Company Name to Domain

Step-by-Step Guide

Step 1: Sign Up And Upload Your Data

First, sign up for Datablist.com

Then, upload your CSV or Excel file containing your list of company names

Create a new collection and import your file. Datablist is a CSV editor for opening large CSV or Excel files with a list of items.

Step 2: Open The Find Company Domains Enrichment

1. Click Enrich in the top menu

2. Open the Companies tab

3. Select Find Company Domain from Company Name.

Step 3: Set The Workflow

Under Workflow, keep the default Use Companies Dataset + Fallback on Google. This is the recommended starting point for most lists. It uses two sources:

• Company datasets: Match company names to domains using stored company records and locations.
• Google fallback: Search names the datasets miss and score the results to select a matching company website.

A dataset match costs 1 credit per domain found. A Google lookup costs 2.5 credits, charged whether or not a domain comes back.

Set the Target Country if your list covers one country, or enable Define target country per item and map your country column if each row has its own country. This narrows dataset matches and sets the country for Google searches.

The dataset-only workflow is an alternative when you want to avoid Google lookup costs and can leave unmatched names unresolved. It costs 1 credit per successful dataset match.

Google Specific Settings

The default workflow works with the default Google settings for most lists. Datablist scores Google results using signals such as search position, root-domain status, and how well the result matches the company name. You can refine which results are accepted when reviewing your sample.

• Accept non root websites: By default, Datablist skips pages hosted below a domain the company does not own, such as directory.com/mycompany. Enable this if a company's real website is a page on a hosting platform, such as hostingplatform.com/mycompanypage. Root websites are still preferred when scoring results.

• Skip following domains: Datablist already excludes known directories and social networks, including Crunchbase, LinkedIn, and Facebook. Add comma-separated domains here if industry-specific directories appear in your results.

Start with the default settings. Adjust these options only when your sample results show a reason to change them.

Step 4: Map Your Company Name Column

1. Set the column that holds your company names as the Input Property

2. Click on Continue to outputs configuration

Step 5: Select Your Domain Outputs

1. Use the ⊕ icons or Add all 3 outputs to collection to add the outputs to your collection.

2. Click on Instant Run

Keep Domain Confidence so you can prioritize which matches to review after the run.

Datablist also creates a run-status column automatically. It shows whether each row is queued, running, or finished and keeps the completion time after the run.

Click the + icon to create a new property, or map an output to an existing property.

Confidence helps you prioritize review. It does not prove that a website belongs to the intended company. Check a sample of High results and review Low or Very Low results before using them downstream.

Step 6: Run The Enrichment In Bulk

Finally, configure your run settings by clicking on the chevron on the right side of the button. This will allow you to choose between the following options:

• Run on first 10 items: Good for checking results before committing

• Run on first 100 items: Useful if you want to validate larger samples

• Run on first {X} items: Lets you choose how many items you want to process

• Run on all view items: Process your entire list (or view if you've enabled filters)

Once you have chosen your preferred option, click Run on X items

Within minutes, you have a column of company domains sitting next to your company names, ready for the next enrichment.

Sort or filter on Domain Confidence, then send the Low and Very Low matches and rows without a domain to the AI Agent with extra context such as a city or an industry.

Step 7: Adjust Google Scoring Settings

If your sample contains directory pages or misses company websites hosted on platforms, adjust Accept non root websites or Skip following domains, then re-run only the rows you want to review.

Datablist caches Google search results for 48 hours. Within that window, you can change scoring settings and reuse the saved search results without performing the same live search again. A cached Google re-run costs 1 credit per row instead of 2.5 credits.

1. Select the rows using checkboxes or filter your view to the results you want to re-score.

2. Clear the output properties for those rows, or set Existing data rule to Overwrite existing data in output properties in the run settings.

3. Run the enrichment on the selected rows or choose Run on all view items for your filtered view.

To use saved Google results only, select the Google-only workflow and enable Only Process Google Cached Results. This skips dataset results and runs no new live Google searches. Leave it off for your initial run.

Review the updated domains and confidence values before using them downstream. Outside the 48-hour cache window, another Google lookup is charged at the live-search rate.

What Makes a Good Company Name Input?

Company domain lookup works best when the company name is specific enough to search.

Good inputs:

• Legal names, such as Datablist Inc.
• Commercial names, such as Datablist
• Names with a country or city when the brand is ambiguous
• Names cleaned from CRM exports before lookup

Weak inputs:

• Generic words, such as Marketing Agency
• Branch names without the parent company
• Names mixed with notes, phone numbers, or addresses

If your source file is messy, clean company names first, then run the domain finder.

Use Cases

• Enriching CRM - Imagine you're a sales manager with a list of potential leads (company names) but without their contact domains. By uploading the list to Datablist and using the database method, you can swiftly acquire the corresponding company domains, thereby streamlining your outreach efforts.

• Niche Companies Enrichment - Suppose you're a market researcher dealing with niche companies not covered by standard databases. Using the Google search method, you can still discover company domains, ensuring your dataset remains enriched and valuable.

• Email Finding - Use the domain as a precise company identifier when finding a person's work email. If you already have the person's name and company name, Datablist's Email Finder can resolve the likely domain internally, so a separate domain-finding run is optional.

• Lead Generation - A simple way to check if a company is worth being contacted is to check its website. Use this domain lookup tool to segment your lead lists.