This article provides a complete, practical walkthrough of the Splitout Converttofile Send 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:  
   Streamline Book Data Scraping with n8n, Dumpling AI, and Google Sheets Integration
   
   Meta Description:  
   Learn how to build a no-code automation in n8n that scrapes book data from a website using Dumpling AI, parses HTML, sorts by price, and emails a CSV report — all triggered from a Google Sheets entry.
   
   Keywords:  
   n8n web scraping, Dumpling AI, Google Sheets automation, Gmail API, export HTML to CSV, book scraper workflow, no-code automation, email CSV, sort by price, extract HTML content
   
   — — — — — — —
   
   Article:
   
   Scraping Made Simple: Automating Book Data Collection with n8n and Dumpling AI
   
   Modern automation tools are making it easier than ever to extract, process, and share data – even for non-developers. Whether you're a marketer, a data analyst, or simply someone who wants to monitor book prices online, n8n offers a powerful, no-code workflow engine to help you get the job done.
   
   In this tutorial, we’ll explore a comprehensive n8n workflow that scrapes book listings from a target URL, cleans and parses the HTML using Dumpling AI, organizes the data, and sends it straight to your inbox as a CSV file — all initiated by adding a URL to a Google Sheet. Let's break it down step by step.
   
   📌 What This Workflow Does
   
   This automation is a seamless combination of data scraping, transformation, and delivery. Here’s what happens behind the scenes when the workflow runs:
   
   1. A new URL is added to the Google Sheets document.
   2. Dumpling AI fetches and returns the full cleaned HTML of the target bookstore page.
   3. The workflow parses HTML to extract book entries using CSS selectors.
   4. Each book's title and price are extracted individually.
   5. The list is sorted by price in descending order.
   6. The sorted information is converted to a CSV file.
   7. An email is sent with the CSV file attached.
   
   This workflow is especially useful for eCommerce tracking, competitive pricing analysis, bulk data reporting, or personal projects involving book libraries.
   
   ⚙️ The Step-by-Step Workflow Breakdown
   
   1. Google Sheets Trigger  
   The workflow begins with a Google Sheets Trigger node. It monitors a specified spreadsheet for a new row – specifically, a URL containing the page to scrape. Once this happens, the entire workflow is automatically set in motion.
   
   2. Scrape Website Content with Dumpling AI  
   Dumpling AI is a powerful tool for fetching structured web content. The “HTTP Request” node sends a POST request to Dumpling’s API with the page URL included. It requests the content in a cleaned HTML format, improving consistency and accuracy when parsing.
   
   3. Extract All Books from the Page  
   Now, the HTML content is processed using an “HTML” node. The node isolates the structure of the bookstore page by using CSS selectors (in this case, “.row > li”), extracting all list items containing book data as an array of HTML blocks.
   
   4. Split HTML Book Entries  
   The “SplitOut” node takes the array of HTML blocks (each representing a book) and splits them into individual items. This allows downstream nodes to operate on each book separately — a necessary step for field-by-field data extraction.
   
   5. Extract Individual Book Data  
   With each book in its own structured data format, another “HTML” node extracts specific metadata:
   
   - Title: Retrieved from the title attribute of the anchor tag inside the h3 tag.
   - Price: Extracted using the `.price_color` CSS selector.
   
   This data is now in JSON format — one item per book.
   
   6. Sort Books by Price  
   The books are then sorted in descending order using n8n’s “Sort” node, offering cleaner and more useful output for those tracking high-priced or best-selling listings.
   
   7. Convert to CSV File  
   The sorted JSON data is passed to the “Convert to File” node, which transforms it into a CSV format – ready to be shared or downloaded.
   
   8. Send Email via Gmail  
   Finally, the “Gmail” node emails the CSV file as an attachment. A brief message and subject are included, delivering the polished dataset right to your team or inbox.
   
   📤 Example Use Cases
   
   - Bookstore price tracking
   - Daily reports for eCommerce sites
   - Competitive analysis dashboards
   - Inventory updates sent by email
   - Data collection for machine learning or analytics
   
   📡 Third-party APIs Used
   
   This workflow integrates the following third-party APIs:
   
   1. Google Sheets API (Trigger) – for watching new row entries to fire the workflow.
   2. Dumpling AI – for scraping and returning HTML content from a specified URL.
   3. Gmail API – for sending out the email with the CSV attached.
   
   🔐 Setup Tips
   
   - Ensure that all required APIs (Gmail, Sheets, Drive) are enabled in your Google Cloud console and properly authenticated within n8n.
   - Customize the CSS selectors if you need to target a different data layout or website structure.
   - Replace placeholder values like the Gmail recipient or spreadsheet ID with real ones in your configuration.
   
   ⏱️ Automation Without Limits
   
   This workflow is a great showcase of how you can build powerful, end-to-end automations without writing a single line of code. With n8n's modular nodes and integrations with robust third-party APIs like Dumpling AI and Gmail, you're equipped to handle a variety of data-driven tasks both efficiently and scalably.
   
   Whether you're gathering business intelligence or just organizing your personal digital library, automating web scraping and data delivery has never been easier.
   
   Start with this template, tweak it for your use case, and let automation do the heavy lifting for you. 📚💡
   
   — — — — — — — — —
   
   Ready to build your own version of this workflow? Try it in n8n today and watch your data collection take flight.
   
   — — — — — — — — —
   
   Let me know if you'd like me to generate a downloadable CSV template or a visual flowchart of this automation as well!

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.