Reddit API Alternative: Scrape Subreddits & Comments in 2026

When Reddit changed its API pricing in 2023, it took Apollo and most of the third-party app ecosystem down with it. The headline number, around $0.24 per 1,000 requests, doesn't sound like much until you're an AI team pulling millions of comments, or a solo dev whose side project suddenly has a four-figure monthly bill.

But Reddit is still where the internet says what it actually thinks. Product reviews ("is X worth it reddit" is half my own searches), stock sentiment, niche troubleshooting, early trends. If you need that data and the official pricing doesn't fit, here are your honest options and a working alternative.

Comparing approaches first? See the Reddit API alternatives rundown.

Your real options

Official Reddit API. Correct if you're building something Reddit blesses and the per-request cost fits your volume. It's OAuth-gated and metered, so high-volume reads get expensive fast.

Roll your own with PRAW or raw requests. PRAW is great but it rides the same official API (same auth, same limits). Scraping old.reddit.com yourself with BeautifulSoup works until you hit 429s, which is fast, then you're managing proxies and breakage. Worth it only at real scale with someone to maintain it.

A third-party data API like SociaVault: an API key, GET requests, no OAuth, JSON back. Trade-off is the usual one, you're trusting a vendor instead of running your own pipeline. That's what the rest of this covers.

Here's how the three shake out on the things that actually decide the call:

Factor	Official API	Roll your own (PRAW/scraping)	Third-party API
Auth	OAuth app + tokens	OAuth (PRAW) or none (scraping)	Single x-api-key header
Pricing model	Metered per request (~$0.24 / 1k)	"Free" + your proxy/server/maintenance time	Credit per request (1 credit each)
Cost at scale	Climbs fast for high-volume reads	Hidden: proxies, retries, breakage	Predictable; volume discounts
Maintenance	Reddit-controlled changes	You own every 429 and layout change	Vendor absorbs breakage
Best for	Reddit-blessed apps, moderate volume	Teams with scale + someone to babysit it	Fast reads, monitoring, LLM pipelines

None of these is "best" in the abstract. If you're low-volume and Reddit-approved, the official API is fine. If you're an AI team pulling comments by the million, the per-request meter is the thing that hurts, and that's where either your own pipeline or a credit-based API wins.

Pulling a subreddit

Monitor r/SaaS for new posts. The real endpoint and params:

import requests

API_KEY = "sk_live_YOUR_KEY"
res = requests.get(
    "https://api.sociavault.com/v1/scrape/reddit/subreddit",
    params={"subreddit": "SaaS", "sort": "new", "timeframe": "week"},
    headers={"x-api-key": API_KEY},
)
data = res.json()["data"]

sort takes hot, new, top, or rising; timeframe (day/week/month/year/all) applies when you sort by top. Page through results with the after cursor rather than asking for a giant batch at once.

A useful build on top of this: a keyword alert. Poll a subreddit on new, and when a title or body matches a term you care about, fire a Slack webhook.

Comments are the goldmine

The value isn't the post, it's the thread under it, where people say why. Comments are fetched by post URL (not an ID):

res = requests.get(
    "https://api.sociavault.com/v1/scrape/reddit/post/comments",
    params={"url": "https://www.reddit.com/r/SaaS/comments/abc123/title/"},
    headers={"x-api-key": API_KEY},
)
comments = res.json()["data"]

The response preserves the nested reply structure, so you can walk the tree. The obvious use case: dump every comment from a "Competitor vs You" thread into an LLM and have it summarize the real pros and cons people raise. Add trim=true if you want a lighter payload.

Search across all of Reddit

When you don't know which subreddit, search globally by keyword:

res = requests.get(
    "https://api.sociavault.com/v1/scrape/reddit/search",
    params={"query": "Notion alternative", "sort": "relevance", "timeframe": "month"},
    headers={"x-api-key": API_KEY},
)
posts = res.json()["data"]

This is the backbone of social listening: find people actively asking for an alternative to a competitor, then show up helpfully (manually, not with spam). sort here also takes relevance, hot, top, new, comments.

A few honest tips

• Cache. Reddit threads don't change by the second. Re-pulling the same post every minute just burns credits.
• Page, don't gulp. Use after to move through results instead of requesting everything at once.
• Filter by recency. Sorting new and only grabbing fresh content keeps costs sane for monitoring jobs.

One thing we won't pretend: this gives you public Reddit data, not private subreddits, removed content, or anything behind a login. If it's visible logged-out, you can get it.

Working example: a keyword alert to Slack

Earlier I mentioned polling a subreddit and pinging Slack on a match. Here's the whole thing, small enough to drop into a cron job. It pulls the newest posts from a subreddit, checks each title and body against your terms, and posts hits to a Slack incoming webhook:

import requests

API_KEY = "sk_live_YOUR_KEY"
SLACK_WEBHOOK = "https://hooks.slack.com/services/XXX/YYY/ZZZ"
TERMS = ["alternative to", "any recommendations", "is it worth"]

def check_subreddit(subreddit):
    res = requests.get(
        "https://api.sociavault.com/v1/scrape/reddit/subreddit",
        params={"subreddit": subreddit, "sort": "new", "trim": "true"},
        headers={"x-api-key": API_KEY},
    )
    posts = res.json().get("data", {}).get("posts", [])

    for post in posts:
        title = (post.get("title") or "").lower()
        body = (post.get("selftext") or "").lower()
        if any(term in title or term in body for term in TERMS):
            requests.post(SLACK_WEBHOOK, json={
                "text": f"New match in r/{subreddit}: {post.get('title')}\n{post.get('url')}"
            })

check_subreddit("SaaS")

Read response fields defensively: log one raw response first to confirm the exact keys (posts, title, selftext, url) for the subreddit you're hitting, then trust them. Run it every 15–30 minutes rather than every minute; Reddit threads don't move fast enough to justify the extra credits.

Frequently Asked Questions

Is the Reddit API still free?

There's a free tier, but it's rate-limited and OAuth-gated, and it was tightened in the 2023 pricing change. Free is fine for hobby-scale reads. Once you're pulling data at volume, you hit the metered paid rate, which is the whole reason people look for an alternative.

How much does the Reddit API cost in 2026?

The headline rate that reset the ecosystem was about $0.24 per 1,000 API calls. That's trivial for a small app and painful for anyone pulling millions of comments for AI training or large-scale social listening. Always check Reddit's current developer terms, pricing has changed before and can again.

Can I scrape Reddit without the official API?

Yes. You can scrape old.reddit.com yourself (expect 429 rate limits and proxy management), or use a third-party data API that returns Reddit posts and comments as JSON from a single key. Both avoid OAuth; the trade-off is running your own pipeline versus trusting a vendor.

How do I get all the comments from a Reddit thread?

Call the comments endpoint with the post's URL (not an ID). The response keeps the nested reply structure, so you can walk the tree to any depth. It's the most useful Reddit data for research, because the comments are where people explain the "why" behind an opinion.

Is it legal to scrape Reddit?

Reading publicly visible Reddit data is generally treated the same as viewing it logged-out. The nuance is on usage: respect Reddit's terms, don't collect private or removed content, and be careful about republishing personal data. This isn't legal advice; if you're operating at scale, check with a lawyer.

What happened to Apollo and third-party Reddit apps?

The 2023 API pricing made high-volume access expensive enough that popular third-party apps like Apollo shut down. That's what pushed developers toward either the official paid API, self-hosted scraping, or third-party data APIs for read access.

Get started

Sign up for 50 free credits (no card), copy your sk_live_... key, and run the subreddit snippet above. Full reference in the Reddit API docs.

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