Best Reddit OSINT
Tools in 2026

THINKPOL (that is us; judge this entry against the table above) operates a private archive of 30+ billion Reddit posts and comments going back to 2005, captured continuously since before Reddit's 2023 API lockdown. It is the only tool in this list that covers all three blind spots at once: content deleted by users, content removed by moderators, and pre-edit versions of edited content. Full-archive search returns in under 300ms, a real-time firehose delivers new content within 15 seconds, and identity resolution links aliases across accounts. Everything is delivered as a REST API and an MCP server, hosted in the EU (GDPR-native, no US CLOUD Act exposure).

The honest limitation: THINKPOL is built for professional use and runs on a request-access model. It is not a casual free browser you open to settle a Reddit argument. That said, a set of free tools exposes real archive capability without an account: user lookup, deleted posts, archive search, trends, and subreddit intelligence. For the full platform picture, see the Reddit OSINT platform page.

Yes, with important limits. Reveddit compares the logged-in view of a Reddit profile with the public view to reveal which comments and posts were removed by moderators. For recent content, this real-time moderator-removal view still works in 2026, and it remains genuinely useful: many users never realize their comments were silently removed.

What Reveddit cannot do: show content the user deleted themselves (that requires an independent archive, which Reveddit is not), show edits, or search by keyword. Its historical depth also degraded after Reddit's 2023 API restrictions cut off the Pushshift data it relied on for older content. Treat it as a live mod-transparency lens, not an archive.

PullPush is a community-run reimplementation of the Pushshift API: same endpoint style, same query parameters, free to use. If you have old scripts or tools built on Pushshift, PullPush is the closest drop-in replacement, and for casual keyword or user lookups it often works.

The honest caveats are structural. Its coverage has gaps, particularly after 2023, when collecting Reddit data at scale became much harder. It enforces rate limits, uptime has been unstable, and as a volunteer project its long-term status is uncertain. It is a commendable community effort, and it is not something you can build a professional investigation workflow on. We compared the options in detail in our Pushshift alternatives guide.

Removeddit, Unddit, and Ceddit were browser tools that showed deleted and removed comments in a Reddit thread by swapping the domain in the URL. All three were thin frontends over Pushshift data. When Reddit restricted API access in 2023 and Pushshift lost its collection pipeline, they stopped working and were never revived. Any page still online is a frozen shell; the trick of changing "reddit" to "removeddit" or "unddit" in a URL no longer returns removed content.

If you landed here searching for one of these names, the working 2026 equivalents are: Reveddit for moderator-removed content on live profiles, PullPush for free (gappy) archive queries, and THINKPOL's free deleted-posts tool for archive-backed deleted-content search. Our guide on how to view deleted Reddit posts walks through each method.

Camas (the Reddit search tool once hosted at camas.unddit.com, originally camas.github.io) and Ihsoyct were among the best search frontends ever built over Pushshift data: fast filtering by author, subreddit, date, and keyword. Investigators loved them because they made Pushshift's raw API usable without writing code.

Both fell with their data source. Camas went offline alongside Unddit; mirrors that remain do not return current data. Ihsoyct instances are defunct or frozen on pre-2023 snapshots where they respond at all. If you relied on these for author-level historical search, the working equivalents in 2026 are PullPush (free, partial) or THINKPOL's archive search (complete, access-controlled).

Never skip the baseline. Reddit's native search has improved, old.reddit.com remains the fastest way to read profiles chronologically, and a Google query with "site:reddit.com" plus your keywords often outperforms Reddit's own search for older threads. All of this is free and requires no tooling.

The structural limits: Reddit caps listings at roughly 1,000 items per view, so a prolific account's older history is unreachable through the platform itself; boolean operators are weak; and deleted, removed, or edited content is simply gone from every native surface. Google's cache reflects Reddit's current state, so it disappears too. The official Reddit Data API exists but is priced and rate-limited for commercial use since 2023, and it only ever returns the live view.

The Internet Archive's Wayback Machine and archive.today store snapshots of individual URLs at specific moments. If someone captured a Reddit thread before it was deleted, the snapshot preserves exactly what the page looked like, which makes these tools excellent for evidence preservation: archive a live thread the moment you find it, and you have a timestamped, third-party copy.

As discovery tools they fail on Reddit for a simple reason: they only hold what someone thought to capture. There is no user-level view, no full-text search across snapshots, and coverage of any given thread is a coin flip. They complement a Reddit archive; they do not substitute for one.

Investigation platforms such as Social Links (500+ data sources), ShadowDragon, and similar suites treat Reddit as one connector among hundreds: social networks, messengers, blockchains, breach data, the dark web. If your casework routinely pivots across platforms with entity graphs and link analysis, that aggregation layer is worth the enterprise price tag.

On Reddit specifically, their depth depends on what each upstream source still exposes; deleted and historical grey-web content generally sits outside their native collection. The two approaches combine well: platforms for breadth and case management, a specialist archive for Reddit depth. This is exactly the layer split we map in our OSINT Tools Landscape.