Sample python code

• How to find:
  geo_codes
  company_headquarter_location_ids
  current_company_ids
  past_company_ids
  school_ids

• Possible functions: “Accounting”, “Administrative”, “Arts and Design”, “Business Development”, “Community and Social Services”, “Consulting”, “Education”, “Engineering”, “Entrepreneurship”, “Finance”, “Healthcare Services”, “Human Resources”, “Information Technology”, “Legal”, “Marketing”, “Media and Communication”,
  “Military and Protective Services”, “Operations”, “Product Management”, “Program and Project Management”, “Purchasing”, “Quality Assurance”, “Real Estate”,
  “Research”, “Sales”, “Customer Success and Support”

• Possible company headcounts: “Self-employed”, “1-10”, “11-50”, “51-200”, “201-500”, “501-1000”, “1001-5000”, “5001-10000”, “10001+”

• Possible seniority levels: “Owner/Partner”, “CXO”, “Vice President”, “Director”, “Experienced Manager”, “Entry Level Manager”, “Strategic”, “Senior”, “Entry Level”, “In Training”

• Possible industry_code: were listed here

• Possible year (year_of_experience, year_in_current_company, year_in_current_possition): “Less than 1 year”, “1 to 2 years”, “3 to 5 years”, “6 to 10 years”, “More than 10 years”

• limit: Default value: 25. Maximum value: 2500

• To apply excluded values to some filters above, use the _exclude version as below:
  current_company_ids_exclude
  past_company_ids_exclude
  company_headquarter_location_ids_exclude
  functions_exclude
  title_keywords_exclude
  seniority_levels_exclude
  past_job_titles_exclude
  geo_codes_exclude
  industry_codes_exclude
  school_ids_exclude