This article provides a complete, practical walkthrough of the Manual Googlesheets Create 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:  
   Building Automated Lists of Influencers with n8n: A No-Code Workflow to Extract and Curate Data
   
   Meta Description:  
   Learn how a no-code n8n workflow can automate the process of finding, extracting, and organizing lists of influencers using Google Search, Airtop AI, and Google Sheets. Streamline your research workflow in minutes.
   
   Keywords:  
   n8n automation, influencer list builder, no-code workflow, Airtop API, Google Sheets automation, Google search scraping, build in public influencers, data extraction automation, web data parsing, social media research tools
   
   Third-party APIs Used:
   
   1. Airtop API – for natural language query processing and smart web data extraction.
   2. Google Sheets API – to append curated data into a live spreadsheet.
   
   Article:  
   
   Automate Influencer List Building with This Powerful n8n Workflow
   
   Whether you're researching thought leaders, scouting potential social partners, or analyzing "build in public" influencers on social platforms like X (formerly Twitter), doing it manually can be tedious and time-consuming. That’s where automation—and more specifically, n8n—can become your productivity superpower.
   
   In this article, we’ll explore a streamlined no-code workflow in n8n named “List Builder.” This workflow automates the process of identifying influencers from web search results, extracting relevant public data from linked sources, and storing curated entries directly into a Google Sheet. The magic lies in combining simple logic flows with two powerful APIs: Airtop for intelligent data extraction, and Google Sheets for structured output and storage.
   
   Let’s dive into how this workflow works and what makes it so useful.
   
   🧩 Step-by-step Breakdown of the Workflow
   
   1. Manual Trigger Initiates the Flow  
   The workflow begins with a trigger node—When clicking 'Test workflow'—allowing the user to start the automation manually. This is useful for on-demand runs based on new parameters or project needs.
   
   2. Set the Scope of the Search with Parameters  
   The next node, "Parameters," predefines two key variables:
   - who: "Top 'Build in Public' influencers"
   - where: "X"
   
   These dynamic inputs determine the search intent. You could easily swap these values for other queries, like "Top AI startup founders in Europe" or "Climate change researchers on LinkedIn."
   
   3. Search the Web for Curated Lists  
   The "Get URLs" node constructs a dynamic Google search link combining the 'who' and 'where' fields. Through the Airtop API, it sends a prompt to search this term and return up to 10 non-sponsored links leading to relevant curated lists—pages that actually list people, not just random content or opinion pieces.
   
   4. Format Search Results  
   The "Format Results" node parses the JSON returned by Airtop and structures the list into individual URLs for further inspection. It filters each result to extract meaningful link destinations.
   
   5. Scrape People Data From Each Curated Link  
   Each of these URLs is then passed back to Airtop in the "Get People" node. Here, Airtop is instructed to scrape and return up to 20 items per page, looking specifically for:
   - person’s name  
   - identifier or handle (e.g., username)  
   - URL to their profile or source
   
   With this, we’re mining actual human-readable lists into structured profile rows.
   
   6. Deduplicate Entries  
   Web-scraped data often includes overlaps. The "Dedupe Results" node parses all results, cleans up URLs, and removes duplicate entries—specifically using the cleaned profile URL as the unique identifier. This ensures your final data is tidy and unique.
   
   7. Export to Google Sheets  
   Lastly, the "Add to Spreadsheet" node takes the final, deduplicated list and appends it to a Google Sheet titled "List Builder." Each row includes:
   - Who + Where context  
   - Name  
   - Handle or ID  
   - Source URL  
   - Timestamp of when it was added
   
   The sheet is fully structured, and because this happens dynamically, you get a repeatable data pipeline in a couple of clicks.
   
   💡 What Makes This Workflow Special
   
   - Minimal Input = Maximum Output: Just provide two fields—who and where—and trigger the workflow. The rest is fully automated.
   - Smart use of AI with Airtop: Airtop acts as a powerful data interpreter, extracting structured datasets from natural language web pages.
   - Real-World Utility: Whether you're in marketing, research, recruiting, or community building, this workflow gives you instant lists based on real-time content on the web.
   - Reusability and Customization: This is just a template! Adapt the parameters to any subject and platform.
   
   📊 Use Cases
   
   - Quickly find and track influencers based on topic and platform  
   - Market research on niche communities  
   - Curated contact lists for partnerships and outreach  
   - Journalism and fact-checking sources within specific verticals
   
   🛠️ Technologies Behind the Workflow
   
   This n8n automation leverages two key integrations:
   
   - Airtop API: An advanced AI extraction engine allowing natural language prompts to return structured, contextual information from live web content.
   - Google Sheets API: For seamless insertion of the collected data into a shareable, cross-compatible spreadsheet.
   
   Together, they form a lightweight yet powerful data pipeline ideal for digital researchers, growth marketers, and anyone relying on lists pulled and filtered from scattered web content.
   
   🚀 Final Thoughts
   
   By encapsulating the entire process of web searching, data extraction, deduplication, and export into one n8n workflow, the “List Builder” massively reduces the time needed for high-quality influencer research. Combine this with Airtop’s semantic understanding and Google Sheets’ universal accessibility, and you’ll have a solution that’s scalable, adaptable, and effective.
   
   Whether you're building a CRM of Twitter’s top voices or researching top YouTubers in a given niche, this n8n workflow gives you a repeatable tool for intelligent data extraction—no scraping code required.
   
   Ready to clone the workflow? Run it, customize it, and give your digital list-making superpowers.

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.