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Glassdoor Job Scraper for CSV Export

This Glassdoor job scraper collects accessible Glassdoor job search results and turns them into a structured CSV for recruiting research, salary-market checks, and job-board monitoring. Import the workflow into the UScraper local desktop app to scrape Glassdoor jobs, loop through visible results, and export company, title, location, salary, post date, description, and job URL fields without writing code.

Output

CSV

Columns

11

Pagination

Load more

Waits

45s + 3s

Template

Free

At a glance

Export Glassdoor jobs to CSV

The bundled workflow targets a Glassdoor search for business analyst jobs in the United States, but the Navigate URL can be edited for another keyword and location. UScraper sets a stable browser window, navigates to the search page, waits for the body to load, closes common overlays when possible, then scrolls to find a visible pagination control.

The extraction step is deliberately defensive. It reads job cards first, then checks embedded page data for fields such as employer name, job title, location, salary estimate, rating, posting age, description snippet, and job URL. Rows are deduplicated before export so repeated cards and repeated script data do not create obvious duplicates in the CSV.

Spreadsheet-ready recruiting data

Export the fields analysts need for fast review: keyword, location, employer rating, company, job title, place, salary, post date, description, and job URL.

Load-more loop included

The graph marks visible load-more controls, clicks them, waits for new cards, and loops until no more supported controls are available.

Local desktop execution

Your search URL and CSV stay in the local workflow unless you add your own upload, sync, or sharing block.

Diagnostic fallback row

If Glassdoor serves a block, sign-in wall, CAPTCHA, or layout variant, the workflow writes an explanatory row instead of leaving you with an empty run.

Who this is for

Use cases for Glassdoor job data extraction

Recruiting teams

Role tracking

Favorable to scraping

Monitor visible jobs for target titles, compare employer names, locations, posting dates, and salary text, then review the source URLs before outreach or reporting.

Talent agencies

Client research

Favorable to scraping

Use a repeatable Glassdoor data extractor to collect job-market snapshots for approved keywords and keep the CSV beside client notes.

Market analysts

Salary signals

Favorable to scraping

Export salary ranges, ratings, and job snippets into a spreadsheet, then group rows by city, company, or title for lightweight labor-market analysis.

For broader job-board coverage, pair this workflow with the Indeed Job Scraper, LinkedIn Job Scraper, and Google Job Scraper. The full UScraper template library includes additional job-board and search-engine templates when you need another source.


How to use

Configure the Glassdoor scraper workflow

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

Edit the search URL

Open the Navigate block and replace the bundled business analyst search with your approved Glassdoor keyword and location URL.

3

Review the loop

The workflow scrolls, detects visible Load More or Show More Jobs controls, clicks them, waits three seconds, and checks again until the control disappears.

4

Confirm the export path

Structured Export writes glassdoor-scraper.csv with headers and append mode. Change the local save folder before running client or recurring research batches.

5

Run and inspect

Open the CSV, confirm row counts, spot-check a few job URLs, and review fallback rows before using the export in reporting or downstream enrichment.

Output preview

CSV columns from the Glassdoor jobs export

The output mirrors the workflow definition and keeps one row per normalized job result. Example values below are illustrative because the bundle did not include a sample CSV.

keywordlocationratingcompanyjob_titleplacesalarypost_datejob_descriptionkeyword_backupjob_url
business analystUnited States4.1Acme AnalyticsSenior Business AnalystRemote$90K - $115K3dWork with product, finance, and operations teams to define reporting requirements.business analysthttps://www.glassdoor.com/job-listing/example-1
business analystUnited States3.8Northstar BankBusiness Systems AnalystChicago, IL$78K - $102KTodayTranslate stakeholder needs into backlog items, workflow diagrams, and test cases.business analysthttps://www.glassdoor.com/job-listing/example-2
business analystUnited States4.4HealthGridData Analyst, Business OperationsBoston, MA7dAnalyze operational trends and prepare dashboards for leadership reviews.business analysthttps://www.glassdoor.com/job-listing/example-3
glassdoor-scraper.csv
CSV - UTF-8 - Append

Column

keyword

Search keyword context, such as business analyst.

Column

location

Search location context, such as United States.

Column

rating

Employer rating when visible on the listing card.

Column

company

Employer or company name from the card or embedded data.

Column

job_title

Visible job title for the listing.

Column

place

Job location text, including remote or hybrid labels when shown.

Column

salary

Salary estimate or salary text when Glassdoor exposes it.

Column

post_date

Posting age text such as today, 3d, or 30d+.

Column

job_description

Cleaned job description or snippet text.

Column

keyword_backup

Backup keyword context for downstream joins.

Column

job_url

Absolute URL to the job listing when available.

Headers included - rows come from normalized Glassdoor cards or embedded page data

Comparison

Local Glassdoor job scraper vs cloud alternatives

OptionGood fitTrade-off
UScraper local desktop app templateNo-code users who need Glassdoor jobs to CSV from a controlled desktop workflowBest for reviewable batches, not unattended high-volume crawling
Hosted Glassdoor actorsTeams that want vendor-managed queues, proxies, and API-style outputsJob URLs and results pass through a third-party cloud service
Custom scraper codeEngineering teams that need full retry control, storage, and monitoringRequires ongoing selector maintenance, compliance review, and infrastructure

Frequently asked questions

Glassdoor job pages may be publicly visible, but automated collection can still be restricted by Glassdoor terms, robots directives, copyright, database rights, privacy law, and employment-data rules. Review the source policies, avoid private or login-only data, keep runs modest, and get legal advice before using the export commercially.

Before you run

Practical limits and maintenance notes

Keep these constraints visible

Access

Glassdoor may block automation

Cloudflare, CAPTCHA, sign-in prompts, bot checks, or employer-side restrictions can prevent job cards from loading. Do not try to force past access-control screens.

Drift

Job-card layouts change

Empty fields usually mean the page layout changed, the job expired, or Glassdoor moved data into another structure. Test a small run before recurring exports.

Policy

Employment data needs review

Review Glassdoor rules, robots guidance, privacy obligations, and your intended use before republishing job descriptions or combining rows with personal data.

Download the free template, install the desktop app from UScraper download, and use this workflow when you need to download Glassdoor jobs into a structured local CSV for review.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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