SOCIAL MEDIA
Archive impersonation evidence to R2 and alert the brand channel
Captures a tamper-evident evidence bundle (screenshot, page snapshot, metadata hash) for each newly flagged impersonator profile, stores it durably in Cloudflare R2.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled detection pass
- ActionPull flagged impersonator profilesApify
- ActionCapture screenshot and HTML snapshotBrowserbase
- ActionHash capture and build evidence manifestShell
- ActionUpload evidence bundle to dated R2 prefixCloudflare R2
- OutputPost Discord alert with hash and permalinkDiscord
What it does
It builds a durable, time-stamped evidence record for every impersonator your detection finds, so that when you file a takedown the proof still exists even after the fake account is deleted. Each bundle lands in R2 and the team gets a Discord ping linking to it.
When to use it
Use this when platforms or legal counsel demand preserved evidence at the moment of detection, since impersonators often vanish before a manual report is filed. It fits brand-protection and legal-ops teams building a defensible takedown trail.
How it works
- 1A schedule triggers a fresh detection pass.
- 2Apify pulls the latest flagged impersonator profiles from your monitoring source.
- 3Browserbase captures a full-page screenshot and HTML snapshot of each profile.
- 4A shell step computes a SHA-256 hash and writes a metadata manifest binding the capture to a timestamp.
- 5The screenshot, snapshot, and manifest are uploaded to a dated R2 prefix.
- 6Discord posts an alert per profile with the handle, hash, and R2 permalink.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect BrowserbaseHeadless browsers, sessions, replays.
- 3Connect ShellRun sandboxed commands inside the workspace.
- 4Connect Cloudflare R2Object storage, S3-compatible.
- 5Connect DiscordCommunity channels + voice + bots.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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