Highlights
New: Website Status & Parked Domain Checker
A successful connection does not always mean a company website is still active: expired domains can redirect elsewhere or display a parked-domain page that looks technically online. Website Status & Parked Domain Checker separates those outcomes for every URL in your collection.
Run it on a list of company websites to classify each one as Online, Redirected, Parked, or Unreachable. You can also keep the HTTP status, final URL, page title, and error message, then filter dead or redirected domains before the list reaches an enrichment or outreach workflow.
Improvements
AI Agent - Site Scraper processes paginated lists one page at a time
Paginated pages require two separate jobs: extract every record on the current page, then identify where the next page starts. AI Agent - Site Scraper now keeps those steps separate, returns the immediate next-page URL and pagination details, and removes hidden page elements before extraction.
On a business directory, for example, the scraper collects the full visible result list from page 4, records page 5 as the next step, and avoids jumping ahead or treating hidden interface text as a business record. The source can then continue page by page until no next URL is found.
Add every enrichment output column in one click
Enrichments with many outputs used to make you create or map each destination column separately. The output step now offers Add all outputs to collection, with a matching shortcut for any outputs still missing after you configure some fields manually.
For example, if an enrichment returns a company name, website, industry, country, and description, one click prepares all five destination columns. See the enrichment configuration guide for input and output mapping. You can still review individual mappings, reuse existing columns, or ignore fields before starting the run.
Choose how much education history LinkedIn People Profile Scraper returns
LinkedIn People Profile Scraper now includes structured education history instead of stopping at professional experience and profile details. You can request one, three, or five education entries depending on how much background the workflow needs.
For each returned education, map the school, degree, field of study, start date, and end date into separate columns. A recruiting list, for example, can keep the latest school only, while alumni research can request a longer education history without parsing profile text by hand.
Duplicate a collection without rebuilding its enrichments
Duplicating a collection could copy its columns and rows, but saved enrichment configurations and their run-status columns had to be recreated on the copy. The duplicate dialog now includes Clone Enrichment Configurations.
Use it when a collection is your starting point for every campaign: copy the schema, saved enrichments, mappings, filters, schedule settings, and status columns into a fresh collection, with or without the existing rows. The new collection is ready for its next dataset instead of another configuration session.
Duplicates Finder recognizes subdomains on multi-part domains
The Ignore Subdomain option in Duplicates Finder could misread domains with country suffixes because it relied on the position of the dots. It now identifies the registrable domain correctly while preserving the URL path used for comparison.
For example, www.example.co.uk/contact and fr.example.co.uk/contact can match as the same website when Ignore Subdomain is enabled. Without the option, the two hostnames remain distinct, so you can still keep regional sites separate when that matters.
Edit your billing address and VAT number in Datablist
Paid accounts can now review and update their billing identity directly from the Billing page. The form includes the contact name, address lines, city, state, postal code, country, and VAT number, with required-field checks before saving.
If your company moves office or receives a new VAT number, you can correct those details without leaving Datablist or asking support to make the change. A success message confirms when the new billing address has been saved.
New template: Company enrichment from company name
Starting with company names alone normally means building several searches and deciding which result is official. The new Company enrichment from company name template prepares that research workflow for you and favors an empty result over an uncertain match.
Map a Company Name column and optionally add country, industry, or a short description to disambiguate similar businesses. The template can return the official website, LinkedIn company page, industry, company description, country, and a short explanation of where the result was found.
Search long property lists by column name
Managing columns in a wide collection used to mean scrolling through the complete property list. Manage properties now has a search field that filters column names as you type and shows a clear no-results state when nothing matches.
In a collection with dozens of enrichment outputs, search linkedin company to find the relevant columns before hiding, editing, or selecting them for deletion. Clear the search to return to the full draggable list and reorder columns as before.
See the number of unique values before reviewing the list
The distinct-values calculation could show the values and their frequencies, but it did not state the total number of unique values clearly. The results now open with a simple count before the detailed breakdown.
Run the calculation on a Country column and Datablist can tell you that the selection contains 18 unique countries before listing each country and its frequency. You get the answer immediately while keeping the detailed distribution available underneath.
See how to count distinct values in a CSV column and find company websites from names.