Glassdoor Jobs Scraper (with the employer's rating on every job)

Live Glassdoor job listings as clean JSON, and every row already carries the hiring company's own Glassdoor star rating. That one field is the reason this actor exists: you can ask for "software engineer jobs in Austin at companies rated 4.0 and up" and get exactly that back, in one pass, instead of scraping the jobs first and then scraping company profiles to find out who is worth applying to.

No login. No cookies to paste. No API key. One flat price per job, platform usage included, so the number you see is the number you pay.

What it costs

Event	Price, all-in
Each job returned	$0.40 per 1,000
Run start	$0.001

Platform usage (compute, proxies) is included in those prices. Glassdoor's own job-search endpoint answers without a proxy, and that saving is already in the number. A search that matches nothing is never billed beyond the start fee, and a listing your filters drop is never billed at all.

The rating filter, and why it is not a checkbox anyone else can add

Glassdoor puts the employer's rating inside the job payload. Every other job scraper in this category throws it away, so filtering by company quality means a second scrape and a join. Here it is one input.

Two details that matter if you rely on it:

• Glassdoor's own rating filter is approximate. Ask its website for 4.0 and it hands back companies rated 3.9, and promoted listings sail past the filter entirely. On a measured run of "software engineer in Austin, TX" with Glassdoor's 4.0 filter on, 38 of 275 listings (14%) came back below 4.0.
• So the bar is applied again on every row here, before you are charged for it. Set 4.0 and you get 4.0, and the run's status message tells you how many listings were dropped and why.

About one job in six is posted by a company Glassdoor has no rating for, usually a small employer or a recruiter. Those rows are dropped when you set a minimum rating, unless you switch on Keep companies Glassdoor has not rated.

Glassdoor job data without the subscription

	This actor	Glassdoor's own site	A job-data subscription
Get the data as JSON/CSV	yes, every run	copy and paste	yes
Employer star rating on the job row	yes, on every row	one company page at a time	rarely
Filter jobs by employer rating	yes, exact	approximate, and promoted ads ignore it	no
Pay range on the row	yes, with the estimate flag	yes, on screen	varies
Skills and keywords pulled from the ad	yes	no	varies
Cost	pennies per thousand jobs	free but manual	hundreds per month
Login or API key	none	none	account required

What you get

One record per job listing:

Field	Description
jobId	Glassdoor's listing ID
title	Job title as advertised
companyName	Hiring company or recruiter
companyRating	The company's Glassdoor star rating, e.g. 4.1. Empty when Glassdoor has no rating for it
companyId	Glassdoor's employer ID, stable across that company's listings
companyUrl	The company's Glassdoor page
companyLogoUrl	Company logo, when the listing has branding
location	City and state as Glassdoor shows it, e.g. Austin, TX
locationId	Glassdoor's location ID
locationType	C city, S state, N country, M metro
salaryMin, salaryMedian, salaryMax	Pay range for the role, 10th, 50th and 90th percentile
salaryCurrency	e.g. USD
salaryPeriod	ANNUAL or HOURLY
salaryIsEstimate	false when the employer stated the pay, true when Glassdoor estimated it
salaryText	The same range as one readable line, e.g. USD 106,425 - 163,174/yr
easyApply	Whether you can apply on Glassdoor itself
isSponsored	Whether the listing is promoted
isExpired	Whether Glassdoor has already closed it
ageInDays	Days since it was posted
postedDate	The posting date as YYYY-MM-DD
occupation	Glassdoor's normalised occupation, e.g. machine learning engineer
normalizedTitle	The title in Glassdoor's normalised form
skills	Skills named on the listing, e.g. ["Python", "SQL", "C++"]
jobAttributes	Every keyword Glassdoor extracted from the ad, seniority and requirements included
teaser	The summary line from the search card
jobUrl	Direct link to the listing
applyUrl	The apply link
searchKeyword	Which of your keywords found this row
searchLocation	The location you searched, as Glassdoor resolved it
source	glassdoor.com
scrapedAt	When the row was collected

Who uses it

Recruiters and staffing agencies. Pull every open role in a city, keep the ones at companies rated 4.0 and up, and you have a call list of employers whose candidates will actually accept an offer. companyId groups every listing by employer, so a company hiring twelve roles at once stands out immediately.

Job seekers and career coaches. "Show me remote data roles posted this week at companies rated 4.0+, paying at least $140k." One run, one spreadsheet, no clicking through company profiles to find out who is a bad place to work.

Market and salary researchers. salaryMin/salaryMedian/salaryMax with the estimate flag, plus occupation and skills, gives you a pay-and-skills picture per city that you can rebuild every week and diff.

Sales teams selling to hiring companies. A company posting fifteen engineering roles is buying tooling. Filter by location, group by companyId, and sort by how many listings each company has open.

How to use it

Type a job title and a place, the way you would on the site:

{
  "keywords": ["software engineer"],
  "location": "Austin, TX",
  "minEmployerRating": "4.0",
  "maxItems": 200
}

Several searches in one run, merged and de-duplicated on the listing ID:

{
  "keywords": ["data engineer", "machine learning engineer", "data scientist"],
  "location": "Texas",
  "minEmployerRating": "4.0",
  "maxAgeDays": "7",
  "sortBy": "date",
  "maxItems": 500
}

A daily feed of brand-new remote roles at well-rated companies:

{
  "keywords": ["product manager"],
  "location": "United States",
  "remoteOnly": true,
  "maxAgeDays": "1",
  "minEmployerRating": "4.0",
  "sortBy": "date",
  "maxItems": 200
}

Or paste a Glassdoor search link straight from your address bar and let the filters do the rest:

{
  "searchUrls": ["https://www.glassdoor.com/Job/austin-tx-software-engineer-jobs-SRCH_IL.0,9_IC1139761_KO10,27.htm"],
  "minEmployerRating": "3.5",
  "easyApplyOnly": true,
  "maxItems": 100
}

FAQ

Does it need a Glassdoor login or an API key? No. It reads the same public job-search data Glassdoor's own website loads, and it never touches a signed-in page.

How many jobs can one search return? Glassdoor serves at most 900 results for a single search, in 30 pages of 30. Past that the site simply stops answering, so the run says so by name instead of pretending the results ran out. To go deeper, split the search: several keywords, or one city at a time instead of a whole state.

Why did I ask for 300 jobs and get 237? Because your filters dropped the rest, and you were not charged for them. The status message at the end of every run breaks it down, for example "38 listing(s) were dropped by your filters (38 below your rating bar)".

Is the salary real or estimated? Both appear, and salaryIsEstimate tells you which. Most listings carry Glassdoor's own estimate for the role; some carry the range the employer published.

Can I filter by company rating with decimals like 4.2? The dropdown offers half steps up to 4.5. If you need a finer bar, set the nearest step and filter companyRating yourself in the output; the exact number is on every row.

Why do some rows have no rating? Glassdoor has not collected enough reviews for that employer yet. The field is left empty rather than filled with a guess, and those rows are dropped when you set a minimum rating unless you ask to keep them.

Does it collect anything about people? No. Job listings and company-level data only. No reviewer profiles, no reviews, no applicants, no personal data of any kind.

What happens if Glassdoor blocks the run? The actor tries a second browser fingerprint, and if the block holds it stops rather than paying to hammer a wall. Whatever it already collected stays in the dataset, and the run's status message names the block and the HTTP status.

Related actors

• SEEK Jobs Scraper for Australia
• LinkedIn Company Jobs for every open role at a named company
• LinkedIn Remote Jobs for remote-only listings
• Verified Hiring Employers to check which companies are genuinely hiring
• ATS Jobs Aggregator for listings straight off company career sites

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