This article provides a complete, practical walkthrough of the Stopanderror Wait Create 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: Automating Lead Generation with Google Maps and n8n: A Step-by-Step Workflow Breakdown
   
   Meta Description: Discover how to generate verified business leads using Google Maps API and n8n. This step-by-step workflow tutorial automates data collection, deduplication, and lead management into Google Sheets.
   
   Keywords: lead generation automation, n8n Google Maps workflow, automate business leads, Google Sheets CRM, Google Maps API, n8n tutorial, workflow automation, local business scraping, Google Places API, lead scraping tool, AlexK1919 workflow
   
   Third-Party APIs Used:
   - Google Maps API (Google Places API)
   - Google Sheets API (via Google OAuth)
   
   —
   
   Article:
   
   In today’s fast-paced digital economy, businesses and marketers are increasingly turning to automation to scale operations, especially when it comes to lead generation. One such innovative example comes from Alex Kim, also known as AlexK1919 — an AI-native workflow automation architect — who has built a comprehensive Google Maps Lead Generation Workflow using n8n, a popular open-source automation tool.
   
   In this article, we’ll explore how Alex’s workflow helps automate the entire process of collecting, cleaning, and storing business leads using Google Maps API and saving the results in a structured Google Sheet.
   
   Let’s dive into how it works and what makes it so powerful.
   
   Overview: What the Workflow Does
   
   The workflow titled “Generate Leads with Google Maps - AlexK1919” brings together multiple automation touchpoints:
   
   - Retrieves Zip codes from a Google Sheet.
   - Fetches various business subcategories to search.
   - Queries the Google Maps API for matching businesses in those zip codes.
   - Extracts detailed business information (name, address, phone, reviews, GPS, etc.).
   - Cleans and deduplicates the data to avoid redundancy.
   - Automatically appends or updates rows in a Results sheet within Google Sheets.
   - Updates scraping statuses to avoid duplicate queries.
   - Implements exponential backoff and retries to gracefully handle API rate limits or errors.
   
   This makes it a full end-to-end no-code lead generation pipeline.
   
   1. Workflow Initialization
   
   The workflow begins with a manual or scheduled trigger (disabled by default), followed by the “Settings” node where key parameters are set:
   
   - Google Sheets URL containing the ZIP codes and subcategories.
   - Sheet names to use for ZIPs and business categories.
   
   From there, the workflow fetches all ZIP codes and filters out any that have already been marked “scraped.” Only fresh, unprocessed ZIP codes proceed to the next stage.
   
   2. Fetch Subcategories
   
   Parallel to ZIP code retrieval, the workflow queries the “Google Maps Categories” sheet for business types (aka subcategories). It filters out any set to “Ignore” to focus only on valid targets for scraping.
   
   3. Looping Through ZIPs and Subcategories
   
   n8n’s “Split In Batches” loop nodes allow the system to loop through every ZIP and subcategory combination. For each pairing, the workflow constructs a search query and sends a POST request to the Google Maps API’s Places Search endpoint.
   
   This returns a list of matched businesses, each including rich metadata like:
   
   - Business name
   - Phone number
   - Ratings and review counts
   - Website URL
   - Address
   - GPS coordinates
   - Place ID and listing type
   
   4. Data Handling Pipeline
   
   Once the API data is retrieved, it enters a pipeline for processing:
   
   - Extraction: The “Place Array” function breaks out each business from the response.
   - Cleanup: Data is run through a deduplication node using Place IDs to remove duplicates.
   - Data Enhancement: Coordinates and other metadata are formatted to suit Google Sheets entries.
   - Storage: Each clean record is appended/updated in the designated “Results” Google Sheet via the Google Sheets API.
   
   5. Status and Retry Handling
   
   After successful entry, the original ZIP/subcategory pairing gets its status updated to “scraped” to prevent future redundant queries.
   
   However, if errors arise — particularly from hitting Google Sheets API quota limits — the workflow has built-in exponential backoff and retry logic across three key points. If limits persist past 10 retries, the workflow gracefully stops with an error message, avoiding further API breaches.
   
   Why This Workflow Stands Out
   
   💡 No Redundant Scraping: The sheet-based status tracking ensures ZIPs and subcategories aren’t mistakenly re-scraped.
   
   🧠 Smart API Management: With exponential backoff logic, the workflow navigates throttling without interrupting the entire pipeline.
   
   🧹 Clean Data & Deduplication: Duplicates are removed before reaching the CRM, ensuring only clean records are stored.
   
   👷 Fully Modular & Expandable: Based on your use case, this workflow can be modified to include CRM integrations, email outreach, or further filters like business hours or open status.
   
   How You Can Use It
   
   If you’re in local SEO, business development, or even just trying to compile a vendor database, this workflow can save hours — if not days — of manual research.
   
   All you need is:
   
   - A Google Cloud account with Places API access
   - Basic knowledge of n8n
   - A Google Sheet configured with your ZIP codes and subcategories
   
   With those pieces in place, this workflow allows you to generate local business leads at scale and keep your data fresh and organized automatically.
   
   Final Thoughts
   
   Alex Kim’s “Generate Leads with Google Maps” workflow is an exemplary use of no-code and low-code automation to solve a high-impact business problem. Using n8n, it connects various components — Google APIs, scheduled triggers, status tracking, retries, and error handling — to build a reliable pipeline for data-driven prospecting.
   
   It centralizes the entire lead gen process into one seamless flow—collecting, cleaning, and storing business intelligence that can fuel your sales or marketing.
   
   Whether you're a solo founder, growth marketer, or developer, you can use this workflow as-is or extend it further to suit your unique needs.
   
   You can learn more about Alex and download other amazing workflows at: https://beacons.ai/alexk1919
   
   — 
   Written with insights from AlexK1919’s n8n Workflow  
   Follow Alex’s work on LinkedIn or n8n's community!

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.