This article provides a complete, practical walkthrough of the Manual Airtop Automation Triggered 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:  
   Automating Used Car Sale Estimates with n8n and Airtop API  
   
   Meta Description:  
   Discover how this end-to-end n8n workflow automates the process of obtaining purchase offers for used cars using the Airtop API and a structured webpage interaction. Perfect for vehicle resellers, dealerships, and automation enthusiasts.  
   
   Keywords:  
   n8n, used car automation, Airtop API, Peddle.com integration, web scraping automation, car offer workflow, car selling automation, intelligent bot workflow, VIN autofill, sell used car  
   
   Third-Party APIs Used:  
   - Airtop API (automates browser-based interaction with websites like Peddle.com)  
   
   —
   
   Article:  
   
   Automating the Online Car Selling Process Using n8n and Airtop API
   
   Selling a used car online often involves navigating complex web forms, multiple dropdowns, and popups before you get a price estimate. But what if you could automate the entire process to get an instant offer with zero manual input? Enter an n8n-powered workflow that simulates user interaction with Peddle.com—a popular platform for selling used cars—using the Airtop API. This guide outlines an effective end-to-end automation setup to streamline the offer-fetching process for a used car using its VIN and other relevant data points.
   
   The Problem
   
   Selling a car online requires entering a series of details about its condition, location, ownership status, and more. Each step varies with the platform used. For dealers, resellers, or users wanting to estimate car values at scale, manual entry becomes inefficient. This is where automation can dramatically improve not only accuracy but also speed.
   
   The Solution
   
   This n8n workflow titled “Sell a Used Car” navigates the entire process from loading Peddle’s offer page to submitting the VIN and iteratively completing every form step until a final offer is generated. The workflow integrates Airtop API to simulate human-readable interactions within a webpage, including typing into fields and clicking buttons.
   
   Here’s how it works, from start to finish:
   
   Step 1: Trigger and Setup  
   The process begins with a manual trigger in n8n called "When clicking 'Test workflow'." Following that, the "Variables" node initializes the car specifics. In this example, the information includes:
   
   - VIN: 1FTRF17253NB81140  
   - Mileage: 221,081  
   - Zip Code: 01952  
   - Condition: Perfect  
   - Ownership: Clean title  
   
   This data is assigned in a single string variable called car_description, which is used later for AI decision-making.
   
   Step 2: Browser Session Creation  
   Using the Airtop API, the workflow spins up a browser session through the “Create session” node and navigates to Peddle.com’s instant offer URL. It waits for the DOM to be fully loaded, ensuring all interactive elements are accessible.
   
   Step 3: Autofill VIN  
   One of the first actions mimics clicking the "Autofill with VIN" button. This speeds up the form-filling process by auto-detecting the vehicle model based on the VIN entered earlier in the Variables node.
   
   Step 4: Iterative Automation of Web Interactions  
   After each click or typed input, the workflow pauses for 7 seconds with the “Wait 7 secs” node to allow for page transitions and load times—a critical step in ensuring stable automation.
   
   Next, the “Take screenshot” node captures the current state of the web page, which is then analyzed.
   
   The AI-based “Think next action” node (powered by Airtop) takes the screenshot and renders a response based on the prompt. It determines whether to click a button, type an answer, or confirm if an offer has been received. This decision-making is parsed in the “Parse response” node.
   
   Step 5: Decision Tree via Switch  
   The path the workflow takes next depends on the nature of the AI's response. The "Switch" node inspects the extracted action and routes the workflow accordingly:
   
   - If the action is TYPE, it proceeds to the “Type” node to input text in a field.  
   - If the action is CLICK, it simulates a click with the “Click” node.  
   - If it has received a price estimate (action: PRICE), it routes directly to “Offer received.”
   
   Step 6: Capturing the Final Offer  
   Once a full price estimate is extracted, the “Offer received” node stores the offer price, offer ID, and page URL for reference or downstream workflows. This ends with a graceful session shutdown using the “Terminate session” node, ensuring resources are freed and browser instances closed.
   
   Why This Workflow Matters
   
   This no-code/low-code workflow is a powerful demonstration of how repetitive digital tasks can be automated intelligently. With the Airtop API and n8n:
   
   - Form-filling is human-like and adaptive.  
   - Dynamic decision-making (via AI/visual cues) replaces brittle logic.  
   - Screenshots ensure transparency and validation.  
   
   It is scalable for businesses needing real-time appraisals across multiple listings or for individual users looking for price estimates without repetitive browser work.
   
   Use Cases
   
   - Car dealerships estimating trade-in values  
   - Independent sellers verifying offers across markets  
   - Marketplaces automating vehicle listings and valuations  
   - Vehicle data scrapers for valuation models  
   
   Conclusion
   
   This workflow elegantly showcases how tools like n8n and Airtop can bring smart browser-level automation to life. From gathering a vehicle offer to structuring output data for downstream tasks, it significantly reduces manual work and improves speed and reliability. By coupling browser automation with prompt-based logic and a clear decision tree, users can automate complex interactions on any modern web app, not just Peddle.com.
   
   If you ever wanted a robotic co-pilot for repetitive online tasks—say hello to your new favorite horsepower. 🏁
   
   —  
   Interested in building similar workflows? Don’t forget to explore more on n8n.io and experiment with Airtop for browser-native automation.

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.