Meinestadt Jobs Search Scraper: Harvest German Job Listings Efficiently

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What Is Meinestadt.de?

Meinestadt.de is Germany's leading hyperlocal job and classified listing platform, connecting job seekers with employers across major German cities including Frankfurt, Berlin, Munich, and beyond. With hundreds of thousands of active listings spanning multiple industries and roles, Meinestadt.de is a critical source for understanding the German labor market. Manually extracting job search results is tedious and error-prone — the Meinestadt Jobs Search Scraper automates this process, delivering structured data from search result pages at scale.

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Overview

The Meinestadt Jobs Search Scraper extracts job listings directly from Meinestadt.de search result pages, converting dynamic job cards into clean, structured records. It is ideal for:

• Job aggregators building multi-source job databases
• HR platforms pulling German job listings into candidate matching systems
• Market researchers analyzing German employment trends by region and sector
• Recruiters monitoring competitor activity and salary benchmarks
• Data scientists building ML models on labor market data

The scraper handles search result pagination automatically, respects rate limits, and returns detailed metadata including job scan scores, work time types, and industry classifications.

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Input Configuration

The scraper accepts JSON configuration with the following parameters:

{
  "urls": [
    "https://jobs.meinestadt.de/frankfurt-am-main/jk/0-15777#order=search(stelle%2Cfalse)"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Parameter	Type	Description
urls	Array	Search result page URLs from Meinestadt.de (e.g., city-filtered searches). Paste full URLs including parameters.
max_items_per_url	Integer	Maximum job listings to extract per URL (default: 100, max recommended: 200)
ignore_url_failures	Boolean	If true, scraper continues if a URL fails; if false, run stops on error

Pro tip: Meinestadt search URLs can include filters like location, job type, and salary range. Customize the base URL to pre-filter results before scraping.

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Output Fields Explained

Sample output

{
  "job_id": 100012574793,
  "advertiser_id": 318288,
  "title": "Steuerfachangestellter (m/w/d) in moderner Kanzlei",
  "ad_type": "premium",
  "type": "stelle",
  "logo_url": "https://image-resize.meinestadt.de/image-resize/v2/resize?default=https://img.meinestadt.de/mailtemplates/images/fallback/jobs_80x80.jpg&w=80&h=80&sign=a8422700311ab7f56f666b54ba35cf516e81ed6fd57b4da76ea854bf64b93048&url=https%3A%2F%2Fimg.meinestadt.de%2Fimages%2Fs3%2F57c4a6fb63.jpg",
  "partner_logo_url": null,
  "logo_url_hq": "https://image-resize.meinestadt.de/image-resize/v2/resize?default=https://img.meinestadt.de/mailtemplates/images/fallback/jobs_80x80.jpg&w=160&h=160&sign=a8422700311ab7f56f666b54ba35cf516e81ed6fd57b4da76ea854bf64b93048&url=https%3A%2F%2Fimg.meinestadt.de%2Fimages%2Fs3%2F57c4a6fb63.jpg",
  "highlight_label": "Empfehlung",
  "company_name": "Kreh - Hofmann - Widmer Wirtschaftsprüfer und Steuerberater",
  "description_text": null,
  "description_text_full": null,
  "label_text": "13.07.2026",
  "label_color": "grey",
  "salary_label": "35.000 € - 55.000 €/Jahr",
  "job_scan_label_text": null,
  "job_scan_label_color": null,
  "work_city": "Babenhausen/Hessen",
  "nearest_address_url_name": "babenhausen-hessen",
  "distance": null,
  "other_work_cities_stripped": null,
  "mslayer_element_start_date": "13.07.2026",
  "detail_url": "https://jobs.meinestadt.de/babenhausen-hessen/premium?id=100012574793",
  "source": "RA",
  "work_time": "Vollzeit oder Teilzeit",
  "supports_https": true,
  "mlm_group": {
    "id": 7041448,
    "items": [
      {
        "type": "JOB",
        "id": 100012574793,
        "paid": true,
        "job_type": "stelle"
      }
    ],
    "affiliate": 173,
    "component": "category"
  },
  "d": null,
  "search_extension_type": "core",
  "divider": null,
  "position": 1,
  "seo_tags": [
    {
      "id": 7170,
      "type": "BENEFIT",
      "tag": "Erfolgsprämien",
      "icon_name": "medalReward",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 7139,
      "type": "BENEFIT",
      "tag": "Parkplatz",
      "icon_name": "garageCar",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 7143,
      "type": "BENEFIT",
      "tag": "Betriebliche Altersvorsorge",
      "icon_name": "coinPiggybank",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 391949,
      "type": "BENEFIT",
      "tag": "Sorgfältige Einarbeitung",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 391947,
      "type": "BENEFIT",
      "tag": "Mobiles Arbeiten",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 7152,
      "type": "BENEFIT",
      "tag": "Flexible Arbeitszeiten",
      "icon_name": "clockRounded",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 7154,
      "type": "BENEFIT",
      "tag": "Zusätzliche Urlaubstage",
      "icon_name": "loungerUmbrella",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 7156,
      "type": "BENEFIT",
      "tag": "Firmenevents",
      "icon_name": "drinksToasting",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 96,
      "type": "SKILL",
      "tag": "DATEV",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 1,
      "type": "SKILL",
      "tag": "MS Office",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 429092,
      "type": "SKILL",
      "tag": "FIBU",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 3042,
      "type": "SKILL",
      "tag": "Beratung",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 437697,
      "type": "SOCIAL_SKILL",
      "tag": "Offenheit",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 417903,
      "type": "SKILL",
      "tag": "Finanzbuchführung",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 437676,
      "type": "SOCIAL_SKILL",
      "tag": "Teamfähigkeit",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 1098,
      "type": "SKILL",
      "tag": "Steuerberatung",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 2124,
      "type": "SKILL",
      "tag": "Korrespondenz",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 437675,
      "type": "SOCIAL_SKILL",
      "tag": "Flexibilität",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 485567,
      "type": "SKILL",
      "tag": "Geschäftskorrespondenz",
      "icon_name": "",
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    },
    {
      "id": 3004,
      "type": "SKILL",
      "tag": "Wirtschaftsprüfung",
      "icon_name": null,
      "redirect_id": null,
      "debug": {
        "solr_queries": []
      }
    }
  ],
  "job_scan_score": null,
  "type_of_cost": null,
  "tracking_cost_type": "not_set",
  "default_application_type": "E-Mail",
  "on_watchlist": false,
  "profession_ids": [
    7571,
    35075,
    7572
  ],
  "city_url_names": [
    "babenhausen-hessen"
  ],
  "job_offer_type": "Festanstellung",
  "premium_work_time": null,
  "working_plan": null,
  "staffing": "Direktangebot",
  "industries": null,
  "category_trackings": [
    "Recht & Steuern|Steuerfachangestellte|Steuerfachangestellte/r",
    "Recht & Steuern|Weitere Tätigkeiten - Recht & Steuer|Gehilfen in steuer- und wirtschaftsberatenden Berufen|Fachwirt/in - Steuer",
    "Recht & Steuern|Steuerfachangestellte|Fachgehilf(e/in) - steuer- und wirtschaftsberatende Berufe"
  ],
  "native_ad": true,
  "link_out_detail": false,
  "small_text": false,
  "debug_job_scan": null,
  "from_url": "https://jobs.meinestadt.de/frankfurt-am-main/jk/0-15777#order=search(stelle%2Cfalse)"
}

The scraper returns 48 fields per job listing. Here are the key ones:

Identification & Tracking

Field	Purpose
Job ID	Unique internal Meinestadt identifier for the posting
Advertiser ID	ID of the company or recruiter posting the job
Position	Sequential position in search results
Source	Data source indicator

Job Content & Display

Field	Purpose
Title	Job title as shown in search results
Description Text	Brief job summary
Description Text Full	Complete job description
Ad Type	Listing type (standard, premium, featured)
Type	Employment type indicator
Highlight Label	Featured or highlight badge (if applicable)
Label Text	Additional label or tag
Label Color	Color coding for visual categorization

Compensation & Work Details

Field	Purpose
Salary Label	Displayed salary range or "Salary on request"
Work Time	Employment duration (full-time, part-time, contract, temporary)
Premium Work Time	Premium or specialized work arrangement
Working Plan	Work schedule type
Staffing	Number of positions or staffing level
Job Offer Type	Internal classification (e.g., permanent, temporary)

Location & Geography

Field	Purpose
Work City	Primary work location city
Other Work Cities Stripped	Additional work locations (if multi-location)
Nearest Address URL Name	Formatted location for URL
Distance	Radius or distance filter applied
City URL Names	URL-encoded city names for filtering

Company & Branding

Field	Purpose
Company Name	Employer or recruiting company name
Logo URL	Company logo image URL
Partner Logo URL	Partner/agency logo if applicable
Logo URL HQ	High-quality version of company logo

Quality & Scoring

Field	Purpose
Job Scan Label Text	Meinestadt job quality score label
Job Scan Label Color	Visual indicator for job quality
Job Scan Score	Numeric quality metric (higher = better match)
Debug Job Scan	Debug information for scoring system

Classification & Metadata

Field	Purpose
Industries	Industry categories (e.g., IT, Healthcare, Retail)
Profession IDs	Profession classification codes
Category Trackings	Internal category tracking identifiers
SEO Tags	Search engine optimization tags
Search Extension Type	Extended search parameter type

Additional Flags & Details

Field	Purpose
Detail URL	Direct link to the full job posting
Supports HTTPS	Security protocol support indicator
MLM Group	Multi-level classification group
Mslayer Element Start Date	Platform metadata timestamp
Native Ad	Whether listing is a native advertisement
Link Out Detail	External link details
On Watchlist	Watchlist status indicator
Small Text	Micro-copy or disclaimer text
Divider	Structural separator indicator
D	Internal code field
Default Application Type	Primary method to apply
Type Of Cost	Fee structure (free, paid)
Tracking Cost Type	Cost tracking classification

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How to Use

1. Find search URLs — Go to Meinestadt.de, apply filters (city, job type, salary), and copy the resulting search URL.
2. Prepare input — Paste the full URL (including filter parameters) into the urls array.
3. Set limits — Configure max_items_per_url based on your needs (100–200 recommended for balanced speed/completeness).
4. Run scraper — Start the actor and monitor progress in the log.
5. Export data — Download results as JSON, CSV, or Excel.

Best practices:

• Use city-specific or keyword-filtered searches to reduce URL load
• Set ignore_url_failures: true for production runs to handle network hiccups
• Filter results post-scrape by Job Scan Score to prioritize high-quality listings
• Respect Meinestadt.de's Terms of Service regarding data reuse

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Applications & Business Value

• Job board aggregation: Combine German, European, and global listings into a unified platform
• Salary benchmarking: Analyze compensation trends across industries and regions
• Talent pipeline: Build candidate sourcing databases for recruitment automation
• Market intelligence: Track hiring volume and skill demand shifts in real-time
• Academic research: Study employment patterns, wage inequality, and labor mobility in Germany

The Meinestadt Jobs Search Scraper eliminates hours of manual copying, enabling data-driven recruitment and labor market insights.

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Conclusion

The Meinestadt Jobs Search Scraper is the go-to solution for extracting German job listings at scale. With 48+ rich data fields, intelligent job quality scoring, and flexible filtering options, it transforms Meinestadt search results into actionable business intelligence. Start scraping today and unlock the full potential of Germany's largest hyperlocal job market.