This article provides a complete, practical walkthrough of the Manual Brandfetch Import 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 Brand Data Collection with n8n: How to Fetch Company Logos and Info into Airtable
   
   Meta Description:
   Discover how to automatically collect company logos, icons, and brand data using Brandfetch and n8n, and store the results in Airtable. Streamline your brand database with this low-code workflow.
   
   Keywords:
   n8n, Brandfetch, Airtable, automation, company logos, brand API, low-code tools, logos to Airtable, workflow automation, branding data collection
   
   Third-party APIs Used:
   - Brandfetch API (to fetch company branding and profile data)
   - Airtable API (to store the retrieved data)
   
   Article:
   
   —
   Automating Brand Data Collection with n8n: How to Fetch Company Logos and Info into Airtable
   —
   
   In today’s fast-paced digital environment, accessing and managing up-to-date brand data — like logos, icons, and company info — can be a repetitive and time-consuming task. Whether you're a marketer, UI designer, or building a brand repository, manually pulling brand assets is far from efficient. Luckily, with low-code automation platforms like n8n, you can streamline this process with just a few drag-and-drop nodes.
   
   In this article, we’ll walk you through an example n8n workflow that automates the process of fetching branding info for any company from Brandfetch and storing it neatly in an Airtable base for easy management and access.
   
   —
   Why Automate Brand Data Collection?
   —
   
   Let’s face it: Copy-pasting logo files, searching brand colors and names, and organizing them manually isn’t scalable. Automating this process frees up your time and reduces the chance of using outdated or incorrect brand assets. It also allows other departments — like sales or design — to have a constantly updated brand library.
   
   —
   Overview of the Workflow
   —
   
   This particular n8n workflow titled “Get the logo, icon, and information of a company and store it in Airtable” consists of five main nodes:
   
   1. Manual Trigger
   2. Brandfetch (Initial Call)
   3. Brandfetch (Company Info)
   4. Set (Selects and formats the desired results)
   5. Airtable (Stores the data)
   
   Let’s break it down step-by-step.
   
   —
   Step 1: Triggering the Workflow
   —
   
   The workflow starts with the “Manual Trigger” node. In typical use cases, this could be replaced with a Webhook, Schedule Trigger, or a UI command (e.g., upon adding a domain to a form). But in this scenario, we manually trigger the workflow by clicking “Execute” in the n8n UI.
   
   —
   Step 2: Fetch Brand Data from Brandfetch
   —
   
   Once triggered, the flow immediately connects to Brandfetch, a popular API that aggregates branding data about any publicly available company by domain (e.g., n8n.io, apple.com).
   
   The first Brandfetch node uses the domain parameter to fetch visual branding elements like icons and logos.
   
   {
     "domain": "n8n.io"
   }
   
   This step returns a structured JSON object containing URLs to company icons and logos, brand colors, fonts, and more.
   
   —
   Step 3: Get Company Info
   —
   
   After collecting assets from the initial Brandfetch response, the workflow sends another request to Brandfetch using the “company” operation. This extracts detailed information like the company name and description. Here, n8n makes use of dynamic expressions to reuse the domain from the previous Brandfetch step automatically.
   
   Domain input:
   {{$node["Brandfetch"].parameter["domain"]}}
   
   Operation:
   company
   
   —
   Step 4: Set and Format Output Data
   —
   
   Once the company data and graphics have been collected, the “Set” node restructures the resulting data into a simplified format tailored to Airtable’s schema. Here, the following fields are selected:
   
   - Name — Company name from the Brandfetch company node
   - Icon URL — Direct image URL to the brand icon
   - Logo URL — Direct image URL to the main brand logo
   
   This makes the data both easy to store and retrieve.
   
   —
   Step 5: Store it in Airtable
   —
   
   Finally, the formatted data is sent to Airtable using the Airtable node. It uses the append operation to insert a new entry into “Table 1” under a specific Airtable Base (identified by app ID: app5cseR9ZKgtU3dc).
   
   Your Airtable spreadsheet then serves as an updated repository every time the workflow runs. Add another company domain, click Execute, and you’re done.
   
   —
   What You’ll Need to Run This Workflow
   —
   
   To make this setup work from end-to-end, you’ll need:
   
   1. An n8n instance (desktop app, hosted, or self-hosted).
   2. A Brandfetch API key added as credentials in n8n.
   3. An Airtable account and an API key, as well as the correct base and table set up.
   
   Once your API credentials for both services are securely added to n8n, you can customize the workflow to pull data from any domain by altering the domain input parameter manually or dynamically (e.g., from a form or spreadsheet).
   
   —
   Use Cases and Customization Ideas
   —
   
   ✅ Building a central brand repository for your design team  
   ✅ Enriching CRM tools with company-brand data  
   ✅ Automatically populating brand slides or docs  
   ✅ Validating partner logos and keeping them up to date  
   
   You can also extend the functionality by:
   
   - Adding a Webhook to run the workflow when a form is submitted
   - Using filters to exclude domains missing logo or icon data
   - Scheduling the workflow weekly to update company entries
   
   —
   Conclusion
   —
   
   With just a few nodes, n8n allows you to build an end-to-end workflow for fetching and storing vital brand data. By combining the powerful Brandfetch API with Airtable’s user-friendly database system, you can automate a previously manual and error-prone task — keeping your brand assets up-to-date, organized, and always ready to use.
   
   Whether you're organizing a design system, managing brand partnerships, or building a B2B directory, this workflow lays the foundation for scalable, automated brand management.
   
   Ready to take your n8n skills to the next level? Start customizing this workflow and make it your own!

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.