Step 3, optional. Pick the extra groups to add to each row; the price per profile does not change. Format: a list of group names, for example ["career","details"]. career = experience[] (work history), volunteerExperience[], education[], skills[]. details = about, industry, followersCount, profileImageUrl, backgroundImageUrl (image links expire, download them soon). credentials = certifications[], languages, honors, projects, courses, testScores, publications, patents. social = recommendations[], interests, articles[], groups[]. location = city, state, stateFullName, countryFullName, countryIso3. links = linkedinUrl, githubUrl, twitterUrl, facebookUrl, websiteUrl (URLs only) and hasPhone (true/false; no phone numbers, no email addresses are ever returned). currentJob = the current role as flat fields: currentCompanyLinkedinId, currentCompanyLogoUrl (expiring link), currentJobStartDate, currentJobDescription, currentJobLocation, currentEmploymentType, currentJobFunction, currentSeniority, jobTitleNormalized. analytics = seniorityLevel, isDecisionMaker, averageTenureYears, and counts (skillsCount, educationCount, experienceCount, certificationsCount, languagesCount, companiesCount) plus highestDegree. network = relatedProfiles (up to 10), similarNames (up to 10), activities. quality = dataQualityPublicExperienceAvailable, sectionsIncluded. career also adds organizations. companyDetails = fields about the person's CURRENT employer, one company lookup per distinct employer per run, prefixed company: companyName, companyWebsite, companyIndustry, companyType, companyDescription, companyTagline, companySpecialities, companyEmployeeRange, companyEmployeesOnLinkedin, companyFollowers, companyFoundedYear, companyHq* (line, city, state, country, postal code), companyLocationsCount, companyLogoUrl (expiring link), companyLinkedinUrl, companyCrunchbaseUrl, companyTotalFundingUsd, companyFundingRounds, companyInvestors, companyStockSymbol, companyIpoStatus, companyFundingData, companyAcquisitions. A company that cannot be found is skipped, the profile row is still delivered and charged. For the most data per row combine include ["all"] with depth deep. all = every group at once (use ["all"]). Only fields the profile actually has are added; empty ones are left out. Omit or leave empty for the default compact row (name, headline, title, company, location, tenure): it is the fastest and smallest. Any other value fails the run and nothing is charged.
