automatically retries. If all attempts fail, try again later.

📬 Support

We're building this scraper for you, your feedback makes it better for everyone!

• 💡 Need a feature? Tell us what's missing and we'll prioritize it
• ⚙️ Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify