Find, filter and parse big data (companies, decision-makers, contacts, etc.)

It is necessary to find several thousand companies within the specified criteria (according to location, industry, turnover, etc.).
Then filter them by intent and other specified criteria.

From the list of the remaining companies, you need to parse data again according to specified criteria (money turnover, geolocation, company structure, etc.).
I need as much information about the decision-makers of these companies as you may find - the more, the better (position/area of responsibility/telephone/mail/social networks/interests/what he usually looks for, etc).

ATTENTION
In the application, describe how you are going to filter and parse data, which approach and which tools you will use – AI/scrappers and parsers/service platforms and any other resources. Name them, and tell me what is the guarantee that the parsed data will be up-to-date. I mean, I need to know that this data about the company or decision-maker is up-to-date now, not 2 or 3 years ago.
About the recuiter
Member since Nov 11, 2022
Nirmal Kumar
from Washington, United States

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