Platform · Glassdoor listings

Glassdoor Data Scraping

Glassdoor's pay numbers come from people reporting pay. They describe a market, not a job advert.

Glassdoor data scraping collects public job listings and employer-level figures from Glassdoor, which legally merged into Indeed on 1 July 2026. Listings largely overlap with Indeed's, so each is matched and counted once. Glassdoor's salary figures are crowdsourced estimates, recorded with that label and never mixed with pay an employer posted. Employer ratings are taken as aggregates; review text and reviewers are not collected. Postings are deduplicated to one vacancy, salary stays empty where it is not published, and no candidate data, recruiter contact or login-only network is ever collected.

A crowdsourced salary and a posted salary answer different questions. Both are useful; mixing them is not.

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Free pilot on your own Glassdoor listings list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

glassdoor_sample.jsonl LIVE FEED

{"posting_key":"pk-10442","indeed_match_key":"pk-10442","counted_once":true} {"pay_source":"crowdsourced_estimate","estimate_low":58000,"estimate_high":81000} {"employer_rating":3.9,"rating_count":1240,"review_text":null}

illustrative sample rows · globalestimates and adverts · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Glassdoor listings or its owners. Glassdoor listings and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Glassdoor listings at a glance

How we handle Glassdoor listings specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Site: Glassdoor — part of Indeed since 1 Jul 2026
Listings: Largely overlap with Indeed
So: matched and counted once
Salaries: Crowdsourced estimates
Posted pay: Kept separate
Ratings: Employer-level aggregates only
Reviews: Text and reviewers not collected
Refresh: Daily for listings; monthly for aggregates

Platform specifics

Estimates and adverts

These are the reasons a Glassdoor listings dataset needs its own handling rather than a shared retail schema.

Two kinds of pay

Glassdoor shows salary figures reported by users and, on listings, sometimes an estimated range; employers may also post pay.

pay_source — employer_posted or crowdsourced_estimate — on every figure.
estimate_sample_note where Glassdoor states the basis.
employer_rating and rating_count as aggregates, dated.
indeed_match_key on every listing.

The merger, and what we do not do

The merger

Since November 2025 new users sign in with Indeed accounts, and the companies merged legally in July 2026. Listing records follow our Indeed page.

Duplicates

Copies are collapsed to one canonical posting with every source counted, as the recruitment hub describes.

What we do not do

Collect review text, reviewer details or user profiles, use accounts, mix estimates into posted-pay benchmarks, or collect recruiter contacts.

Scope

What we collect on Glassdoor listings, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Listings matched to Indeed
Pay source on every figure
Estimate basis where stated
Employer rating aggregates, dated
Posted pay null if unpublished
Agency postings flagged
Lifecycle dates
Merger events dated
Daily refresh for listings

❌ What we do not, and why

Review text or reviewer details
User profiles or accounts
Estimates mixed into posted pay
Recruiter contacts
Overlapping listings counted twice

Core Glassdoor listings fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
posting_key / indeed_match_key	Canonical; matched
title_raw / title_normalised	As posted; taxonomy
company / company_domain	As posted; resolved
salary_min / max / currency / period	Null if unpublished
pay_source	employer_posted or crowdsourced_estimate
estimate_low / estimate_high	Labelled
employer_rating / rating_count	Aggregate, dated
location / work_mode	As posted
is_agency_posting	Flag
first_seen / closed_at	Dates
sources_seen	Count

Use cases

What teams do with Glassdoor listings data

Pay context

Crowdsourced estimates beside posted pay, labelled.

Employer brand tracking

Rating aggregates over time.

Hiring demand

Listings counted once with Indeed.

Market research

Employer-level signals, no individuals.

The 24-hour sample — run on your sources, not ours

Send us a Glassdoor listings item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Glassdoor listings is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Glassdoor listings data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what jobs & recruitment data covers, and a Glassdoor listings-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Glassdoor listings data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

It merged legally into Indeed on 1 July 2026; the brand continues.

They are crowdsourced estimates. We label them and keep them out of posted-pay figures.

Only employer-level rating aggregates. No review text or reviewers.

No. They are matched to Indeed.

Never.

Usually added to an Indeed scope.

Talk to us.

See real Glassdoor listings data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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