Glassdoor Jobs Scraper | Global Job Listings

Collect public Glassdoor job listings by keyword and country, with optional location, date, job-type, remote, and Glassdoor application filters. Each unique offer is returned as a structured Dataset item with available descriptions, compensation, employer details, and application URLs.

What this Actor does

• Searches one Glassdoor country site per run with up to 50 keyword phrases.
• Applies optional location, publication-age, job-type, remote-only, and Glassdoor application filters.
• Returns up to 1,000 unique jobs per keyword and up to 50,000 items per run.
• Formats job descriptions as Markdown, HTML, or plain text.
• Optionally extracts public email addresses visible in job descriptions.
• Deduplicates offers across keywords while preserving the search phrase associated with each delivered item.
• Stores run-level counts, limits, failures, and billing reconciliation in the SUMMARY record.

Use cases

• Source public vacancies for recruitment research.
• Compare hiring demand across keywords, locations, and countries.
• Monitor remote, contract, internship, and part-time opportunities.
• Analyze compensation and employer information when published.
• Build job-search alerts with Apify Tasks and Schedules.
• Export listings into spreadsheets, databases, CRMs, or internal dashboards.

How to use

1. Open the Actor's Input tab.
2. Add one or more phrases under Search keywords.
3. Select a supported country and, optionally, enter a location.
4. Adjust the result limits and filters.
5. Click Start.
6. Open Dataset to inspect or export the job listings.

The Actor searches a single country site per run. Create separate runs when you need several countries.

Input

Field	Type	Required	Default	Description
keywords	string[]	Yes	—	One to 50 job-search phrases. Blank and duplicate phrases are removed.
country	string	Yes	"usa"	Glassdoor country site, such as usa, uk, canada, australia, germany, france, india, brazil, mexico, or spain.
location	string or null	No	null	City, region, postal code, or another location understood by Glassdoor.
maxItemsPerQuery	integer	No	25	Maximum unique jobs per keyword, from 1 to 1,000.
maxTotalItems	integer	No	5000	Global Dataset limit across all keywords, from 1 to 50,000.
offset	integer	No	0	Results to skip per keyword, from 0 to 900. Offset plus maxItemsPerQuery cannot exceed 1,000.
datePostedHours	integer	No	0	Only jobs published within this many hours, from 0 to 720. Use 0 for any age.
jobType	string	No	"any"	any, fullTime, partTime, contract, or internship.
remoteOnly	boolean	No	false	Keep only listings identified as remote.
easyApplyOnly	boolean	No	false	Keep only jobs marked for Glassdoor application.
descriptionFormat	string	No	"markdown"	Return descriptions as markdown, html, or plain.
includeEmails	boolean	No	false	Extract public email addresses found in descriptions.

This is the exact input used for the complete output example:

{
  "keywords": [
    "software engineer"
  ],
  "country": "usa",
  "maxItemsPerQuery": 25,
  "maxTotalItems": 5000,
  "offset": 0,
  "datePostedHours": 0,
  "jobType": "any",
  "remoteOnly": false,
  "easyApplyOnly": false,
  "descriptionFormat": "markdown",
  "includeEmails": false,
  "location": null
}

Output

The default Dataset contains one item per unique delivered job. Every successful item includes the search context, job identity, available employer and compensation data, the requested description format, and a retrieval timestamp.

Field	Description
success, status, source	Result state and source identifier.
searchKeyword, searchCountry, searchLocation	Search context that produced the item.
jobId, jobUrl, directJobUrl	Job identity, Glassdoor listing URL, and direct application URL when available.
title, companyName	Public job title and employer name.
companyUrl, companyDirectUrl	Glassdoor company page and public company website when available.
location, locationDisplay, isRemote	Structured location, displayed location, and remote flag.
jobTypes, postedDate	Published job types and posting date when available.
description, emails	Job description in the selected format and optional public emails.
compensation	Published salary or compensation structure when available.
companyIndustry, companyAddresses, companyEmployees, companyRevenue	Available employer metadata.
companyDescription, companyLogoUrl	Available employer description and logo.
scrapedAt	Timestamp recorded when the item was collected.

This is the complete Dataset item from a real successful run:

{
  "success": true,
  "status": "success",
  "source": "glassdoor",
  "searchKeyword": "software engineer",
  "searchCountry": "United States",
  "searchLocation": null,
  "jobId": "gd-1010228441927",
  "jobUrl": "https://www.glassdoor.com/job-listing/j?jl=1010228441927",
  "directJobUrl": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1110586&s=58&guid=000001a01e0ada47bcf07db6edeced4c&src=GD_JOB_AD&t=SR&vt=w&ea=1&cs=1_4186dde3&cb=1787210423383&jobListingId=1010228441927&cpc=217C45A42544DB93&jrtk=5-yul1-0-1k0f0lmjd2i39000-e61711bb6c9422ba---6NYlbfkN0AnsQJeHIrpK5UttAm4hLPttg48d_4BIU32tHFexz928XrxjBFz_olV1s-HBysSmSBjtMbazcrEYm2Aa3yWnRwxoy8teah3Hyq-xORr0FTtYJGRODqCehfRkR7imteXdqpPU3J_mUSbVO3e5M0YnB8h0wvh2JfmbD4Dv6-Kw4M4bpIFELbmCdKgCcg-BGixz1u8WmB6UJTh5fqimGdvLNiAUIBHqo2lqTDLbsKgLTrxSAszN7CDACKDaota__z4uCZgm9Y9Amt4jszzp0aKll3BDPwq8HwXA-I6ZFUBDIyPncPBtltMvwS1iVE231T7ijd8_5sVE45PehkAKP3DkTqiUNV_BK7OqVwwE8c2iZJcxY2oIPQ4yB3Ry6US80Yfwt7IS7mSr7Z3a9Zgisr44W3lKD4Ar1oVLztfxvZUS7GFrKPw2Vx1Q9R-b28idvx_KTRv-GfhI0NN6B2jPqRM6KRLh2JJW_3I9iZcx1zVGvUCgv-7JvHFNGQVI_-l-tnV1_hPQ_Dsy1ftsOEtQZKfoKL_ZcRF0bDTP6BYy6gESyStqrXVYkOToWMAYlNWIugMmtWx4R01d9bJIdMoaHXXSup5HD4JJb2FBJGgEJRZSmXKvidU3zqbytjjwYgUn4dNTEfPRZunfU6Lb7LOBc0aENrN3stpZbnNXK-4oX1vfhjLsBPdwGMTOkeaoz85hg17Dnj6ebfcPMjGC32QHIO1y9mwPKXiW85tq3jEFWFA4Hd6H9G6ZIcTFIHu7QN1Rc5nbLNYlfAgdFTSqOGloQD8rPxsKuKjEv2neNGhkMyTswbDOwPhtGpNYHgveftsbcQ7gSzHzionA1kc4XPcT8xw--F0vvh_PSEPVT8%3D",
  "title": "Automation Engineer - Beckhoff TwinCAT - USA",
  "companyName": "ekvip automation GmbH",
  "companyUrl": "https://www.glassdoor.com/Overview/W-EI_IE5913365.htm",
  "companyDirectUrl": null,
  "location": {
    "country": null,
    "city": "North Kingstown",
    "state": "RI"
  },
  "locationDisplay": "North Kingstown, RI",
  "isRemote": false,
  "jobTypes": [],
  "postedDate": "2026-08-13",
  "description": "ekvip automation GmbH is a software company specializing in mechanical and industrial engineering, headquartered in Leipzig with subsidiaries in the U.S. and Sarajevo. We develop TwinCAT 3 frameworks (including our open-source framework cinnamon), C# applications for the machine and line level, as well as services related to commissioning. Our guiding principle is simple: we shape automation.\n\nAre you looking for more than just a “job” and prefer to break new ground rather than follow well-trodden paths? We are looking for someone whose heart beats not only for automation technology, but also for adventure and challenges.\n\n**Your Tasks**\n\n* You will not only develop software for plant control and put it into operation but also help us build up the PLC programming business in the USA from scratch\n* You are responsible for designing and developing reusable framework libraries for use across diverse customer projects\n* You will work on improving and maintaining our existing frameworks to ensure stability, performance, and scalability\n* This also includes documenting architectural decisions and defining development standards for effective use of the framework\n* You will improve code quality and maintainability by applying modern software engineering principles and tools\n* Optimize workflows and evolve best practices in framework development\n* You will keep yourself informed about new trends and technologies in the fields of automation and software engineering\n* You will mentor and support less experienced team members, fostering a culture of collaboration and continuous learning\n* In the future, you will have the opportunity to build and lead your own development team\n\n**Your Profile**\n\n* Successfully completed studies in Electrical Engineering, Automation Engineering, Mechanical Engineering, Mechatronics, Computer Science, or a comparable technical field\n* At least 5 years of hands-on experience in PLC programming for special-purpose machines\n* Strong knowledge of IEC 61131-3 (Structured Text/SFC) with TwinCAT 3 and/or CODESYS 3\n* Experience in developing reusable libraries using TwinCAT 3 or CODESYS 3\n* Familiarity with library documentation, ideally using reStructuredText\n* Basic understanding of object-oriented programming (e.g., Java, Kotlin, C#)\n* Solid grasp of software architecture principles and modern software development techniques\n* Experience with NC applications and drive commissioning (e.g., Bosch Rexroth, Beckhoff)\n* In-depth knowledge of VisiWin 7 and/or Beckhoff HMI\n* Robot programming experience (e.g., KUKA, ABB, Stäubli) is a plus\n* willingness to travel extensively within the United States\n\n**Why you should start with us:**\n\n* Lots of freedom, responsibility, and the chance to build something from the ground up\n* Exciting projects that help you grow professionally and personally\n* Paid Time Off (PTO)\n* Paid Holidays & Sick Time\n* 401K Retirement Plan with Company Match\n* Health, Dental & Vision Insurance with Premium Paid by Company\n\nWork Location: In person",
  "emails": null,
  "compensation": {
    "interval": "yearly",
    "min_amount": 84391,
    "max_amount": 127383,
    "currency": "USD"
  },
  "companyIndustry": null,
  "companyAddresses": null,
  "companyEmployees": null,
  "companyRevenue": null,
  "companyDescription": null,
  "companyLogoUrl": "https://media.glassdoor.com/sql/5913365/ekvip-automation-squarelogo-1646993728233.png",
  "scrapedAt": "2026-08-20T07:20:35.107255Z"
}

Run-level information is stored separately in the default Key-Value Store under SUMMARY, including query counts, failures, retries, duplicate totals, output-limit state, charge-limit state, and accepted charge events.

Pricing

This Actor uses pay-per-event pricing:

Event	Price	Charged when
glassdoor-offer	USD 0.001 per offer (USD 1 per 1,000)	One unique public Glassdoor job offer is written to the default Dataset.

Duplicate offers, failed searches, and results that are not written do not trigger this event. If the maximum total charge is reached, the Actor stops emitting additional billable items. The current Pricing tab on the Actor page is authoritative.

API and integrations

Run the Actor through Apify Console, API, CLI, Tasks, Schedules, or webhooks. Dataset results can be exported as JSON, JSONL, CSV, Excel, XML, or RSS.

API request:

curl -X POST "https://api.apify.com/v2/acts/datascraperes~glassdoor-jobs-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["software engineer"],"country":"usa","maxItemsPerQuery":25,"maxTotalItems":5000,"offset":0,"datePostedHours":0,"jobType":"any","remoteOnly":false,"easyApplyOnly":false,"descriptionFormat":"markdown","includeEmails":false,"location":null}'

JavaScript client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datascraperes/glassdoor-jobs-scraper').call({
  "keywords": [
    "software engineer"
  ],
  "country": "usa",
  "maxItemsPerQuery": 25,
  "maxTotalItems": 5000,
  "offset": 0,
  "datePostedHours": 0,
  "jobType": "any",
  "remoteOnly": false,
  "easyApplyOnly": false,
  "descriptionFormat": "markdown",
  "includeEmails": false,
  "location": null
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("datascraperes/glassdoor-jobs-scraper").call(
    run_input={
  "keywords": [
    "software engineer"
  ],
  "country": "usa",
  "maxItemsPerQuery": 25,
  "maxTotalItems": 5000,
  "offset": 0,
  "datePostedHours": 0,
  "jobType": "any",
  "remoteOnly": False,
  "easyApplyOnly": False,
  "descriptionFormat": "markdown",
  "includeEmails": False,
  "location": None
}
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Related Actors

Actor	Best for
Indeed Jobs Scraper | Worldwide Job Data	Finding worldwide Indeed listings with comparable location, date, job-type, remote, and application filters.
LinkedIn Jobs Scraper – No Login	Adding public LinkedIn job listings with workplace, experience, applicant, and Easy Apply filters.
LinkedIn Company Profile Scraper - No Login	Enriching employers found in job results with public company profiles and organization details.

Limits and data quality

• A run accepts up to 50 unique keywords and searches one country site.
• maxItemsPerQuery is a ceiling, not a guarantee. Source availability and filters can reduce the number returned.
• The global output limit is 50,000 items, but the user's maximum total charge can stop output earlier.
• Jobs are deduplicated across keywords using stable public identifiers or URLs.
• A run can be partial when some keyword searches succeed and others fail; successful Dataset items remain available.
• Listings can change or disappear, and optional salary, description, employer, email, date, location, or application fields can be null or empty.
• Remote-only and Glassdoor application filters depend on the public labels available for each listing.
• The Actor does not access private accounts, applications, or information behind a login.

Frequently asked questions

Can I search several countries in one run?

No. Use one country per run and create separate Tasks or runs for additional countries.

Why did I receive fewer jobs than requested?

The requested values are maximums. The source may expose fewer matching public listings, and filters, duplicates, output limits, or a maximum charge can reduce the total.

Are duplicate jobs charged more than once?

No. Only unique offers actually written to the Dataset trigger glassdoor-offer.

Can I receive plain text instead of Markdown?

Yes. Set descriptionFormat to plain; use html to preserve HTML instead.

Does the Actor always return salaries and direct application links?

No. Those fields are returned only when published and available for the individual listing.

Can I schedule recurring searches?

Yes. Save the input as an Apify Task and connect it to an Apify Schedule.

Responsible use

Use the Actor only for lawful processing of public job information. Follow applicable laws, privacy requirements, Glassdoor's terms, and the rights of employers and applicants. Do not use results for spam, harassment, discrimination, or unlawful automated decisions.

Support

If a run fails or returns unexpected data, open an issue from the Actor page. Include the run URL, non-sensitive input, and expected behavior, but never publish API tokens or other secrets.