Jobvector.de Scraper

Extract STEM job listings from jobvector.de at scale, with structured salary, company details, skills, geo-coordinates and repost detection. Jobvector is Germany's leading job board for engineers, IT professionals, scientists and medical staff. No API key required.

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Why this scraper?

🎯 Built for German STEM hiring

A dedicated jobvector.de scraper, not a global tool with a country dropdown. Salary parsing, location handling and currency (EUR) are tuned for the German market and jobvector's own listing structure.

📄 Complete job data

Full job title, teaser description in HTML, plain text and Markdown, apply URL, and publish date — plus the exact date each job first appeared.

💶 Structured salary

Minimum, maximum, pay period and currency, parsed from the listing. Estimated figures are flagged so you can filter them out.

🧠 Skills and job signals

Every record carries the listed skills as an array, plus quick-apply and top-job flags so you can spot priority and easy-to-apply postings at a glance.

📍 Location and remote work

City, region, full location string and a remote-work flag on every record. Latitude and longitude are added when full descriptions are fetched.

🔁 Repost detection

Built-in deduplication across runs. Each record is hashed, so you can skip listings already seen in a previous run and keep a clean daily feed.

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Input parameters

Parameter	Type	Default	Description
keyword	string	"Softwareentwickler"	Job title or skill to search for (e.g. Ingenieur, Arzt). Leave empty to scrape all listings.
location	string	(empty)	City or region to filter by (e.g. München, Berlin). Leave empty to search all of Germany.
radius	integer	50	Search radius around the location, in kilometres. Options: 25, 50, 75, 100, 150.
maxResults	integer	500	Maximum number of listings to return. Set to 0 for unlimited.
daysOld	integer	30	Only return listings published within the last N days. Leave empty for all listings regardless of age.
skipReposts	boolean	false	Exclude listings already scraped in a previous run.
startUrls	array	(empty)	Specific jobvector.de search URLs to scrape instead of using the keyword/location inputs.
fetchDetails	boolean	false	Fetch each job's detail page to extract the full description, employment type and geo-coordinates. Adds roughly 1–2 seconds per job.

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Output schema

Every field in the Always present table appears on every record. Fields the source does not publish for a given job are returned as null rather than omitted. The With fetchDetails: true fields are populated only when that option is enabled.

Always present

Field	Type	Description
id	string	Stable unique identifier for the listing.
url	string	Canonical URL of the job listing on jobvector.de.
title	string	Job title (null if not published).
company	string	Hiring company name (null if not published).
companyUrl	string	Link to the company's profile or page (null if not published).
location	string	Full location string as published.
locationCity	string	City parsed from the location.
locationState	string	Region or state parsed from the location (null if not present).
isRemote	boolean	Whether the listing is flagged as remote work.
publishDate	string	Publish date as shown on the listing.
publishDateISO	string	Publish date in ISO 8601 format.
salaryRaw	string	Raw salary text as published (null if not published).
salaryMin	number	Minimum salary (null if not published).
salaryMax	number	Maximum salary (null if not published).
salaryPeriod	string	Pay period, e.g. year or month (null if not published).
salaryCurrency	string	Salary currency code, defaults to EUR.
salaryIsEstimated	boolean	Whether the salary is an estimate rather than a stated figure.
skills	array	List of skills associated with the listing.
isQuickApply	boolean	Whether the listing supports jobvector's quick-apply.
isTopJob	boolean	Whether the listing is promoted as a top job.
description	string	Teaser description as HTML (null if not published).
descriptionText	string	Teaser description as plain text (null if not published).
descriptionMarkdown	string	Teaser description as Markdown (null if not published).
contentHash	string	Hash of the listing, used for change and repost detection.
source	string	Source identifier for the listing.
scrapedAt	string	ISO 8601 timestamp of when the record was scraped.
summary	string	One-line human-readable summary of the listing.
isRepost	boolean	Whether this listing was already seen in a previous run.
originalPublishDate	string	Publish date of the original listing when a repost is detected (null otherwise).
originalUrl	string	URL of the original listing when a repost is detected (null otherwise).

With fetchDetails: true

Field	Type	Description
description	string	Full job description as HTML, replacing the teaser.
descriptionText	string	Full job description as plain text.
descriptionMarkdown	string	Full job description as Markdown.
latitude	number	Latitude of the job location (null if not published).
longitude	number	Longitude of the job location (null if not published).
applyUrl	string	Direct application URL from the detail page (null if not published).
employmentType	string	Employment type, e.g. full-time or part-time (null if not published).
salaryMinDetail	number	Minimum salary parsed from the detail page (null if not published).
salaryMaxDetail	number	Maximum salary parsed from the detail page (null if not published).

Example record

{
  "id": "a1b2c3d4e5",
  "url": "https://www.jobvector.de/stellenangebote/softwareentwickler-muenchen/a1b2c3d4e5/",
  "title": "Softwareentwickler (m/w/d) Backend",
  "company": "Siemens AG",
  "companyUrl": "https://www.jobvector.de/unternehmen/siemens-ag/",
  "location": "München, Bayern",
  "locationCity": "München",
  "locationState": "Bayern",
  "isRemote": false,
  "publishDate": "12.06.2026",
  "publishDateISO": "2026-06-12",
  "salaryRaw": "65.000 – 85.000 € pro Jahr",
  "salaryMin": 65000,
  "salaryMax": 85000,
  "salaryPeriod": "year",
  "salaryCurrency": "EUR",
  "salaryIsEstimated": false,
  "skills": ["Java", "Spring Boot", "Kubernetes", "REST"],
  "isQuickApply": true,
  "isTopJob": false,
  "description": "<p>Wir suchen einen erfahrenen Backend-Entwickler ...</p>",
  "descriptionText": "Wir suchen einen erfahrenen Backend-Entwickler ...",
  "descriptionMarkdown": "Wir suchen einen erfahrenen Backend-Entwickler ...",
  "contentHash": "9f8e7d6c5b4a",
  "source": "jobvector.de",
  "scrapedAt": "2026-06-14T09:21:00.000Z",
  "summary": "Softwareentwickler (m/w/d) Backend at Siemens AG — München, Bayern (12.06.2026)",
  "isRepost": false,
  "originalPublishDate": null,
  "originalUrl": null
}

---

Examples

1. Keyword and location search

{
  "keyword": "Ingenieur",
  "location": "Stuttgart",
  "radius": 50,
  "maxResults": 200
}

2. Recent listings only

{
  "keyword": "Data Scientist",
  "daysOld": 7,
  "maxResults": 100
}

3. Wider radius across a region

{
  "keyword": "Arzt",
  "location": "Hamburg",
  "radius": 150,
  "maxResults": 500
}

4. Daily feed with full descriptions, skipping reposts

{
  "keyword": "Softwareentwickler",
  "daysOld": 1,
  "skipReposts": true,
  "fetchDetails": true,
  "maxResults": 0
}

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💰 Pricing

$1.50 per 1,000 results — you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.

Results	Cost
100	~$0.15
1,000	~$1.50
10,000	~$15.00
100,000	~$150.00

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Use the Maximum results cap in the input to control your spend exactly.

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Performance

Run size	Typical time
100 results	under 1 minute
1,000 results	2–4 minutes
10,000 results	20–35 minutes

Enabling fetchDetails adds roughly 1–2 seconds per job.

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Known limitations

• Salary is only present when the employer publishes it, which is a minority of listings on jobvector.de.
• Geo-coordinates, employment type and the full description are only available when fetchDetails is enabled.
• Company depth varies by employer; some listings carry only a name and link.
• Results are capped by jobvector's own paging depth for very broad searches.

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Technical details

• Source: jobvector.de — German STEM job listings
• Coverage: nationwide, filterable by location and radius
• Repost detection: dedup store with hashing across runs
• Retry: automatic retry on network errors with exponential backoff

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Need a custom scraper?

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