usersSearch: Returns a list of users matching the search criteria
In Dementiy/vkR: Access to VK API via R

Returns a list of users matching the search criteria

usersSearch(
  q = "",
  sort = "",
  offset = "",
  count = "20",
  fields = "",
  city = "",
  country = "",
  hometown = "",
  university_country = "",
  university = "",
  university_year = "",
  university_faculty = "",
  university_chair = "",
  sex = "",
  status = "",
  age_from = "",
  age_to = "",
  birth_day = "",
  birth_month = "",
  birth_year = "",
  online = "",
  has_photo = "",
  school_country = "",
  school_city = "",
  school_class = "",
  school = "",
  school_year = "",
  religion = "",
  interests = "",
  company = "",
  position = "",
  group_id = "",
  from_list = "",
  flatten = FALSE,
  v = getAPIVersion()
)

`q`	Search query string (e.g., Vasya Babich)
`sort`	Sort order: 1 - by date registered; 0 - by rating
`offset`	Offset needed to return a specific subset of users
`count`	Number of users to return
`fields`	Profile fields to return
`city`	City ID
`country`	Country ID
`hometown`	City name in a string
`university_country`	ID of the country where the user graduated
`university`	ID of the institution of higher education
`university_year`	Year of graduation from an institution of higher education
`university_faculty`	Faculty ID
`university_chair`	Chair ID
`sex`	1 - female; 2 - male; 0 - any (default)
`status`	Relationship status: 1 - Not married; 2 - In a relationship; 3 - Engaged; 4 - Married; 5 - It's complicated; 6 - Actively searching; 7 - In love
`age_from`	Minimum age
`age_to`	Maximum age
`birth_day`	Day of birth
`birth_month`	Month of birth
`birth_year`	Year of birth
`online`	1 - online only; 0 - all users
`has_photo`	1 - with photo only; 0 - all users
`school_country`	ID of the country where users finished school
`school_city`	ID of the city where users finished school
`school_class`	Positive number
`school`	ID of the school
`school_year`	School graduation year
`religion`	Users' religious affiliation
`interests`	Users' interests
`company`	Name of the company where users work
`position`	Job position
`group_id`	ID of a community to search in communities
`from_list`	List of comma-separated words
`flatten`	Automatically flatten nested data frames into a single non-nested data frame
`v`	Version of API