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Bulk Author Finder

Discover bloggers and journalists' email addresses effortlessly using Bulk Author Finder.

Tomba.io Team avatar
Written by Tomba.io Team
Updated this week

Author Finder: Bulk Email Discovery from Articles

The Bulk Author Finder tool helps you save time by identifying and verifying professional email addresses from blog posts, news articles, and other online publications.


How to Use the Bulk Author Finder

  1. Navigate to the Bulks page

  2. Click on Author Finder

  3. Select + New Bulk, name your task

  4. Upload your file

📄 Accepted file types: .CSV or .TXT
📌 Your file should contain only URLs of online articles, one per row.

Once uploaded, Tomba will analyze each article and return verified email addresses using domain-based patterns and available public sources.


Managing Your Uploaded Tasks

You can easily manage your bulk author tasks with the following actions:

  • Sort: Organize tasks by Title, Status, or Date

  • Search: Filter tasks by name

  • Rename: Edit the name of any task

  • Delete: Remove any task via dropdown options


Find Author Emails via Google Sheets Add-on

Tomba for Google Sheets allows you to enrich article URLs directly from your spreadsheet.

  1. Open your Google Sheet with article URLs

  2. Select the Author tab

  3. Match the column containing your article URLs

  4. Check the “My table has headers” box if needed

  5. Click “Find email addresses”

📌 Tomba will automatically populate:

  • The author's email address

  • A confidence score

  • A status column, indicating:

    • OK: Email found

    • No results: No email found

    • ⚠️ Error: Missing required data (e.g., article URL)


Find Author Emails via Excel Add-in

Using Tomba’s Microsoft Excel Add-in, you can enrich your article list directly from Excel:

  1. Open your Excel file

  2. Go to the Author tab

  3. Match the column with article URLs

  4. Click “Find email addresses”

Tomba will fill the results with:

  • Email address

  • Confidence score

  • Verification status


Automate author email discovery from article URLs using Tomba’s API:

from tomba.client import Client
from tomba.services.finder import Finder

# Initialize the Tomba client
client = Client()
client.set_key('ta_xxxx').set_secret('ts_xxxx')

# Initialize the Finder service
finder = Finder(client)

# Find the author's email from a blog post URL
result = finder.author_finder('https://clearbit.com/blog/company-name-to-domain-api')

Available SDKs

Tomba offers official SDKs for many popular programming languages, including:
PHP, Python, C#, Go, Rust, Ruby, Dart, JavaScript, R, Lua, Elixir, and more.


Need Help?

Got questions? Contact our support team we’re here to help!

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