This article provides a complete, practical walkthrough of the Code Filter Create Scheduled 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

   **Title:**  
   How to Automatically Scrape Google Maps Data Using n8n and SerpAPI
   
   **Meta Description:**  
   Learn how to automatically scrape business listings from Google Maps using the no-code automation tool n8n and SerpAPI. Export structured data like phone numbers, websites, and ratings to Google Sheets.
   
   **Keywords:**  
   n8n Google Maps scraper, SerpAPI tutorial, Google Maps data automation, Google Maps business scraper, web scraping workflow, Google Sheets automation, n8n SerpAPI integration, scrape local business data, Google Maps API alternative, local SEO data scraper
   
   ---
   
   ## Automate Google Maps Data Collection Using n8n and SerpAPI
   
   Scraping business listings from platforms like Google Maps can be invaluable for marketers, sales teams, and local SEO professionals. However, direct access to Google's Places API is often restrictive, expensive, and limited in use cases. Enter SerpAPI—the ultimate workaround for accessing Google Maps search data—and n8n, a powerful but user-friendly automation platform.
   
   In this guide, we will explore an elegant solution that uses n8n to automatically collect high-value location data from Google Maps, enrich it, and send it directly to Google Sheets—all without writing complex backend code. This no-code/low-code solution is especially powerful for B2B professionals looking to extract lead data at scale, without violating terms of service or using sketchy scraping tools.
   
   Let’s break down how this workflow functions and what makes it an efficient, scalable scraper.
   
   ---
   
   ## Workflow Overview
   
   This n8n workflow is designed to read a list of Google Maps search URLs from a Google Sheet, extract the essential search parameters like keyword and location, pass them to SerpAPI to collect place listings, clean and enrich the data, and finally store everything in a structured format back to Google Sheets.
   
   Here’s the step-by-step flow:
   
   ### 1. Schedule or Manually Triggered Start  
   The workflow can be kicked off either manually via the "Execute Workflow" node or on a scheduled interval using the "Run workflow every hours" node.
   
   ### 2. Read Search URLs from Google Sheets  
   It reads a list of Google Maps search URLs from a defined Google Sheet using the Google Sheets API. These URLs should be pre-filled in a tab named “Add your search here”.
   
   ### 3. Extract Keyword and Location  
   From the search URL, the workflow extracts the search “keyword” and “geo coordinates” required by SerpAPI for scraping relevant data.
   
   ### 4. Make SerpAPI Requests  
   The “SERPAPI - Scrape Google Maps URL” node sends requests to SerpAPI with the extracted keyword and location. Pagination is handled via a looping mechanism that detects the “next” page token and continues until the data is fully retrieved.
   
   ### 5. Merge and Clean the Data  
   All data returned by SerpAPI is merged using the "Merge all values from SERPAPI" and “Transform data in the right format” nodes. Then, the data is split, filtered for non-empty listings, and de-duplicated based on “place_id”.
   
   ### 6. Store in Google Sheets  
   Clean data entries (e.g., business name, phone number, address, website, etc.) are appended or updated in a Google Sheet named “Results”. This ensures that previously scraped items aren’t duplicated.
   
   ### 7. Status Handling  
   If everything runs smoothly, the search URL’s status is updated to ✅ in the original sheet. If the workflow encounters an error, the status gets marked as ❌ for easy monitoring and retrying later.
   
   ---
   
   ## Data Output
   
   Each business listing includes a comprehensive set of data attributes, such as:
   
   - Title (business name)
   - Phone number
   - Website
   - Rating & number of reviews
   - GPS coordinates
   - Place ID and CID
   - Business category or types
   - Photos and reviews links
   - And more (over 20 data points available)
   
   This makes it easier to compile lead lists, perform competitive analysis, or build local SEO databases.
   
   ---
   
   ## Ideal Use Cases
   
   - Local lead generation for digital agencies
   - Building a database for field sales teams
   - Market research or competitor analysis
   - Local SEO content enrichment
   - Automation for managing location discovery
   
   ---
   
   ## Third-party APIs Used
   
   1. **SerpAPI**
      - Used for scraping Google Maps results by simulating Google Maps search behavior.
      - Offers pagination support and rich data output, including structured business listings.
      - Website: [serpapi.com](https://serpapi.com)
   
   2. **Google Sheets API (via n8n integration)**
      - Used for retrieving search URLs, storing extracted data, and updating processing status.
      - Connected via Google OAuth in n8n.
   
   ---
   
   ## Advantages Over Traditional Scraping
   
   - ✅ No need to write complex scrapers in Python or Puppeteer
   - ✅ Avoids Google’s anti-bot mechanisms by using SerpAPI’s managed service
   - ✅ Automates pagination to collect all results, not just the first page
   - ✅ Easily customizable and extendable via n8n’s drag-and-drop interface
   - ✅ Eliminates duplicate entries and formats data for direct use or export
   
   ---
   
   ## Conclusion
   
   This n8n workflow provides a powerful and scalable method for scraping Google Maps data in an ethical and efficient way. By using SerpAPI and Google Sheets together, you're able to build a seamless pipeline to fuel your local business intelligence efforts—without having to write and maintain any scraping scripts.
   
   If you're looking for a cost-effective, low-maintenance, and flexible Google Maps data extractor, this setup is one of the best out there.
   
   🚀 Ready to try it yourself?  
   Copy the Google Sheets template, plug in your SerpAPI key, connect your n8n instance, and start scraping!
   
   🔗 Full implementation guide:  
   [Scrape Google Maps places with n8n - Full Tutorial](https://lempire.notion.site/Scrape-Google-Maps-places-with-n8n-b7f1785c3d474e858b7ee61ad4c21136?pvs=4)
   
   --- 
   
   With just a few nodes and smart logic, n8n becomes more than just an automation tool—it becomes your own data extraction engine tailored to your business goals.

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.