Pricing

Pay per usage

Arbetsformedlingen.se Scraper

Scrape Swedish job listings from Arbetsförmedlingen.se instantly. Extract job titles, companies, locations & salary data. Residential proxy required for reliable data collection. Perfect for job market analysis, recruitment automation & labor intelligence.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Arbetsförmedlingen Platsbanken Scraper

Scrape live job listings from Arbetsförmedlingen Platsbanken. This actor collects structured job ad data and saves it to your Apify dataset.

Features

Scrapes current Platsbanken ads with keyword and location filtering.
Supports paginated collection with configurable limits.
Optional detailed mode for richer ad fields.
Returns normalized output suitable for analysis, alerts, and integrations.

Use Cases

Monitor new job opportunities by role or location.
Build internal job dashboards and BI reports.
Track hiring demand trends over time.
Export ad data into automation workflows.

Input Parameters

Field	Type	Description
`startUrl`	string	Optional direct JobSearch API search URL used as base filters.
`keyword`	string	Keyword for job search, for example `undersköterska`.
`location`	string	Optional location term, for example `Stockholm`.
`collectDetails`	boolean	If true, loads full ad details for each result.
`results_wanted`	integer	Maximum number of ads to return. Default: `20`.
`max_pages`	integer	Safety cap on paginated requests. Default: `10`.
`proxyConfiguration`	object	Optional proxy settings.

Output Data

Field	Type	Description
`id`	string	Platsbanken ad ID
`title`	string	Job headline
`company`	string	Employer name
`occupation`	string	Occupation label
`occupation_group`	string	Occupation group label
`municipality`	string	Municipality
`region`	string	Region
`city`	string	City
`employment_type`	string	Employment type
`working_hours_type`	string	Working hours type
`duration`	string	Employment duration
`number_of_vacancies`	integer	Number of vacancies
`publication_date`	string	Publication timestamp
`application_deadline`	string	Application deadline timestamp
`salary_description`	string	Salary info text
`description_text`	string	Job description text
`description_html`	string	Sanitized job description HTML (`p`, `br`, `strong`, `ul`, `li`, etc.)
`webpage_url`	string	Public ad URL

Usage Example

{
	"keyword": "undersköterska",
	"location": "Stockholm",
	"results_wanted": 20,
	"max_pages": 5,
	"collectDetails": true
}

Sample Output

{
	"id": "30691734",
	"title": "Boendestödjare",
	"company": "Hässleholms kommun",
	"occupation": "Stödassistent",
	"municipality": "Hässleholm",
	"region": "Skåne län",
	"number_of_vacancies": 2,
	"publication_date": "2026-03-04T10:41:00",
	"application_deadline": "2026-03-18T23:59:59",
	"webpage_url": "https://arbetsformedlingen.se/platsbanken/annonser/30691734"
}

Tips

Keep results_wanted and max_pages realistic for faster runs.
Enable collectDetails when full-text fields are needed.
Output automatically excludes null values from dataset items.

Integrations

Apify Dataset API
Apify Webhooks
Zapier, Make, and custom ETL pipelines

FAQ

Why are fewer ads returned than requested?

The available ads for your filters may be fewer than results_wanted, or pagination may hit max_pages.

Should I always use `collectDetails`?

Use it when you need richer per-ad fields. Disable it for faster lightweight collection.

Legal Notice

You are responsible for complying with applicable laws, regulations, and website terms when using extracted data.

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