Glassdoor Scraper — Glassdoor Jobs API with Salaries | $0.30/1k

What does Glassdoor Jobs Scraper do?

Get Glassdoor job listings as clean, analysis-ready rows: title, company, the company's Glassdoor rating, location, the salary range as numbers (salaryMin, salaryMedian, salaryMax), job type, remote or hybrid flag, Easy Apply, skills, how many days ago the job was posted, a description snippet and, if you want it, the full job description. It is built for recruiters, salary analysts, job boards and sales teams who need Glassdoor listings in bulk instead of one browser tab at a time.

Type a keyword and a location - or paste a Glassdoor search URL - and scrape Glassdoor jobs into JSON, CSV or Excel, or read them straight from the Apify API. It works as a practical Glassdoor API alternative for job search: Glassdoor's own partner API is not open to the public, and this Actor reads the same job-search data the Glassdoor website shows to every visitor. The default 20-job run finished in about 15 seconds.

It reads only job listings that Glassdoor shows publicly. It does not log in, does not touch company reviews, interviews, resumes or member profiles, and has no recruiter, email or phone-number columns. If an employer pasted an email address, phone number or a contact person's name into the posting text, it is replaced with [email removed], [phone removed], [profile link removed] or [contact removed] before the row is saved. That includes the contact person in the "Agency contact information" block of federal job postings.

Use cases for this Glassdoor scraper

• Compensation analyst tracking pay. Glassdoor shows a pay range on most US listings. salaryMin, salaryMedian and salaryMax come as numbers with salaryPeriod and salaryCurrency, and salaryIsEstimate separates the employer's own range from Glassdoor's estimate. 19 of the 20 jobs in the default run had one.
• Recruiting or staffing agency building a client pipeline. Pull every new nurse, warehouse or software opening in a city each morning with datePosted: "1" and reach the hiring company first. companyRating tells you how the employer is seen by its own staff.
• Sales team finding companies that are hiring. A company posting ten data roles is buying a data stack. Group the rows by company and skills and push the accounts into your CRM as hiring-intent signals.
• Job board or aggregator seeding listings. Title, company, logo, location, salary, job type and a link to the Glassdoor listing, with the full description on request.
• Labour-market research. Compare remote versus on-site volume, pay bands or skill demand by city, state or country with workplaceType, location, skills and the salary columns.
• AI agents and RAG pipelines. Every row is self-describing, inputs are plain strings, and the Actor can be called with no input at all.

What data you get from every Glassdoor job

One row per job listing. Every column below exists in the dataset schema; the Overview table view shows title, company, location, salaryMin, salaryMax, salaryCurrency, salaryPeriod, companyRating, postedDaysAgo, easyApply, url, status and error.

Row status and provenance

Field	Type	Description
url	string	Glassdoor job listing page (https://www.glassdoor.com/job-listing/...htm?jl=...). For not_found and error rows, the Glassdoor request that failed; its f_kw (keyword) and f_loc (location) parameters name the search.
status	string	ok, not_found or error (see the table below).
error	string	Reason when status is not ok. Absent on ok rows.
scrapedAt	string	ISO 8601 time of extraction.
searchKeyword	string	Keyword of the search that found the job.
searchLocation	string	Location you typed for that search.
searchUrl	string	The Glassdoor URL from your input that found the job, when you gave one.

Job

Field	Type	Description
jobId	string	Glassdoor's job listing id (the jl in job URLs). Use it to deduplicate across runs.
title	string	Job title as published.
occupation	string	Glassdoor's normalised occupation for the title, e.g. data analyst.
jobTypes	array	full-time, part-time, contract, temporary, internship, permanent, ... when Glassdoor tags them.
remote	boolean	True when the job is marked remote.
workplaceType	string	remote or hybrid, when Glassdoor says so.
easyApply	boolean	The job has Glassdoor's Easy Apply button.
sponsored	boolean	The listing is a sponsored (paid) placement.
postedDaysAgo	integer	Days since the job was posted on Glassdoor.
skills	array	Skills Glassdoor extracted from the posting, e.g. SQL, Spark, Communication skills.
tags	array	Other attributes: benefits, seniority, education, shifts, e.g. 401(k), Senior level, Bachelor's degree.

Company

Field	Type	Description
company	string	Hiring company name.
companyId	integer	Glassdoor employer id.
companyRating	number	The company's overall Glassdoor rating, 1 to 5. Absent when the company has no reviews.
companyLogo	string	Company logo image URL.

Location

Field	Type	Description
location	string	Location as Glassdoor shows it: Buffalo, NY, London, England, a state, or Remote.
locationId	integer	Glassdoor location id.
locationType	string	city, state, country or metro.

Pay

Field	Type	Description
salaryMin	number	Low end of the pay range (Glassdoor's 10th percentile).
salaryMedian	number	Middle of the range.
salaryMax	number	High end of the range (90th percentile).
salaryPeriod	string	hour, day, week, month or year.
salaryCurrency	string	ISO 4217 currency code, e.g. USD, GBP.
salaryIsEstimate	boolean	false when the employer published the pay, true when it is Glassdoor's estimate.

Posting text

Field	Type	Description
snippet	string	The description preview Glassdoor shows in search results. On every ok row.
description	string	The full description as plain text with line breaks, contact details removed. Only with Include full description on.
descriptionHtml	string	The full description as HTML, contact details removed. Only with Include description HTML on as well.
descriptionError	string	Why the full description is missing, when you asked for it and it could not be fetched.

A field is simply omitted when Glassdoor does not publish it. In the default run all 20 jobs had a title, company, location, posting age, skills and snippet; 19 had a salary range, 15 a company rating and 16 a job type.

Result status (tri-state output)

status	Meaning	Billed?
ok	The job was found and extracted.	Yes
not_found	Glassdoor answered, but the search has no matches, or the location you typed is not on Glassdoor.	No
error	Glassdoor could not be read after retries (network error, block, or a change on Glassdoor's side), or an input entry was not a Glassdoor search URL. error says why.	No

How to scrape Glassdoor jobs with this Actor

1. Open the Actor in Apify Console and click Try for free.
2. Type one or more Keywords (one search per line) and a Location (Chicago, IL, Texas, London, United Kingdom, Remote). Or paste Glassdoor search URLs from your browser into Glassdoor search URLs - they keep their own keyword, location and filters.
3. Optionally set Date posted, Job type, Remote jobs only, Easy Apply only, Minimum company rating and Radius.
4. Turn on Include full description if you need the complete posting text (billed as a separate event, only for jobs whose description was fetched).
5. Set Maximum jobs (start with the default 20 to see the output) and click Start.
6. Open the Output tab or Export the dataset as JSON, CSV, Excel, XML or HTML.

To automate it, use the API tab (Node.js, Python, curl examples) or add a Schedule.

Input

Every field is optional - the prefilled values already produce a complete run. See the Input tab for the full schema.

Field	Type	Default	When to change it
keywords	array of strings	["software engineer"]	The job titles or skills you want, one search per line, e.g. registered nurse, forklift driver.
location	string	empty (all locations)	City, state or country as you would type it on Glassdoor (Chicago, IL, Texas, London, Berlin, United Kingdom, Remote). The best match from Glassdoor's location list is used.
radius	integer	Glassdoor's default	Miles around a city: 0, 5, 10, 15, 25, 50 or 100.
datePosted	string	any	1, 3, 7, 14 or 30 days. Use 1 on a daily schedule so you only pay for fresh postings.
jobType	string	any	fulltime, parttime, contract, internship or temporary.
remoteOnly	boolean	false	Only remote jobs.
easyApplyOnly	boolean	false	Only jobs with Easy Apply.
minRating	string	any	1 to 4: only companies with at least that Glassdoor rating.
maxItems	integer	20	Your main spending cap: the Actor never saves more jobs than this, with or without descriptions. With several keywords or URLs it is split evenly between them.
includeDescription	boolean	false	Turn on for the full description of every job, billed as the job-details event only for jobs whose description was actually fetched. The run first opens one browser session, then adds one request per job. Measured on the platform in 18 description runs (2026-10-16): the session was ready 6 to 50 seconds after the run started in 16 of them (median about 20 seconds) and after 76 seconds once, when the first IP address was refused. In 1 run all four attempts were refused after about 90 seconds; its jobs were saved with the snippet and descriptionError.
includeDescriptionHtml	boolean	false	With full descriptions on, also save descriptionHtml.
startUrls	array of strings	one example search URL	Glassdoor job search URLs, e.g. https://www.glassdoor.com/Job/chicago-il-us-registered-nurse-jobs-SRCH_IL.0,13_IC1128808_KO14,30.htm, also from glassdoor.co.uk, .ca and the other Glassdoor sites. The URL's own filters (fromAge, jobType, minRating, applicationType, remoteWorkType, radius) are kept; a sortBy in the URL is ignored (see Limitations). When you type your own keywords, the built-in example URL is skipped.

There is no proxy field: the Actor always uses an Apify residential proxy, which Glassdoor requires. It is included in the price.

Example input (exactly the prefilled default):

{
    "keywords": ["software engineer"],
    "maxItems": 20,
    "startUrls": ["https://www.glassdoor.com/Job/new-york-ny-us-data-analyst-jobs-SRCH_IL.0,14_IC1132348_KO15,27.htm"]
}

A daily feed of fresh, well-rated nursing jobs in Chicago with full descriptions:

{
    "keywords": ["registered nurse", "nurse practitioner"],
    "location": "Chicago, IL",
    "datePosted": "1",
    "minRating": "4",
    "includeDescription": true,
    "maxItems": 300,
    "startUrls": []
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV or Excel. A real row from the default run (2026-10-16; tags shortened here), followed by what a search without matches returns:

[
    {
        "url": "https://www.glassdoor.com/job-listing/associate-business-analyst-client-macquarie-group-JV_IC1132348_KO0,33_KE34,49.htm?jl=1010156795869",
        "status": "ok",
        "scrapedAt": "2026-10-16T15:46:05.328Z",
        "jobId": "1010156795869",
        "title": "Associate Business Analyst, Client",
        "company": "Macquarie Group Limited",
        "companyId": 12088,
        "companyRating": 3.6,
        "companyLogo": "https://media.glassdoor.com/sql/12088/macquarie-group-squareLogo-1684797770187.png",
        "location": "New York, NY",
        "locationId": 1132348,
        "locationType": "city",
        "salaryMin": 145000,
        "salaryMedian": 155000,
        "salaryMax": 165000,
        "salaryCurrency": "USD",
        "salaryPeriod": "year",
        "salaryIsEstimate": false,
        "postedDaysAgo": 134,
        "easyApply": false,
        "sponsored": true,
        "jobTypes": ["full-time"],
        "remote": false,
        "occupation": "business analyst",
        "skills": ["Jira", "Kanban", "Analysis skills", "Requirements analysis", "Risk management", "Requirements management", "Communication skills"],
        "tags": ["Paid parental leave", "Requirements design", "Health savings account", "Disability insurance", "Mid-level", "Dependent care reimbursement", "Health insurance"],
        "snippet": "Macquarie Asset Management’s Digital Solutions team sits at the core of our digitalization strategy, enabling scalability, driving operational efficiency,…",
        "searchKeyword": "data analyst",
        "searchUrl": "https://www.glassdoor.com/Job/new-york-ny-us-data-analyst-jobs-SRCH_IL.0,14_IC1132348_KO15,27.htm"
    },
    {
        "url": "https://www.glassdoor.com/job-search-next/bff/jobSearchResultsQuery?f_kind=search&f_kw=zzqxqvbnonexistentjobxyz&f_loc=Seattle%2C+WA&f_lid=1150505&f_lt=CITY&f_max=5&f_i=0&f_p=1&f_n=0",
        "status": "not_found",
        "error": "No results for this page",
        "scrapedAt": "2026-10-16T15:40:39.875Z"
    }
]

With Include full description on, each row also carries description (plain text) and, with Include description HTML, descriptionHtml.

How much does it cost to scrape Glassdoor?

This Actor uses pay-per-event pricing. The residential proxy and the platform compute are included:

Event	Price	Charged when
Actor start	$0.005 per run	Once when the run starts. The platform charges one event per GB of memory and the Actor runs on 1 GB, so this is one event.
Job	$0.0003 per job ($0.30 per 1,000)	One job from the search results with status: ok was saved to the dataset.
Full job description	$0.001 per job ($1 per 1,000)	On top of the job, only with Include full description on and only when that job's full description was actually fetched and saved. A job that carries descriptionError instead is not charged this event.

What typical runs cost:

Run	Jobs	Descriptions	Price
Default run	20	off	$0.011 ($0.005 + 20 x $0.0003)
Daily feed	100	off	$0.035
Daily feed with descriptions	100	100	$0.135 ($0.005 + 100 x $0.0003 + 100 x $0.001)
Market scan	1,000	off	$0.305
Market scan with descriptions	1,000	1,000	$1.305

You are never charged for a row with status not_found or error. A job found by two of your searches is saved once. The free Apify plan's $5 of monthly credit covers about 16,000 jobs without descriptions, or about 3,800 with them. Small description runs are fine: 5 jobs with full descriptions cost $0.0115.

You can cap spending per run with Maximum jobs and with the run's Max total charge option; the Actor stops gracefully when either limit is reached and keeps everything it has already saved.

How it compares

This Actor reads the JSON that Glassdoor's own job-search page loads, 100 jobs per request, so a 1,000-job run takes well under a minute and needs no browser. Only full descriptions need one browser visit at the start of the run (see Input for measured times), after which they are read the same fast way. You get flat, typed columns (numbers for pay, booleans for remote and Easy Apply), skills on every row, and a tri-state status you can trust inside an automated pipeline.

It is not for you if you need company reviews, interview reports, salaries pages or anything inside a Glassdoor account; employer contact names, emails or phone numbers (this Actor removes them on purpose); or a vendor-backed feed with a stability guarantee.

Integrations, exports and API access

Results export to CSV, JSON, Excel, XML and HTML from the Output tab or the dataset API. From there, Apify integrations and webhooks push the same rows into Google Sheets, Airtable or a CRM, plus Slack, Amazon S3 or your own endpoint - directly, or through Zapier, Make and n8n. Add a Schedule with datePosted: "1" and today's new postings land in your sheet every morning.

The Actor can also be called from the Apify API (Node.js, Python and curl snippets are on the API tab), from the Apify MCP server, or by any AI agent that can call a tool: the inputs are plain strings and numbers, and every row carries status and error, so an agent can tell an empty search apart from a failure without parsing prose.

Tips

• Keep maxItems small while testing, then raise it.
• Put several keywords in one run instead of many single-keyword runs; you pay the start fee once. maxItems is split evenly across them.
• To cover a large market, split it into narrower searches (per city, per keyword, per job type) rather than one very deep search.
• Use jobId to deduplicate rows across scheduled runs.
• Leave Include full description off when the snippet, skills and tags are enough: the run is faster and each job costs $0.0003 instead of $0.0013.
• For the newest jobs, use Date posted (datePosted: "1" on a daily schedule) and sort by postedDaysAgo yourself.
• With full descriptions, batch your searches into one run instead of many small runs: the browser session is opened once per run.

Limitations

• Undocumented data source. The Actor reads the JSON behind Glassdoor's public job search. Glassdoor can change it at any time; when that happens rows come back as error (never silently wrong data) and the Actor is updated. Report it in the Issues tab.
• No date sort. Glassdoor's search does not return jobs in date order (it mixes in sponsored placements, and even its own "most recent" order is not by posting date), so this Actor does not offer a date sort it cannot keep. Use Date posted to get only fresh jobs; every row has postedDaysAgo.
• Depth per search. One search is read for at most 30 pages of 100 jobs, and Glassdoor itself usually stops earlier. Split large markets into narrower searches.
• Full descriptions depend on a short browser session that Glassdoor's security check accepts; the Actor tries up to four fresh IP addresses. In about one run out of ten none is accepted: the jobs are then still saved with the snippet and descriptionError, and charged only as jobs ($0.0003), not as full descriptions. Very long runs (over about 30 minutes) can lose the session part-way.
• Salary and rating are optional. Some listings carry no pay range, or only Glassdoor's estimate (salaryIsEstimate: true); companies without reviews have no rating.
• Location matching. A typed location uses Glassdoor's best match; for an exact place, paste a Glassdoor search URL instead.
• No login and no personal data. Company reviews, interview reports, member profiles and recruiter contact details are out of scope by design.
• Results reflect what Glassdoor published at the time of the run.

FAQ

Does this Actor need a Glassdoor account, an API key or my own proxy? No. You only need an Apify account. There is no login step, and the residential proxy is set up and paid for by the Actor.

Does it get the full job description? Yes, when you turn on Include full description. Every row always has the snippet Glassdoor shows in search results.

Does it work outside the United States? Yes. Type a location such as London, Toronto, Berlin or United Kingdom, or paste a search URL from glassdoor.co.uk, glassdoor.ca or another Glassdoor site. Pay comes in the local currency.

How do I get more results? Raise maxItems first. For very large markets, split the search into several narrower ones (per city, per keyword, per job type) and run them together.

Does it scrape Glassdoor reviews or salaries pages? No. This Actor is for job listings only; the salary range shown on each job is included.

What happens if Glassdoor changes something? Rows come back with status: error and a reason instead of silently wrong data, so your pipeline can alert on it. You are not billed for error rows. Report it in the Issues tab with the run ID.

Is it legal to scrape Glassdoor? Scraping publicly available data is generally legal, but you are responsible for how you use the output. Read the legal notice below and Glassdoor's terms of service, and do not collect personal data without a legitimate reason.

Can I sort by date? No: Glassdoor's search does not return jobs in date order, so the Actor does not pretend to. Use Date posted (1, 3, 7, 14 or 30 days) and the postedDaysAgo column.

Why did I get fewer rows than maxItems? The search had fewer matches, or the run hit your Max total charge limit. Check the run log for "Stopping gracefully".

Can I use this Actor from an AI agent or MCP client? Yes. It runs with no input at all, every row is self-describing (status plus error), inputs are plain strings, and results can be fetched via the dataset API or the Apify MCP server.

Related Actors

• LinkedIn Jobs Scraper - use it for the same searches on LinkedIn, with seniority and applicant counts.
• ATS Jobs Scraper - use it to read every opening straight from a company's own applicant-tracking system.
• Dice Jobs Scraper - use it for US tech roles with skills and a visa-sponsorship flag.
• Remote Jobs Scraper - use it for remote roles from remote-only job boards, merged and deduplicated.
• Seek Jobs Scraper - use it for Australia and New Zealand, where Seek is the leading board.
• JobStreet Scraper - use it for Southeast Asia (Malaysia, Singapore, Philippines, Indonesia).
• Indeed Scraper - use it for Indeed job postings in 22 countries with parsed salary ranges and full descriptions.
• Google Jobs Scraper - use it to collect job postings that Google aggregates from many job boards in one search.

Legal and data-protection notice

This Actor extracts only job listings that Glassdoor publishes publicly; it does not extract private user data such as reviewer or recruiter names, email addresses, phone numbers, gender or precise location of individuals (contact details found in free-text job descriptions are removed before the row is saved), and it does not log in or work around access controls. However, your results could still contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you are unsure whether your reason is legitimate, consult your lawyers. You are responsible for complying with Glassdoor's terms of service and applicable law when using the extracted data.

This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by Glassdoor, Inc. or its owners. All trademarks belong to their respective owners.