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Reddit Scraper API

Turn any subreddit, post, comment thread, or user into structured JSON: scores and upvote ratios, full nested comment trees, awards, and post metadata.

Subreddits · postsComment treesUser profilesPublic data only
▸ Overview

The Reddit Scraper API resolves subreddit feeds, individual posts, full nested comment trees, and user profiles. Hand us a subreddit, post URL, or username and we return scores, upvote ratios, flair, awards, and the complete comment hierarchy.

Built for social-listening, research, and trend-detection platforms that need deep Reddit coverage with reliable delivery. We extract public data only and reconstruct nested comment trees so you don't have to paginate them yourself.

Reddit Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.reddit.com/r/MachineLearning/",
  "type": "subreddit",
  "sort": "top"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "subreddit": "MachineLearning",
    "subscribers": 3120000,
    "posts": [
      { "id": "…", "title": "…", "score": 4821, "upvote_ratio": 0.96, "comments": 312 }
    ]
  }
}
"type": "subreddit", "sort": "top"
▸ What you can extract

Every public field, structured for you.

Reddit data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Subreddit details

  • Name, title, description, subscribers
  • Active users, created date, rules
  • Sort feeds: hot / new / top / rising

Post details

  • Title, body, link, media, flair
  • Score, upvote ratio, comment count
  • Author, subreddit, timestamp, awards

Comment trees

  • Full nested comment hierarchy
  • Per-comment score and author
  • Edited / awarded / OP flags

User profiles

  • Username, karma (post + comment)
  • Account age, trophies
  • Recent posts and comments
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Social listening and community sentiment

[ 02 ]

Trend and meme-stock signal detection

[ 03 ]

Product and brand feedback mining

[ 04 ]

Research datasets and LLM corpora

▸ FAQ

Reddit scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

REDDIT DATA · ON TAP

Start pulling Reddit data this week.

Tell us the Reddit surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies