Glassdoor Jobs Scraper

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Turn Glassdoor's millions of job listings into structured, searchable data. Salary ranges, company ratings, job descriptions, and 30+ fields per listing across 23 countries. 50 jobs in under 10 seconds.

How it works

👁 How it works

✨ Why use this scraper?

Spending hours copy-pasting job listings from Glassdoor tabs? Running scrapers that return half the fields you need? Getting blocked after 10 requests?

• 💰 Salary data on every listing that has it. Min, max, median, currency, and pay period. Filter by salary range to get only what matters.
• 🌍 23 countries, one scraper. US, UK, Canada, France, Germany, India, Australia, Spain, Italy, Netherlands, and 13 more. Switch with a single dropdown.
• 🔍 Multi-keyword search. Run "Data Engineer", "ML Engineer", and "Data Scientist" in one call. Results are deduplicated automatically.
• 📊 30+ fields per job. Title, description, salary, company rating, size, revenue, industry, remote status, Easy Apply flag, posting source, and more.
• ⚡ 50 jobs in under 10 seconds. Pagination, session management, and retries are handled for you.

🎯 Use cases

📥 Input parameters

Search

Filters

Advanced Filters

📊 Output data

{
"job_title":"Senior Software Engineer",
"job_description":"We are looking for a talented engineer to join...",
"job_url":"https://www.glassdoor.com/job-listing/j?jl=1009700456289",
"job_apply_url":"https://careers.google.com/apply/123",
"job_posted_date":"2026-02-25T00:00:00",
"job_is_remote":false,
"job_easy_apply":false,
"job_posted_via":"Glassdoor",
"job_job_types":["Full-time"],
"job_levels":["Mid-Senior Level"],
"job_industry":"Internet & Software",
"job_sponsored":false,
"job_location":{
"city":"Mountain View",
"country":"United States"
},
"job_salary":{
"min":150000,
"max":250000,
"median":200000,
"currency":"USD",
"currency_symbol":"$",
"pay_period":"yearly",
"estimated":false
},
"company_name":"Google",
"company_rating":4.3,
"company_logo":"https://media.glassdoor.com/sql/6036/google-squareLogo.png",
"company_url":"https://www.glassdoor.com/Overview/W-EI_IE6036.htm",
"company_website":"www.google.com",
"company_short_name":"Google",
"company_sizes_str":"10001+ Employees",
"company_revenue":"$100+ billion (USD)",
"company_industries":["Internet & Software"]
}

🗂️ Data fields

🚀 Examples

Search for backend engineers in New York

{
"keywords":["Backend Engineer","Software Engineer"],
"location":"New York",
"maxItems":100
}

Find remote product manager jobs posted this week

{
"keywords":["Product Manager"],
"remoteWorkType":"true",
"fromAge":"7",
"jobType":"fulltime",
"maxItems":50
}

Monitor Google hiring across roles

{
"keywords":["Software Engineer","Data Scientist","Product Manager"],
"companyName":"Google",
"maxItems":200
}

Search jobs in France with salary filter

{
"keywords":["Developpeur"],
"country":"FR",
"location":"Paris",
"minSalary":50000,
"maxItems":30
}

Entry-level tech jobs with high-rated companies

{
"keywords":["Junior Developer","Graduate Engineer"],
"seniorityType":"entrylevel",
"industryType":"200063",
"minRating":4,
"maxItems":50
}

💻 Integrations

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("silentflow/glassdoor-jobs-scraper").call(run_input={
"keywords":["Software Engineer","Backend Developer"],
"location":"New York",
"country":"US",
"jobType":"fulltime",
"fromAge":"7",
"maxItems":100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
 salary = item.get("job_salary")
 pay =f"${salary['min']:,}-${salary['max']:,}"if salary else"N/A"
print(f"{item['job_title']} @ {item['company_name']} | {pay}")

JavaScript

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('silentflow/glassdoor-jobs-scraper').call({
keywords:['Software Engineer','Backend Developer'],
location:'New York',
country:'US',
jobType:'fulltime',
fromAge:'7',
maxItems:100,
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item=>{
const salary = item.job_salary;
const pay = salary ?`$${salary.min.toLocaleString()}-$${salary.max.toLocaleString()}`:'N/A';
 console.log(`${item.job_title} @ ${item.company_name} | ${pay}`);
});

📈 Performance

💡 Tips for best results

1. Use multiple keywords to cover different job title variations in one run: ["Python Developer", "Backend Engineer", "Software Developer"]
2. Filter by date with fromAge: "7" to get only fresh postings from the last week
3. Set a location for relevant results. Leaving it empty searches the entire country
4. Start with 30 results to test your filters before scaling to hundreds
5. Combine salary + seniority filters to find exactly the compensation tier you need

❓ FAQ

Q: Do I need a Glassdoor account? No. The scraper extracts publicly available data. No login, no API key, no cookies.

Q: Why are some jobs missing salary data? Glassdoor only shows salary for a subset of listings. Set includeNoSalaryJob to false to get only jobs with salary.

Q: What does job_posted_via mean? The platform that originally posted the job: "Glassdoor", "Indeed", "LinkedIn", etc. Empty means posted directly on Glassdoor.

Q: Can I search in non-English countries? Yes. Set country to FR, DE, ES, IT, BR, or any of the 23 supported countries. Use keywords in the local language for best results.

Q: How do I get the most results? Use multiple keywords, set a broad location, and remove strict filters. Some country domains have fewer listings than others.

Q: Is there a limit on how many jobs I can scrape? Glassdoor returns up to ~900 results per keyword. Use multiple keywords to get more: 5 keywords can yield thousands of results in a single run.

📬 Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations
• Response time: usually under 24 hours

Check out our other scrapers: SilentFlow on Apify