Glassdoor Review Exporter
By
Extract company reviews from Glassdoor, including ratings, summaries, pros, cons, and employee details, into a structured table for easy analysis.
Export Glassdoor Reviews in SecondsScrape company reviews from Glassdoor and organize them into a clean, structured table with just a few clicks.
Install fromChrome Web Store
Export Glassdoor Reviews in Seconds
Thunderbit lets you collect detailed company reviews from Glassdoor, including ratings, summaries, and employee information, all in a single export. No manual copy-paste—just input the company URL and get a ready-to-use table for your analysis or reporting needs.
With support for subpage scraping and data export to Google Sheets, Airtable, or Notion, Thunderbit makes it simple to gather, format, and share review data. Use AI-powered field suggestions to structure your data and save time on repetitive research tasks.
How to Export Glassdoor Reviews Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionNavigate to the Glassdoor company reviews page you want to extract data from. Open the Thunderbit Chrome Extension and select the 'Glassdoor Review Exporter' tool. Enter the Glassdoor company reviews page URL in the provided field.
STEP 3Click the Export Reviews ButtonClick the 'Export Reviews' button. Thunderbit will scrape the latest review, including company name, overall rating, review summary, pros, cons, employee job title, status,and location. Once the data is displayed in a table, you can download it as a CSV file.
Learn how to export company reviews from Glassdoor
Extract Detailed Company Reviews
The Glassdoor Review Exporter allows you to collect comprehensive review data from any company's Glassdoor page. By entering the company’s review URL, you can gather information such as review summaries, overall ratings, pros and cons, employee job titles, and more. This tool is ideal for HR professionals, recruiters, and business analysts who need structured insights into employee sentiment and workplace culture.
Organize Review Data in a Structured Table
With this tool, all extracted reviews are automatically organized into a clear table format. Each row includes key details like company name, rating date, employee status, and location. This structured approach saves time compared to manual data collection and ensures that no important information is overlooked, making it easier to analyze trends and compare feedback across different companies.
Export Reviews for Reporting and Analysis
Once the reviews are collected, you can export the data. This makes it simple to integrate the information into your existing reporting workflows or share insights with your team. The exported table is ready for further analysis, whether you’re preparing presentations, benchmarking companies, or tracking changes in employee sentiment over time.
Support Recruitment, Research, and Employer Branding
Use the exported Glassdoor reviews to support a variety of business needs. Recruiters can benchmark employer reputation, HR teams can monitor feedback for improvement opportunities, and consultants can include real employee perspectives in their research. The ability to quickly access and analyze authentic reviews helps organizations make informed decisions and strengthen their employer brand.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.