Overview

Manually researching and updating company profiles is slow and error-prone. This workflow automates enrichment by scraping websites and extracting structured business data directly into Google Sheets, eliminating tedious manual entry and ensuring consistent, actionable corporate insights.

corporate data enrichment assistant
Generated by AI

The Impact

  • Save Time. Automate data gathering and analysis for hundreds of companies without manual research.
  • Improve Accuracy. Extract structured business info like offers, ICP, and models directly from websites.
  • Ensure Consistency. Standardize headers and data format for seamless spreadsheet updates.
  • Scale Effortlessly. Loop through company lists to enrich data batch-wise with minimal setup.

Who This Is For

  • Sales Teams enriching lead lists with accurate business context and ICPs.
  • Investment Analysts accelerating due diligence with rapid business model summaries.
  • Data Ops Managers maintaining up-to-date competitor and product databases.
  • Product Managers compiling structured market intelligence for decision support.

How It Works

1
  1. Generate and Update Headers
  2. Create a standardized header row in Google Sheets to align data columns for enrichment.
2
  1. Fetch and Parse Company List
  2. Read existing company names and URLs from the sheet and convert rows into structured objects with row tracking.
3
  1. Scrape Website Content
  2. Access each company website, converting content into analyzable text for AI processing.
4
  1. Analyze with AI and Parse Results
  2. Call AI to extract business area, offers, value proposition, business model, ICP, and more in a strict JSON format, then parse for spreadsheet-ready rows.
5
  1. Update Google Sheets
  2. Write enriched company data back to their original rows, completing automated profile enrichment.

What You'll Need

Before using this template, make sure you have:

  • A Google Sheets spreadsheet with company names and websites listed, and headers set for enrichment fields.
  • Google Sheets OAuth credentials configured to allow read/write access to your spreadsheet.
  • The Spreadsheet ID (from the Google Sheets URL) and the correct worksheet name (default "Sheet1").

How to Use

  1. Step 1. Prepare Your Spreadsheet
  2. Set up headers in row 1: Company, Website, Business area, Offer, Value proposition, Business Model, ICP, Additional information. Fill rows 2+ with company names and URLs only.

  3. Step 2. Configure Credentials
  4. Set up OAuth credentials to authorize the workflow to access and modify your Google Sheet.

  5. Step 3. Input Parameters
  6. Enter your Spreadsheet ID and sheet name into the workflow parameters.

  7. Step 4. Run the Workflow
  8. The workflow will generate headers, fetch companies, scrape websites, analyze with AI, and update the sheet row-by-row.

  9. Step 5. Verify Results
  10. Check your Google Sheet for enriched company data populating the corresponding columns.

FAQs

How does the workflow handle missing or incomplete website data?
The AI flags insufficient details in its output and suggests actions, which are logged in the Additional information column for review.
Can I customize the headers or add more fields?
Headers are standardized to match AI outputs. Customizing beyond the preset columns requires workflow modification to maintain data integrity.
What if a website URL is invalid or inaccessible?
The scraper will return an error or empty content, and AI analysis will note the issue, ensuring no erroneous data overwrites your sheet.
Is the AI analysis multilingual?
Yes, the AI responds in English regardless of the website language, extracting core business info consistently.
How does the workflow ensure data is written back to the correct rows?
Each company object retains its original row number, which the workflow uses to update the exact row in Google Sheets, preventing data misalignment.
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