Firmographic Data
Professional Network: Companie...

FAQ

11min

Main source details

Refresh rate

Available formats

Delivery frequency

Monthly

JSON, JSONL, and CSV

Daily, monthly, and quarterly

How do we send data?

We send the professional network data using the following methods:

Method

Description

Links

We provide you with the link and login credentials for you to retrieve the data

Amazon S3

Provide your storage credentials, and we will send the data to you

Google Cloud

Provide your storage credentials, and we will send the data to you

Microsoft Azure

Provide your storage credentials, and we will send the data to you



What does the data look like?

We deliver data in locational datasets: Global (all countries), English-speaking countries, Europe, and the United States.

However, you can always submit a custom request, e.g., get data on companies based in Germany.

The following example illustrates downloading a dataset using a download link and credentials provided by us.

JSON

  • Download the gzipped JSON file using the provided link and credentials. Click on the file you want to download:
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  • Unzip the file by clicking on it:
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  • A JSON file will appear at the unzip location. Each file will have up to 10,000 company profile records.


CSV

  • Click on the link and download the csv.gz file:
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  • Unzip the file by clicking:
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Each gzipped CSV file contains a table with specific data collection (e.g., a locations table) from company profile records.

The gzipped file might contain several files, but they all belong to the same table (e.g., locations):

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What tools would you suggest using?

We can only offer general solutions since it depends on the tech stack you use or what you prefer using.

Ingesting a large dataset like Professional Network Companies can be efficiently managed using a combination of tools and technologies tailored to handle big data workloads.

Tool category

Tool example

Database systems

Data processing frameworks

Data ingestion tools

Data ETL (Extract, Transform, Load) tools

Data transformation

dbt Pandas



Updated 13 Aug 2024
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