SEO Template for SERP Analysis with Serper & Crawl4AI

Introduction

This n8n workflow template provides an end-to-end, automated framework for SERP (Search Engine Results Page) analysis using the Serper API and Crawl4AI. It is designed for SEO teams and automation professionals who require structured, repeatable, and scalable keyword and competitor analysis. By orchestrating SERP collection, enrichment, and content analysis in a single workflow, it supports data-driven keyword strategy, content planning, and competitive benchmarking.

The automation captures both desktop and mobile SERP data, extracts FAQs and related searches, crawls top-ranking pages, and applies OpenAI-based analysis to surface actionable SEO insights. All results are written directly into a Google Spreadsheet, enabling downstream reporting, analysis, and collaboration.

Use Case and Objectives

This template is optimized for advanced SEO research where manual SERP inspection is no longer scalable. Typical objectives include:

• Understanding how a focus keyword performs across devices and markets.
• Identifying user intent via FAQs and related search queries.
• Analyzing competitor content structure, topics, and n-gram patterns.
• Building a prioritized backlog of focus and long-tail keywords.
• Centralizing all SERP and content insights in Google Sheets for ongoing analysis.

By leveraging n8n as the orchestration layer, this workflow minimizes manual effort and ensures consistent methodology across campaigns and markets.

High-Level Workflow Architecture

The workflow is organized into three logical stages, each composed of dedicated nodes and integrations:

• 1. Data Acquisition (Get Data) – Triggered by a form submission, retrieves SERP results from Serper for a specified focus keyword and country, for both desktop and mobile, and normalizes the output.
• 2. Query Enrichment (Related Searches & FAQs) – Extracts and deduplicates related searches and frequently asked questions from the SERP payload, then stores them in separate Google Sheets tabs.
• 3. SERP Content Analysis – Selects the top organic results, deduplicates URLs, crawls them with Crawl4AI, and processes the content with OpenAI (GPT-4o-mini) to generate structured SEO insights that are appended to a dedicated SERP Analysis sheet.

Key Capabilities and Automation Benefits

• Multi-device SERP coverage – The workflow calls Serper for both desktop and mobile SERPs, which is critical for understanding device-specific ranking differences and user behavior.
• Automated noise reduction – Unwanted URLs such as YouTube or other irrelevant domains can be filtered out early in the pipeline, keeping the analysis focused on relevant organic competitors.
• FAQ and related search mining – The template systematically surfaces FAQs and related queries from the SERP data, then removes duplicates to avoid redundancy and maintain clean datasets.
• Advanced content intelligence – By integrating Crawl4AI and OpenAI, the workflow can summarize pages, propose potential focus keywords, identify relevant long-tail keywords, and run n-gram analysis (unigrams, bigrams, trigrams) on competitor content.
• Google Sheets as a data hub – All outputs are written into structured Google Sheets tabs, making it easy to share insights with stakeholders, connect BI tools, or feed other automations.
• Configurable and extensible design – Parameters such as country, keyword input, and SERP filters can be adapted to different SEO projects, and additional nodes can be added for custom reporting or enrichment.

Core Components and Integrations

Form Trigger and Input Capture

The workflow begins when a user submits a form with two critical inputs:

• Focus Keyword – The primary search term to analyze.
• Country – The target market for localized SERP data.

This trigger ensures that each workflow execution is tied to a specific keyword-country pair, which is essential for reproducible SEO experiments and reporting.

Serper API for SERP Data

Once triggered, the workflow uses the Serper API to retrieve Google SERP results for both desktop and mobile. The nodes handling this step:

• Call Serper with the focus keyword and selected country.
• Collect SERP results for each device type.
• Perform initial cleaning and filtering, including removal of unwanted domains such as YouTube, to keep the dataset aligned with your SEO objectives.

Extraction of Related Searches and FAQs

From the Serper response, the workflow extracts:

• Related Searches – Alternative queries and variations that users commonly search in relation to the focus keyword.
• FAQs – Frequently asked questions, often surfaced in People Also Ask or similar SERP features.

To adhere to data quality best practices, the workflow:

• Normalizes and deduplicates related search queries.
• Deduplicates FAQ entries based on question content and associated SERP metadata.
• Appends the cleaned data directly into the appropriate Google Sheets tabs.

Crawl4AI for Content Retrieval

For the SERP Analysis stage, the workflow focuses on top organic results:

• Identifies and limits the number of URLs to analyze, ensuring performance and cost control.
• Deduplicates URLs across desktop and mobile results.
• Uses Crawl4AI to crawl each selected URL, retrieving page content and key metadata required for downstream NLP processing.

OpenAI (GPT-4o-mini) for Content Analysis

After content retrieval, the workflow passes the crawled data to OpenAI (GPT-4o-mini). The model is used to generate structured SEO insights for each URL, including:

• Short summary of the page content.
• Potential focus keyword inferred from the page’s main topic and structure.
• Relevant long-tail keywords that align with user intent and semantic variations.
• N-gram analysis (unigrams, bigrams, trigrams) to identify recurring terms and phrase patterns in competitor content.

The results are formatted to match the target Google Sheet schema and then appended to the SERP Analysis sheet.

Google Sheets Data Model

For the workflow to function correctly, the Google Spreadsheet must be configured with specific sheets and column names. Create a single Google Spreadsheet that includes the following tabs and columns exactly as defined.

SERP Analysis Sheet

Sheet name: SERP Analysis

Columns:

• position
• title
• link
• snippet
• short_summary
• potential_focus_keyword
• relevant_long_tail_keywords
• unigrams
• bigrams
• trigrams

FAQs Sheet

Sheet name: FAQs

Columns:

• question
• title
• link
• snippet

Related Searches Sheet

Sheet name: Related Searches

Columns:

• query

Implementation Steps in n8n

To deploy and operate this template effectively, follow these steps within your n8n instance.

1. Configure credentials
   Set up the necessary credentials in n8n:
   • Google Sheets credentials for read/write access to your spreadsheet.
   • Serper Dev API key for SERP data retrieval.
   • Crawl4AI credentials for page crawling.
   • OpenAI credentials for GPT-4o-mini content analysis.
2. Import and activate the workflow
   Import the provided workflow template into your n8n instance, verify all node connections, and activate it so it can respond to form submissions or your chosen trigger.
3. Prepare the Google Spreadsheet
   Create the spreadsheet with the three sheets: SERP Analysis, FAQs, and Related Searches, ensuring all column names match the specification above.
4. Submit keyword and country
   Use the configured form or trigger node to submit your focus keyword and target country. This will initiate the full SERP collection and analysis pipeline.
5. Monitor and iterate
   Observe the Google Sheets tabs as data is populated. Use the results to refine your keyword strategy, adjust filters, or extend the workflow with additional analytics or reporting nodes.

Best Practices for Using This Template

• Start with a limited set of keywords to validate your configuration and data quality before scaling.
• Regularly review the domain filters used for SERP cleaning to ensure you are excluding only truly irrelevant sources.
• Use the n-gram outputs to inform content briefs, on-page optimization, and internal linking strategies.
• Leverage the FAQs and related searches sheets to build FAQ sections, supporting articles, and topical clusters.
• Version control your Google Spreadsheet or periodically archive results to maintain historical visibility into SERP changes.

Call to Action

If you are looking to operationalize SERP analysis and scale your SEO research, this n8n template offers a robust starting point. By combining Serper, Crawl4AI, OpenAI, and Google Sheets in a single automated workflow, it provides a repeatable framework for extracting competitive insights and optimizing your content strategy.

Deploy the workflow, adapt it to your specific SEO processes, and integrate it with your broader automation stack to maximize impact.

Support & Contact

This workflow has been developed by Marvomatic.

• Website
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• YouTube

For business inquiries or custom automation and SEO consulting, contact: hello@marvomatic.com