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Automated Website Lead Scraper AI Agent

Automatically extract contact information from company websites and update Google Sheets - scrape hundreds of leads without manual data entry.

Automated Website Lead Scraper AI Agent - Preview
Automated Website Lead Scraper AI Agent Preview
0+
Total Deployments
5 min
Setup Time
v1.0
Version

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Technology Partners

Required Integrations

This agent works seamlessly with these platforms to deliver powerful automation.

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Google Sheets

Read / Write data from / to Google Sheets

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Step by Step

Setup Tutorial

Follow this guide to get your agent up and running quickly.

What This Agent Does

This powerful automation agent streamlines the process of collecting contact information from company websites and organizing it directly into your Google Sheets. Instead of manually visiting dozens of websites, searching for contact pages, and copying information, this agent does all the heavy work for you—automatically navigating to each company's website, intelligently finding their contact page, and updating your spreadsheet with the results.

Key benefits include:

  • Save hours of manual research time: What would take 2-3 minutes per company manually now happens in seconds, automatically
  • Eliminate human error: No more typos or missed information when copying contact details
  • Scale your outreach efforts: Process hundreds of companies in the time it would take to manually research just a handful
  • Maintain organized records: All contact information flows directly into your structured spreadsheet

Perfect for:

  • Sales teams building prospect lists
  • Marketing professionals researching partnership opportunities
  • Recruiters gathering company contact information
  • Business development teams conducting market research
  • Anyone who needs to collect contact information from multiple websites at scale

Required Integrations

Google Sheets Integration

Why you need it: This integration allows the agent to read your list of company websites, search for existing data, and automatically update cells with the contact information it discovers. It's the central hub where all your data lives and gets organized.

Setup steps:

  1. Navigate to the Integrations page in your TaskAGI dashboard (found in the left sidebar)
  2. Locate "Google Sheets" in the available integrations list
  3. Click "Connect" to begin the authorization process
  4. Sign in with your Google account that has access to the spreadsheets you want to automate
  5. Grant permissions when prompted—TaskAGI needs read and write access to manage your sheet data
  6. Confirm the connection by checking for a green "Connected" status indicator

Important notes:

  • Use a Google account that has edit access to the spreadsheet you'll be working with
  • The connection uses OAuth 2.0, so you won't need to manually handle API keys
  • You can revoke access anytime through your Google Account settings
  • Multiple team members can connect their own Google accounts for collaborative workflows

Browser Automation Integration

Why you need it: This AI-powered integration acts as your virtual assistant, actually visiting websites, navigating through pages, and intelligently locating contact information just like a human would—but much faster and without getting tired.

Setup steps:

  1. Go to the Integrations section in TaskAGI
  2. Find "Browser Automation" in the integration catalog
  3. Click "Enable" to activate the browser automation capabilities
  4. No additional credentials required—this integration is built directly into TaskAGI's infrastructure
  5. Verify activation by checking that the status shows as "Active"

How it works:

  • Uses advanced AI to understand web page layouts and find relevant information
  • Handles different website structures automatically without custom coding
  • Respects website robots.txt files and rate limits
  • Runs in a secure, isolated browser environment

Configuration Steps

Step 1: Configure "Get Sheet from URL" Node

This node connects to your Google Sheet and retrieves all the data you need to process.

Configuration:

  • sheet_url parameter: Paste the complete URL of your Google Sheet (example: https://docs.google.com/spreadsheets/d/1aUnVPXTvmO...)
  • How to get your sheet URL: Open your Google Sheet in a browser and copy the entire URL from the address bar
  • Sheet structure requirements: Your sheet should have a column containing company website URLs that the agent will visit

Pro tip: Make sure your Google Sheet is not set to "View Only" for the connected Google account, or the agent won't be able to update cells later.

Step 2: Set Up the "Loop" Node

This node creates a processing loop that iterates through each row in your spreadsheet, allowing the agent to visit multiple websites sequentially.

Configuration:

  • Input data: Automatically receives 2576.rows (the rows from your Google Sheet)
  • What it does: Takes each row one at a time and passes it to the next node for processing
  • No manual configuration needed: This node automatically handles the iteration logic

Understanding the flow: Think of this like a conveyor belt—each company/website gets its turn being processed, ensuring nothing gets skipped.

Step 3: Configure "Perform Web Task (AI)" Node

This is where the magic happens! The AI agent visits each website and searches for contact information.

Configuration:

  • prompt parameter: This tells the AI what to do. The default prompt is: "Go to [[nodes.2577.result.0]]. Find the contact page and extract any contact information available."
  • Dynamic URL insertion: The [[nodes.2577.result.0]] placeholder automatically inserts the website URL from the current row being processed
  • sessionId: Receives 2578.sessionId to maintain browser context between operations

Customizing the prompt for better results:

  • Be specific about what information you want: "Find the contact page and extract email addresses, phone numbers, and physical addresses"
  • Add constraints if needed: "Focus on general inquiry contacts, not individual employee emails"
  • Specify format preferences: "Return the information in a structured format with labels"

Step 4: Configure "Search in Sheet" Node

This node checks your spreadsheet to find the correct row where results should be recorded.

Configuration:

  • sheet_url: Uses the same Google Sheet URL as Step 1
  • Search criteria: Uses data from the loop to locate the exact row being processed
  • Purpose: Ensures the contact information gets written to the correct company's row

Why this matters: Without this step, the agent wouldn't know which row to update with the discovered contact information.

Step 5: Configure "Update Cell" Node

The final step writes the discovered contact information back to your spreadsheet.

Configuration:

  • sheet_url: Same Google Sheet URL used throughout the workflow
  • Target cell: Determined by the search results from Step 4 (2579.found)
  • Value to write: The contact information extracted by the AI browser automation
  • Update mode: Overwrites existing cell content with new data

Best practices:

  • Designate a specific column in your sheet for "Contact Information" so you know where results will appear
  • Consider adding a "Last Updated" column to track when information was collected
  • Keep a backup of your sheet before running large batches

Testing Your Agent

Running Your First Test

  1. Start with a small dataset: Create a test sheet with just 3-5 company websites before processing hundreds
  2. Click "Run Workflow" in the TaskAGI interface
  3. Monitor the execution in real-time using the workflow execution panel
  4. Watch for progress indicators as each node completes

Verification Checklist

After the Loop node:

  • ✓ Verify the loop is processing the correct number of rows
  • ✓ Check that website URLs are being extracted properly

After the Perform Web Task node:

  • ✓ Confirm the AI is successfully navigating to websites
  • ✓ Review the extracted contact information for accuracy
  • ✓ Ensure the AI is finding actual contact pages (not 404 errors)

After the Update Cell node:

  • ✓ Open your Google Sheet and verify new data appears in the correct rows
  • ✓ Check that formatting is preserved
  • ✓ Confirm no data was accidentally overwritten

Expected Results

Success looks like:

  • Each company row in your sheet now contains contact information in the designated column
  • The information is relevant and accurate (email addresses, phone numbers, contact forms)
  • No error messages in the workflow execution log
  • Processing time of approximately 10-30 seconds per website

Troubleshooting

"Permission Denied" Error on Google Sheets

Cause: The connected Google account doesn't have edit access to the spreadsheet.

Solution:

  • Open the Google Sheet and check sharing settings
  • Ensure the connected Google account has "Editor" permissions
  • Try disconnecting and reconnecting the Google Sheets integration
  • Verify you're using the correct Google account in TaskAGI

Browser Automation Can't Find Contact Information

Cause: The AI might be encountering unusual website structures or the contact page is hidden behind navigation.

Solutions:

  • Refine your prompt: Add more specific instructions like "Look in the footer, header, or main navigation for 'Contact', 'About', or 'Get in Touch' links"
  • Check the website manually: Some sites may not have traditional contact pages
  • Add fallback instructions: "If no contact page exists, look for email addresses in the footer or about page"
  • Increase timeout settings: Some websites load slowly and need more time

Loop Processing Stops Prematurely

Cause: An error in one iteration might halt the entire loop.

Solutions:

  • Enable "Continue on Error" in the loop node settings
  • Add error handling to catch and log failures without stopping
  • Review the execution log to identify which website caused the issue
  • Remove or fix problematic URLs in your spreadsheet

Incorrect Data Written to Wrong Rows

Cause: The Search in Sheet node isn't finding the correct matching row.

Solutions:

  • Verify your sheet has a unique identifier column (like company name or URL)
  • Check that the search criteria in the Search in Sheet node matches your sheet structure
  • Ensure there are no duplicate entries in your sheet that could cause confusion
  • Add a unique ID column if your data doesn't have natural unique identifiers

Rate Limiting or Blocked Requests

Cause: Visiting too many websites too quickly might trigger anti-bot protections.

Solutions:

  • Add delays between loop iterations (configure in loop settings)
  • Process websites in smaller batches
  • Respect robots.txt files and website terms of service
  • Consider spreading execution across different times of day

Next Steps

Optimize Your Workflow

After successful setup, enhance your agent with these improvements:

  • Add data validation: Insert a node that checks if extracted information contains valid email formats or phone number patterns
  • Implement deduplication: Add logic to skip websites that already have contact information in your sheet
  • Create notification alerts: Set up email notifications when the workflow completes or encounters errors
  • Schedule regular runs: Use TaskAGI's scheduling feature to automatically refresh contact information monthly

Scale Your Operations

Ready to process more data? Consider these strategies:

  • Batch processing: Divide large spreadsheets into manageable chunks of 50-100 rows
  • Parallel execution: If your TaskAGI plan supports it, run multiple instances simultaneously
  • Quality scoring: Add a node that rates the completeness of contact information found
  • Export options: Connect additional nodes to export results to your CRM or email marketing platform

Advanced Usage Tips

Take your automation to the next level:

  • Multi-language support: Modify the AI prompt to handle websites in different languages
  • Social media extraction: Expand the prompt to also capture LinkedIn, Twitter, or Facebook links
  • Competitive intelligence: Add nodes that extract additional information like company size, industry, or recent news
  • Data enrichment: Combine this workflow with other APIs to append additional company data
  • Custom formatting: Add a transformation node to structure the extracted data in specific formats (JSON, CSV, etc.)

Remember: Start simple, test thoroughly, and gradually add complexity as you become comfortable with the workflow. The beauty of TaskAGI is that you can always refine and improve your automation over time!