Arbeitnow Jobs Scraper — EU/DACH Jobs (Visa, Remote)

Arbeitnow Jobs Scraper 🇪🇺🇩🇪 — EU & DACH Job Listings, Visa & Remote

Extract European and DACH (Germany, Austria, Switzerland) job postings from Arbeitnow, the premier platform for English-speaking, remote-friendly, and visa-sponsorship roles across Europe. Collect structured real-time employment data including job titles, hiring company names, office locations, remote eligibility flags, employment contract types, skill tags, complete job descriptions (in both HTML and clean plain text), and publication timestamps.

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⚡ At a glance

Feature	Specification
Target Website	Arbeitnow
Geographic Scope	Germany, Austria, Switzerland, Netherlands, France, United Kingdom, and remote EU positions
Specialization	English-speaking tech positions, international talent relocation, visa sponsorship
Key Attributes	Job Title, Company, Location, Remote Flag, Contract Types, Skills/Tags, HTML & Text Description, Posted Date
Output Formats	JSON, CSV, XML, Excel (XLSX), HTML Table, RSS, Apify API
Pagination Limit	Unlimited / 1,000+ jobs per execution (maxPages: 0 = automatic multi-page crawl)
Proxy Requirement	Apify Datacenter Proxy (ultra-low operating cost, zero residential bandwidth)
Execution Velocity	250–300 jobs per page in under 3 seconds; whole board in seconds
Deduplication	In-memory deduplication indexed by unique job slug
Integrations	Google Sheets, Airtable, Make, Zapier, Webhooks, BigQuery, Snowflake, Slack
Use Cases	Relocation talent sourcing, recruitment intelligence, tech salary benchmarking, automated job boards

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🔎 Why scrape Arbeitnow?

Arbeitnow is widely recognized by international professionals as the go-to portal for finding careers in Germany and Europe without requiring native-level German fluency. It curates high-growth opportunities across Berlin, Munich, Hamburg, Frankfurt, Amsterdam, Zurich, and remote-first European companies.

Key data signals that make Arbeitnow invaluable:

• Verified Visa Sponsorship Opportunities: Filter directly for employers willing to sponsor work permits, EU Blue Cards, and relocation packages.
• English-First Corporate Cultures: Avoid scouring generalist local boards where 90% of postings require fluent local language skills.
• Dual Description Extraction: Delivers both structured HTML formatting (for job board republishing) and sanitized plain text (for NLP parsing, keyword extraction, and LLM embedding).
• Hourly Cadence Updates: Listings are posted in real-time, allowing recruiters and job search engines to capture fresh vacancies before competitors.

Browsing vacancies manually is tedious and impossible to automate for analytics. This Arbeitnow scraper automates end-to-end extraction, converting thousands of European opportunities into clean, analysis-ready spreadsheets and API feeds.

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🏆 Comparison: Arbeitnow Scraper vs. Alternatives

Feature	Manual Job Search	Traditional Web Crawlers	Arbeitnow Scraper (This Actor)
Speed	10–20 jobs / hour	50–100 jobs / min	1,500–3,000 jobs / min
Pagination Depth	Click next page manually	Breaks on JavaScript	1,000+ jobs / complete catalogue coverage
Visa Filter Accuracy	Manual scanning of text	Often misses visa status	Native API-level visa sponsorship filtering
Description Formatting	Copy-pasting fragments	Raw unparsed markup	Dual-format: Clean HTML + Sanitized Plain Text
Timestamp Precision	Vague "3 days ago"	Inconsistent string formats	Dual ISO 8601 string + Unix Epoch timestamps
Deduplication	Manual cross-checking	Duplicate job titles	Deterministic slug-based deduplication
Operating Cost	High labor hours	Heavy browser overhead	Pure HTTP architecture ($0.005 / 1,000 jobs)

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✨ Key features

• 🇪🇺 Full EU & DACH Board Coverage: Extract vacancies across Germany, Austria, Switzerland, and remote-first European organizations.
• 🛂 Dedicated Visa Sponsorship Filtering: Toggle visaSponsorship: true to exclusively retrieve roles offering relocation assistance and visa sponsorships.
• 🏡 Remote Eligibility Filtering: Toggle remoteOnly: true to isolate distributed and home-office opportunities.
• 🔍 Targeted Keyword & Tag Queries: Query specific job titles ("Software Engineer", "Product Manager") or skill categories ("Python", "React", "Fintech").
• 🔄 Unlocked 1,000+ Deep Pagination: Configure maxItems to 1,000, 2,500, or more. Setting maxPages: 0 allows unconstrained paging across the entire catalogue.
• 📝 Dual Description Parsing: Every job includes description (original rich HTML with lists and styling) and descriptionText (plain ASCII text stripped of markup).
• 📅 Standardized Temporal Fields: Provides createdAt formatted as ISO 8601 alongside numeric createdAtTimestamp for date-math filtering.
• 🛡️ Zero Duplicate Guarantees: Global deduplication index keyed on permanent slug identifiers prevents duplicate storage.
• ⚡ Lightweight Pure HTTP Pipeline: Runs entirely without headless browsers, delivering exceptional throughput and minimal RAM usage.

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💼 Business & analytical use cases

1. International Talent Recruitment & Candidate Matching

Headhunters and technical staffing agencies can systematically monitor companies actively hiring English-speaking developers, data scientists, and engineers with visa support.

2. Automated Job Board Aggregation & Content Curation

Job portal founders can populate niche job boards (e.g. "Remote Tech in Germany", "Relocate to Europe") on an automated hourly cron schedule.

3. Competitor Hiring Velocity Intelligence

Analyze hiring spikes across European tech scale-ups and established multinationals to gauge product expansion initiatives and engineering resource allocation.

4. Labor Market & Tech Stack Demand Studies

Conduct empirical research on the demand for specific programming languages, cloud providers (AWS vs. GCP vs. Azure), and tech frameworks across EU commercial hubs.

5. Candidate Job-Alert Automations

Job seekers can configure automated scraper runs connected to Slack, Discord, or email webhooks to receive real-time alerts the instant a relevant role is published.

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📥 Input parameters

The scraper accepts JSON input via the Apify API or directly within the Apify Console.

{
  "searchQuery": "developer",
  "tag": "IT",
  "visaSponsorship": true,
  "remoteOnly": false,
  "maxItems": 100,
  "maxPages": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input fields description

Parameter	Type	Default	Description
searchQuery	string	""	Optional text query to filter job titles and descriptions (e.g. "golang", "marketing").
tag	string	""	Optional category or skill tag filter (e.g. "IT", "Germany", "DevOps").
visaSponsorship	boolean	false	When true, filters strictly for employers that offer work visa sponsorships.
remoteOnly	boolean	false	When true, filters strictly for positions tagged as fully remote.
maxItems	integer	100 (prefill)	Maximum total jobs to extract. Set 0 for unconstrained extraction.
maxPages	integer	0	Maximum API pages to fetch (250–300 jobs/page). 0 = auto/unlimited governed by maxItems.
proxyConfiguration	object	{ "useApifyProxy": true }	Standard Datacenter proxies are fully supported.

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📊 Output data structure

The scraper streams normalized job vacancy records directly into the default Apify Dataset.

🏷️ Job vacancy fields

Field	Type	Coverage	Description
slug	string	🟢 High (100%)	Unique URL slug identifier for the vacancy.
title	string	🟢 High (100%)	Official job title of the open position.
company	string	🟢 High (100%)	Name of the hiring company or organization.
location	string	🟢 High (95%+)	City, country, or regional work location.
remote	boolean	🟢 High (100%)	Boolean flag indicating remote work eligibility.
jobTypes	array	🟢 High (80%+)	Array of employment types (e.g. ["Full Time"]).
tags	array	🟢 High (95%+)	Array of associated skill and industry tags.
url	string	🟢 High (100%)	Direct canonical application link to the vacancy.
description	string	🟢 High (100%)	Original formatted HTML body of the job description.
descriptionText	string	🟢 High (100%)	Plain text version stripped of HTML markup and extra whitespace.
createdAt	string	🟢 High (100%)	ISO 8601 UTC timestamp of job publication.
createdAtTimestamp	number	🟢 High (100%)	Numeric Unix epoch timestamp (seconds) of posting.
scrapedAt	string	🟢 High (100%)	ISO 8601 UTC timestamp of data extraction.

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📦 Sample JSON record

{
  "slug": "senior-backend-engineer-berlin-10492",
  "title": "Senior Backend Engineer (Go / Kubernetes)",
  "company": "FinTech Scaleup GmbH",
  "location": "Berlin, Germany",
  "remote": true,
  "jobTypes": [
    "Full Time"
  ],
  "tags": [
    "IT",
    "Golang",
    "Kubernetes",
    "Germany",
    "Fintech"
  ],
  "url": "https://www.arbeitnow.com/jobs/companies/fintech-scaleup-gmbh/senior-backend-engineer-berlin-10492",
  "description": "<p>We are seeking an experienced <strong>Senior Backend Engineer</strong> to design high-throughput distributed payment pipelines.</p><ul><li>5+ years backend engineering</li><li>Strong proficiency in Go</li></ul>",
  "descriptionText": "We are seeking an experienced Senior Backend Engineer to design high-throughput distributed payment pipelines. 5+ years backend engineering Strong proficiency in Go",
  "createdAt": "2026-11-10T10:15:00.000Z",
  "createdAtTimestamp": 1794305700,
  "scrapedAt": "2026-11-10T13:42:00.000Z"
}

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🚀 Step-by-step developer tutorial

Running via Apify Python Client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "searchQuery": "python",
    "visaSponsorship": True,
    "maxItems": 250,
    "maxPages": 0
}

run = client.actor("haketa/arbeitnow-scraper").call(run_input=run_input)

# Fetch results from dataset
items = client.dataset(run["defaultDatasetId"]).list_items().items
for job in items:
    print(f"[{job['company']}] {job['title']} in {job['location']} (Remote: {job['remote']})")

Running via Apify JavaScript / Node.js Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const run = await client.actor('haketa/arbeitnow-scraper').call({
    tag: 'IT',
    remoteOnly: true,
    maxItems: 100,
    maxPages: 0,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Successfully scraped ${items.length} remote tech jobs from Arbeitnow`);

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🏙️ Major European tech hubs covered

Arbeitnow indexes vacancies from leading European startup clusters and established corporate centers:

City / Hub	Country	Primary Roles & Industries	English-Language Prevalence
Berlin	Germany	FinTech, E-Commerce, SaaS, AI Startups	🟢 Extremely High (English-first)
Munich	Germany	Automotive Tech, B2B SaaS, Cloud Infrastructure	🟢 High
Amsterdam	Netherlands	FinTech, AdTech, Logistics, TravelTech	🟢 Extremely High (English-first)
Frankfurt	Germany	Banking Tech, Cybersecurity, FinTech	🟡 High / Bilingual
Hamburg	Germany	MediaTech, Games Industry, Logistics	🟡 High / Bilingual
Zurich	Switzerland	Enterprise Software, DeepTech, Cryptography	🟢 High
Remote EU	Pan-European	Distributed engineering, Customer Support, DevOps	🟢 100% English

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🔍 Recommended search & filter strategies

Target Profile	searchQuery	tag	visaSponsorship	remoteOnly
Relocation Software Engineer	"engineer"	"IT"	true	false
Fully Remote European Dev	"developer"	""	false	true
Data & Machine Learning	"data scientist"	"Python"	false	false
DevOps & Cloud Architect	"devops"	"AWS"	true	false
English Product Manager	"product manager"	"Marketing"	false	false

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🏗️ Architecture & data processing flow

The actor implements an ultra-lightweight, resilient network workflow:

1. Parameter Resolution: Formats search terms, category tags, and visa sponsorship flags into query parameters.
2. Page Pagination: Iterates through paginated pages using cursor offset pointers, dynamically evaluating the links.next attribute.
3. Dual Normalization: Extracts raw job payloads, sanitizes HTML descriptions with Cheerio, and converts unix timestamps to ISO dates.
4. Deduplication Engine: Filters incoming postings through an in-memory slug cache to prevent redundant writes across runs.
5. Direct Dataset Ingestion: Pushes batch arrays immediately into the dataset, guaranteeing data safety.

[Filter Parameters: searchQuery, tag, visaSponsorship]
                         │
                         ▼
                ┌──────────────────┐
                │ Query Formatter  │
                └────────┬─────────┘
                         │
                         ▼
                ┌──────────────────┐
                │ Request Dispatch │  ◄── Offset pagination (?page=1, 2, 3...)
                └────────┬─────────┘
                         │
                         ▼
                ┌──────────────────┐
                │ Dual Description │  ◄── HTML + Text normalization
                │ Normalizer Engine│
                └────────┬─────────┘
                         │
                         ▼
                ┌──────────────────┐
                │ Slug Deduplicator│  ◄── In-memory ID cache (0 duplicates)
                └────────┬─────────┘
                         │
                         ▼
                ┌──────────────────┐
                │  Apify Dataset   │  ──► JSON / CSV / Excel / API Export
                └──────────────────┘

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🔔 Webhook notification configuration

Trigger downstream webhooks whenever a job extraction task finishes:

{
  "event": "ACTOR.RUN.SUCCEEDED",
  "actorId": "0fhPqxnxHr0kaW1pC",
  "actorRunId": "{{runId}}",
  "datasetId": "{{defaultDatasetId}}",
  "itemCount": 500,
  "downloadCsvUrl": "https://api.apify.com/v2/datasets/{{defaultDatasetId}}/items?format=csv",
  "downloadJsonUrl": "https://api.apify.com/v2/datasets/{{defaultDatasetId}}/items?format=json"
}

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💡 Practical scraping tips

• Extracting entire job catalogs: To extract all currently open positions, leave searchQuery and tag empty, set maxPages: 0, and set maxItems to 10000. The scraper will collect thousands of listings in seconds.
• Filtering for visa relocation: Combine visaSponsorship: true with specific tech keywords to discover companies that actively sponsor international candidate relocations to Germany and the EU.
• Using plain-text for LLM processing: In downstream AI workflows, use descriptionText rather than description to save token costs and prevent HTML formatting noise during vector embeddings.
• Scheduling frequent syncs: Arbeitnow updates listings hourly. Setting an Apify schedule to run every 2–4 hours keeps your job boards fresh with new listings.

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🔄 Integrations & automated workflows

• Google Sheets & Notion Databases: Automatically append newly posted English-speaking vacancies to a collaborative candidate spreadsheet.
• Slack & Discord Alerts: Send real-time notifications to recruitment channels when new positions match target skill tags.
• PostgreSQL / MongoDB Warehousing: Maintain an up-to-date European job repository for salary benchmarking and market intelligence.

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❓ Frequently asked questions

How many jobs can I scrape in a single run?

You can scrape as many jobs as Arbeitnow currently lists across your criteria—hundreds to thousands of jobs. With maxPages: 0, pagination continues until all matching pages are retrieved or your maxItems threshold is reached.

Does Arbeitnow cover remote roles across all of Europe?

Yes! Many companies based in Germany, the Netherlands, and Scandinavia post European-wide remote roles on Arbeitnow. Use remoteOnly: true to isolate these positions.

What proxy configuration should I select?

Standard Apify Datacenter Proxies ({ "useApifyProxy": true }) work seamlessly. Residential proxies are unnecessary and will unnecessarily inflate data costs.

How frequently are listings published on Arbeitnow?

Jobs are ordered chronologically by createdAtTimestamp (newest first) and updated roughly hourly on the platform.

Can I republish the job descriptions?

Yes, description preserves the raw HTML formatting (bullet points, bold tags, paragraphs), making it ready for display in custom frontend web applications.

How does Arbeitnow differ from general platforms like LinkedIn or StepStone?

Arbeitnow is curated specifically for international candidates seeking English-speaking employment in the EU. Unlike StepStone or regional portals where German or French language fluency is often an unstated prerequisite, Arbeitnow listings explicitly emphasize international backgrounds and visa support.

Are contract types (Full Time, Part Time, Contract) supported?

Yes, the jobTypes array returns standardized strings such as ["Full Time"], ["Part Time"], or ["Contract"] whenever published by the employer.

Can I export jobs directly to Excel or CSV?

Yes! In the Apify Console Dataset tab, click Export and select CSV, Excel (XLSX), or JSON for instant download.

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📋 Changelog

Version 1.2 (2026-11)

• Deep Pagination Unlock: Enabled unconstrained 1,000+ job extraction runs; set maxPages: 0 as the default for automatic deep crawls.
• Optimized Prefill Execution: Fine-tuned default parameters for rapid demonstration runs (<15s) on standard Datacenter proxy pools.
• Enhanced Description Normalization: Improved Cheerio plain-text stripping routines and timestamp formatting.
• Standardized Schema Compliance: Updated actor schemas to adhere to latest Apify specification standards.

Version 1.1

• Added dual-format job description extraction (description HTML and descriptionText plain text).
• Added support for visaSponsorship and remoteOnly filtering.

Version 1.0

• Initial release with keyword queries, company names, locations, and tag filtering.