This article provides a complete, practical walkthrough of the Limit Code Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Tracking Chrome Extensions via Linkedin: A No-Code Approach with n8n and SERP API
   
   Meta Description:  
   Discover how to use n8n and Google SERP API to identify Chrome extensions tracked by LinkedIn. Learn to automate extension detection and create a searchable Google Sheet with metadata like name, URL, and description—all without writing backend code.
   
   Keywords:
   
   - Chrome extension tracking  
   - Linkedin Chrome extensions  
   - n8n workflow tutorial  
   - Web scraping Chrome extensions  
   - Google SERP API  
   - Automate with n8n  
   - LinkedIn privacy  
   - n8n Google Sheets integration  
   - Tracking browser extensions  
   - No-code automation tools  
   
   Third-Party APIs Used:
   
   - Google Sheets API (via OAuth2) – for reading and writing extension data to a spreadsheet.
   - SERP API 1 (via RapidAPI) – for retrieving Chrome extension metadata based on an ID.
   
   Article:
   
   Automating Chrome Extension Tracking with n8n and the SERP API
   
   In the ever-evolving world of online data privacy, it's becoming increasingly apparent that websites and platforms track more information than users may expect. A recent discovery shared on LinkedIn highlighted how the platform seems to track which Chrome extensions are installed on users’ browsers. To bring transparency to this, a clever n8n workflow was developed that automates the detection and identification of Chrome extensions referenced in LinkedIn’s network traffic.
   
   This article walks you through how this n8n workflow works and shows how a visual, no-code automation tool can tie together APIs, web scraping, and spreadsheets to build a powerful visibility solution for browser extensions.
   
   🎯 Purpose of the Workflow
   
   The goal is simple but powerful: take a long list of Chrome extension IDs (collected from LinkedIn's interaction with your browser) and match each ID with human-readable metadata—like extension name, link, and description—by using a search engine (in this case, a Google search via the SERP API). The data is then logged into a Google Sheet for reference and analysis.
   
   🧩 Core Components of the Workflow
   
   This n8n workflow is made up of the following essential parts:
   
   1. Manual Trigger Node  
      – Starts the process when a user clicks "Test Workflow" in n8n.
   
   2. Set Extension IDs  
      – A custom JavaScript function parses a massive JSON array containing Chrome extension IDs and related resource files extracted from LinkedIn data.
   
   3. Load Already Processed Items  
      – Reads the contents of a Google Sheet to avoid reprocessing extensions that have already been resolved and logged.
   
   4. Exclude Processed Items  
      – Uses a Merge node operating in "keepNonMatches" mode to filter out any extensions that are already in the sheet.
   
   5. Limit  
      – Throttles the process to 200 items per run to prevent API overuse or latency issues.
   
   6. Loop Over Items  
      – Batches the remaining items in sets of 2 for stepwise processing.
   
   7. SERP Request via RapidAPI  
      – Triggers a search like site:chromewebstore.google.com {extension_id} using the SERP API, returning relevant metadata such as the extension name, link, and a short snippet.
   
   8. Upsert to Google Sheets  
      – Logs the newly discovered extension metadata into a Google Sheet using the extension ID as the unique key to avoid duplication.
   
   📊 Output: Your Personalized Chrome Extension Tracker
   
   The final result is a neatly organized Google Sheet where each row contains:
   - Extension ID  
   - Resource file (the clue linking the extension to LinkedIn pages)  
   - Extension name  
   - URL to the Chrome Web Store entry  
   - A brief snippet describing the extension  
   - Timestamp of when it was processed
   
   🔐 Why This Matters
   
   This workflow doesn’t just automate a tedious task—it sheds light on privacy implications. If LinkedIn is indeed querying browser-installed extensions, it could hypothetically tailor the experience based on installed tools, creating a user fingerprint for profiling or tracking purposes.
   
   ⚙️ Setting It Up in Minutes
   
   To use this yourself:
   
   1. Clone the spreadsheet template:  
      https://docs.google.com/spreadsheets/d/1nVtoqx-wxRl6ckP9rBHSL3xiCURZ8pbyywvEor0VwOY/edit
   
   2. Get a free API key by subscribing to the SERP API on RapidAPI:  
      https://rapidapi.com/restyler/api/serp-api1
   
   3. Set up header-based authentication in n8n using the "httpHeaderAuth" type and add your API token.
   
   4. Activate the workflow and enjoy a hands-free process that seamlessly updates your spreadsheet with clear, searchable data.
   
   🧠 Takeaways
   
   - This automation proves the value of open-source, no-code tools like n8n in building custom privacy and transparency solutions.  
   - It underscores the importance of monitoring what data is leaving your browser—even in the background.  
   - And lastly, it helps users take control of their digital fingerprint by identifying unexpected browser extension leaks tied to their browsing behavior on platforms like LinkedIn.
   
   For anyone curious about browser security, automation, or open-source tooling, this project exemplifies the possibilities when you combine technical creativity with ethical questions. Kudos to the creator, Anthony Sidashin, for engineering a tool that educates the internet community about hidden privacy dynamics.
   
   Follow him on LinkedIn: https://www.linkedin.com/in/anthony-sidashin/  
   Original post detailing the discovery: https://www.linkedin.com/feed/update/urn:li:activity:7244984812497702912/
   
   Now go check which Chrome extensions LinkedIn might be tracking from your browser—transparency awaits!
   
   —  
   Written with input from the n8n community and privacy enthusiasts.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.