💼 Absolventa Scraper

Want Absolventa graduate and young-professional jobs in a spreadsheet? This scraper makes it easy.

Use structured filters — better for AI agents — or paste an input_url. When input_url is set it overrides the filters.

Absolventa lists more than 10,000 public jobs in Germany. Each row includes the full posting text. This actor returns up to 2000 rows per run.

💡 Perfect for...

• Recruiters: Track new graduate, internship, and working-student openings.
• Dashboards: Monitor IT, engineering, finance, and sales roles without paging the site.
• Market research: Compare employers, cities, and job types across Germany.
• Data analysts: Export structured rows with company, location, dates, and the full job text.
• 🤖 AI Agents: Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Absolventa data.
• 📚 RAG Systems: Feed job titles and posting text into retrieval pipelines.
• 🔗 AI Workflows: Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

✨ Why you'll love this scraper

• 🔗 Input URL or Filters: Paste any Absolventa jobs URL, or pick a career field from the menu. input_url always wins when set.
• 🎯 Website-Matched Filters: Career field, keyword, city or postal code, job type, and home office.
• 🌐 Complete postings: Company, address, employment type, posted and closing dates, salary when the employer publishes it, and the full job text.

📦 What's inside the data?

id, url, title, company, company_url, logo, city, region, postal_code, street, industry, employment_type, date_posted, valid_through, salary_min, salary_max, salary_currency, homeoffice, description

🚀 Quick start

Option A: paste https://www.absolventa.de/jobs/channel/it. Option B: pick a career field or keyword and set max_results.

Input Example (filters):

{
  "category": "it",
  "location": "Berlin",
  "position": "praktikum",
  "max_results": 100
}

Input Example (URL):

{
  "input_url": "https://www.absolventa.de/jobs/channel/ingenieure",
  "max_results": 100
}

Output Example:

{
  "id": "13248074",
  "url": "https://www.absolventa.de/stellenangebote/13248074-p-projekt-vertriebsingenieur-m-w-d",
  "title": "Projekt- / Vertriebsingenieur (m/w/d)",
  "company": "APROVIS Energy Systems GmbH",
  "company_url": "https://www.absolventa.de/unternehmen/1545619-s-aprovis-energy-systems-gmbh",
  "city": "Weidenbach",
  "postal_code": "91746",
  "street": "Ornbauer Str. 10",
  "industry": "ingenieure",
  "employment_type": "Vollzeit",
  "date_posted": "2026-10-12",
  "valid_through": "2027-06-14T23:59:59+02:00",
  "description": "Projekt- / Vertriebsingenieur (m/w/d) bei APROVIS in Weidenbach"
}

Output fields:

Field	Description
id	Job number.
url	Public job page.
title	Job title.
company / company_url / logo	Employer name, profile, and logo.
city / region / postal_code / street	Workplace address.
industry	Career field.
employment_type	Vollzeit, Teilzeit, Praktikum, or the type the employer published.
date_posted / valid_through	When the job was posted and when it closes.
salary_min / salary_max / salary_currency	Pay range when the employer publishes it.
homeoffice	True when the posting offers home office.
description	Full job text.

📋 Input reference

Parameter	Type	Required	Default	Description
input_url	string	No	—	Absolventa jobs URL. Overrides every filter.
category	dropdown	No	All fields	IT, Ingenieure, Wirtschaft, Finance, Consulting, Vertrieb, Sales, Management, Human Resources, Naturwissenschaften, Bauwesen, Elektrotechnik, Gesundheit, Marketing.
query	string	No	—	Job title, skill, or company.
location	string	No	—	City or postal code.
position	dropdown	No	Any	Festanstellung, Praktikum, Trainee, Werkstudent, Abschlussarbeit.
remote	boolean	No	false	Only jobs that offer home office.
max_results	integer	No	50	Maximum rows (1–2000).