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People Data Labs Free Company Dataset

General info on over 9 Million companies

Available in

AWS Marketplace

Available in

AWS Marketplace

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

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## Free Company Dataset Product Overview

This is our free company dataset of 9mm company profiles with reduced fields. The data in this file is updated quarterly. We also list our paid company dataset on ADX [here](https://us-west-2.console.aws.amazon.com/dataexchange/home#/products/prodview-umlejmirylpew).

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## Use Cases

Our company data is a powerful tool for segmentation and entity disambiguation. It can be used for a variety of use cases including.

### Revenue Operations

Company data is becoming increasingly relevant // important. As the tech world shifts towards a B2B focus ([which is a pretty clear trend](https://martech5000.com/about)) sales + marketing teams, investors, and legal teams are looking to understand companies better and better. A few key areas of interest have been de-duplicating accounts, creating metadata to help segment and score accounts, and text fields that help with tagging accounts to a use case or product.

### Audience Creation

Our customers are the audience providers who help their customers generate target audiences and often provide the additional service of creating marketing campaigns around our company and person data. Some help facilitate email campaigns, some help upload the audiences to add platforms like google ads and social media sites. Most are using our company data in conjunction with our [Person Data](https://docs.peopledatalabs.com/docs/fields)

### Competitive Due Dilligence

Many companies use our [paid dataset](https://us-west-2.console.aws.amazon.com/dataexchange/home#/products/prodview-umlejmirylpew) for finding similar companies for competitive analysis. This could be both an internal use case (looking for up-and-coming competitors) and when doing due dilligence as part of an investment process.

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## Metadata

Description | Value

----|-----

Update Frequency | Quartery

Data Source(s) | [Our Data Union](https://docs.peopledatalabs.com/docs/data-sources)

Data Creation Date | August 3, 2020

Last Data Modification Date | June 15, 2021

Geographic coverage | Global

Time period coverage | Current and Historic

Is historical data “point-in-time” | No

Data Set(s) Format(s) | JSON

Raw or scraped data | Raw

Key Fields | name, website, industry, size

Key Words | Sample, Free Data, Company Data, Global Data

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## Schema

The data fields provided in this dataset are:

Field | Description

----|-----

id | The PDL id the company

name | The name of the company

founded | The year the company was founded

website | A domain associated with the company

size | An estimated range of the # of employees that currently work there

locality | City, State, Country

region | State, Country

country | Primary country of operation

industry | Primary industry of operation

linkedin_url | Linkedin page associated with the company

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## Additional Information

* [Company Data Dictionary](https://docs.peopledatalabs.com/docs/company-fields)

* [Paid Company Dataset Available for Purchase](https://us-west-2.console.aws.amazon.com/dataexchange/home#/products/prodview-umlejmirylpew)

* Reach out to your ADX representative to get access to our file of over 1bn global person profiles and/or 18mm company profiles.

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## Pricing Information

List pricing for our paid dataset is $100k. Inquire for custom pricing.

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## Regulatory and Compliance Information

Our data is sourced in a compliant manner and we are a registered data broker in California.. For more information, please inquire.

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## Need Help?

* If you have questions about our products, contact us using the support information below.

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## About Your Company

People Data Labs is your engineering partner for all things people data.

Our company has enabled thousands of engineering, data science, product, and other technical teams to build compliant, innovative, software solutions using b2b data.

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