This article provides a complete, practical walkthrough of the Wait Code Automate 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:  
   How to Automate a Complete SEO Content Audit Report with n8n and DataForSEO  
   
   Meta Description:  
   Learn how to automate a full-scale SEO content audit using n8n, DataForSEO, and Google Search Console API. Generate branded reports analyzing crawl errors, content quality, metadata issues, and underperforming pages — all without writing a line of code.
   
   Keywords:  
   SEO audit automation, content SEO report, n8n workflow, DataForSEO API, Google Search Console API, SEO crawler, crawl errors, content optimization, technical SEO audit, automated SEO reporting, n8n automation, HTML audit report, SEO tools
   
   Third-Party APIs Used:
   
   1. DataForSEO API  
      - Used for crawling pages, retrieving on-page summaries, internal links, and bulk audit data (including status codes, metadata, word counts, etc.).
   
   2. Google Search Console API (Search Analytics)  
      - Used to fetch click and impression performance metrics for each page from Google's search engine.
   
   —
   
   Article:
   
   How to Automate a Complete SEO Content Audit Report with n8n and DataForSEO  
   
   For any agency or in-house SEO team, one of the most time-consuming yet essential tasks is auditing the content of a website. Identifying broken pages, outdated content, thin pages, metadata issues, or underperforming content often requires a blend of tools — and a lot of manual work.
   
   But what if you could automate it all — from crawling up to 1,000 pages, assessing technical issues, overlaying performance data from Google Search Console, and wrapping it all in a beautifully branded HTML report?
   
   That’s exactly what this n8n-powered workflow does.
   
   Let’s explore how this powerful no-code automation combines DataForSEO’s crawler and Google Search Console (GSC) insights to deliver a comprehensive SEO content audit — fully customized with your brand colours, logo and URL.
   
   What the Workflow Does  
   
   This n8n workflow, titled "Automated Content SEO Audit Report", orchestrates multiple steps to take a domain from unstructured URLs to a professionally formatted audit report. Here's what it automates:
   
   1. Starts with your basic configuration inputs (domain, brand colors, company details).
   2. Submits a crawl request to DataForSEO for up to 1,000 pages.
   3. Periodically checks the task status until the crawl is finished.
   4. Retrieves raw crawl data (including status codes, title tags, meta descriptions, headings, click depth, etc.).
   5. Extracts all successful 200-status pages for analysis.
   6. Fetches clicks and impressions data for each URL from Google Search Console for the last 90 days.
   7. Merges crawl and GSC data to highlight underperforming pages.
   8. Flags issues based on over 15 content and SEO checks — including:
      - Broken links (404s)
      - Redirect chains (301s)
      - Thin content
      - Outdated meta tags
      - Canonicalization problems
      - Orphan pages
      - H1 tag inconsistencies
   9. Builds a detailed audit structure with page-level flags and grouped issues.
   10. Generates a full HTML report — branded with your company colors, logo, and client domain.
   11. Wraps it all up in a downloadable file using n8n’s "Convert to File" node.
   
   Setup is Easy  
   
   The workflow is completely plug-and-play, requiring just three setup steps:
   
   - Create credentials for DataForSEO and assign them to the appropriate HTTP Request nodes.
   - Add Google OAuth2 credentials for accessing the Search Console API.
   - Fill out the "Set Fields" node with your domain and branding inputs.
   
   With that in place, you can run audits for any domain in just one click. The workflow typically takes 15–20 minutes for about 500 pages — fully automated from crawl to report generation.
   
   Why Automate Your SEO Audits?  
   
   1. Save Time:  
   Manual audits take hours per site. Automating the process frees up your time for insights and strategy.
   
   2. Consistency:  
   No more audits that vary from client to client. This workflow ensures each audit uses the same rules, thresholds, and format.
   
   3. Data-Rich Insights:  
   Combines crawl data and real search performance from GSC to highlight not only technical issues but also content underperformance.
   
   4. Client-Ready Branding:  
   Output includes your logo, brand colors, and domain info, making it a polished deliverable you can send to clients instantly.
   
   5. Customization Friendly:  
   Since it runs in n8n, you can easily adapt thresholds, scoring models, or even integrate it with Slack, CRMs, or Google Sheets.
   
   Third-Party Integrations  
   
   The power of this workflow comes from how it seamlessly combines several third-party APIs:
   
   - DataForSEO API — This affordable yet robust tool handles the website-wide crawl, identifying HTTP issues, metadata anomalies, and internal linking problems.
   - Google Search Console API — Adds depth to the analysis by showing how content is performing: are failing pages even generating search impressions? Are users clicking on them?
   
   Combined, these two APIs turn a generic audit into a strategic, data-informed roadmap.
   
   Issues Detected  
   
   The workflow checks for over a dozen content and SEO issues. Highlights include:
   
   - Broken pages (404)
   - Redirected pages (301)
   - Thin content (under 1,500 words)
   - Outdated titles with old years
   - Stale last-modified dates
   - Missing or duplicate meta descriptions/titles
   - Overly large HTML payload
   - H1 tag problems (missing or duplicates)
   - Internal linking gaps (orphan pages, excessive click depth)
   - Low-performance pages based on real search data
   
   Conclusion  
   
   Whether you run an SEO agency or manage SEO in-house, this automated workflow is a game changer. With minimal setup, you can generate beautifully formatted, client-ready SEO audit reports — 10x faster and 100% consistent.
   
   Best of all, it’s built in n8n, a powerful no-code automation tool that’s easy to inspect, modify, and extend.
   
   Time to retire your spreadsheets and manual crawls — and step into the future of automated, data-driven content SEO audits.
   
   —
   
   Want to learn more or get support customizing this workflow? Reach out to the creators at Custom Workflows AI: https://customworkflows.ai.

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.