We seek to provide multiple ways to access our data, ensuring that your team can get information in the right format and at the right time.
We generally offer two options: flat file datasets and access data via API. Depending on the project scope and size, you can choose the option that best suits your needs.
Flat files: download the dataset using a web link
All sources
We provide you with the link and login credentials for you to retrieve the data
Flat files: uploaded data file to your cloud server (S3, Azure, Google Cloud, etc.)
All sources
Provide your storage credentials, and we will send the data to you
APIs: get data using available APIs
Company, Employee, Jobs data
Access data by sending API requests
We offer nine different flat-file datasets for businesses. Datasets are available in JSONL, Parquet or CSV formats:
Base Company
JSONL; Parquet
Company Posts
JSONL; Parquet
Base Employee
JSONL; Parquet; CSV
Employee Posts
JSONL; Parquet
Base Jobs
JSONL; Parquet; CSV
Clean Company
JSONL; Parquet; CSV
Clean Employee
JSONL; Parquet; CSV
Multi-source Company
JSONL; Parquet
Multi-source Employee
JSONL; Parquet
Multi-source Jobs
JSONL; Parquet
We are constantly improving our delivery capabilities. If you do not find a preferred method or format, contact us.
Data access via our API provides a freshly collected dataset in JSON format that can be analyzed using Python, Ruby, PHP, or any other preferred scripting language.
We can only offer general solutions since it depends on the tech stack you use or what you prefer using.
Ingesting large datasets can be efficiently managed using a combination of tools and technologies tailored to handle big data workloads.
Database systems
Data processing frameworks
Data ingestion tools
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