OSINT.industries is one of the highest-leverage paid OSINT tools in the practitioner toolkit. Plug in an email address or a username and it tells you which of 200+ services that identifier is registered against, Spotify, LinkedIn, Strava, Adobe, Pinterest, Apple, Discord, Telegram, and a long tail of smaller platforms. This is the tutorial I run for new analysts on my team.
What OSINT.industries actually does
Under the hood, OSINT.industries automates the same checks a manual investigator would run, the password-reset trick, the “user already exists” registration check, public-profile scraping. They run it across hundreds of platforms in parallel and present a normalised report. What used to take a day of manual probing takes 90 seconds.
For an email query you typically get: which platforms have an account on that email, sometimes the registered name or username, profile photo if public, account creation date, last activity. For a username query you get the same across platforms that allow username lookups.
Pricing and access
Subscription model, roughly $30/month for entry tier, several tiers above that for higher query volumes and enterprise features. They do not have a free tier as of 2026.
For occasional use the entry tier is fine. For active journalistic or DFIR practice, the mid-tier ($100/month-ish) makes more sense.
Step 1: Set up your research persona before signing up
Sign up using a research-persona email and a payment method that’s not directly tied to you (corporate card if your firm has one; otherwise an OK-with-it Privacy.com card). Don’t create the account from your home IP if your work involves sensitive subjects, use a research VPN.
OSINT.industries logs queries server-side and you should assume the log is reachable by subpoena. Treat your query history as evidence.
Step 2: A typical journalism workflow
You’re verifying a source’s claim that a corporate executive used a personal email for sensitive work. The executive’s name and corporate email are public.
Step 1. Plug the corporate email into OSINT.industries. Note the platforms it surfaces, corporate accounts on Slack, Asana, etc., these establish a baseline for what kinds of platforms this person uses.
Step 2. Use holehe (free CLI alternative) and OSINT Dojo’s resource list to enumerate likely personal email patterns based on the executive’s name. Common patterns: [email protected], [email protected], [email protected].
Step 3. Plug each candidate personal email into OSINT.industries. The one that returns hits on platforms that match the executive’s known interests (Strava if they’re a runner, Pinterest if they have publicly identified hobby) is your candidate.
Step 4. Cross-reference with breach data via IntelX or Have I Been Pwned. If the personal email shows up in old breach data with a registration date matching the executive’s known timeline, you have multi-source corroboration.
Step 3: A typical due-diligence workflow
Investing in a startup, the founder’s name and a corporate email are on the cap table. You want to confirm there are no skeletons in their digital history.
Plug their email into OSINT.industries. Look for: gambling platforms, adult-content sites, multiple instances of the same persona name across very different platforms (sometimes signals a long history of throwaway accounts). Cross-reference identifiers against IntelX for any breach exposures or paste-site hits.
None of this is necessarily disqualifying. The point is to know what you’re investing in. Surprise findings post-investment are worse than findings during diligence.
The ethics line I won’t cross
Three rules I follow without exception:
1. Never run queries on private individuals not connected to a public-interest matter. Curiosity isn’t a justification. The tool exists to make legitimate investigation faster, not to make stalking easier.
2. Document every query and why. If you’re ever asked to justify the work, the contemporaneous notes are your defence. “I was investigating X for Y publication” with a date is enough.
3. Don’t publish identifiers that don’t matter. If you find someone’s hobby Strava account during an investigation, don’t include it in the writeup unless it’s directly relevant. Surfacing private data adjacent to your real story damages your credibility.
Free alternatives if budget is the issue
Manually: Sherlock for usernames, holehe for emails, PhoneInfoga for phone numbers. Slower, less polished, free. The OSINT.industries premium is paying for the parallelisation and the report quality.
For occasional use the free tools work. For 50-query days, OSINT.industries pays for itself in saved hours.