This article provides a complete, practical walkthrough of the Manual Googlesheets Automation Triggered 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:
   Automating LinkedIn Profile Discovery with n8n: A Step-by-Step Workflow Breakdown
   
   Meta Description:
   Discover how to automate the process of finding LinkedIn profile URLs from Google Sheets using this powerful n8n workflow. Integrate Google Sheets, Google Search, and Airtop AI to streamline your lead research and data enrichment process.
   
   Keywords:
   n8n workflow, LinkedIn profile discovery, automation, Google Sheets automation, Airtop AI, Google Search automation, LinkedIn scraper, no-code automation, enriching contact lists, data automation tool
   
   Third-Party APIs Used:
   
   1. Google Sheets API (via Google OAuth2) – for reading and updating spreadsheet data.
   2. Airtop API – for parsing and extracting information from Google Search results.
   
   —
   
   Article:
   
   Automating LinkedIn Profile Discovery with n8n: A Step-by-Step Workflow Breakdown
   
   In today’s digital world, manually searching for LinkedIn profile URLs for leads or contacts can be a repetitive and time-consuming task. Whether you're enriching a lead list or conducting market research, doing this at scale can quickly become inefficient. Fortunately, with the power of automation through n8n, you can streamline this entire process and save hours of manual work.
   
   In this article, we’ll break down an n8n workflow that automates the discovery of LinkedIn profile URLs using just a name or other identifier stored in Google Sheets. This workflow cleverly combines the Google Sheets API and Airtop’s AI-powered web extraction tool to locate and log a LinkedIn profile URL — all with the click of a button.
   
   Let’s dive into how the workflow functions step by step.
   
   1. Manual Trigger to Initiate the Workflow
   
   The workflow is triggered manually using n8n’s built-in Manual Trigger node. This makes it easy for users to run the automation when they're ready—ideal for testing or ad hoc execution.
   
   2. Fetch Contact Information from Google Sheets
   
   Next, the workflow connects to a Google Sheet titled "Linkedin Profile URLs". This sheet contains the raw input data — presumably names or other identifiers (under a column labeled “Person Info”) for which LinkedIn URLs are needed.
   
   Using n8n’s Google Sheets node (with OAuth2 credentials set up), it pulls the data row by row for further processing.
   
   3. Conduct a Google Search with Airtop AI
   
   The core of the discovery process lies in the next step, which utilizes Airtop’s AI web-extraction service. The workflow dynamically constructs a Google search query using each contact’s information and sends that query to Google search:
   
   Example:
   search query → https://www.google.com/search?q=John+Smith+LinkedIn
   
   It then passes that search page to Airtop’s API along with a prompt that tells the AI to extract only a valid LinkedIn profile URL from the top search results. The prompt ensures clean, structured output:
   “This is Google Search results. The first results should be the LinkedIn Page of {{ $json['Person Info'] }}. Return the LinkedIn URL and nothing else…”
   
   Valid LinkedIn profile URLs are recognized by their consistent pattern: https://www.linkedin.com/in/…
   
   4. Parsing and Merging the Result
   
   The extracted LinkedIn URL is then parsed using a Code node. This node merges the original row data with the extracted profile link into a new JSON object. If the AI cannot find a LinkedIn profile, an empty string is returned instead.
   
   This elegantly bridges the gap between the contact’s initial data and the enriched information output, keeping the structure clean for updating.
   
   5. Update the Spreadsheet with the LinkedIn Profile
   
   Finally, the "Update row" Google Sheets node writes the newly found LinkedIn URL back into the original spreadsheet. This is done using the row number as a reference, ensuring that the original entry is updated in place with minimal disruption.
   
   In the spreadsheet, the updated columns include:
   
   - Person Info
   - LinkedIn URL
   - Validated (optional for QA)
   
   —
   
   Why This Workflow is a Game-Changer
   
   ✅ Scalable: Whether you’re handling 10 leads or 10,000, this workflow operates with minimal friction.
   
   ✅ Accurate: Leveraging AI to interpret search results allows it to return LinkedIn URLs based on context, not just keyword matches.
   
   ✅ Easy to Use: With n8n’s intuitive interface and Manual Trigger, anyone can initiate the process and review the output easily.
   
   ✅ Minimal Setup: With just Google Sheets and an Airtop API key, the system requires no additional infrastructure or scraping tools.
   
   —
   
   Wrap-up
   
   This n8n template demonstrates the true potential of modern no-code/low-code automation. By combining the reliability of Google Sheets with the cognitive power of Airtop's AI-driven web extraction, you can turn a traditional lead-enrichment task into a seamless digital operation.
   
   Whether you're a recruiter, sales rep, or data analyst, integrating workflows like this into your daily routine can dramatically improve productivity while maintaining data accuracy and integrity.
   
   If you’re looking to enrich contacts or uncover LinkedIn profiles without the manual hassle, this workflow is your new secret weapon.
   
   Start automating today 🌟
   
   —
   
   Interested in more no-code automation tips? Subscribe to our newsletter or check out other n8n templates for business automation.

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.