Backend Developer for Custom LinkedIn Data Parser and Extraction

Create Excel file/CSVs of reports based on company-specific filters that leverage extracted profile data. Certain filters currently dont exist in LinkedIn (e.g. Lawyers from a Top 50 law school who are currently unemployed), so we will provide relevant lists and guidelines that define specific filtering categories. For example, a list of the top 50 law schools to help with the filter referenced earlier.

The goal is to determine what data fields can be obtained from LinkedIn. Ideally through the scraping of Standard LinkedIn. However, we will also examine what data can be obtained through scraping results from Sales Navigator and Recruiter Lite.

In the final deliverable, well not only want the extracted data delivered in a structured and sanitized manner but want certain boolean queries run against the data and housed within separate pages in the spreadsheet.
About the recuiter
Member since Nov 11, 2022
Chandni Maini
from Teleorman, Romania

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