JobTeaser Jobs Search Scraper: Extract Job Listings at Scale

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What Is JobTeaser.com?

JobTeaser is a leading European student and graduate job platform, partnering with hundreds of universities to connect young talent with employers. It aggregates internships, apprenticeships, and entry-level roles across industries and countries. Manually collecting listings from its search pages is impractical at scale — the JobTeaser Jobs Search Scraper automates extraction from paginated search results, delivering clean, structured records ready for analysis.

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Overview

The JobTeaser Scraper targets job search listing pages (e.g., /en/job-offers?page=2) and extracts key metadata for each result. It is suited for:

• University career centers monitoring employer activity on the platform
• HR analysts tracking entry-level hiring trends across Europe
• Aggregator developers feeding graduate job data into custom platforms
• Researchers studying student recruitment patterns

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Input Format

{
  "urls": ["https://www.jobteaser.com/en/job-offers?page=2"],
  "ignore_url_failures": true,
  "max_items_per_url": 50
}

Field	Type	Description
urls	array	URLs of JobTeaser job search/listing pages to scrape. Add one per line or use bulk edit. Example: https://www.jobteaser.com/en/job-offers?page=2
max_items_per_url	integer	Maximum number of job records to collect per URL. Default: 20
ignore_url_failures	boolean	If true, skips failed URLs instead of halting the run. Recommended for bulk jobs. Default: true

Tip: To scrape multiple pages, add each paginated URL separately (e.g., ?page=1, ?page=2, ...). You can also filter by category or location in the URL query string before scraping.

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Output Format

Sample output

{
  "activation_time": "2026-05-18T11:02:12.000Z",
  "candidacy_type": "EXTERNAL",
  "company": {
    "id": "3beb3dba-36ea-4639-baf4-b5118047a0c5",
    "logo_url": "https://d1guu6n8gz71j.cloudfront.net/system/asset/logos/1609/logo.png?1599645103",
    "name": "ORANO"
  },
  "contract": {
    "duration_max": 24,
    "duration_min": 19,
    "type": "alternating"
  },
  "created_by_student_or_alumni": false,
  "exclusive": false,
  "id": "b9d10ae7-3a3e-4868-86c0-a7a8a01b912b",
  "legacy_partner_school_ids": [
    "ceedc5b8-2d88-4266-b4a5-663a0f84e7d0",
    "aebb87a4-8f61-4034-8d0f-a03e91590c19",
    "8aede46b-d4c1-4490-bfea-7747d7d5bc34",
    "89b75694-7f3b-4ab8-bac0-f5428533994b",
    "7acf3fe4-961b-45d5-b357-ede9f6587c50",
    "33b78c62-60f0-4c04-a508-323fdf2c97cf",
    "e7e5e31f-853a-4027-95fe-23aef540daec",
    "4ae912a2-f717-4083-870a-de269ea65351",
    "eefcb1d4-8bf4-4325-ae61-e99e33d52ae5",
    "ad6206e3-ea8d-4061-bdeb-e14efb87f45f",
    "b6c99a77-2656-4e69-8611-e58540cab773",
    "c6487e7b-6934-4b1a-9d8a-b5652f2385e8",
    "bfc36389-e3b2-47f3-9e24-ae76ace29280",
    "9f6705ec-cfbb-491a-8d10-bfed503c88c6",
    "43ef7be6-23ac-459c-8d3f-7ca402b6767f",
    "5f1f1044-6228-4cdc-a28d-56d7615fcaad",
    "5e5fc2bc-4362-4a15-9e98-e7b8a40f7b77",
    "ae5a48d0-38f2-4b92-b769-5866589b0103",
    "d07b5dbe-5110-46ad-b1cd-1879cf53de3b",
    "31cb4942-90d6-4043-9d24-e52ee5d9be54",
    "4a629d7e-b84a-4f2f-9ac4-daaa5b75e53a",
    "d5fe2f82-dfd1-4d34-8df8-4000be07a024",
    "79afd4cd-a464-421d-b194-93098faa7b40",
    "a9d538de-90e7-4bed-bbee-faa4d3d975c4",
    "4418c51a-2d26-428d-9ed9-198e209ce64a",
    "7d7e920c-1225-4f4c-bf17-d41c642c5867",
    "d8ffdf55-6301-4994-b6d4-6d66679e2417",
    "61af465e-6506-474a-af97-e84043db20d9",
    "7a701543-2d0a-48a5-a0e6-6c618aa45e71",
    "aaafb7cb-d239-4a6b-ab0b-383bea8e6c30",
    "a91557c4-1167-4d65-824e-bb86601cd911",
    "2dbbf211-16f4-4b0d-840a-38de5fc9c5d8",
    "817c0ec3-0c95-47de-8c02-006783dea971",
    "33982cd7-41de-4e9d-a6ae-e5f1c5e3dfa9",
    "44f925db-3071-41f3-807f-69fb8835079a",
    "5f830c21-d77c-4560-8c62-d1a2e7619d19",
    "40c8edb5-614b-4bf5-81d0-25495ef50592",
    "f5e0c2a9-9510-4c6f-aedc-3303954e78b3",
    "9fa6462a-2a7f-43f3-819f-7854d163c5e6",
    "4da3e6f4-d2f6-4abf-a865-fb1c7dc9f3cb",
    "ddcce403-e226-494f-9700-62da687c9396",
    "cdacc0e2-31ba-4b20-b62e-604bcc8a29ad",
    "18b4311a-442d-4696-b2b7-2837f64dc8ad",
    "d0f8b960-0105-41a6-91e0-03b39f166173",
    "8ec90aec-1a30-45ca-b98f-65571aacdf7f",
    "b4197c5f-10a8-4649-9b3d-d7cad1f178d6",
    "a326c99f-9034-48a6-8e6b-882f5d5072a1"
  ],
  "location": {
    "city": "Valognes",
    "country": "France",
    "formatted_address": "Valognes,Normandie,France",
    "place_id": "ChIJyznl_SiDDEgREkyRDZbvKEU",
    "state": "Normandy",
    "sub_state": "Manche",
    "latitude": 49.5089073,
    "longitude": -1.4692929
  },
  "locations": [
    {
      "city": "Valognes",
      "country": "France",
      "formatted_address": "Valognes,Normandie,France",
      "place_id": "ChIJyznl_SiDDEgREkyRDZbvKEU",
      "state": "Normandy",
      "sub_state": "Manche",
      "latitude": 49.5089073,
      "longitude": -1.4692929
    }
  ],
  "position": 1,
  "premium": false,
  "private_offer": false,
  "publication_type": {
    "name": "premium_credit",
    "score": 2
  },
  "search_index": "job_ads_search_en",
  "slug": "b9d10ae7-3a3e-4868-86c0-a7a8a01b912b-orano-controleur-de-gestion-f-h",
  "start_period": "2026_09",
  "title": "Contrôleur de Gestion F/H"
}

Each job listing returns up to 18 structured fields:

Identification

Field	Meaning
ID	Unique internal JobTeaser identifier for the listing
Slug	URL-friendly string identifier for the job
Title	Job title as displayed in search results
Position	Standardized position/role category
Search Index	Internal ranking or indexing value used by the platform

Company & Location

Field	Meaning
Company	Employer name and associated metadata
Location	Primary location of the role
Locations	Full list of locations (for multi-location postings)

Contract & Timing

Field	Meaning
Contract	Contract type (e.g., internship, full-time, apprenticeship)
Start Period	Expected start period (e.g., "September 2025", "ASAP")
Activation Time	Timestamp when the listing became active on the platform

Listing Type & Flags

Field	Meaning
Publication Type	How the offer was published (e.g., standard, sponsored)
Candidacy Type	Application flow type (e.g., direct, redirected)
Exclusive	Whether the listing is exclusive to JobTeaser partner schools
Premium	Whether the listing has premium/paid placement
Private Offer	Whether the listing is restricted to specific school networks
Created By Student Or Alumni	Flags offers posted by student/alumni organizations
Legacy Partner School IDs	IDs of partner schools historically associated with the listing

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How to Use

1. Get search page URLs — Browse JobTeaser job search with your desired filters (location, contract type, keyword). Copy the resulting URL.
2. Add to urls — Paste one or more paginated search URLs into the input array.
3. Set limits — Use max_items_per_url to control volume per page (default: 20, max recommended: 50).
4. Enable fault tolerance — Keep ignore_url_failures: true for multi-URL runs.
5. Export — Download results as JSON, CSV, or Excel.

Common issues:

• Ensure URLs point to search/listing pages, not individual job detail pages.
• If results seem incomplete, check whether the search URL requires authentication (some school-exclusive pages may be gated).

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Use Cases & Business Value

• University career offices: Track which employers are actively recruiting from your school network
• Market research: Analyze contract type distribution and hiring seasons across sectors
• Job aggregators: Build or enrich graduate-focused job boards with live data
• Competitive intelligence: Monitor employer presence and posting frequency on the platform

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Conclusion

The JobTeaser Jobs Search Scraper turns paginated search results into structured, analysis-ready datasets. With 18 output fields covering job identity, company, location, contract, and listing flags, it provides a comprehensive view of graduate recruitment activity on one of Europe's leading student job platforms. Configure your search URLs, run the scraper, and export instantly.