The Reddit scraper that keeps working when Reddit changes.
UGC Scraper routes every request through automatic fallback, so when Reddit reprices the API, kills an endpoint, or blocks an IP, you still get the same clean JSON. Scrape any Reddit post, subreddit, user, or search, and get back one consistent schema. No Reddit API keys, no proxies to babysit, no 3am pages.
No Reddit credentials · Free tier · Live in 2 minutes
# one call, any Reddit post
curl -X POST https://api.ugcscraper.com/v1/scrape \
-H "Authorization: Bearer rps_live_…" \
-d '{"url":"reddit.com/r/…"}'
# → one consistent JSON schema
{
"title": "Best note-taking app?",
"author": "reddit_user",
"score": 1240,
"num_comments": 318,
"comments": [
{ "author": "dev", "score": 92 }
]
}See the shape
Try a scrape, right here
A real scrape of a live Reddit thread. Run it to see the JSON and the CSV export.
A real captured scrape. Sign up for a key to scrape any URL.
Why UGC Scraper
Built to survive Reddit's next change, not just today's
Pushshift died. The API got repriced. The .json trick got killed. Every one of those broke thousands of pipelines overnight. UGC Scraper runs automatic fallback behind one endpoint, so when one path gets blocked or deprecated, another takes over before you'd ever notice. Your integration never changes. Your data never stops.
One API, one schema
Scrape Reddit posts, comments, users, subreddits, and search
Send a URL, name, or query and get back structured data, the same shape every time.
Posts
Title, body, author, score, timestamps, media, and flair.
Comments
The full thread with authors, scores, timestamps, and reply nesting, not just the top level. A real Reddit comment scraper, not a title grabber.
Users
A user's recent submissions as post summaries.
Subreddits
Recent posts from any subreddit, sorted new or top.
Search
Find posts by keyword, across Reddit or inside a subreddit.
Posts return a full RedditPost; subreddits, users, and search return post summaries. One consistent JSON shape across all of them.
One schema, every time
One consistent JSON schema, every time
Every request returns the exact same shape, no matter how it was fetched behind the scenes. Title, author, score, comment count, and the full comment tree, all in one schema your code can rely on. Build your parser once and it never shifts under you.
Prefer a spreadsheet? Export your history as CSV, one row per snapshot or one row per comment, in a single request.
// request
{ "url": "reddit.com/r/…" }
// response, same shape every time
{
"title": "…",
"author": "…",
"score": 1240,
"num_comments": 318,
"comments": [
{ "author": "…", "score": 92, "body": "…" }
]
}Three fewer things to break
No Reddit API keys, no proxies, no rate-limit bans
Most Reddit scrapers break on the same three things. UGC Scraper takes all three off your plate.
No Reddit API keys
No OAuth app, no developer approval, no Reddit credentials to manage. You sign up, get one UGC Scraper key, and start. Scrape Reddit without a Reddit API key at all.
No proxies to babysit
You never rent, rotate, or debug a proxy pool. The fallback layer handles the network for you.
No rate-limit bans
If a request is throttled or blocked, it fails over automatically, mid-request. Your IP never gets burned, and your pipeline does not stop.
The result is the thing nobody else promises: a Reddit scraper that keeps returning data when Reddit changes the rules.
Deeper than one listing
Get past Reddit's 1000-post listing limit
Reddit caps any single listing at about 1,000 items. Public endpoints, the official API, and most open-source scripts all hit the same wall, which is where a lot of scrapers quietly stop and leave you with one thin slice of a busy subreddit.
Comments are the part people usually care about, and they are not bound by that listing cap. On a large, heavily-ranked thread, a single request only surfaces one slice of the discussion. UGC Scraper pulls more of the thread than a single fetch returns, so you recover far more of the real comment tree.
Every fresh scrape is also written as a durable, immutable snapshot. You can re-pull any post you have already scraped straight from history without spending quota or hitting Reddit again, and because the snapshots are append-only you keep a real record of how a post's score and comments changed over time.
The honest version: we do not magically paginate a listing past Reddit's 1,000-item ceiling. What we do is recover the full comment tree per post, keep everything you pull, and route around blocks so the data keeps coming when other tools stop.
Built for AI pipelines
A Reddit scraper for LLM and AI pipelines
If you are pulling Reddit to feed a model, the hard part is not fetching, it is getting clean, consistent input. UGC Scraper returns one predictable JSON schema that drops straight into a RAG index or a fine-tuning set, no reshaping per source. Point it at the subreddits your users actually discuss, and hand the output to Claude or any LLM to summarize patterns, cluster pain points, or surface what is working.
Using Claude Desktop? Connect it directly over MCP with a two-line config (see the code tabs above) and let Claude scrape Reddit for you, no glue code.
Who it is for
One clean data stream, four kinds of work
Token-optimized input for LLM pipelines
Feed Reddit into a model and the hard part is clean, consistent input, not fetching. One predictable JSON schema drops straight into a RAG index or a fine-tuning set, no reshaping per source. Hand the output to Claude or any LLM to cluster pain points and summarize what users actually say.
A programmatic GummySearch alternative
Visual tools are great for manual browsing; an API is what you automate against. Pull posts from the subreddits your audience lives in, search by keyword, and turn the threads into structured signals your own tooling can tag, score, and act on.
Bulk comment extraction without the plumbing
Text research needs volume across many threads and time periods. Skip the Python-library-and-proxy setup: pull the full comment tree per post and export CSV tables of author, body, score, and timestamp for analysis.
Media links alongside the post payload
Each post carries its image and thumbnail URLs next to the text, so archival workflows can isolate, download, and catalog media without a second scrape or a separate crawler.
Drop-in integration
Three lines to your first scrape
No SDK to install. Call the endpoint with whatever you already use.
curl -X POST https://api.ugcscraper.com/v1/scrape \
-H "Authorization: Bearer rps_live_..." \
-H "Content-Type: application/json" \
-d '{"url":"https://reddit.com/r/.../comments/..."}'How it works
How the Reddit scraper works, in 3 steps
Get your API key
Sign up and get a secret key in seconds. No Reddit login, no OAuth app.
POST a Reddit URL
Send a post to /v1/scrape, or a subreddit, user, or search to their endpoint, with your key. That is the entire integration, and it never changes.
Get clean JSON back
The post and its full comment thread in one consistent schema, cached and ready to use. No HTML parsing, no div soup.
Pricing
Success-only pricing. Never pay for a blocked request.
No compute units, no separate proxy bill. Failed and blocked pulls are free, and only successful posts count toward your quota, cache hits included. Your quota resets at the start of each month; unused volume does not roll over.
Honest comparison
What makes UGC Scraper the best Reddit scraper?
PRAW is great for building a bot; scraping is what you reach for when you need clean, resilient extraction at scale. Here is an objective, feature-by-feature look at the options. Rival cells reflect their public docs and pricing as of mid-2026; open-source tools vary, so those are "depends."
| Tool | No API keys | No proxies to manage | Auto-fallback / reliability | Consistent JSON schema | Success-only pricing | Real free tier | CSV + JSON | LLM / MCP ready |
|---|---|---|---|---|---|---|---|---|
| UGC Scraper | (1k/mo) | (MCP) | ||||||
| Apify (trudax) | (configure proxies) | partial | (compute units + rental) | partial ($5 credits) | (MCP) | |||
| Outscraper | partial | (pay per post) | (50 posts) | |||||
| RedScraper | ||||||||
| PRAW / open-source | (PRAW) / depends | (you manage) | (you build it) | free | (free) | depends | (DIY) | |
| Bright Data | partial | partial (billed-for-failures reported) | partial |
Free and open-source tools win on price, but you operate everything and rebuild the schema yourself. Apify and Bright Data scale but add proxies, compute-unit billing, and complexity. UGC Scraper is the one that stays reliable without any of that, and only bills for data you actually get.
Where the alternatives fall short
The official API (PRAW)
PRAW is a clean wrapper for building bots, but it binds you to Reddit's OAuth app registration and its rate and pagination limits. A listing caps at about 1,000 items, and the terms and pricing around the official API have changed more than once. For deep extraction or an integration you do not want to babysit, it is the wrong tool.
Open-source scripts (YARS, Universal Reddit Scraper)
Free and flexible, but you own the whole operation. They hit public endpoints directly, so running them at any volume means renting and rotating your own residential proxies, handling blocks, and re-fixing the parser every time a layout shifts. The code is free; the infrastructure and maintenance are not.
Cloud actors (Apify, Outscraper)
These scale, but their billing is unpredictable: a fixed actor rental plus fluctuating compute and proxy metrics, and you can still be charged when an extraction fails midway. UGC Scraper bills only for successful posts, so a blocked pull costs you nothing.
FAQ
Reddit scraper FAQ
Will it break when Reddit changes its API or layout?
Do I need a Reddit API key to use UGC Scraper?
Can it scrape Reddit comments, not just posts?
How do you get past Reddit's 1000-post listing limit?
What data do I get back, and in what formats?
Will my scraper get rate-limited or IP-banned?
How are limits counted?
Can I use it to feed Reddit data into an LLM or Claude?
Is scraping Reddit legal?
Is there a free Reddit scraper tier?
Can I use it as a programmatic GummySearch alternative?
Does the scraper break when Reddit changes its page layout?
Can I use it with Claude Desktop over MCP?
Reddit data that's still there tomorrow
One endpoint, one schema, one predictable price. The pipeline you set up once and stop worrying about. Start free; scale when your product does.