🎣 Enrich seller data with email & domain lookup using Bright Data & Google Search

⚡ 486 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

🔍 Email Lookup with Google Search from Postgres Database

This N8N workflow is designed to enrich seller data stored in a Postgres database by performing automated Google search lookups. It uses Bright Data’s Web Unlocker to bypass search result restrictions and the HTML Extract node to parse and extract relevant information from webpages.

The main purpose of this workflow is to discover missing contact details, company domains, and secondary emails for businesses or sellers based on existing database entries.

🎯 Problem This Workflow Solves

Manually searching for missing seller or business details—like secondary emails, websites, or domain names—can be time-consuming and inefficient, especially for large datasets. This workflow automates the search and data enrichment process, significantly reducing manual effort while improving the quality and completeness of your seller database.

✅ Prerequisites

Before using this template, make sure the following requirements are met:

• ✔️ A Bright Data account with access to the Web Unlocker or Amazon Scraper API
• ✔️ A valid Bright Data API key
• ✔️ An active PostgreSQL database with seller data
• ✔️ N8N self-hosted instance (recommended for using community nodes like n8n-nodes-brightdata)
• ✔️ Installed n8n-nodes-brightdata package (custom node for Bright Data integration)

⚙️ Setup Instructions

Step 1: Prepare Your Postgres Table

Create a table in Postgres with the following structure (you can adjust field names if needed):

CREATE TABLE sellers (
  seller_id SERIAL PRIMARY KEY,
  seller_name TEXT,
  primary_email TEXT,
  company_info TEXT,
  trade_name TEXT,
  business_address TEXT,
  coc_number TEXT,
  vat_number TEXT,
  commercial_register TEXT,
  secondary_email TEXT,
  domain TEXT,
  seller_slug TEXT,
  source TEXT
);

Step 2: Setup Web Unlocker on Bright Data

1. Go to your Bright Data dashboard.
2. Navigate to Proxies & Scraping → Web Unlocker.
3. Create a new zone, selecting Web Unlocker API under Scraping Solutions.
4. Whitelist your server IP if required.

Step 3: Generate API Key

1. In the Bright Data dashboard, go to the API section.
2. Generate a new API key.
3. In N8N, create HTTP Request Credentials using Bearer Authentication with the API key.

Step 4: Install the Bright Data Node in N8N

1. In your N8N self-hosted instance, go to Settings → Community Nodes.
2. Search and install n8n-nodes-brightdata.

🔄 Workflow Functionality

• 🔁 Trigger: Can be set to run on a schedule (e.g., daily) or manually.
• 📥 Read: Fetches seller records from the Postgres table.
• 🌐 Search: Uses Bright Data to perform a Google search based on seller_name, company_info, or trade_name.
• 🧾 Extract: Parses the HTML content using the HTML Extract node to identify potential websites and email addresses.
• 📝 Update: Writes enriched data (like domain or secondary_email) back to the Postgres table.

💡 Use Cases

• Lead enrichment for e-commerce sellers
• Domain and contact info discovery for B2B databases
• Email and web domain verification for CRM systems
• Market research automation

🛠️ Customization Tips

• You can enhance the parsing logic in the HTML Extract node to look for phone numbers, LinkedIn profiles, or social media links.
• Modify the search query logic to include additional parameters like location or industry for more refined results.
• Integrate additional APIs (e.g., Hunter.io, Clearbit) for email validation or social profile enrichment.
• Add filtering to skip entries that already have domain or secondary_email.

🔗 Nodes Used

Postgres, Schedule Trigger, Filter

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup