Reddit Comments Scraper & API ($0.50/1k)
Fast & Cheap ($0.50/1k): Monitor & scrape Reddit comments, full nested comment trees, replies & author karma by URL. Built for sentiment analysis, thread export & AI/LLM datasets.
{
"itemType": "comment",
"id": "m3k0x1y",
"postId": "1x0b0f5",
"parentId": null,
"author": "tech_enthusiast",
"body": "Streaming platforms need stricter auditing mechanisms. 10k bots running 24/7 is an insane amount of synthetic streams.",
"score": 342,
"depth": 0,
"isSubmitter": false,
"createdAt": "2026-10-11T12:30:15.000Z",
"permalink": "https://www.reddit.com/r/technology/comments/1x0b0f5/comment/m3k0x1y/",
"scrapedAt": "2026-10-11T16:01:26.000Z"
}
Features
What the Reddit Comments Scraper & API ($0.50/1k) Extracts
Skip Weeks of Waiting & Strict Approval
Reddit requires commercial applications, legal reviews, and enterprise agreements to access comment streams. UnitBytes lets you pull full threads immediately.
No Expensive Monthly Contracts
The official API requires enterprise commitments starting at $1,000+/mo. UnitBytes charges from $0.50 per 1,000 comments on a pure pay-per-result basis.
Full Depth & Nested Hierarchy
While standard API endpoints limit comment depth and require pagination loops, UnitBytes harvests the complete conversational hierarchy (depth 0, 1, 2, 3+) in a single run.
Zero Formatting Headaches
Reddit returns deeply nested JSON trees that complicate spreadsheet analysis. UnitBytes flattens discussions into clean, relational rows that open directly in Excel or Google Sheets.
Integration
Run It From Python or n8n
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"startUrls": [
{
"url": "https://www.reddit.com/r/technology/comments/1x0b0f5/fraudster_jailed_for_using_10k_bots_and_ai_songs/"
}
],
"maxCommentsPerPost": 100
}
run = client.actor("unitbytes/reddit-comments-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("itemType"), item.get("postId"), item.get("author"))n8n Workflow Template
Schedule this scraper and send results to Google Sheets, Airtable, or Slack.
FAQ
Frequently Asked Questions
Q: Do I need a Reddit account or API key?
No. You can run this actor immediately with zero API keys, developer tokens, or Reddit accounts.
Q: How do I open the results in Excel or Google Sheets?
Once your run finishes, click Export on the Apify dataset tab and choose CSV or Excel. The data is pre-flattened so every column loads cleanly with zero formatting errors.
Q: Can I reconstruct who replied to whom?
Yes. Every comment record has depth, id, parentId, and postId. Top-level comments have depth: 0 and parentId: null. Nested replies (depth: 1, 2, 3...) set parentId directly to the id of the comment they are replying to.
Q: How many comments can I extract from a post?
You can extract anywhere from 1 up to 5,000 comments and nested replies per post by adjusting maxCommentsPerPost.
Reddit API Pricing in 2026 ($0.24/1K Calls) vs. $0.0005 Pay-Per-Result Alternatives
Step-by-step guide with pricing and Python examples.
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Prefer Not to Run It Yourself?
Tell us what you need from Reddit Comments Scraper & API ($0.50/1k) and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.