Summary
This is a collection of data on over 7 Million Global companies. Including names, domains, size range, year funded, industry, locality, country, linkedin url, current employee estimate, and total employee estimate.
To download visit our main site and complete the form
Headers
| name | domain | year_founded | industry | size_range | locality | country | linkedin url | current employee estimate | total employee estimate |
|---|---|---|---|---|---|---|---|---|---|
| 7,004,634 Unique | 5,474,766 Unique | 236 Unique | 148 Unique | 8 Unique Ranges | city, state, country | country headquarters | 7,173,427 Unique | Estimate for current employee count | Estimate for total historic employee count. |
| Never Null | 35% Null | 50% Null | 4% Null | 35% Null | 33% Null | Never Null | Never Null | Never Null | |
| Not Unique | Not Unique | Not Unique | |||||||
| 48,041 Repeated |
Size
7173427 Lines
267 mb Compressed
1.01 gb Uncompressed
Downloading the dataset
The dataset is provided in three formats, CSV, Pipe-seperated, and JSON. We have found many of customers prefer the CSV, however since the CSV is very large (7mm lines), common programs like Excel and Numbers can't handle opening it. If you want to open it fully, you'd have to do it programmatically, for example using the python CSV library
Additional Notes
The size range represents the likely range within which the current employee count of the company falls. Additionally, not all data we pull for free datasets is accurately merged; minor inaccuracies may be present in the open source version. Any errors due to formatting will be fixed in the next data iteration.
License
You may use this data for any purpose. It is released under the terms of the Creative Commons Attribution license (CC BY 4.0 - https://creativecommons.org/licenses/by/4.0/).
Updated about a year ago