---
title: "Glassdoor Jobs"
slug: jobs
date: 2026-10-11T11:44:56+00:00
modified: 2026-10-12T10:45:12+00:00
permalink: https://brightdata.com/products/datasets/glassdoor/jobs
type: page
---

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# Glassdoor Jobs Dataset

The Glassdoor jobs dataset provides structured job listing data from Glassdoor. Each record includes the job title, location, and overview, Glassdoor and employer pay estimates, and the hiring company’s ratings, size, industry, and revenue, so you can track hiring demand and pay at scale.

Contact sales[Start with Google](#)

  Data-fields

 38

 Total records

 4M+

 Starts at

 Up to $0.0025 per record

 Min Order

 $250















[Available Datasets](#datasets_new)

[Pricing](#anc_dspricing)

[Bundles](#anc_bundle)

[FAQs](#anc_faq)

Get dataset







## Available Glassdoor datasets

Access fresh validated Glassdoor data. Ensure hassle-free data access by using ready-made datasets.

- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data

    ### Glassdoor companies overview information

ID, Company, Ratings overall, Details size, Details founded, Details type, Country code, Company type, and more.

Business

Popular

Enriched



4.6K+

1.3K+

 Buy Now





### Glassdoor companies reviews

Overview id, Review id, Review url, Rating date, Employee job end year, Employee length, Employee responses, Employee status, and more.

Business



3.6K+

583+

 Buy Now





### Glassdoor job listings information

URL, Company url overview, Company name, Company rating, Job title, Job location, Job overview, Company headquarters, and more.

Business



2.6K+

354+

 Buy Now





 The dataset you're looking for is on its way

 Let us know what you need, and we’ll have it ready for you soon!



 Get dataset







## Trusted by 50,000+ customers worldwide



























































### Glassdoor Jobs Datasets Pricing

Refresh rate



   One-time





   Biannual

 Save 25%





   Quarterly

 Save 50%





   Monthly

 Save 80%

















 100K

500K

1M

5M

20M

Complete
Dataset

3TB





- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet







- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet









   Your browser does not support the video tag.

### Filter the Glassdoor Jobs dataset with a single prompt

Describe exactly what you need, and let AI apply the perfect filters in seconds.

- Describe data needs in plain English
- AI applies accurate filters automatically
- Narrow huge datasets to only what matters to you
- Cut costs by skipping irrelevant data
- Export filtered data in your preferred format





Available delivery options





## Maximize value with strategic cost savings



### Smart data updates

Access only "New Records" or "Updated Records," ensuring you pay only for what you need".





### Dataset bundles

Gain greater value by purchasing two or more datasets together, with exclusive discounts.





### Volume discounts

Get more for less with significant savings when purchasing large datasets or updates subscriptions.





### Enriched Datasets

Save time and resources with pre-built datasets that combine multiple sources into one clean dataset.





Buy dataset



## Glassdoor jobs dataset sample

Use our Glassdoor Jobs dataset to access job-level data, including job title, location, job overview, pay range and median pay, application link, and company ratings, size, industry, and CEO approval.



  Data sample   Dictionary





   Search attribute









## Other Glassdoor datasets



 [### Glassdoor Companies Dataset

Get company overviews with overall and category ratings, CEO approval, size, industry, revenue, headquarters, and competitors to compare employers.

 ](/products/datasets/glassdoor)

 [### Glassdoor Reviews Dataset

Access employee reviews with pros, cons, advice to management, job titles, and ratings for culture, pay, and leadership to measure employee sentiment.

 ](/products/datasets/glassdoor/reviews)





## Power AI Agents Instantly

#### Our Glassdoor Jobs datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.



### Structured &amp; Clean

Pre-processed data with consistent schemas, perfect for AI model training and inference.







### Code Examples

Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.







### Documentation

Comprehensive guides and notebooks for ChatGPT, Claude, and other LLM integrations.









  cURL
                              ```bash
curl --request GET 
--url https://api.brightdata.com/datasets/snapshots/{id}/download 
--header 'Authorization: Bearer <token>'
                              </token>
```












  Python
                              ```python
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.json())
                              </token>
```












  Javascript
                              ```javascript
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}, body: undefined};

try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
                              </token>
```












  Java
                              ```java
HttpResponse<string> response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer <token>")
.asString();
                              </token></string>
```












  Ruby
                              ```ruby
require 'uri'
require 'net/http'

url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body
                              </token>
```






















Buy dataset







## Glassdoor Jobs datasets tailored to your needs

Get easy to use, well-structured datasets for any use case







### Data subscription

Subscribe to access datasets at a significantly reduced cost.







### File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.







### Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.







### Scalable data

Scale without worrying about infra, proxy servers, or blocks.







### Cost savings

Customize any dataset using filters and formatting options.







### Code maintenance

Datasets are maintained based on website structure changes.







### Simplified integrations

Benefit from integrations with Snowflake and AWS.







### 24/7 support

A dedicated team of data professionals is here to help.







### Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.











## Get structured and reliable Glassdoor jobs data

Buy now





 ## We’ll provide the data while you focus on the rest



### High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.







### Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.







### Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.











Use cases

## Glassdoor Jobs dataset use cases

Trusted and verified Glassdoor Jobs data for your business.



#### Salary benchmarking

Pay range

Median pay

Job title



 Compare Glassdoor and employer pay estimates for the same role across locations and companies to set competitive salary bands and hiring offers.





#### Hiring demand tracking

Job title

Job location

Company industry



 Track which roles, industries, and cities are hiring most, and spot shifts in demand early to guide recruiting, workforce planning, or market research.





#### Employer comparison

Company rating

CEO approval

Benefits rating



 Weigh open roles against each employer's ratings for culture, compensation, work-life balance, and leadership to see how companies compete for talent.





#### Sales lead generation

Company size

Company revenue

Company website



 Find companies that are actively hiring, filter them by size, revenue, and sector, and reach out while they are growing their teams.









## Glassdoor Jobs Dataset FAQs

[### How often is the Glassdoor Jobs dataset updated?](<#How often is the Glassdoor Jobs dataset updated?>)The Glassdoor Jobs dataset is available with flexible refresh schedules: one-time, bi-annual, quarterly, monthly, weekly, or daily - with deeper discounts for higher-frequency subscriptions (up to 80% off on monthly plans). You can also choose between **pre-collected data** (instantly available, collected within the last days to months) or **freshly collected data** gathered on-demand at the time of your order. The freshness window can be defined before checkout.

[### Can I purchase a subset of the Glassdoor Jobs dataset?](<#Can I purchase a subset of the Glassdoor Jobs dataset?>)Yes. You can filter the Glassdoor Jobs dataset to include only the records and data fields you need - by geography, timeframe, category, or any supported field - using Bright Data's AI-powered filter tool or the [Filter Dataset API](https://docs.brightdata.com/api-reference/marketplace-dataset-api/filter-dataset). You only pay for the records in your filtered snapshot, which can substantially reduce cost. Filters support operators like equals, includes, greater than, is null, and more, with up to 3 levels of nested logic.

[### What formats and delivery options are available for the Glassdoor Jobs dataset?](<#What formats and delivery options are available for the Glassdoor Jobs dataset?>)The Glassdoor Jobs dataset is delivered in your choice of **JSON, NDJSON, JSON Lines, CSV, XLSX, or Parquet**, with optional **.gz compression**. Delivery destinations include: **Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Snowflake, Google PubSub, SFTP, Webhook, or Email**. You can also download directly via the Control Panel (up to 5 GB) or retrieve programmatically via the [Snapshot Download API](https://docs.brightdata.com/api-reference/marketplace-dataset-api/download-the-file-by-snapshot_id). For snapshots larger than 5 GB, download links are sent by email.

[### Can I get a free sample of the Glassdoor Jobs dataset before purchasing?](<#Can I get a free sample of the Glassdoor Jobs dataset before purchasing?>)Yes. Every dataset in the Bright Data Marketplace - including the Glassdoor Jobs dataset - offers a downloadable data sample at no cost. You can preview the data schema, field definitions, and a representative set of records to evaluate quality, coverage, and relevance before committing to a purchase. Samples are available directly from the dataset page in the [Bright Data Marketplace](/products/datasets).

[### Can I request specific data fields or a custom version of the Glassdoor Jobs dataset?](<#Can I request specific data fields or a custom version of the Glassdoor Jobs dataset?>)Yes. You can customize the Glassdoor Jobs dataset to include only the specific fields you need, hiding irrelevant columns to reduce cost and simplify integration. For more advanced needs - such as a proprietary data schema, enriched fields, or a source not currently in the marketplace - Bright Data's team can build a custom dataset tailored to your requirements. Contact the sales team to discuss your use case.

[### How does the Glassdoor Jobs dataset integrate with my existing systems and workflows?](<#How does the Glassdoor Jobs dataset integrate with my existing systems and workflows?>)The Glassdoor Jobs dataset is built for seamless integration. You can pull data programmatically using the [Marketplace Dataset API](https://docs.brightdata.com/api-reference/marketplace-dataset-api/filter-dataset) (with SDKs available for Python and JavaScript), push results directly to your data warehouse or cloud storage, or connect via native integrations with tools like **Snowflake, AWS, Google Cloud, Databricks**, and automation platforms like **Zapier, Make.com, and n8n**. The async workflow (trigger - poll - download) makes it easy to embed into any pipeline.

[### Is the Glassdoor Jobs dataset ethically sourced and legally compliant?](<#Is the Glassdoor Jobs dataset ethically sourced and legally compliant?>)Yes. All Bright Data datasets - including Glassdoor Jobs - are collected exclusively from **publicly available online sources** in compliance with applicable laws and regulations, including **GDPR, CCPA**, and Bright Data's own Code of Ethics. Bright Data holds **ISO 27001 certification** and is SOC 2 compliant. Data undergoes rigorous quality assurance before delivery. You can review Bright Data's full compliance posture at the [Trust Center](/trustcenter).

[### What does the Glassdoor Jobs dataset cost, and are there volume discounts?](<#What does the Glassdoor Jobs dataset cost, and are there volume discounts?>)Pricing for the Glassdoor Jobs dataset starts at **$250 for 100K records** (approximately $0.0025 per record) for a one-time purchase. Subscription plans unlock significant savings: up to **25% off bi-annual, 50% off quarterly, and 80% off monthly** refresh plans. Volume tiers are available for 100K, 500K, 1M, 5M, and 20M+ records. Dataset bundles (purchasing two or more datasets together) and smart update options (paying only for new or changed records) provide additional savings. For enterprise-scale pricing, contact the Bright Data sales team.

[### What is a snapshot, and how does the Glassdoor Jobs dataset delivery process work?](<#What is a snapshot, and how does the Glassdoor Jobs dataset delivery process work?>)When you order the Glassdoor Jobs dataset - or filter it via API - Bright Data generates a **snapshot**: a point-in-time export of your selected records. The async workflow runs as follows: (1) your order or API call **triggers** the collection job; (2) you can **poll** the job status using the snapshot ID; (3) once complete, you **download** the snapshot via the API or your configured delivery destination. Snapshot metadata (including error codes and initiation type) is accessible via the [Snapshot Metadata API](https://docs.brightdata.com/api-reference/marketplace-dataset-api/get-snapshot-meta).

[### Can I use the Glassdoor Jobs dataset for AI and machine learning projects?](<#Can I use the Glassdoor Jobs dataset for AI and machine learning projects?>)Yes. The Glassdoor Jobs dataset is structured and validated for immediate use in AI and ML workflows, including **LLM fine-tuning, model training, RAG pipelines, and agent knowledge bases**. Data is delivered in standard ML-ready formats (JSON, Parquet, NDJSON) with consistent schemas and documented field definitions accessible via the [Dataset Metadata API](https://docs.brightdata.com/api-reference/marketplace-dataset-api/get-dataset-metadata). Bright Data also offers specialized AI data packages and a web archive with 50+ PB of historical data for large-scale pre-training.

[### What fields does one Glassdoor Jobs record include?](<#What fields does one Glassdoor Jobs record include?>)One record in the Glassdoor Jobs dataset corresponds to a single entity — for example, one person profile, one product listing, one post, or one company — depending on the dataset type. Each record contains all the data fields collected for that entity in a single row or JSON object. The exact fields vary by dataset: for example, a LinkedIn profile record includes fields such as name, current title, company, location, experience history, education, skills, and connections count (42 fields total), while an Amazon product record includes title, brand, ASIN, price, availability, ratings, reviews count, and seller details. You can view the full list of fields — along with descriptions and data types — in the **Data Dictionary** tab on this page, or download a free sample to inspect a representative set of real records before purchasing. If you need only a subset of fields, you can hide irrelevant columns at checkout to reduce cost and simplify integration.

[### How many Glassdoor Jobs records do I need?](<#How many Glassdoor Jobs records do I need?>)The number of records you need depends on your use case. As a general rule, one record equals one entity (one person, one product, one post, one company, etc.). Here are common reference points to help you estimate:

- **Proof of concept / MVP:** 100K records ($250 one-time) is typically sufficient to validate a model, test a pipeline, or build an initial dataset.
- **Mid-scale analysis:** 500K to 1M records covers most market research, competitive intelligence, or training data projects.
- **Production pipelines:** 5M to 20M+ records are suited for large-scale AI training, enterprise enrichment, or full-market coverage.

If you are unsure, download the free sample from this page to understand record density and field coverage, then use the [AI-powered filter tool](\"/products/datasets\") to scope your dataset by geography, category, date range, or other criteria. You will see an estimated record count before committing to a purchase. For complex use cases or large volumes, [contact the sales team](\"#popup-160692\") for a scoped recommendation.



## Get your Glassdoor jobs dataset today.

Buy dataset
