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Data API•Managed extraction

Glassdoor Scraper API for Employer Data

Get structured Glassdoor data on jobs, advertised salaries, employer ratings and workplace reviews.

Structured records · Parser maintenance included

GlassdoorData API
Source

Job opportunity pages

Managed extractionAccess, extraction and parser maintenance

Example fields

  • Role and employer identity
  • Displayed salary range
  • Review themes and workplace sentiment

Glassdoor: example source and field groups.

Available data

Glassdoor pages you can collect

Choose the pages that match your project, then check field coverage in a sample.

01

Job opportunity pages

Select representative pages for the records your project needs.

02

Employer profile and rating pages

Compare feedback with its source, date and rating where displayed.

03

Salary, interview, and review pages

Compare feedback with its source, date and rating where displayed.

Structured output

Glassdoor data fields

Field availability varies by page. Check a representative sample before choosing the fields for your project.

01

Role and employer identity

Link the observation to the right item and source.

02

Location and workplace model

Compare records within the relevant market or location.

03

Displayed salary range

Keep currency, terms and collection time with displayed values.

04

Responsibilities and requirements

Describe the role using the information shown in the listing.

05

Employer rating breakdown

Keep counts, scores and text distinct when comparing feedback.

06

Review themes and workplace sentiment

Keep counts, scores and text distinct when comparing feedback.

07

Interview and benefits context

Preserve these details with the corresponding source record.

08

Posting date and opportunity status

Record the state shown at collection time.

How it works

From Glassdoor pages to useful records

  1. 01

    Share example pages

    Send a few URLs and the markets or locations you need.

  2. 02

    Review a sample

    Check useful fields, missing values and source links before choosing a plan.

  3. 03

    Agree delivery

    Set record volume, refresh frequency and how the data reaches your application.

  4. 04

    Put the data to work

    WebScrapingAPI runs collection and maintains extraction as the source changes.

Managed maintenance

We maintain collection. You use the data.

WebScrapingAPI

Collection and maintenance

  • Source access
  • Data extraction
  • Parser updates
  • Quality monitoring

Your team

Your data project

  • Choose pages and markets
  • Select the fields you need
  • Set delivery and refresh requirements
  • Build your analysis and applications

Get started

Try Glassdoor data in your workflow

Sample data

Check the sample against your own requirements

Check field coverage, missing values and source links in your own tools.

Talk to a data expert

FAQ

Glassdoor API questions

What Glassdoor data can I collect?

Get structured Glassdoor data on jobs, advertised salaries, employer ratings and workplace reviews.

Which fields are available?

Field availability varies by page. Check a representative sample before choosing the fields for your project.

How do I get started with Glassdoor data?

Send example URLs, the fields you need and your expected volume. Review a sample with our team, then agree coverage, delivery and pricing.

Who maintains Glassdoor extraction?

WebScrapingAPI operates source access, extraction, parser maintenance and quality monitoring. Your team decides how to use the records in its applications and analysis.

How is Glassdoor data priced?

Pricing depends on the source pages, fields, volume, refresh frequency and delivery method. Request a quote for the collection you need.

Your Glassdoor data

Request Glassdoor sample data

Share example pages, required fields and refresh frequency. We will help you evaluate coverage and delivery.