Glassdoor Scraper

Millions of reviews, salaries, and interview stories — all in one place. Our Glassdoor scraper connects you to one of the most trusted global sources of workplace intelligence. Use it to evaluate competitors, monitor employer branding, or enrich your own job platform with verified insights.

Glassdoor Scraper
Solutions

Glassdoor Data Scraper

ScrapeIt works like your personal Glassdoor data scraper — but without the need to build or maintain a thing. We extract exactly the information you need: reviews, salaries, interview questions, job listings, and more. You tell us what to collect — we handle the rest.

We deliver ready-to-use data in your preferred format — CSV, Excel, JSON — cleaned, structured, and tailored to your request. Our focus is speed, accuracy, and clarity — so you get the full value of Glassdoor data without the usual friction.

What We Extract from Glassdoor

Using our Glassdoor scraper, we extract the key elements visible on each company profile. This includes employee reviews with detailed commentary on pros and cons, star ratings, and metrics like CEO approval, culture, work-life balance, compensation, and career growth. We also gather salary reports by role, company, and location — submitted anonymously by employees and candidates.

In addition, our scraper collects interview experiences: types of questions asked, hiring timelines, difficulty ratings, and outcomes. Where available, we also extract office photos and company descriptions. Everything is presented as seen on Glassdoor — structured, categorized, and ready for analysis.

What We Extract from Glassdoor
What Else Can Be Scraped from Glassdoor Scraper

What Else Can Be Scraped from Glassdoor Scraper

Beyond the core content, Glassdoor scraper can capture additional layers of insight. These include segmented ratings by category (culture, management, diversity, etc.), trends and keywords extracted from reviews, and aggregated sentiment data.

We also collect employer response rates to reviews, approval percentages, and whether employees would recommend the company to a friend. In interview sections, we extract breakdowns by position and location, as well as interview formats (in-person, phone, online). This data helps build a full picture of the employer brand and candidate experience.

About Glassdoor.com

Glassdoor is a global platform that helps people make informed career decisions by providing insights into company culture, compensation, and hiring practices. Founded in 2007 and now part of Recruit Holdings (alongside Indeed), it hosts millions of reviews, salary reports, and interview descriptions submitted anonymously by employees and candidates.

The platform operates in over 20 countries and supports multiple languages, including English, German, French, Spanish, and Portuguese. It offers localized domains for regions like the UK, Germany, France, Brazil, and more. Currency and salary data adapt to the local market. Companies on Glassdoor are ranked across multiple categories, and job seekers use it to evaluate potential employers beyond what’s written in job ads.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for Glassdoor Data Scraping

Customized scraping setup for Glassdoor — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
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+
+
+
+
+
+
Custom requirements
+
+
+
+
+
+
+
Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
+
+
+
+
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Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
+
Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
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Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
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1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
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Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
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-
-
+
+
+
+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
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-
-
-
-
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Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
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SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
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Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
-
30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
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499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
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Data limits (rows): a 100+ row piece

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Iterations: 1

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Custom requirements: No

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Data lifetime: up to 3 month old

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Data quality checks: No

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Delivery deadline: 1 working day

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Sample Dataset

50
/ source
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Data limits (rows): up to 10%

icon-check

Iterations: up to 3

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Custom requirements: Yes

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Data lifetime: up-to-date

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Data quality checks: Yes

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Delivery deadline: 1-2 working days

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Get data sample

Why Scrape Glassdoor?

To make smart hiring or business decisions, you need to go beyond job titles and descriptions. When you scrape Glassdoor, you gain access to real employee sentiment, company perception, and interview experiences — all from the people who’ve actually been there.

For employers, it’s a way to monitor reputation and benchmark against competitors. For marketplaces and platforms, it's a valuable source of content to enrich listings. For analysts, it reveals patterns in employer branding, culture shifts, and compensation trends. Whatever your case, scraping Glassdoor gives you an unfiltered view of the workplace.

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About ScrapeIt

ScrapeIt is a data delivery service — we extract exactly the information you need from specific platforms and deliver it in a clean, structured format. No scrapers to build, no tools to learn. Just tell us what you're looking for, and we’ll provide ready-to-use data tailored to your goals.

We handle everything: from the extraction process to formatting and quality control. Whether you need a one-time export or scheduled updates, we make web data collection simple and scalable.

FAQ

How accurate is the job data from Glassdoor?

It reflects real employee input, making it a reliable source for trends and patterns.

Can I export reviews by job title or location?

Yes, we can filter data by role, location, or other parameters you need.

Is parsing Glassdoor data stable?

Yes, we maintain and adjust our extractor to keep it stable over time.

Why use an extractor instead of browsing manually?

You get more data, faster — without limits or manual effort.

Can I combine this with other job data sources?

Yes, we can align Glassdoor data with other platforms in one export.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
scrapiet

Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582