This article provides a complete, practical walkthrough of the Code Schedule 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:  
   Automate G2 Review Monitoring with n8n: Slack Alerts and Google Sheets Integration
   
   Meta Description:  
   Learn how to automatically track G2 reviews of your competitors using n8n. This workflow scrapes data with ScrapingBee, logs reviews to Google Sheets, and sends instant Slack alerts for every new review.
   
   Keywords:  
   G2 reviews, n8n, ScrapingBee, Slack integration, Google Sheets automation, competitor monitoring, workflow automation, review alerts, no-code tools, SaaS competitor tracking
   
   Third-party APIs Used:
   
   - ScrapingBee API
   - Google Sheets API
   - Slack API
   
   Article:
   
   In the ever-competitive SaaS landscape, understanding customer perception is not just a nice-to-have—it's a strategic necessity. Whether you're benchmarking your own product or gathering intel on your rivals, platforms like G2 serve as a goldmine of real customer feedback. But manually checking review pages each day? That’s a task no one wants to own.
   
   Luckily, with a bit of ingenuity and a powerful no-code tool like n8n, staying on top of competitor reviews can be fully automated. In this article, we’ll break down an n8n workflow that fetches the latest reviews from G2 for key competitors, filters out duplicates, logs them in Google Sheets, and sends real-time alerts to a Slack channel.
   
   Let’s dig into how it works.
   
   Overview of the Workflow
   
   This n8n automation is designed to run once a day and covers the following key functions:
   
   - Pulls review data from G2 for key competitors using the ScrapingBee API
   - Parses and formats the review content
   - Compares review URLs against historical data stored in Google Sheets
   - Sends out Slack notifications for new reviews
   - Appends new reviews to the Google Sheet for future reference
   
   Data Sources: Competitor Review Pages
   
   The process starts by listing the competitors you want to monitor—in this case: Zendesk, Intercom, and Dixa. These names are dynamically injected into G2's review URLs using the format:
   
   https://www.g2.com/products/{competitor}/reviews?order=most_recent
   
   These URLs are then scraped using the ScrapingBee API.
   
   Web Scraping with ScrapingBee
   
   ScrapingBee is a headless browser API that makes it easy to scrape content without dealing with JavaScript rendering or anti-bot measures.
   
   This workflow leverages ScrapingBee’s premium and stealth proxy options to bypass any scraping blocks and retrieve the complete HTML of each competitor’s review page.
   
   HTML Parsing and Data Structuring
   
   Once the page content is retrieved, an HTML parser node extracts the relevant review blocks using CSS selectors.
   
   Specifically, each review section (container div) is scanned for:
   
   - Review date
   - Review body (HTML)
   - Rating
   - Reviewer profile URL
   - Review permalink on G2
   
   The review body is then converted from HTML to Markdown using n8n’s built-in Markdown conversion node—making it more readable and Slack-friendly.
   
   Duplication Check with Google Sheets
   
   To prevent duplicate entries and notifications, the current list of already-processed reviews is fetched from Google Sheets. A Merge node compares the new reviews against this existing dataset based on the review URL.
   
   Only new, unseen reviews pass through this filter.
   
   Slack Alerts for New Reviews
   
   All fresh reviews are instantly posted to a configured Slack channel. The message template highlights the reviewer profile, the G2 review link, the rating, and the full Markdown-formatted review content. It even includes the G2 logo as the bot’s avatar for added context.
   
   This ensures your team gets daily intel on what users are saying about your competition—directly in Slack.
   
   Persistence via Google Sheets
   
   New reviews are also logged in an integrated Google Sheet, capturing:
   
   - Date
   - Rating
   - Markdown-formatted review body
   - Review URL
   - Reviewer profile URL
   
   This makes it easy to maintain a historical record, perform sentiment analysis, or build dashboards later on using Google Data Studio or Excel.
   
   Ease of Use and Customization
   
   Setup is straightforward. You'll need:
   
   - API key for ScrapingBee
   - A Google Sheet with edit permissions
   - A Slack app or bot with permission to post messages
   
   Competitors can be changed within the "Add your competitors here" node using a simple JavaScript return statement. Adjusting the scraping schedule is as easy as editing the "Execute workflow every day" trigger node.
   
   Full installation instructions and a pre-built version of the workflow are available in the linked Notion guide.
   
   Use Cases
   
   - Competitive Intelligence: Monitor customer sentiment around competing products
   - Product Marketing: Identify feature mentions, pain points, and trends
   - Customer Success: Benchmark user feedback and opportunity areas
   
   Conclusion
   
   This automated workflow offers a smart, scalable way to monitor G2 reviews at zero manual cost. With this setup, your team will be the first to know about new feedback—and can respond strategically before the competition even notices.
   
   All done with zero code, full transparency, and complete customization through n8n.
   
   Whether you're a marketer, product manager, or competitor analyst—this is one of those small automations that deliver big strategic value. Happy scraping!
   
   👉 Access the full guide here: [Scrape G2 Reviews with n8n (Notion)](https://lempire.notion.site/Scrape-G2-reviews-with-n8n-3f46e280e8f24a68b3797f98d2fba433?pvs=4)

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.