Recruiting teams
Market mapping
Favorable to scraping
Export Joblift jobs for roles such as managers, doctors, analysts, or remote data jobs, then review employer names, areas, and labels before building a sourcing shortlist.
Job Boards$50Free
Joblift Job Scraper
The Joblift Job Scraper turns Joblift.de listing and detail URLs into a structured CSV for recruiting research, labor-market monitoring, and job-board QA. Import the template, add the Joblift URLs you are allowed to process, and export keyword, location or ZIP, company, job title, district, distance, labels, and job URL without building a custom Joblift data extractor.
Output
CSV
Columns
15
Inputs
Multi-URL
Source
Joblift.de
Template
Free import
At a glance
Export Joblift jobs to CSV
Turn job cards into rows
Capture the fields researchers usually copy by hand: search keyword, location or ZIP, contractor or company, title, district, distance, listing labels, and the source job URL.
Process several approved URLs
The Navigate block contains a multi-URL list and the final Loop Continue block advances through it. Each page contributes rows to the same append-mode CSV.
Normalize noisy listing text
Job cards often combine company, title, location, distance, and labels in one text block. The workflow parses those lines first so the export does not dump the whole card into the job title column.
Keep custody local
Navigation, waits, JavaScript parsing, and CSV output happen in UScraper on your machine. You control source URLs, pacing, save path, review, and downstream handling.
Who uses it
Use cases for Joblift job data
Labor-market analysts
Weekly snapshots
Favorable to scraping
Save repeatable snapshots from the same Joblift search URLs. The input URL, keyword, location, distance, and job URL make it easier to audit what changed after listings expire.
Agencies and data teams
Spreadsheet pipelines
Favorable to scraping
Use this Joblift data extractor as one source in a broader recruiting dataset, then combine the CSV with employer enrichment, CRM notes, or other job-board exports.
How to use
Scrape Joblift jobs in five steps
2
Add Joblift input URLs
Open the Navigate block and replace the sample Joblift.de detail or listing URLs with approved pages for the roles and locations you want to collect.
3
Confirm the save folder
Structured Export writes jobliftde_job_scraper_clean.csv with headers and append mode. Change the folder if your team stores recruiting exports elsewhere.
4
Run the multi-URL loop
UScraper loads each URL, waits up to forty seconds, handles common consent buttons, scrolls, normalizes visible anchors, exports rows, then advances to the next URL.
5
Open and review the CSV
Load the file in Excel, Sheets, or a BI tool. Spot-check job URLs against Joblift before using the data for outreach, reporting, or enrichment.
What happens inside the workflow
- 1
Navigate and wait
Open each configured Joblift URL and wait for the page to finish loading before extraction starts.
- 2
Prepare the page
Click common German or English consent labels when they appear, then scroll far enough for listing cards and detail links to become visible.
- 3
Normalize cards
Parse card text into helper attributes for company, title, district, distance, and up to seven labels so export columns stay clean.
- 4
Export and continue
Export matching Joblift anchors to CSV, then continue the loop so all supplied URLs land in one append-friendly file.
Output preview
What the Joblift CSV export includes
jobliftde_job_scraper_clean.csvColumn
input_url
The Joblift URL being processed for this row.
Column
schluesselwort
Keyword inferred from the input, search box, or URL path.
Column
standort_oder_plz
Location or ZIP inferred from the search box or URL path.
Column
unternehmer
Company or contractor parsed from the listing card.
Column
jobtitel
Normalized job title, separated from company and location text.
Column
bezirk
District, city, or area text from the listing.
Column
umkreis_vom_bezirk
Distance text such as 5 km or less than 10 km when visible.
Column
etikett1...etikett7
Listing labels such as new, quick apply, full-time, or category badges.
Column
job_url
The href captured from the Joblift listing or detail anchor.
Sample rows
2 of many
| input_url | schluesselwort | standort_oder_plz | unternehmer | jobtitel | bezirk | umkreis_vom_bezirk | etikett1...etikett7 | job_url |
|---|---|---|---|---|---|---|---|---|
| manager | Brandenburg | Example Logistics GmbH | Operations Manager (m/w/d) | Potsdam | 8 km | New | Full-time | Quick apply | /joblink?to=example-manager | |
| Arzt | 10115 | Sample Klinik Berlin | Facharzt Innere Medizin (m/w/d) | Berlin Mitte | < 5 km | Direct hire | Part-time possible | /details/example-doctor-role |
Headers included - all configured Joblift URLs append into one file - sample values are illustrative
For adjacent recruiting workflows, compare this template with the Stepstone Job Scraper, Welcome to the Jungle Jobs Scraper, US Job Search Aggregator, or browse the full UScraper template library.
Frequently asked questions
Joblift pages may be publicly reachable, but automated collection can still be limited by Joblift terms, robots directives, copyright, privacy law, database rights, and local rules. Review the source policies, keep volume modest, avoid bypassing access controls, and get legal advice before using exports commercially.
Before you scale
Limits and maintenance notes
Operational guardrails for Joblift exports
Rate limits
Run polite batches
Keep the built-in waits, avoid parallel runs, and add more delay if Joblift pages load slowly. Stop the run if you see verification, repeated empty pages, or blocked responses.
Layout drift
Card parsing can need updates
The normalization step depends on current Joblift card text patterns. If company, title, district, or labels become blank across many rows, inspect a live page and update the parser or Structured Export columns.
Expired jobs
Closed listings may be partial
Joblift can show expired jobs, no-results states, third-party redirects, or detail pages with less information than listing cards. Treat blank cells as a review signal, not as proof that a field never existed.
Policy
Review source rules before commercial use
Local custody helps with data handling, but it does not grant permission to republish, resell, or over-collect job data. Review Joblift policies, robots guidance, and your own compliance requirements before operational use.
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 GitHubBrowse more templates in the library
All Templates