N8N No-Code Web Scraping Made Simple with AI-Powered Data Extraction

In this article, I’ll walk you through how to use N8N to automate data extraction, saving you time and effort. You’ll learn how to easily gather data, track trends, and stay ahead of the competition without any coding hassle!

Why Use N8N for Web Scraping?

Before diving into the practical steps of setting up N8N for web scraping, let’s explore why N8N is such a game-changer for automating data collection:

1. No-Code Platform: N8N allows users to build complex workflows using a visual interface. You simply drag and drop nodes to create a process, making it ideal for people without any programming knowledge.
2. Scalable Automation: Once your workflow is set up, you can scale it for multiple websites and data points, enabling continuous and efficient data extraction.
3. AI-Powered Web Scraping: Pairing N8N with AI-powered tools like Bright Data ensures that your data extraction is highly accurate, as the AI handles elements like dynamic content and bypasses anti-bot protections. Want a ready to use AI scraper? Check my list of the best AI scrapers.
4. Easy Integration: N8N integrates seamlessly with Bright Data API, making it easier to automate web scraping without dealing with complex configurations.

Setting Up N8N for Web Scraping: 2 Quick Steps

To start using N8N, you need two essential things:

1. N8N Account: You can sign up for a free N8N account, which offers a generous free tier to get you started.
2. Bright Data API Key: Bright Data is an AI-powered scraping tool that bypasses most website protections, including CAPTCHAs and other anti-bot mechanisms. It offers 1,000 free API calls to help you test and experiment with your workflow.

Let’s go through the process step-by-step.

Step 1: Create Your N8N Account

First, visit n8n.io and click on the “Get started for free” button. Once you’re signed up, you’ll be directed to the n8n workflow canvas, which is the heart of the automation process. This is where you will create your workflow by dragging and connecting nodes. No coding is necessary!

Step 2: Obtain Your Bright Data API Key

To extract data from websites, you will need Bright Data’s API key. After signing up on Bright Data’s website, navigate to your dashboard and copy the API key. This key allows you to access the scraping services and bypass obstacles like CAPTCHAs or other bot detection systems. You’ll need this API key in later steps.

Building Your First Web Scraping Workflow in N8N

With your accounts set up, it’s time to start building your web scraping automation.

Step 1: Start a New Workflow in N8N

Once you’re in your N8N dashboard, click “Start from scratch” to create a new workflow. This opens the workflow canvas, where you will add different nodes to define your scraping process.

Step 2: Add the Manual Trigger Node

The first node you’ll need is the “Manual Trigger” node. This will allow you to start the workflow when you’re ready manually. It’s helpful for testing because you have control over when the scraping begins. To add it, click the “ ” button and search for “Manual Trigger,” then drag it to the canvas.

Step 3: Add the HTTP Request Node

Next, add an “HTTP Request” node. This node is responsible for making the actual request to the web scraping API (Bright Data in this case). After connecting it to the Manual Trigger node, click on the HTTP Request node and configure it.

In the configuration settings, choose “GET” as the method, and for the URL, enter:

https://app.Bright Data.com/api/v1/

For authentication, choose “None.” You’ll need to add four query parameters to make the request work:

1. api_key: [YOUR_Bright Data_API_KEY]
2. url: The URL of the website you want to scrape (e.g., https://brightdata.com/blog).
3. ai_query: This is a description of the data you want Bright Data to extract, such as “Extract H1 headings and links to individual blog posts.”
4. ai_extract_rules: Here, you’ll define the specific data you want to extract. For example:

{
"h1_heading": {"type": "string", "description": "The main H1 heading from the blog page"},
"blog_post_links": {"type": "list", "description": "URLs that link to individual blog posts on this site"}
}

Step 4: Add the Code Node for Data Processing

Now, you’ll add a “Code” node to process the scraped data. This is where you can manipulate the data before it moves to the next stage.

Click on the Code node and add the following JavaScript:

// Extract the response from Bright Data
const response = $input.first().json;
const blogPostLinks = response.blog_post_links || [];
console.log("Main page H1:", response.h1_heading);
console.log(`Found ${blogPostLinks.length} blog post links`);
// Filter for actual blog post URLs and take the first 5
const linksToScrape = blogPostLinks
.filter(link => link.includes('/blog/') && !link.includes('#'))
.slice(0, 5);
console.log("Blog posts we'll scrape:", linksToScrape);
// Convert relative URLs to full URLs
return linksToScrape.map(link => {
const fullUrl = link.startsWith('http') ? link : `https://www.Bright Data.com${link}`;
return { url: fullUrl, type: 'blog_post' };
});

This code will extract the blog post links from the Bright Data response, filter out unnecessary links, and convert relative URLs to full URLs.

Step 5: Add the Second HTTP Request Node (The Spider)

To crawl the individual blog posts, add a second “HTTP Request” node after the Code node. This node will dynamically scrape the individual blog post URLs.

Configure this node as follows:

• Method: GET
• URL: https://app.brightdata.com/api/v1/

Query Parameters:

• api_key: [YOUR_Bright Data_API_KEY]
• url: {{ $json.url }} (This dynamically uses the URLs output by the Code node)
• ai_query: “Extract the main H1 heading from this blog post”
• ai_extract_rules: {“h1_title”: {“type”: “string”, “description”: “The main H1 heading of this blog post”}}

Step 6: Test Your Web Scraping Workflow

Now that your workflow is set up, it’s time to test it. Click the “Execute Workflow” button to start the scraping process. You’ll see the workflow progress through each step, extracting data from the main page and the individual blog posts.

Step 7: Analyzing Your Results

After running the workflow, click on each node to see the results:

• First HTTP Request: You’ll see the extracted H1 heading and links to individual blog posts.
• Second HTTP Request (Spider): You’ll see the H1 headings from the blog posts you scraped.

If everything is set up correctly, you’ll have successfully crawled multiple pages and extracted H1 headings using a no-code platform.

Final Words

By following this guide, you’ve built a powerful, scalable scraper that requires little maintenance. Plus, it’s customizable to fit different needs. Whether your project is big or small, N8N and Bright Data provide the flexibility and power to make web scraping simple and efficient.