This article provides a complete, practical walkthrough of the Splitout Manual Import 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:  
   Automate SEO Keyword Research Using Google Ads API with n8n
   
   Meta Description:  
   Learn how to automate keyword research using n8n and the Google Ads API to generate search volume, competition scores, and historical trends. Ideal for SEO professionals and marketers looking to streamline their workflow.
   
   Keywords:  
   SEO automation, keyword research, Google Ads API, n8n workflow, SEO tool, search volume data, keyword difficulty, digital marketing automation, Google keyword planner automation, SEO content strategy
   
   Third-Party APIs Used:
   
   - Google Ads API (https://developers.google.com/google-ads/api)
   
   Article:
   
   Automate SEO Keyword Research Using Google Ads API with n8n
   
   If you're an SEO strategist, content marketer, or digital marketing consultant, you know the importance of data-driven keyword research. Manually collecting keyword search volume, competition metrics, and historical trends can be time-consuming and inefficient — especially when dealing with dozens or hundreds of keywords.
   
   This is where workflow automation comes into play.
   
   In this article, we’re going to walk through an advanced n8n workflow designed by Simon from Automake.io that streamlines SEO keyword research using Google Ads API. This powerful automation tool fetches real-time keyword data, including monthly search volumes, competition levels, and trend analysis — all using an intelligent integration of n8n nodes.
   
   What This Workflow Does
   
   This n8n workflow automates key parts of SEO research by executing the following steps:
   
   - Accepts a list of up to 20 keywords.
   - Sends a request to the Google Ads API to retrieve keyword metrics.
   - Parses the results by keyword (split out).
   - Outputs these metrics to a database of your choice.
   
   As a result, SEO professionals can save hours of manual work and gain fast, frequent access to reliable keyword data right from Google’s own advertising engine.
   
   Use Case: Why Automate Keyword Research?
   
   This workflow is perfect for SEO professionals or content marketing teams who:
   
   - Maintain a running list of content ideas but need to validate them with real search volume.
   - Want to study 12-month historical search trends for seasonality.
   - Need to compare keyword difficulty and competition for better prioritization.
   - Are building automated dashboards or reports that ingest keyword research data.
   
   Workflow Breakdown
   
   Here’s an overview of how the workflow components come together:
   
   1. Manual Trigger  
   Everything starts with the “Test Workflow” manual trigger. This allows users to run the workflow manually within n8n while testing various keyword input sets.
   
   2. Set ≥ 20 Keywords Node  
   This node accepts an array of up to 20 keywords. These keywords are used as the search seed for fetching data from Google Ads. For example:
   
   ```json
   ["workflow automation software", "enterprise workflow automation", ...]
   ```
   
   This step can also be modified to pull data from external sources like Airtable, Google Sheets, or a CRM.
   
   3. Get Search Data (HTTP Request to Google Ads API)  
   This is the heart of the workflow. Here, the Google Ads API endpoint generateKeywordHistoricalMetrics is called via POST request. The payload includes your selected keyword list, indicating to Google Ads what keyword metrics you want returned.
   
   Authentication is done through OAuth2 (with the required Google Ads OAuth2 credentials configured in n8n), and headers contain:
   
   - developer-token
   - login-customer-id
   - content-type: application/json
   
   Remember to replace placeholders like `{customer_id}` in the URL with your actual Google Ads account reference.
   
   4. Split Out by KW  
   Once the Google Ads API returns metrics, this node splits the result so each keyword can be handled individually. This is particularly useful if you're storing results in a row-wise structure like a database or spreadsheet.
   
   5. Output: Connect to Your Own Database  
   The final step connects the split keyword data to your output destination. This could be a SQL database, Airtable, a Google Sheet, or other supported destinations in n8n, depending on your business requirements.
   
   Important Setup Notes
   
   To successfully execute this workflow, a few things are required:
   
   - Google Ads API Access: Create a developer account, generate an OAuth2 token, and sub in credentials such as `developer-token`, `login-customer-id`, and `customer_id`.
   - Replace Default Outputs: The current example uses a NoOp (null operation) node for demo purposes on the output. Swap this for your actual output destination — be it a data warehouse or marketing dashboard.
   - Monitor API Changes: As with all APIs, ensure you're referring to the latest API documentation from Google Ads. The current endpoint used is v16 — which may change in future versions.
   
   Customization Guide
   
   Want even more flexibility? The workflow is easy to customize. You can:
   
   - Change the keyword source: Replace the static keyword array with input from an Airtable base, GSheet, or live database sync.
   - Add keyword scoring logic: Use additional nodes to calculate a proprietary difficulty score using search volume, competition, and CPC.
   - Extend analysis: Connect the output to tools like Tableau or Google Data Studio for visualization.
   
   Final Thoughts
   
   This powerful workflow showcases how marketing and SEO tasks can be made smarter — not harder — using automation. By pairing n8n’s intuitive visual workflow interface with the robust data served by the Google Ads API, marketers are empowered with accurate, scalable, and fast insights into keyword performance. Whether you're running an agency or building your own SEO stack, this workflow offers a foundation that is both customizable and production-ready.
   
   Thanks to Simon @ Automake.io for sharing this incredibly valuable automation. Ready to let your automation handle the keyword grunt work? Give it a test and start experimenting with your own data sources and outputs.
   
   Now go turn those SEO ideas into data-backed content strategies.
   
   — Written by your AI Assistant ✨

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.