Check your web scraping setup for IP and bot-detection leaks

Tests your scraping tools against fingerprinting sites and reports any IP or bot-detection leaks straight to Slack.

How the work actually flows

A straight line. Runs once per each fingerprinting or guarded test site.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("security scan run started")):::human s0[["visit each test site"]]:::mi s1["AI analyzes for leaks"]:::svc s2[("log findings per site")]:::store s3["send go/no-go report"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"go/no-go security report"/]:::out pay{{"catches bot-detection leaks early"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
An outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsSpreadsheet & Database OpsWeb Scraping & Data CollectionDevOps & IT OperationsSecurity & Compliance
Connects
BrowserActOpenAIGoogle SheetsSlack

The problem it solves

If your team scrapes websites or runs automated browsers, you need to know when your setup is starting to look like a bot instead of a real user. Checking this by hand across multiple fingerprinting tools and guarded sites is slow, and a missed leak can get your infrastructure blocked or blacklisted.

Who it fits

Web scraping teams, DevOps engineers, and security analysts who need to verify their automation isn't getting flagged.

How it works

  1. A run is started against a list of fingerprinting and guarded test sites
  2. Each site is visited and diagnostic data like headers and IPs is captured
  3. AI analyzes the results for red flags such as leaked IPs or blocked access
  4. Findings are logged for every site checked
  5. A final go or no-go report is sent to Slack
What you get

Leaks caught before they cost you access

You get a go or no-go report in Slack confirming whether your scraping setup is leaking IPs or getting flagged by bot detection.

What you get

A go/no-go security report in Slack, plus a logged record of every fingerprint check performed.

What you need

Accounts with BrowserAct, an AI model provider, Google Sheets, and Slack.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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