Feature Requests

There seems to be a population of fake profiles, with non-human names, present in the Person dataset. Filtering out these profiles provide a cleaner data set and will simplify post processing in Person search.

The current inferred_salary field is capped at $250k+, which makes the data less useful for analyzing employees working at FAANG/Tech Giant or similar organizations

Increase quantity of profiles populated with inferred_salary.

Support for the expanded "Industry v2" canonical industry categories in PDL's person data (e.g., experience.company .industry). List of "industry_v2" field values available in the PDL company dataset: https://docs.peopledatalabs.com/docs/industries-v2

Validating LinkedIn URL's and marking LinkedIn URL as historical/active would be very useful, enabling presenting a URL as live or not.

The current summary field takes the longest length summary of all editable text fields in a profile. Add separate About and Headline raw fields similar to what you find on LinkedIn. (Person Data)

We've gotten feedback that phone number tagging similar to email tagging (personal/professional) would be helpful. In some cases, phone numbers that are displayed in the phone_numbers field are duplicated across profiles, especially when affiliated with a company, but it is difficult to disambiguate these at the individual profile level

Our experience arrays are currently unordered. Ordering them by start_date with the most recent experience in index 0 would reduce additional post-processing efforts

As salaries vary not only across role, title, and company, they also vary across location. When recommending candidates, having a salary range is useful, as budget is a huge factor when hiring. Knowing how reliable inferred salaries are is key for being able to recommend candidates based on salary ranges.