This article provides a complete, practical walkthrough of the Wait Limit Import 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:
   Convert Web Pages to Markdown & Extract Links with n8n and Firecrawl.dev
   
   Meta Description:
   Learn how to build an automated n8n workflow that scrapes multiple web pages, converts them to markdown, extracts links, and outputs structured content using the Firecrawl.dev API. Ideal for LLM training, SEO, and web content analysis.
   
   Keywords:
   n8n workflow, Firecrawl.dev, convert website to markdown, extract links from webpage, API web scraping, structured data, web automation, LLM input data, crawl web pages, content extraction
   
   Third-party APIs Used:
   - Firecrawl.dev API
   
   Article:
   
   Automating Web Page Conversion and Link Extraction with n8n and Firecrawl.dev
   
   n8n has steadily become one of the most powerful tools for users and organizations embracing no-code/low-code automation. From syncing data to automating third-party integrations, n8n allows you to construct task-specific workflows tailored to your use case.
   
   In this article, we'll walk through a robust n8n workflow that scrapes web pages, extracts structured markdown content and page links, and then outputs the results into a data pipeline — all powered by the Firecrawl.dev API. This makes it especially useful for preparing content for large language model (LLM) analysis, SEO research, or website documentation aggregation.
   
   We’ll cover:
   
   - A use case overview
   - Workflow setup and logic
   - Customization tips
   - API requirements
   
   Let’s dive into it.
   
   🎯 Use Case: Web to Markdown Conversion
   In various AI/ML and automation scenarios, raw HTML isn't ideal. It’s cluttered with markup, styles, and scripts. Markdown, on the other hand, is clean and readable—ideal for training LLMs or downstream processing.
   
   The use case here is straightforward:
   
   - Convert content from multiple web pages to markdown format
   - Extract all the outbound/inbound links on those pages
   - Output that clean data into your own system (e.g., Airtable, PostgreSQL)
   - Work within your server memory limit and Firecrawl.dev’s rate limit
   
   This is especially helpful when you need to ingest web documentation, technical articles, or blog content for AI models or indexing.
   
   🛠️ Technology Overview
   
   This workflow makes use of the following:
   
   - n8n — the workflow orchestration engine
   - Firecrawl.dev — the API that converts HTML content to structured markdown and extracts links
   
   All interactions with Firecrawl are done via POST requests with appropriate authorization headers using your API key.
   
   Workflow Summary:
   
   - Input: JSON-based list of URLs or direct connection to a database of links
   - Process:
     - Split URLs into batches (default 40 max, then 10 per sub-batch)
     - POST each URL to Firecrawl.dev
     - Extract markdown content, metadata (title/description), and links
   - Output: Feed the parsed markdown and links data to your destination
   
   🧩 Workflow Setup in Detail
   
   1. Manual Trigger and Data Setup
   The entry point is a Manual Trigger node. From there, URLs are either manually defined (as an array under Example fields from data source) or fetched from a connected data source—such as a database or spreadsheet. Your URLs must be stored under a column named “Page”.
   
   2. Data Preprocessing
   A Split Out node ensures each URL is treated individually. Next, a Limit node ensures the total number of items processed in memory doesn't exceed 40, which is a common threshold for smaller servers. A Split In Batches node further divides the list into batches of 10 — essential to stay within Firecrawl’s rate limit of 10 requests/minute.
   
   3. Firecrawl API Interaction
   The HTTP Request node sends a POST request to the Firecrawl.dev scrape endpoint. For each request, it includes:
   - The target URL (from your dataset)
   - Desired output formats — markdown and links
   - An Authorization header with your API key
   
   The response includes:
   - Metadata → title and description
   - Pure markdown content
   - Extracted links from the page
   
   4. Data Structuring
   Using a Set node (Markdown data and Links), the content is reformatted into clean fields:
   - title
   - description
   - markdown content
   - list of links
   
   This structured output is ready to be stored.
   
   5. Output to Destination
   The final step involves connecting to your own data sink — such as Airtable, Google Sheets, Notion, or a SQL database. Simply insert an integration node (not included in the base version) after the Set node and configure it as needed.
   
   ⚙️ Requirements and Setup Instructions
   
   Before you run the workflow:
   
   - Create an account with Firecrawl.dev
   - Obtain your API key
   - Add your API key in the Header as a Bearer token in the HTTP Request node
   - Ensure your input data includes a field named “Page” with one URL per line
   
   To test the workflow, click “Test Workflow” in n8n’s UI. You can begin with 1–2 sample URLs and scale up as needed.
   
   📌 Notes From the Creator
   
   This workflow includes smart sticky note annotations throughout, sharing useful reminders such as:
   - “40 items at a time seems to be the memory limit on my server”
   - “Respect API limits (10 requests per min)”
   - “Output the data to your own data source”
   
   These annotations are incredibly helpful when cloning and customizing the workflow.
   
   🛠️ Customization Advice
   
   - Connect any data source to feed URLs dynamically (e.g., Airtable, PostgreSQL, Google Sheets)
   - Add retry logic for handling failed requests dynamically
   - Adjust batch sizes depending on your server’s capabilities and Firecrawl’s API limits
   - Expand the workflow to include sentiment analysis, tagging, or categorization post-scrape
   
   🌐 Conclusion
   
   n8n provides a flexible, open-source automation environment, and when combined with Firecrawl.dev, becomes a powerful tool for structuring web content at scale. Whether you’re feeding an LLM pipeline, conducting SEO audits, or archiving clean semantic content, this workflow is a powerful starting point.
   
   With just a few nodes and some setup, you can process large volumes of web data without writing a single script.
   
   🧠 Created by Simon from automake.io – visit https://automake.io for more productivity superpowers.
   
   Stay automated. 🚀

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.