Datablist's Company Enrichment turns company domains, websites, and LinkedIn company URLs into clean company data.

Use it to enrich CSV or Excel files with company names, LinkedIn URLs, websites, industries, locations, employee ranges, and public LinkedIn profile data.

It is built for bulk work. Import a list, choose what you already have, pick the fields you want, then write the results back into your spreadsheet.

What Company Enrichment Does

Company Enrichment starts from one company identifier and returns structured company fields.

You can start from:

  • A domain, such as datablist.com
  • A website URL, such as https://www.datablist.com
  • A LinkedIn company URL, such as https://www.linkedin.com/company/datablist
  • A Sales Navigator company URL, when you use the LinkedIn data mode
  • A LinkedIn school URL, when you use the LinkedIn data mode

Datablist runs a company enrichment waterfall. For example, when you start from a domain and ask for LinkedIn data, Datablist first finds the matching LinkedIn company page, then enriches the company from public LinkedIn data.

Pricing

Company Enrichment uses Datablist credits.

  • Basic data: 1 credit per enriched company
  • LinkedIn data: 5 credits per enriched company
  • $20 credit package: 20,000 credits
  • 1,000 credits cost about $1

This makes domain-based company enrichment especially cheap. A list of 10,000 company domains costs about $10 in Basic data mode when all rows are enriched.

Cost examples:

  • 1,000 domains to basic company data: 1,000 credits, about $1
  • 10,000 domains to basic company data: 10,000 credits, about $10
  • 20,000 domains to basic company data: 20,000 credits, about $20
  • 1,000 LinkedIn company pages to LinkedIn data: 5,000 credits, about $5
  • 4,000 LinkedIn company pages to LinkedIn data: 20,000 credits, about $20

Use Basic data when you need firmographics at scale. Use LinkedIn data when you need richer profile fields and fresher public LinkedIn signals.

Workflows You Can Run

Domain to Basic Company Data

Use this workflow when your file has domains or websites and you need account fields for CRM cleanup, segmentation, or lead scoring.

Input examples:

  • datablist.com
  • https://www.datablist.com
  • acme.io

Outputs can include:

  • Company name
  • Clean LinkedIn company URL
  • Founded year
  • Industry
  • City
  • Region
  • Country
  • Employee count range
  • Enrichment status

This is the lowest-cost workflow: 1 credit per enriched company.

Domain to LinkedIn Company Data

Use this workflow when you have company websites but want public LinkedIn company page data.

Datablist first uses the domain to find the company profile, then enriches the row with LinkedIn data.

Outputs can include all Basic data fields, plus:

  • Company description
  • Slogan or tagline
  • LinkedIn follower count
  • LinkedIn internal company ID
  • Company specialities

This workflow is useful when your CRM has domains but lacks LinkedIn fields. It also helps before prospecting, because the LinkedIn company ID can be used in other workflows.

LinkedIn URL to Basic Company Data

Use this workflow when your source list comes from LinkedIn, Sales Navigator exports, scraping tools, or manual research, and you need standard company fields.

Input example:

  • https://www.linkedin.com/company/datablist

Basic mode returns fields such as website, industry, location, founded year, and employee range. It is useful when the LinkedIn page is your only company identifier.

Note: Basic mode expects regular LinkedIn company URLs. Use LinkedIn data mode for Sales Navigator URLs and school URLs.

LinkedIn URL to LinkedIn Company Data

Use this workflow when you already have LinkedIn company URLs and want richer company profiles.

It works with:

  • Regular LinkedIn company URLs
  • Sales Navigator company URLs
  • LinkedIn school URLs

This mode returns public LinkedIn fields such as description, tagline, follower count, company specialities, and LinkedIn internal ID.

Output Fields

Basic data fields:

  • Company name
  • Clean LinkedIn company URL
  • Website, when available
  • Founded year
  • Industry
  • Headquarters city
  • Headquarters region
  • Headquarters country
  • Employee count range
  • Enrichment status

LinkedIn data fields:

  • Company description
  • Slogan or tagline
  • LinkedIn follower count
  • LinkedIn internal ID
  • Company specialities

Keep the enrichment status output. It lets you filter invalid rows, not-found rows, and successful rows. You can fix the bad inputs and rerun only those records.

Use Cases

Clean CRM Company Records

Upload a CRM export with domains, run Basic data, and fill missing company names, industries, locations, and employee ranges. This helps clean account records before deduplication, routing, or reporting.

Segment Lead Lists

Use company size, industry, country, and region to build lead segments. For example, filter for software companies in the United States with 51-200 employees before launching an outbound campaign.

Prepare Account Scoring

Add firmographic fields before scoring accounts. Company size, industry, location, and LinkedIn profile data can feed a simple ICP score or a more advanced ranking model.

Turn Scraped Domains Into Accounts

If you scraped websites from Google Maps, directories, or job boards, run Company Enrichment next. It turns raw domains into usable account data.

For example:

  1. Run Google Places Search to collect business websites.
  2. Run Company Enrichment from the website column.
  3. Filter companies by industry, location, and employee range.
  4. Run Waterfall People Search or Waterfall Email Finder to find contacts.

Enrich LinkedIn or Sales Navigator Lists

If your list contains LinkedIn company pages, run LinkedIn data mode to add public company profile fields. This is useful after LinkedIn scraping, Sales Navigator exports, or manual company research.

Build Better Contact-Finding Workflows

Company enrichment works well before people search. First enrich accounts, then find the right people inside those accounts. The company fields help you decide which accounts deserve contact enrichment.

Step-by-Step Guide

Step 1: Import your company list

Upload your CSV or Excel file to Datablist. Your file should contain one row per company and at least one identifier column.

Good input columns include:

  • Company domain
  • Website URL
  • LinkedIn company URL
  • Sales Navigator company URL, for LinkedIn data mode

Step 2: Select Company Enrichment

Open the enrichment menu and select Company Enrichment.

Step 3: Choose your input type

Choose Use company domain when you have domains or websites.

Choose Use company LinkedIn Url when your source column contains LinkedIn company pages.

If you have both domain and LinkedIn URL, start with the domain for Basic data. Use LinkedIn URL when the domain is missing or when your source list comes from LinkedIn.

Step 4: Choose the result type

Choose Basic data for company name, LinkedIn URL, website, industry, location, employee range, and founded year.

Choose LinkedIn data when you also need description, tagline, follower count, LinkedIn ID, and specialities.

Step 5: Map outputs

Create output columns for the fields you need. At minimum, add:

  • Company name
  • LinkedIn company URL
  • Industry
  • Company size
  • Country
  • Enrichment status

For LinkedIn data, also add:

  • Description
  • Followers count
  • LinkedIn internal ID
  • Specialities

Step 6: Run a preview

Run a preview on a few rows. Check the returned fields and the enrichment status. If some rows are invalid, fix the input URLs or domains before running the full list.

Step 7: Run the full enrichment

Run the enrichment on the full collection. When it finishes, filter by status to review successful, not-found, and invalid rows.

Tips for Better Match Rates

  • Use clean domains like datablist.com, not long tracking URLs.
  • Remove personal email domains such as gmail.com before running company enrichment.
  • Use regular LinkedIn company URLs for Basic data mode.
  • Use LinkedIn data mode for Sales Navigator company URLs and school URLs.
  • Keep the status column so you can rerun only failed rows.

FAQ

Can I enrich companies from a CSV file?

Yes. Import a CSV or Excel file with company domains, website URLs, or LinkedIn company URLs, map the input column, and run Company Enrichment in bulk.

Should I use a domain or a LinkedIn company URL?

Use a domain when you have it. Domain enrichment is cheap and works well for company firmographics. Use a LinkedIn company URL when your list comes from LinkedIn or when the domain is missing.

What is the difference between Basic data and LinkedIn data?

Basic data returns fields such as company name, LinkedIn URL, website, industry, location, employee range, and founded year. LinkedIn data adds public LinkedIn profile fields such as description, slogan, follower count, internal LinkedIn ID, and specialities.

How much does it cost to enrich 10,000 companies?

With Basic data, 10,000 enriched companies cost 10,000 credits, about $10. With LinkedIn data, 10,000 enriched companies cost 50,000 credits, about $50.

What can I do with a $20 credit package?

A $20 credit package gives 20,000 credits. That covers up to 20,000 companies in Basic data mode, or up to 4,000 companies in LinkedIn data mode.

Does it work with Sales Navigator URLs?

Yes, use LinkedIn data mode for Sales Navigator company URLs. Basic data mode is designed for regular company domains and regular LinkedIn company URLs.

What does the status column mean?

The status tells you whether the row was enriched, not found, or invalid. Keep it so you can filter failed rows, fix bad inputs, and rerun only those records.