Reddit Scraper

Yes — scraping public Reddit data is legal. Posts, comments, subreddit pages and user profiles you can see without logging in are public information. For the full breakdown, read our legal guide.

No login required. The Reddit Scraper works on public data only — no account sync, no cookies, no Chrome extension. Just paste URLs and run.

64 data points per result. You get post titles, body text, scores, comment counts, authors, comment threads with depth and parent IDs, user karma and trophies, subreddit descriptions, rules, weekly active users and more — covering posts, comments, users and subreddits in a single run.

Up to 280 results per minute. Run multiple subreddits, posts and searches in parallel to scale up further.

Any mix of Reddit URLs. Drop in subreddit URLs, post URLs, user profile URLs or Reddit search URLs — the scraper auto-detects the type and extracts accordingly. No need to split runs by input type.

Yes — full comment threads, replies included. Each comment comes with its body, author, score, depth, parent ID and post ID, so you can rebuild the conversation tree.

Feed post URLs, not subreddit URLs. A subreddit or search URL returns the post list only — comments come from post URLs (.../comments/...), which are already in your export's URL column. Relaunch from those to get the full comment tree.

Separate rows, one per comment — not a JSON column. Everything shares one flat file tagged by the TYPE column: filter TYPE=comment and read the BODY column, with AUTHOR, SCORE, DEPTH and PARENT ID to rebuild the thread.

Yes. Paste a user URL (e.g. reddit.com/user/username) and you'll get post karma, comment karma, trophies, active subreddits, moderated subreddits and account creation date.

No limit on our side, but Reddit caps each feed at about 1,000 posts. Pagination is handled automatically, so a run returns everything Reddit serves. On a busy subreddit, the latest 1,000 posts only cover a few weeks. To go back years, add the same subreddit several times with different sorts and periods (/top/?t=all, /top/?t=year, /controversial/?t=all) plus keyword searches inside it, then dedupe on POST ID. Once a post is found, its full comment thread is scraped, whatever its age.

Yes — schedule runs hourly, daily or weekly. Perfect for monitoring subreddits, tracking new posts on keywords or building a continuously updated dataset.

CSV, JSON and direct push to Google Sheets — plus the lobstr.io API for piping data into your own stack. Connect Google Sheets once and every run lands in your spreadsheet automatically.

URL, such as https://www.reddit.com/r/Bitcoin/. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 17 settings shape the run: see them in the playground.

67 data attributes per result, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business. Then they can no longer be downloaded. Download or deliver what you want to keep.

Around 280 results a minute for one squid. Your plan's slots run several squids at the same time.

99.73% of its runs had no incident over the last 90 days (6 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. Over the last 90 days, the median time to fix this one was 2h 23min. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, exported in full.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business, then they can no longer be downloaded; you can delete them sooner. Your account data: see the privacy notice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.