This article provides a complete, practical walkthrough of the Wait Splitout 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:  
   Automated Competitor Analysis Using AI Agents in n8n Workflows
   
   Meta Description:  
   Learn how to automate competitor research using an n8n workflow powered by Exa.ai, OpenAI, SerpAPI, Firecrawl, and Notion. This guide explores how AI agents can gather company data, product details, and customer reviews into a structured Notion report.
   
   Keywords:  
   n8n, competitor analysis, Exa.ai, OpenAI, Firecrawl, SerpAPI, Notion automation, AI workflow, business intelligence, marketing research, web scraping, product reviews, pricing analysis, automation tools
   
   Third-Party APIs Used:
   
   1. Exa.ai – AI-powered API for finding similar or competing companies.
   2. OpenAI API – Used to analyze content and generate structured summaries using GPT-4.
   3. SerpAPI – API for structured Google search results, including company websites, review sites, and news articles.
   4. Firecrawl – Web scraping API to extract cleaned, structured content from target URLs (Crunchbase, LinkedIn, company sites).
   5. Notion API – For saving final structured competitor reports to a Notion database.
   
   Article:
   
   Automate Competitor Research with AI Agents in n8n
   
   Businesses of all sizes constantly monitor the competitive landscape. But manually gathering data about every competing company—company size, funding, employees, product features, customer reviews—can consume countless hours. What if all of this could be automated?
   
   Thanks to a powerful new n8n workflow that leverages multiple AI agents, web scraping tools, and third-party APIs, competitor research becomes not only scalable but richly insightful. Let’s break down this automated system designed to research competitors, analyze their products, and push detailed reports to a Notion workspace—all with minimal manual intervention.
   
   🔍 Step 1: Discover Competitors with Exa.ai  
   The workflow kicks off by setting a source company—in this case, Notion—and querying the Exa.ai API. Exa uses neural search to return a list of companies with similar characteristics, essentially a dynamic competitor list. These companies are then looped through in the next stages of the pipeline.
   
   💡 Why Exa.ai?  
   Exa specializes in finding "lookalike" companies using AI, making it a powerful starting point for market benchmarking and competitive strategy.
   
   🔁 Step 2: Batch Competitors into the AI Agent Pipeline  
   To ensure reliability, the competitors are processed in batches using n8n's SplitInBatches node. This linear processing ensures that if one company encounters an error, it doesn't halt the entire workflow—an essential design feature for robust automation.
   
   🏢 Step 3: Analyze Company Overview & Funding  
   Each competitor is pushed through the "Company Overview Agent," an AI agent powered by OpenAI’s GPT-4. This agent queries SerpAPI to discover if the company has pages on Crunchbase, LinkedIn, or Wellfound (formerly AngelList). Then, using Firecrawl, it scrapes those pages and extracts pertinent details like:
   
   - Year founded  
   - Founders and CEO  
   - Number of employees  
   - Office locations  
   - Funding rounds, investors, and revenue estimates  
   - Recent news articles
   
   🛍️ Step 4: Extract Product Offerings and Pricing  
   Next, the “Product Offering Agent” takes over. This agent first uses SerpAPI to search for pricing and feature pages on the company’s website. Once the product page is found, Firecrawl retrieves the content, and OpenAI processes it to pull details such as:
   
   - Feature sets  
   - Pricing tiers (freemium, trial, custom)  
   - Promotions and offers  
   - Technology stack  
   - Complementary tools or integrations
   
   This stage allows competitive intelligence teams to directly compare pricing models and product capabilities.
   
   🌟 Step 5: Analyze Product Reviews from the Web  
   The "Customer Reviews Agent" is the third AI analyst in this workflow. It searches for reviews on platforms like Trustpilot and ProductHunt using SerpAPI. Pages are scraped with Firecrawl and summarized by OpenAI into key data points:
   
   - Number of reviews  
   - Positive vs negative sentiment (%)  
   - Top pros and cons  
   - Mentioned countries and platforms
   
   This consumer feedback becomes crucial in identifying how the market perceives each competitor's offering.
   
   📊 Step 6: Compile Competitive Report in Notion  
   Once all three agents return their results, a set node merges the outputs into a single structured JSON object. This consolidated data is then formatted and inserted into a Notion database using the Notion API. The report includes rich content such as:
   
   - Company headlines  
   - Summarized features  
   - Funding and valuation data  
   - Direct links to press articles and review platforms
   
   Each competitor gets its own entry, making it easy to track, annotate, and share findings across teams.
   
   🌐 Technologies Harmonized  
   What makes this workflow special is its combination of cutting-edge APIs and tools:
   
   - AI Search (Exa.ai) for finding comparables  
   - Web Intelligence (SERPAPI) for discovering useful URLs  
   - Document Extraction (Firecrawl) for focused scraping  
   - AI Reasoning (OpenAI GPT-4) for structured interpretation  
   - Documentation (Notion API) for storage and collaboration
   
   🔧 Customization and Scaling  
   The modular structure of this n8n workflow means you can:
   - Adjust the number of competitors  
   - Add more scraping targets (e.g., G2, Capterra)  
   - Customize output fields based on project needs  
   - Send the final report to platforms like Airtable, Google Sheets, or Slack instead of Notion
   
   💬 Final Thoughts  
   In just a few clicks, this automated workflow turns what used to be days of manual competitor research into a reliable, repeatable operation—capable of surfacing hidden insights from data scattered across the web. Whether you’re a startup founder, marketer, or growth strategist, this n8n solution gives you a powerful edge.
   
   👥 Join the Community  
   Need help customizing it for your needs? Join the [n8n Discord](https://discord.com/invite/XPKeKXeB7d) or ask questions in the [n8n Forum](https://community.n8n.io/).
   
   Happy Hacking! 🚀

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.