Changelog

Latest developments

New features, improvements and fixes to Datablist.

September 2025

This month, we made two improvements to existing features

Let’s get in!

New Features and Improvements

Improvements

Multiple JSON Sources

You can now import from multiple remote JSON files at once in the data source: "Import from a remote CSV or JSON file".

Why we built it: Makes it easier to combine data from different JSON endpoints into a single dataset, saving you time and simplifying your data import workflows.

Form-Data Support for API Calls

We added "form-data" as a content type for API calls.

Why we built it: Expands your API integration capabilities, allowing you to work with endpoints that require form-data format for file uploads and multipart requests.

August 2025

Hi guys, we are still focused on website and distribution, so no huge announcements, just 2 improvements on existing features.

Here are the details!

New Features and Improvements

Improvements

Export Duplicate Groups CSV

When running the duplicate finder on multiple collections, you can now export a CSV file containing all duplicate groups found.

Why we built it: Makes it easier to review, share, and process duplicate data across collections, enabling better data cleanup workflows.

Collections Listing Hierarchy

The collections selector (used in duplicate finder with multi-collection and Import From Collection) now preserves the hierarchy structure from your sidebar.

Why we did it: Improves navigation and makes it easier to find the right collection by maintaining the familiar organizational structure you've set up.

That’s it for this month!

If you want us to build something for you, PITCH ME HERE 👈🏽

July 2025

Hello people! This month, we were focused on our website; so no highlights or crazy features, but we made some improvements to the CSV editor.

Here are the details!

New Features and Improvements

Improvements

Text Inputs - Auto-Sizing

The input field in filters, enrichments, sources, etc., now automatically expands as your text grows.

Why we did it: Improves the user experience and makes it easier to see what you're typing.

Filtering Operators - Text

You can now filter text columns using "longer than" and "shorter than" operators.

Why we built it: Makes it easier to segment and organize your data based on text length, enabling more precise filtering workflows.

Filtering Operators - Numbers

Number columns now support "contains" and "not contains" filter operators.

Why we built it: Provides more flexible filtering options for numeric data, allowing you to find specific patterns within numbers.

Calculation

The "Count Distinct Values" got two improvements:

  1. Calculation now includes empty values in the counter.
  2. You can click on the results to create a filter with the value you clicked on.

Why we did this: Helps you quickly identify and work with empty values in your data, making data quality checks faster and more efficient.

That’s it for July, see you next time!

If you want us to build something for you, PITCH ME HERE 👈🏽

June 2025

What's up, people! This month is special; we have a new data source, new enrichments, and a new data cleaning processor. Besides that, we made some improvements to existing features.

This is what happened in June:

  • NEW datasource: Find companies using {technology}
  • NEW enrichment: Identify technologies on a website
  • NEW data cleaning processor: Company Name Cleaner
  • Improved: Waterfall People Search source has now exclusion filters
  • Improved: Case changing works now also in reverse

Now to the details!

The Highlight of June

This month, we partnered we Wappalyzer to deliver the most accurate technographic data on the market.

Find Companies Using {Technology} Using Datablist

You can now create a list for websites using a particular technology using Datablist.

What It Does

When you use this search, you’re searching through Wappalyzer’s huge, accurate, and monthly refreshed database of companies and the technologies they’re using.

Why It Matters

Relevance is the best growth hack, and by using technographic data to find target accounts, you can write better targeted messages and close more deals.

We don’t encourage you to write “I saw you’re using Datablist…”. Be creative.

How To Use It
  1. Create a new collection
  2. Click See all sourcesFind Companies By Technologies
  3. Select technologies, use filters, and run!

New Features and Improvements

New Features

Identify Technologies on a Website

We created a technographic data enrichment

Why we built it: It helps filter accounts sourced from other sources

Company Name Cleaner

Now you can clean company names from legal forms such as GmbH, SARL, LLC., Corp., etc..

Why we built it: Makes messaging at scale look much more human

Improvements

Waterfall People Search

The Waterfall People Search source has now exclusion filters for: Job titles & company keywords

Why we did it: Makes creating targeted prospect lists easier

Case Changing

Case changing works now also in reverse

Why we did it: Gives you more control over your data

Add Templates in Data Source

We added pre-built templates to make it easier to get started with data sources.

Why we built it: Speeds up workflow setup and helps you discover best practices for common use cases.

Add Search and Filter in Template Listings

You can now search and filter through available templates to quickly find what you need.

How To Use It:

  • Go to EnrichTemplates
  • Find the right template
  • Voilà 🥖 🥨

Why we built it: Helps you find the right template more easily and faster

Multiple Google Queries in the Google Data Source

The Google Search source now supports multiple queries at once.

Pro-Tip: Use claude.ai to generate multiple queries using a pattern.

Why we built it: Enables batch searching and saves time when gathering data from multiple search terms.

That’s it for this month, friends!

If you want us to build something for you, PITCH ME HERE 👈🏽

May 2025

Hi folks! This month brings a bunch of new features, an improvement on one of our sources.

Here’s what we worked on in May:

  • NEW: Fetch data from other collections
  • NEW: Trash
  • NEW: Additional GPT models
  • NEW: AI Agent - Run on Collection Items
  • Improved: AI Agent - Site Scraper

Now to the details!

The Highlight of May

New Feature: Fetch Data From Other Collections

With this feature, automated workflows just got much easier, better to control, and more accurate

What It Does

This feature allows you to search and fetch matching/conflicting data from your collection across other collections using variables.

These variables could be:

  • Data from your collection ( value of {column 1})
  • Alphanumerical values (like text, numbers, etc.)
  • A mix of the above ( text; number; {column 1}; {column 2})
Why It Matters

At first, it didn’t seem so obvious to many. But just think about it for a second. If you can cross-match data with other collections, this opens up an entire universe of new possibilities.

With this feature, you could, for example:

  1. Make sure no prospect receives a message twice by looking them up in other collections first
  2. Create advanced filtering logic to segment and organize your data more effectively
  3. Decrease data enrichment costs by searching through other collections first
  4. Build advanced automation that references data across collections
  5. …. and more

How To Use It
  • Go EnrichAutomation Utils
  • Select Lookup Item in other collection
  • Define your search criteria and run!

New Features and Improvements

New Features

Trash

Your deleted collections are now stored in trash for 7 days before deletion.

You can use the trash to restore deleted collections with 2 mouse clicks!

Why we built it: Sometimes you delete data, but then after 2-3 hours you realize "Damn, I shouldn't have deleted that". This feature is to prevent such situations.

AI Agent - Run on collection items

Now you can run the AI agent as a source from a new collection using variables from other collections.

Why we built it: This is a funny story. We had a prospect asking for this. We built it in a few days. When we got back to them to let them test it, they had found another solution (we don't regret it).

Improvements

Pagination for Site scraper

The AI Agent - Site Scraper can now paginate pages up to 5000.

Why we did it: Makes scraping at scale much easier and enables you to scrape any directory, such as Yellow Pages, Zillow, etc., using Datablist

Related Guides:

Multi Collection Deduplication

When you deduplicate multiple collections, only identical items across all collections will be counted as duplicates. Duplicates within the collection will be skipped.

Why we did this: Enables more controlled cleaning workflows

That’s it for this month!

If you want us to build something for you, pitch me your feature on LinkedIn 👈🏽