Data Explorer
With the Data explorer, you can access our Base datasets through a simple search interface: apply filters based on company, employee or job data fields, view the number of matching records instantly, and download your results in JSONL or CSV formats.
This tool makes it easy to define your criteria using main fields from our datasets, see how many entries meet your requirements, and export the data you need – whether you’re after recent snapshots (CSV) or full historical detail (JSONL).
Filters
The search queries consist of filters. These filters are the specific requirements that profiles need to meet, such as country is United States or job title is programmer. You can use multiple data records accessible via our Employee, Company, or Jobs API as filters. All available filters are listed in the dropdown menu of the Select filters and enter values.
Each search tool filter comprises three parts: the field, the operator, and the value. The operator is always equal. In the visual representation below, every row of input corresponds to a single filter within the query.
Please note that when you’re using the search tool, all filters are connected by the AND operation during the query evaluation process. This means that for a profile to match the query, it must satisfy all values and filters.
Building a search query
Select filters
In the Select filters and enter values section, you can add any filter from the dropdown menu to find relevant data records. To add more filters to the query, simply click the Add filter button. For example: country, job_title, …
Conversely, you can remove the existing filters by clicking the red X button that appears next to each filter when more than one has been added.
Enter/Select values
Filters allow you to choose predefined values from the list or enter unique values of the profile requirements defined by filters, therefore, follow the directions in the value field.
If the filter is
country, then the value must be a country name, such as United States, which can be selected from the list. If there are multiple values, it can be a list of country names, such as France, Germany, United States.If the filter is
keywords, you can add one or more keywords of your choice, separated by commas. Here are some examples: United States, Data…
If the result list does not fulfill your requirements, you can adjust the search and try inserting multiple values after running the query.

Execute search
Once you have selected all filters and values, click Search. After the search query is executed, you will be able to see the number of matches in our database based on selected parameters, for example:

The Generated data sample shows a sample profile (also referred to as a data record) that matches your search criteria.
Review a sample company profile and see if it fits your purpose:

Downloading data
When you decide that your request includes the data you need, you can download it. Click the Download data button, and you will see a summary of your request, how many records you have included, how many credits it will take to retrieve the information, and your balance after you download the data.
If you have enough credits to download all relevant data records based on your search criteria, proceed further. If you don’t have enough credits, you have two options:
Download some of the data records that match your search criteria using the remaining credits;
Buy more credits to get all data records that match your search criteria.
Get the data
Click the Generate download link button, we will start generating a direct download link for you. It can take up to 10 minutes. When the link is ready, we will notify you by email, and the link will be available on the home page next to your query for 14 days.
On the Home page, you can find all of our previous queries. Each query has one of 4 statuses:
Ready to download. You can download your data by clicking the download icon.
Preparing link. Your files are being prepared. This process takes up to 10 minutes.
Draft. You will see this status if you have generated a query and decided not to collect the data records.
Link expired. You can revisit this query and generate a link again, but if you generate a link after its expiration (after 14 days), credits will be deducted from your balance.

JSONL vs. CSV downloads
If you’re downloading data in bulk using the self-service platform, you can choose between JSONL and CSV formats, but the structure of these data files differs.
JSONL files contain full historical data, while CSV files contain the most recent data. This difference affects collections of specific data fields:
Employee data: experience, education, and certifications. CSV files contain one most recent record from each collection, while JSONL files contain all data about experience, education, and certifications. For example, if an employee is now working at Tesla and used to work at Google, the CSV file will only show Tesla.
Company data: locations, specialties, funding rounds. CSV files contain one most recent record from each collection, while JSONL files contain all data about locations, specialties, and funding rounds.
Jobs data: industries list, functions, and functions lists. CSV files contain one most recent record from each collection, while JSONL files contain full industries lists, functions, and functions lists.
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