🔒 Audit browser and proxy fingerprint/IP integrity with GPT-4o, Sheets and Slack

⚡ 7 views · 🔒 SecOps & Security Automation

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Description

Audit browser & Proxies fingerprint and IP integrity to Slack reports

Introduction

This workflow performs a comprehensive security audit on your web scraping infrastructure to detect potential IP leaks or bot detection flags. It iterates through a list of fingerprinting services and guarded websites using BrowserAct, uses AI to analyze the diagnostic data for anomalies (like mismatched User-Agents or leaked WebRTC IPs), and logs the results to Google Sheets before delivering a final “Go/No-Go” report to Slack.

Target Audience

Web scraping developers, DevOps engineers, and security analysts who need to verify that their automation infrastructure is not being flagged as a bot.

How it works

  1. Initialization: The workflow starts by clearing a designated Google Sheet to prepare for a fresh audit.
  2. Target Definition: A Set node defines a list of diagnostic URLs (e.g., BrowserScan, IPQualityScore) and specific guarded websites (e.g., Footlocker) to test.
  3. Looping: A Split In Batches node iterates through each URL one by one.
  4. Data Extraction: The BrowserAct node visits each URL. It executes the “Bot Detection Check” template to extract raw fingerprint data, headers, and access logs.
  5. Forensic Analysis: An AI Agent (using OpenRouter/GPT-4o) acts as a security analyst. It parses the raw scraping output to identify specific red flags, such as “WebDriver” leaks, IP blacklisting, or CAPTCHA blocks.
  6. Logging: The individual analysis for each site is appended to a Google Sheet.
  7. Aggregation: Once all sites are checked, the workflow fetches all rows from the Google Sheet.
  8. Final Verdict: A second AI Agent reviews the aggregate data to generate a master report, calculating a success rate and identifying consistency issues across different checks.
  9. Notification: The final formatted report is sent to a Slack channel.

How to set up

  1. Configure Credentials: Connect your BrowserAct, OpenRouter, Google Sheets, and Slack accounts in n8n.
  2. Prepare BrowserAct: Ensure you have the Bot Detection Check template saved and active in your BrowserAct library.
  3. Setup Google Sheet: Create a new Google Sheet. (See headers below).
  4. Define Targets: Open the Define Target URLs node and populate the array with the detection services you wish to test.
  5. Configure Guarded Sites: Open the Add guarded test step node if you wish to change the specific e-commerce or protected site being tested (default is Footlocker).
  6. Select Slack Channel: Update the Send Report node to point to your desired Slack channel.

Google Sheet Headers

To use this workflow, create a Google Sheet with the following header in the first row:

Requirements

How to customize the workflow

  1. Add Email Alerts: Add a Gmail or SendGrid node after the final AI Agent to email the report to stakeholders if the “Scorecard” falls below a certain threshold.
  2. Deepen the Analysis: Modify the System Prompt in the Analyze the site results node to check for specific custom headers or headers required by your target websites.
  3. Rotate Proxies: If the report returns a “Fail,” you could extend the workflow to trigger a proxy rotation API (like Bright Data or IPRoyal) automatically.

Need Help?

Workflow Guidance and Showcase Video

🔗 Nodes Used

Google Sheets, Slack, AI Agent, Structured Output Parser, OpenRouter Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup