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BG8GOO(UID: 62)

  • 邮箱状态未验证
  • 个人签名  
    12[url=http
  • 个人主页https://opendata-api.com/en/glassdoor/company-salaries.html
  • 性别男
  • 生日1979 年 5 月 5 日
  • 兴趣爱好============================
    Glassdoor Salary by Company API: Min, Median and Max Pay for Any Role at Any Employer
    ============================
    One call, one company, one job title: a salary benchmark you can trust, backed by report counts and a confidence grade.

    --------------------
    INTRODUCTION
    --------------------
    Compensation data has become core infrastructure for recruiting platforms, HR-tech products and career tools. Candidates expect to know whether an offer is fair, and recruiters need hard numbers rather than guesses. Employer-level salary data is hard to obtain in a structured form. The Glassdoor Salary by Company API from Global API Gateway turns it into a clean data interface (open data style) that you can call directly from your own product.

    --------------------
    FEATURED API
    --------------------
    Glassdoor Employer Data: Salary Estimate at One Company

    This endpoint gives a pay benchmark for one role at one employer. Pass company_id and job_title (for example, software engineer). You can add an optional location, a location_type and a years_of_experience band. The response is a single estimate that contains:

    • min_salary, median_salary, max_salary for total pay
    • min/median/max_base_salary and min/median/max_additional_pay splits
    • salary_period (e.g. YEAR) and salary_currency (e.g. USD)
    • salary_count, the number of employee reports behind the figure
    • a confidence label (e.g. CONFIDENT)

    The page reports a live check: a software-engineer estimate at Google resolved nationally with more than 51,000 reports and a CONFIDENT grade.

    --------------------
    WHAT CAN BE INTEGRATED
    --------------------
    • Total pay decomposition: min, median and max for total pay, plus separate base-salary and additional-pay splits
    • Sample-size transparency: salary_count and confidence show how reliable each estimate is
    • Experience-band cuts: years_of_experience narrows estimates from entry level to 15+ years
    • City-level precision: location with location_type scopes the estimate from national down to city
    • Regional Glassdoor domains: a domain option covers sites such as the US, UK, Canada, Australia, India, Germany and France
    • Pairing with related endpoints: market salary estimates by title and city, all salary reports at a company, interview reports and company job postings

    --------------------
    USE CASES
    --------------------
    [1] Offer-evaluation tools
    • Compare a candidate's offer against the company median and range for the role

    [2] Compensation benchmarking
    • Build a table of target employers for the same job title

    [3] Recruiter enablement
    • Show real min, max and median figures per company, role and experience band

    [4] Pay-equity analysis
    • Contrast pay bands by location within one employer

    [5] HR dashboards
    • Flag low-sample titles as indicative rather than exact, using salary_count and confidence

    --------------------
    PRICING & GETTING STARTED
    --------------------
    ✓ Sign up and get 100 free credits, with no credit card required
    ✓ Use one API Key for all products, billed by credits; different endpoints consume different amounts
    ✓ Credits never expire, payment goes through Stripe, and unused credits can be refunded
    ✓ The online test tool lets you run the endpoint in your browser before writing any code

    --------------------
    CONCLUSION
    --------------------
    If you need employer-level pay benchmarks, this endpoint covers the min, median and max, the base and bonus split, and the sample size and confidence that go with them. Try it free or read the documentation here:
    https://opendata-api.com/en/glassdoor/company-salaries.html

    ------ị
    last updateTime: 2026-10-14 16:44:32b
  • 出生地中国 四川省 遂宁市
  • 居住地中国 四川省 成都市 郫县 犀浦镇

活跃概况

  • 在线时间2 小时
  • 注册时间2011-1-15 15:31
  • 最后访问2026-10-15 00:51
  • 上次活动时间2026-10-15 00:51
  • 上次发表时间2011-5-4 12:02
  • 所在时区使用系统默认

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