Extract full Reddit comment trees and discussions from any post URL. Scrapes deep nested hierarchies, author sentiment, upvotes, and timestamps with zero API keys. Clean tabular CSV/JSON export.
{
"itemType": "comment",
"id": "t1_m3k0x1y",
"postId": "t3_1x0b0f5",
"parentId": "t3_1x0b0f5",
"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,
"createdAt": "2026-10-11T12:30:15Z",
"permalink": "https://www.reddit.com/r/technology/comments/1x0b0f5/comment/m3k0x1y/",
"scrapedAt": "2026-10-11T16:01:26Z"
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Reddit requires commercial applications, legal reviews, and enterprise agreements to access comment streams. UnitBytes lets you pull full threads immediately.
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.
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.
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.
Run programmatically in 3 lines of Python or paste our ready-made workflow JSON directly onto your n8n canvas.
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/"
}
]
}
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("parentId"))Automate scheduled runs, normalize output fields, and pipe records directly into Google Sheets, Airtable, Slack, or OpenAI with zero code.
Tip: Click Copy for n8n, open your n8n canvas, and press Ctrl+V.
No. You can run this actor immediately with zero API keys, developer tokens, or Reddit accounts.
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.
Yes. Every record has a parentId field. If parentId equals postId, it is a top-level comment. If parentId starts with t1_, it points directly to the parent comment.
Extraction starts at $0.50 to $1.00 per 1,000 comments under Apify Pay-Per-Event pricing, with zero idle compute costs.
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Don't want to manage proxies, Apify actors, or JSON schemas yourself? Tell us what data you need and we will deliver clean Excel / CSV / Google Sheets datasets, set up automated S3/BigQuery feeds, or build a custom scraper for your team.
Send us your search keywords, categories, or URLs. We run the extraction and email you a clean, ready-to-use Excel/CSV file within 24 hours.
Hands-free daily, weekly, or real-time monitoring pushed directly to Google Sheets, Amazon S3, BigQuery, Snowflake, or Webhook.
Need custom fields added or a brand-new website reverse-engineered? We build, host, and maintain dedicated anti-bot engines.
Our engineering team has received your specifications and will reply to your email within 12 hours. You can also send or follow up directly using any option below: