This article provides a complete, practical walkthrough of the Splitout Filter Automation 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**:  
   Autonomous AI Crawler in n8n: A No-Code Workflow to Extract Social Media Links from Any Website
   
   **Meta Description**:  
   Leverage the power of AI and no-code automation with this n8n workflow that autonomously crawls websites, extracts all social media profile links, and stores them into a database—powered by OpenAI, Supabase, and advanced scraping tools.
   
   **Keywords**:  
   n8n workflow, AI web crawler, no-code automation, OpenAI GPT-4o, Supabase integration, website scraping, social media link extraction, URL extractor, text scraper, autonomous data mining, LangChain, OpenAI automation tool
   
   ---
   
   ## Autonomous AI Crawler in n8n: Extracting Social Media Links at Scale
   
   In the age of automation, data collection and enrichment no longer requires scraping expertise or custom scripts. This article explores a powerful and fully no-code n8n workflow designed to autonomously crawl websites and extract social media profile links, powered by OpenAI’s GPT-4o and n8n’s integration capabilities.
   
   We’ll walk you through how this workflow retrieves company records, scrapes their websites, identifies relevant social links (like LinkedIn, Instagram, Twitter, etc.), and stores them directly into a Supabase database—all without writing a single line of code.
   
   ---
   
   ### 🛠 What Does the Workflow Do?
   
   This n8n workflow acts as an intelligent, no-code AI crawler that operates in sequential steps:
   
   1. **Retrieve Companies from a Database**: Companies with name and website data are pulled from a Supabase table (`companies_input`).
   2. **Initiate a Crawling Agent**: A custom LangChain agent powered by GPT-4o from OpenAI is tasked with extracting all social profile links from each company's website.
   3. **Use Two Custom Scraping Tools**:
      - **Text Retrieval Tool**: Fetches and parses entire website content (HTML converted to Markdown).
      - **URL Retrieval Tool**: Scans all links from a website, cleans and filters them down, and reconstructs full URLs where necessary.
   4. **AI Analysis & Structuring**: The AI model processes the gathered content and organizes social media links into a structured JSON format.
   5. **Store Results in Supabase**: Merged data—including company name, website, and social media links—is pushed into `companies_output`, another Supabase table.
   
   ---
   
   ### 🤖 How It Works – Under the Hood
   
   The magic of this workflow lies in its harmonious blend of AI reasoning, content scraping, and data processing. Here's a step-by-step breakdown:
   
   #### 1. Get Company Records
   
   A Supabase `getAll` query retrieves a list of companies (with their websites) to process. This can be replaced with any modern database using n8n's wide integration ecosystem.
   
   #### 2. Crawl the Website Using GPT-4o
   
   OpenAI's GPT-4o serves as the brain for this task. Wrapped in a LangChain agent (`@n8n/n8n-nodes-langchain.agent`), the model receives an instruction to extract social media profiles from each website. It can call two auxiliary tools:
   
   - `text_retrieval_tool`: Pulls and summarizes all textual content from the website.
   - `url_retrieval_tool`: Extracts and cleans up all URLs from anchor tags.
   
   Using these tools, GPT-4o can explore a website much like a human researcher—reading text and following links to extract relevant social media profiles.
   
   #### 3. Detect & Clean URLs
   
   The URL extraction tool performs advanced logic:
   - Adds missing HTTP/HTTPS protocols.
   - Validates URL formats.
   - Removes empty and duplicate entries.
   - Normalizes relative URLs to full paths.
   
   These refined links are crucial in helping AI identify social media destinations accurately.
   
   #### 4. AI Parses & Structures Output
   
   Once GPT-4o gathers relevant links, its output is parsed using a strict JSON schema via the Structured Output Parser node. Only well-formatted, valid JSON objects containing platform names and matching URLs are allowed (e.g., `platform: LinkedIn, urls: [link1, link2]`).
   
   #### 5. Save to Database
   
   The final structured data is merged with the original metadata and inserted back into Supabase using `Insert new row`, storing the enriched results in `companies_output`.
   
   ---
   
   ### 🧰 Third-Party APIs Used
   
   1. **OpenAI (GPT-4o via OpenAI Chat Model)**  
      - Leveraged for intelligent agent-driven content parsing and link classification.
      - Model: `gpt-4o`.
     
   2. **Supabase**  
      - Used for both input and output data storage.
      - Two tables: `companies_input` and `companies_output`.
   
   ---
   
   ### 🧠 Why This Workflow Stands Out
   
   - ✅ **No Code Needed**: Everything is built using n8n visual nodes.
   - 🤖 **AI-Powered Reasoning**: GPT-4o intelligently navigates text and URL structures to identify meaningful social profile links.
   - 🔗 **Link Reconstruction**: Smart logic reconstructs relative paths into usable full URLs.
   - 📄 **Structured Output**: JSON schema ensures clean, predictable data is written to your database.
   - ⚙️ **Fully Automated**: Once triggered, the workflow continuously processes entries without manual intervention.
   
   ---
   
   ### 💡 Use Cases
   
   - Sales intelligence: Enrich CRM data with public-facing links.
   - Recruitment: Track companies’ career pages and LinkedIn accounts.
   - Market research: Monitor competitors’ online presence.
   - Startup curation: Scrape social presence for early-stage company directories.
   
   ---
   
   ### 🎓 Final Thoughts
   
   This workflow exemplifies the power of combining no-code tools, AI reasoning, and database integration to create intelligent, scalable solutions. Whether for lead generation, data enrichment, or social footprint mapping, n8n and OpenAI deliver a production-grade crawler—without writing complex code.
   
   Want to learn more? Watch the full tutorial on [Workfloows YouTube Channel](https://www.youtube.com/@workfloows) and grab the pre-built template to start right away.
   
   ---
   
   **🔗 Subscribe to the [Workfloows Newsletter](https://workfloows.com/)** to stay updated on the latest no-code AI tools, templates, and tutorials.

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.