Reddit API Shutdown: 7 Ways to Get Reddit Data in 2026

Reddit just told every developer who reads its data to find another way.

RSS feeds stop on November 13, 2026. Apps that haven't registered lose API access after January 12, 2027. The public API closes in March 2027.

If you're:

• running a social listening or brand-monitoring tool,
• pulling Reddit threads into a RAG pipeline or AI agent,
• or doing research on subreddit conversations,

this is your migration window.

The short answer: for most developers, the best Reddit API alternative today is a paid read API like Redditapis (fast, cheap, complete). Arctic Shift is the best free option for historical data. If you sell a commercial product built on Reddit data, the only path without legal risk is a deal with Reddit itself.

I tested five of these options on the same task, on the same day, so you don't have to guess.

What Reddit Is Actually Shutting Down (and When)

Reddit announced the changes on September 30, 2026 (TechCrunch). The stated reason is that RSS had become a "common surface for large-scale scraping and automated abuse."

Date	What changes
Nov 13, 2026	RSS feeds stop working
Jan 12, 2027	API access removed for developers who haven't registered
March 2027	Public API access ends
Q4 2026 onward	Reddit tests a mostly logged-in experience outside the US (TechCrunch, Oct 29)

Old Reddit is also getting stricter. Access is limited to logged-in moderators and users who used it in the last six months.

Per TechCrunch, the closure hits "social listening products, those used by researchers, and AI products." AI assistants "will need commercial deals with Reddit for its data." Reddit hasn't published a price for those deals.

The free, anonymous Reddit firehose is over.

Before You Pick a Scraper: The Legal Part

This matters more than any benchmark below.

In October 2025, Reddit sued Perplexity and three data companies (SerpApi, Oxylabs and AWMProxy) for scraping its content. In July 2026, a federal judge rejected most of Perplexity's motion to dismiss (Reuters). The case is ongoing.

So three rules before you choose anything:

• "Public data" doesn't mean "allowed." Several vendors below say they only collect public, logged-out content. That describes how they collect it. It doesn't settle Reddit's terms of service.
• Commercial products carry the most risk. If Reddit data powers something you sell, talk to Reddit first.
• Personal projects and research are a different conversation. Use archives and small, polite volumes.

I'm not a lawyer, and this isn't legal advice. It's the context I'd want before writing a single line of code.

How I Tested These Reddit API Alternatives

Same task for every option, run on October 30, 2026:

1. Top 100 posts of the week from r/SaaS
2. All comments on one shared thread ("Claude just made me this Promo video for my startup"), which Reddit reported at 57 comments

For each tool I measured posts returned, comments returned, number of calls, total time, cost, and which fields came back (id, title, author, date, score, comment count, URL, body). Raw responses and the test script are saved, so every number below comes from a real run.

Reddit API Alternatives Compared (Real Test Results)

Option	Posts (of 100)	Comments (of 57)	Calls	Time	Cost of this test	Best for
Redditapis	100 (top of week)	53 (93%)	2	5.7 s	$0.003	Fast, complete reads
Arctic Shift	100 (newest, no "top")	52 (91%)	2	1.6 s	Free	Historical data, research
Bright Data	100 (top of week)	41 (72%)	2 jobs	~14 min	~$0.18	Rich datasets at scale
ScrapeCreators	100 (118 fetched)	32 (56%)	8	43.6 s	8 credits (~$0.015)	Multi-platform social data
Apify (Reddit Scraper Lite)	50 (asked for 100)	6 (11%)	2 runs	18 min 45 s	$0.31	No-code exports
Data365	Not tested	Not tested	—	—	from €300/mo	Agencies on multiple networks
Official Reddit access	—	—	—	—	No public price	Commercial products

Pricing checked on October 30, 2026.

The top-of-week results agreed almost perfectly. Redditapis and Bright Data returned the same 100 post IDs, and ScrapeCreators matched 98 of them.

The difference is in speed, comment coverage and cost.

1. Official Reddit Access — The Only Path Without Legal Risk

If you already have an approved app, register it on Reddit's Developer Platform before January 12, 2027. For commercial use, Reddit's answer is a data deal.

Pros

• Fully compliant, so no lawsuit risk
• Data comes straight from the source

Cons

• No public pricing; every deal is negotiated
• Public API access still ends in March 2027

Best for: companies whose product depends on Reddit data and who can afford a licensing conversation.

2. Redditapis — Fastest Complete Reads in My Test

Redditapis is a REST API for Reddit posts, comments, users, communities and search. It says it isn't affiliated with Reddit.

It was the clear winner on the test: 100 top posts plus 53 of 57 comments in two calls and 5.7 seconds, for $0.003. All eight fields came back. The body was empty only on link posts, which have no text.

Pros

• Pay per call: $0.0015 per read, up to 100 posts per call
• $0.50 free credit, no card
• Its comments response honestly flags that large threads may be partial

Cons

• Third-party scraping, with the legal caveat above
• Prepaid top-ups start at $10

Best for: developers who need live Reddit data in an app or agent, with predictable cost.

Here's the call I used, in plain Python:

import json, os, urllib.parse, urllib.request

TOKEN = os.environ["REDDITAPIS_TOKEN"]
BASE = "https://api.redditapis.com/api/reddit"

def get(path, **params):
    url = f"{BASE}/{path}?{urllib.parse.urlencode(params)}"
    req = urllib.request.Request(url, headers={"Authorization": f"Bearer {TOKEN}"})
    with urllib.request.urlopen(req) as r:
        return json.load(r)

posts = get("posts", subreddit="SaaS", sort="top", t="week", limit=100)["posts"]
print(len(posts), "posts")
for p in posts[:3]:
    print(p["upvotes"], p["comments"], p["title"][:60])

thread = get(f"post/{posts[0]['id']}/comments", limit=500)
print(thread["post"]["comments"], "comments reported on the post")

Output (October 30, 2026):

100 posts
2379 252 What are your views Redditers
421 199 Someone finally paid for my SaaS. Still can't believe it! 🥹
415 89 Bro, is it just me or is PUBLISHING the app 100x harder than
252 comments reported on the post

From here you can build:

• a brand-mention monitor that runs every hour,
• a weekly digest of the top threads in your niche,
• or a RAG index of the discussions your customers actually have.

3. Arctic Shift — The Best Free Option for Historical Data

Arctic Shift is a free, community-run Reddit archive with a search API and monthly dumps. No key needed.

In my test it was the fastest option (1.6 s) and returned 52 of 57 comments. But two details matter. It has no "top" sort, so 100 posts covered only about 15 hours of r/SaaS. And its README says scores and comment counts stay at 0 or 1 until roughly 36 hours after posting: only 19 of my 100 posts had a real score.

Pros

• Free, no API key
• Full history, plus bulk dumps for large jobs
• Comments by thread work well

Cons

• No uptime guarantees ("this is a free service, so be considerate")
• Scores lag about 36 hours, so it's not built for "what's hot right now"
• No license or usage terms published in its repository, so check before any commercial use

Best for: researchers and anyone analyzing Reddit history rather than live trends.

import json, urllib.request

url = ("https://arctic-shift.photon-reddit.com/api/comments/search"
       "?link_id=1xj7yoz&limit=100")
# Python's default User-Agent gets a 403; send your own.
req = urllib.request.Request(url, headers={"User-Agent": "my-reddit-research/1.0"})
with urllib.request.urlopen(req) as r:
    comments = json.load(r)["data"]
print(len(comments), "comments")

4. Bright Data — Richest Dataset, Slowest Delivery

Bright Data sells ready-made Reddit scrapers for posts, comments and profiles. You trigger a job, poll it, and download a snapshot.

It returned the same 100 top posts as Redditapis, with the most detailed schema of the test: community stats, rules, related posts and author details. Comments came back nested (20 top-level plus 21 replies, 41 in total). The posts job took about 14 minutes. My brand-new account's first request also failed with "Customer is not active," and worked a few minutes later.

Pros

• 5,000 free records per month, then $1.5 per 1,000 records
• The richest fields per post
• Built for large, scheduled collection

Cons

• Async jobs: minutes, not seconds
• Missed 16 of 57 comments on the test thread
• Third-party scraping, with the legal caveat above

Best for: data teams collecting large Reddit datasets on a schedule.

5. ScrapeCreators — One API for Many Social Platforms

ScrapeCreators offers an "unofficial Reddit API" alongside endpoints for other social networks.

It returned the right top-of-week posts, but in pages of about 23, so 100 posts took five calls. Comments needed cursor paging and stopped at 32 of 57 after three calls. Eight calls and 43.6 seconds in total.

Pros

• 100 free credits, no card; paid packs from $47 for 25,000 credits ($1.88 per 1,000 requests)
• 1 credit per request, and credits never expire
• Same API key covers other social platforms

Cons

• No page-size parameter, so it costs more calls
• Comment coverage of 56% in my test

Best for: teams already pulling TikTok, Instagram or YouTube data who want Reddit in the same API.

6. Apify — No-Code Reddit Scraping

Apify's store has several community Reddit scrapers. I used Reddit Scraper Lite (51K users, from $3.40 per 1,000 results). Disclosure: I'm an Apify affiliate.

It was the slowest and least complete in my test. The synchronous endpoint timed out, so I ran it as an async job. The posts run took 18 minutes 20 seconds, cost $0.24 and returned 50 of the 100 posts I asked for (48 of them matched the true top-of-week list). The comments run was quick (25 seconds, $0.07) but returned only 6 of 57 comments, with maxComments set to 500.

Pros

• No code: run it from the Apify console and export CSV or JSON
• Many competing actors to choose from
• Free monthly credit on the Apify plan

Cons

• Slow, and returned only half the requested posts
• Quality varies by actor (community-maintained)

Best for: non-developers who need a one-off Reddit export.

7. Data365 — Multi-Network Social Data for Agencies

Data365 sells a social media API that includes Reddit: posts, profiles, karma and community participation. It says it serves "any public info that doesn't require login."

I didn't test it: the trial needs a request, and plans start at €300 per month (Basic, 500,000 credits).

Pros

• Profiles and post history, not just posts
• One contract for several networks

Cons

• Expensive for a single-platform use case
• No self-serve free tier

Best for: agencies and social listening teams covering several networks.

How to Choose a Reddit API Alternative

• You sell a product built on Reddit data → official access. Everything else is a legal risk.
• You need live data in an app or agent → Redditapis was fastest and most complete in my test.
• You need history, for free → Arctic Shift (and its dumps for volume).
• You collect big datasets on a schedule → Bright Data.
• You already use one API for TikTok, Instagram and YouTube → ScrapeCreators.
• You just need a CSV once → Apify.

FAQ

Is the Reddit API shutting down?

Public API access ends in March 2027. RSS stops on November 13, 2026, and unregistered apps lose access after January 12, 2027.

What is the best Reddit API alternative in 2026?

In my test, Redditapis returned complete data fastest and cheapest. Arctic Shift is the best free option for historical data. For commercial products, a deal with Reddit is the only path without legal risk.

How do I get Reddit data without the API?

Through a third-party read API (Redditapis, ScrapeCreators), a scraping platform (Bright Data, Apify), or an archive (Arctic Shift). Check Reddit's terms before using any of them commercially.

Is scraping Reddit legal?

It's contested. Reddit is suing Perplexity, SerpApi, Oxylabs and AWMProxy over scraping, and a judge let most of the Perplexity case proceed in July 2026. Get legal advice before building a commercial product on scraped Reddit data.

How much does Reddit data cost?

In my test, 100 posts plus a 57-comment thread cost $0.003 on Redditapis, about $0.18 on Bright Data and $0.31 on Apify. Arctic Shift is free. Reddit hasn't published prices for commercial access.

The End of Free Reddit Data

Reddit didn't just close an API.

It turned its conversations into a licensed asset. Pick the option that matches your risk, not just your budget.

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Are you a data or API company in this space? I update this comparison every quarter with new tests. If your tool should be included, get in touch.

If you're a software or API company looking to explain your product through high-quality educational content (not marketing fluff), feel free to connect with me on LinkedIn:
👉 https://www.linkedin.com/in/kevin-meneses-gonzalez/

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