Glassdoor Job Scraper for Germany
This Glassdoor job scraper for Germany turns approved Glassdoor.de job listing URLs into a structured CSV for recruiting research, salary-market checks, and employer monitoring. Import the workflow into the UScraper local desktop app, update the URL list, and export company, job title, location, rating, salary, publishing time, job URL, and description fields without writing code.
CSV
10
Job URLs
45s + 4s
Free
At a glance
Export Glassdoor jobs to CSV from job URLs
This template is designed for controlled Glassdoor.de job-page exports, not blind high-volume crawling. The Navigate block contains three sample Germany job listing URLs and can be expanded with more job URLs gathered from an accessible, compliant session. Each URL runs through the same flow: set a stable browser size, navigate, wait for page load, pause briefly, confirm the page body exists, then run Structured Export.
The workflow tries live page selectors first. If Glassdoor serves a verification page, the sample project can still output one row per bundled URL using fallback data embedded in the export columns. That makes the template useful for testing import, loop behavior, CSV structure, and downstream spreadsheet steps before you add your own approved URL set.
Spreadsheet-ready job data
Export the fields recruiting and labor-market teams usually need: keyword, search location, company, title, URL, location, rating, posting age, salary, and description.
Multi-URL loop already wired
Add job pages to the Navigate block and let Loop Continue advance through the list while Structured Export appends rows into one CSV.
Local desktop execution
Job URLs and CSV files stay in the local workflow unless you add a separate upload, sync, or sharing block.
Built-in pacing
Page-load waits and a short sleep are included so each Glassdoor page has time to render before extraction begins.
Who this is for
Use cases for Glassdoor job data extraction
Recruiting teams can use this Glassdoor data extractor to compare active roles by employer, city, posting age, and visible salary text. Talent researchers can maintain a lightweight snapshot of roles in Berlin or other German cities without copying job descriptions by hand. Agencies can document job-market movement for clients, then enrich the exported job URLs in a separate review workflow.
For broader sourcing work, pair this page with the Indeed Job Scraper, Stepstone Job Scraper, and LinkedIn Job Details Scraper. You can also browse the full UScraper template library when you need another job board or search-engine source.
How to use
Configure the Glassdoor Germany scraper workflow
Review the sample URLs
Open the Navigate block and inspect the three Glassdoor.de job pages included in the template. They are examples for the loop structure, not a complete search crawler.
Add approved job pages
Replace or extend navigate.urls with Glassdoor job listing URLs you are allowed to process. Keep a small first batch so you can verify access and output quality.
Confirm the export path
Structured Export writes glassdoor_job_scraper_for_germany.csv with headers and append mode. Change the local save folder before running client or campaign batches.
Run and inspect
Run the workflow, open the CSV, and spot-check company, title, URL, location, rating, posting age, salary, and description fields against the source pages.
Output preview
CSV columns from the Glassdoor jobs export
The export shape mirrors the workflow definition. It keeps one row per input URL and uses append mode, so a longer URL list produces a single file for review.
| keyword | search_location | company | job_title | job_url | location | customer_rating | publishing_time | salary | description |
|---|---|---|---|---|---|---|---|---|---|
| manager | Berlin | Zalando | Junior Manager Supplier Conditions (all genders) | https://www.glassdoor.de/job-listing/... | Berlin | 3,6 | 3T | Communicate with Fashion, Partner Program, Legal, Supply Chain and Accounting stakeholders... | |
| manager | Berlin | Rayner Intraocular Lenses | Office Assistant (Part-Time 20hrs) | https://www.glassdoor.de/job-listing/... | Berlin | 3,3 | 24Std | Provide high quality and timely administrative and operational support... | |
| manager | Berlin | BuroHappold Engineering | Project Operations Manager (m/f/x) | https://www.glassdoor.de/job-listing/... | Berlin | 4,0 | 18T | Support engineering teams with project planning and financial management... |
glassdoor_job_scraper_for_germany.csvColumn
keyword
Static keyword context for the run, currently manager in the bundled template.
Column
search_location
Static search location context, currently Berlin.
Column
company
Employer name from the live page or fallback sample mapping.
Column
job_title
Visible job title from the Glassdoor job page.
Column
job_url
The current page URL captured from the browser location.
Column
location
Job location found on the page or matched from the sample data.
Column
customer_rating
Employer rating when visible, including German comma decimal formatting.
Column
publishing_time
Posting age text such as 3T, 24Std, Heute, or Gestern.
Column
salary
Salary estimate or salary text when Glassdoor exposes it.
Column
description
Job description text, cleaned and capped for CSV usability.
Comparison
Local Glassdoor job scraper vs cloud APIs
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper local desktop app template | No-code users who need Glassdoor jobs to CSV from a controlled URL list | Best for reviewable batches, not unattended high-volume crawling |
| Hosted Glassdoor actors | Teams that want vendor-managed infrastructure and API-style runs | Job URLs and outputs pass through a third-party cloud service |
| Custom scraper code | Engineering teams that need full control over retries, proxies, and storage | Requires ongoing development, selector maintenance, and compliance review |
Frequently asked questions
Glassdoor job pages may be publicly visible, but automated collection can still be limited by Glassdoor terms, robots rules, copyright, database rights, privacy law, and local employment-data rules. Review the source policies, keep runs modest, avoid private or login-only data, and get legal advice before using the export commercially.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Glassdoor may show verification pages
The template is best used with URLs you can access normally. Do not try to force past login, verification, or access-control screens.
Selectors can change without notice
Empty fields usually mean the live page layout changed, the job expired, or the current page is not a job-detail page. Update the Structured Export columns after testing.
Job data still needs compliance review
Review Glassdoor rules, robots guidance, privacy law, and employment-data obligations before republishing descriptions, enriching profiles, or using exports commercially.
Download the free template, install the desktop app from UScraper download, and use this workflow when you need to export Glassdoor jobs into a structured local CSV for review.
Get Started
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What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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