This article provides a complete, practical walkthrough of the Code Filter Update Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Advanced setup in 1-2 hours. One‑time purchase: €69.

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

   Sure! Below is a complete 500–1000-word article based on the n8n workflow you provided, along with all requested metadata and informational fields.
   
   ---
   
   📌 Title:  
   Automated LinkedIn Profile Enrichment with n8n and Google Sheets
   
   📄 Meta Description:  
   Learn how to automate LinkedIn profile enrichment using an n8n workflow that integrates Google Sheets and the RapidAPI Fresh LinkedIn Profile Data API. Perfect for recruiters, sales, and marketing professionals.
   
   🔑 Keywords:  
   n8n workflow, LinkedIn enrichment, LinkedIn automation, RapidAPI LinkedIn, LinkedIn profile scraper, Google Sheets automation, Zapier alternative, recruiter tools, lead generation, sales prospecting
   
   🔗 Third-Party APIs Used:
   
   - RapidAPI – Fresh LinkedIn Profile Data API
   - Google Sheets API (using n8n Google Sheets node with OAuth2 authentication)
   
   ---
   
   📚 Article:
   
   # Automating LinkedIn Profile Enrichment with n8n and RapidAPI
   
   In today's digitally driven professional sphere, cleaning, enhancing, and leveraging data efficiently can make or break your efforts in recruiting, sales outreach, or market research. LinkedIn remains the goldmine of professional profiles, but manually scraping data is tedious, error-prone, and inefficient.
   
   To streamline this process, we've built an n8n workflow that automatically fetches enriched LinkedIn data from profile URLs stored in a Google Sheet, leveraging the Fresh LinkedIn Profile Data API from RapidAPI. This workflow is designed to help recruiters, sales teams, and marketing professionals save time while improving the quality of their datasets.
   
   ## 🚀 Overview of the Workflow
   
   This n8n workflow automates the end-to-end data enrichment process by:
   
   1. Reading LinkedIn profile URLs from a Google Sheet
   2. Filtering out already enriched profiles
   3. Sending API requests to retrieve fresh profile data via RapidAPI
   4. Parsing the response to eliminate unnecessary data
   5. Updating the original Google Sheet with the enriched fields
   
   All of these steps run automatically with a single click of “Test Workflow,” and take less than a minute per profile.
   
   ---
   
   ## 🔗 Step-by-Step Breakdown
   
   ### 1. Trigger: Manual Run
   
   The workflow begins with the "Manual Trigger" node, allowing users to perform a one-click enrichment test when needed. This is ideal for on-demand data pulls or testing before full automation.
   
   ### 2. Pull LinkedIn Profiles from Google Sheets
   
   Using the authenticated Google Sheets integration, the workflow pulls rows from a sheet titled “Linkedin contact info.” The only required column here is `linkedin_url`. This setup provides a user-friendly interface to manage the list of profiles to be enriched.
   
   ### 3. Filter Already Enriched Profiles
   
   To avoid redundant API calls (and save your limited quota), a filter node checks whether the `about` field is empty—indicating the profile hasn’t yet been enriched. It also ensures each row has a valid `linkedin_url`.
   
   ### 4. Encode URL for API Call
   
   Before sending the LinkedIn URL to RapidAPI, the workflow encodes it using JavaScript's `encodeURI` method to ensure special characters are safely transmitted.
   
   ### 5. API Call to RapidAPI’s Fresh LinkedIn Profile Data
   
   The workflow then calls the Fresh LinkedIn Profile Data API hosted on RapidAPI. You must input your `x-rapidapi-key` and `x-rapidapi-host`—these are provided once you subscribe to the API via your RapidAPI account. With a free plan, users can enrich up to 100 profiles per month.
   
   The API returns comprehensive data, including:
   
   - Name
   - Location
   - Job title
   - Company details
   - Email address (if available)
   - Public profile summary (`about`)
   - Profile picture URL
   - Profile metadata (number of connections, followers, etc.)
   
   ### 6. Clean the Data (Remove Arrays)
   
   Not all API response fields are useful or easily storable in flat table formats. The workflow includes a custom JavaScript function node to iterate through the API response and filter out all array-based fields (like work history and education), keeping only scalar values for simplified data management.
   
   ### 7. Update the Google Sheet
   
   Finally, the enriched data is updated back into your Google Sheet. The node maps incoming values to the correct columns, uses `linkedin_url` as the identifier, and either appends new data or updates existing rows accordingly.
   
   ---
   
   ## 🛠 Setup Guide
   
   To replicate or use this workflow yourself, follow these steps:
   
   1. 🧾 Create a Google Sheet with a single column labeled `linkedin_url`. Fill in profile URLs you want to enrich.
   2. 🛠 Set up n8n (hosted or self-hosted).
   3. 🔑 Connect your Google account in n8n using the OAuth2 method.
   4. 🧪 Sign up for a free RapidAPI account and subscribe to the [Fresh LinkedIn Profile Data API](https://rapidapi.com).
   5. 🔒 Replace the API call header parameters (`x-rapidapi-key` and `x-rapidapi-host`) with your actual values from RapidAPI.
   6. ▶️ Hit “Test Workflow” in n8n and monitor your Google Sheet for updates.
   
   ---
   
   ## 🎯 Use Cases
   
   This workflow is perfect for:
   
   - 👔 Recruiters looking to enrich candidate profiles with current job data
   - 💼 Sales reps scraping buyer personas for outreach
   - 📈 Marketing analysts performing audience research
   - 🧠 Researchers aggregating professional profile data at scale
   
   ---
   
   ## 🧩 How to Customize
   
   You can expand or modify this workflow to suit your needs:
   
   - 🔍 Modify the filter node to include additional criteria like job title or location.
   - 🧬 Enhance error handling for expired keys, rate limits, or bad URLs.
   - 📤 Add integrations to push enriched data to a CRM like HubSpot or Pipedrive.
   - 📅 Schedule it to run automatically with a Cron node for regular updates.
   
   ---
   
   ## ✅ Benefits of Using This Workflow
   
   - ⏱ Saves hours of manual work
   - ⚙ Ensures accuracy and data consistency
   - 💸 Optimizes limited API usage quotas through smart filtering
   - 🧵 Integrates cleanly with existing Google Sheets workflows
   - 🤖 Fully automatable with minimal maintenance
   
   ---
   
   By combining n8n, Google Sheets, and RapidAPI, you can unlock a powerful data enrichment engine that saves time, improves lead quality, and boosts the integrity of your internal databases.
   
   Ready to enrich your LinkedIn profiles on autopilot? This n8n workflow gets you there effortlessly.
   
   --- 
   
   If you'd like a downloadable version of this n8n workflow or help deploying it, feel free to reach out or comment below.
   
   --- 
   
   ✔️ Author: AI Workflow Assistant  
   📅 Date: Updated to reflect n8n features as of June 2024

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.