💰 Glassdoor Salaries Scraper

Extract Glassdoor salary estimates for any company by name or URL — base pay, total pay and bonus per job title — and export them as structured JSON, CSV or Excel. No code required.

📋 Contents

• Overview
• How to use
• Input
• Output
• Pricing
• Proxy and performance
• Integrations
• Related Actors
• FAQ
• Support

📖 Overview

Collect Glassdoor salary data for any company by typing its name or pasting a Glassdoor URL. For every job title reported at the company you get the base-pay range (low / median / high), total pay, the additional-pay breakdown (cash bonus, stock, profit sharing, sales commission, tips), the number of reported salaries, the currency and the pay period.

• Find a company by name (Google) or paste any Glassdoor company URL.
• Salary figures per job title: base pay low/median/high, total pay, and additional pay.
• Optional full percentile breakdown (10th / 25th / 50th / 75th / 90th).
• Choose the pay period — annual, monthly or hourly — and the region (any Glassdoor country domain).
• No login required — works anonymously.
• Exports to JSON, CSV, Excel, or the Apify dataset API.
• Pay per result — no subscription.

🚀 How to use

1. Add one or more companies in Company names (Google, Microsoft, Airbnb) — or paste Glassdoor company URLs.
2. Pick the pay period (annual / monthly / hourly) and, for company names, the Glassdoor domain (region).
3. Set Max job titles per company (0 = every job title).
4. Start the run, then download your data from the Storage tab or fetch it from the API.

📥 Input

Field	Key	Type	Default	Description
Glassdoor company URLs	startUrls	array	—	Company Salaries page or any company URL. Works on any country domain.
Company names	companyNames	array	["Google"]	Company names resolved automatically on Glassdoor.
Max job titles per company	maxSalariesPerCompany	integer	100	Salary rows to collect per company. 0 = all.
Pay period	payPeriod	select	annual	Annual, monthly or hourly figures.
Glassdoor domain	country	select	www	Domain used for company names — also sets region & currency.
Full percentile breakdown	includePercentiles	boolean	true	Add the 10th–90th percentile range for base & total pay.
Additional pay breakdown	includeAdditionalPay	boolean	true	Add cash bonus, stock, profit sharing, commission and tips.
Flat columns	flatten	boolean	false	Keep only flat columns for CSV/Excel.
Proxy configuration	proxyConfiguration	object	Off	Leave off — the Actor works best with no proxy.

📤 Output

Each job title is stored as one dataset item. Export it as JSON, CSV or Excel, or read it from the API.

Field	Description
employerId / employerName	Glassdoor company ID and name
url	Link to the company's salaries page
jobTitle / jobTitleId	Job title and its Glassdoor ID
location	Region the figures cover (e.g. France, United States)
payPeriod / currency	Pay period and currency
salaryCount	Number of reported salaries
mostRecent	Most recent salary report date
basePayMin / basePayMedian / basePayMax	Base pay: low (10th), median (50th), high (90th)
totalPayMin / totalPayMedian / totalPayMax	Total pay: low, median, high
additionalPayMedian	Additional pay (bonus + stock + …), median
additionalPay{}	Breakdown: cash bonus, stock, profit sharing, sales commission, tips
basePayPercentiles{} / totalPayPercentiles{}	Full percentile ranges

💰 Pricing

$3.00 per 1,000 job-title salaries. No subscription — you pay only for the results you extract. New Apify users can try the Actor with their free monthly platform credits.

🛡️ Proxy and performance

• Leave the proxy off — this Actor is tuned to run without one, and a proxy usually makes Glassdoor runs less reliable.
• Start with a small Max job titles per company to validate your setup, then increase it.
• Add several companies in one run to compare pay side by side.
• The first request per run warms up the session; the rest are fast.

🔌 Integrations

Run the Actor from the Apify API, the JavaScript or Python clients, or connect it to Make, Zapier, n8n, Google Sheets and Slack through Apify integrations. Each run's data is available as JSON or CSV via the dataset API.

🔗 Related Actors

• Glassdoor Reviews Universal Scraper — company reviews from Glassdoor.
• Glassdoor Jobs Universal Scraper — job listings from Glassdoor.
• Trustpilot Universal Scraper — customer reviews from Trustpilot.

Need another source? Open an issue.

❓ FAQ

Which URLs are supported?

Any Glassdoor company URL — the Salaries page (.../Salary/Company-Salaries-E12345.htm) or the company Overview/Reviews page. Any country domain works (.com, .fr, .de, .co.uk…).

Where do the figures come from?

They are Glassdoor's own estimates, aggregated from salaries reported by employees for each job title.

How do I get salaries for a specific country?

Paste that country's Glassdoor URL, or pick the matching Glassdoor domain when using company names — it sets both the region and the currency.

How fresh is the data?

It is collected live at runtime.

💬 Support

Questions or issues? Post them in the Issues tab and I will respond quickly. If the Actor is useful to you, a review is appreciated.