Audit browser & Proxies fingerprint and IP integrity to Slack reports
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 Initialization: The workflow starts by clearing a designated Google Sheet to prepare for a fresh audit. Target Definition: A Set node defines a list of diagnostic URLs (e.g., BrowserScan, IPQualityScore) and specific guarded websites (e.g., Footlocker) to test. Looping: A Split In Batches node iterates through each URL one by one. Data Extraction: The BrowserAct node visits each URL. It executes the "Bot Detection Check" template to extract raw fingerprint data, headers, and access logs. 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. Logging: The individual analysis for each site is appended to a Google Sheet. Aggregation: Once all sites are checked, the workflow fetches all rows from the Google Sheet. 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. Notification: The final formatted report is sent to a Slack channel. How to set up Configure Credentials: Connect your BrowserAct, OpenRouter, Google Sheets, and Slack accounts in n8n. Prepare BrowserAct: Ensure you have the Bot Detection Check template saved and active in your BrowserAct library. Setup Google Sheet: Create a new Google Sheet. (See headers below). Define Targets: Open the Define Target URLs node and populate the array with the detection services you wish to test. 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). 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: Result Requirements BrowserAct Account:* Required to perform the browser-based checks. You must have the *Bot Detection Check** template. OpenRouter Account:** Required for the GPT-4o model to perform the forensic analysis. Google Sheets:** Used as a temporary database to store logs during the loop. Slack Account:** Used to receive the final audit report. How to customize the workflow 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. 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. 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? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video How to Test Your Proxies for n8n: AI-Powered Fingerprint & Bot Check. An n8n automation workflow template by Madame AI Team | Kai.
Madame AI Team | Kai
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