Hays [Just 💰$2] — Global Recruitment (9 Markets)

What does Hays do?

Hays extracts structured job data from hays.com — including salary data, apply URLs, company metadata, full descriptions, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company profiles) where the source provides them.

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Key features

• 🌎 9-market coverage — 9 Global markets supported — hays.com, hays.de, hays.at, and 7 more. One actor, one codebase, one input shape across the region. Pick a country per run, or schedule parallel runs per market for a unified hiring feed.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Hays jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any hays.com URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 🎯 Batch searches — batch ["python developer", "data engineer", "ML engineer"] in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N.
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from hays.com?

Each result includes Core job fields (jobId, jobKey, referenceNumber, title, location, salaryText, salaryMin, and salaryMax, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionLength, jobBenefits, and detailFetched), apply information (applyUrl), and company metadata (company and companyUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company profiles where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query.
• country — Hays country portal to search. (default: "DE")
• location — City, state, or region. Use JSON array for multi-location.
• startUrls — Direct search or job detail URLs.
• maxResults — Hard cap on total job listings emitted to your dataset (0 = unlimited). This is the primary cost control — Apify charges per emitted record, so use this to bound your run cost regardless of how many listings the source has. If both maxResults and maxPages are set, the LOWER cap wins. Memory scales automatically: ≤25 → 256 MB, ≤200 → 512 MB, 201+ → 1024 MB. (default: 25)
• maxPages — Defensive cap on the number of SERP pages crawled per search source. Used to protect against runaway pagination. In normal operation, maxResults controls the run size — set maxPages only when you suspect the source returns more pages than expected. If both are set, the LOWER cap wins. (default: 5)
• includeDetails — Fetch each job's detail page for full description, salary data, and company info. (default: true)
• includeCompanyProfile — Fetch company overview pages for industry, headcount, and more. (default: false)
• descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
• compact — Output only core fields (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Compare against previous run state. Requires stateKey. (default: false)
• stateKey — Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically.
• ...and 19 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "software engineer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "b334a27d92f9f5437abaeff813833ebb359b4b392808935990b43238b3061e4c",
  "jobKey": "866726/1",
  "referenceNumber": "866726/1",
  "title": "SAP RE-FX Berater (m/w/d)",
  "company": "Hays",
  "companyUrl": "https://www.hays.de",
  "location": "Oberhausen",
  "description": "Über das Unternehmen Für ein Wohnungsunternehmen suche ich derzeit einen SAP RE FX Inhouse Consultant (m/w/d), der die Weiterentwicklung der bestehenden SAP-Systemlandschaft übernimmt und schrittweise...",
  "descriptionHtml": "<div class=\"row\">\n                    <div class=\"col-12\">\n                        <div class=\"h-job-detail__listing hays__job__detail__listing\">\n                            <div class=\"h-job-detail__...",
  "descriptionLength": 4014,
  "employmentType": "FULL_TIME, PERMANENT",
  "contractType": "Festanstellung durch unseren Kunden",
  "industry": "Dienstleistungen",
  "jobBenefits": "39 Stunden/Woche (Teilzeit möglich)33 Tage UrlaubTarifvertragFlexible Arbeitszeiten & hoher Remote-AnteilMassageangebote in der ArbeitszeitFokus auf PersonalentwicklungStandort: Oberhausen",
  "responsibilities": "SAP-Modulbetreuung und Weiterentwicklung von SAP RE-FX inkl. Schnittstellenpflege, Customizing und technische DokumentationImplementierung neuer Lösungen im SAP-Umfeld Konzeption und Administration vo...",
  "experienceRequirements": "Fundierte Erfahrung als SAP RE-FX Berater (inkls. Customizing)Schnittstellenwissen in einem oder mehreren Modulen (SAP FI, CO, MM, PM und/oder PS)Wünschenswert: Fachlicher Background im Immobilienwese...",
  "postalCode": "47053",
  "latitude": 51.404242,
  "longitude": 6.704862,
  "postedDate": "2026-04-02T14:39:56+02:00",
  "validThrough": "2028-04-02T14:39:56+02:00",
  "canonicalUrl": "https://www.hays.de/jobsuche/stellenangebote-jobs-detail-sap-re-fx-berater-oberhausen-866726/1",
  "applyUrl": "https://www.hays.de/jobsuche/stellenangebote-jobs-detail?p_p_id=de_hays_liferay_search_jobdetails_JobDetailsPortlet&p_p_lifecycle=1&p_p_state=normal&p_p_mode=view&_de_hays_liferay_search_jobdetails_Jo...",
  "sourceUrl": "https://www.hays.de/jobsuche/stellenangebote-jobs-detail-sap-re-fx-berater-oberhausen-866726/1",
  "sourceCountry": "DE",
  "sourceDomain": "www.hays.de",
  "searchQuery": "SAP",
  "searchUrl": "https://www.hays.de/jobsuche/stellenangebote-jobs/p/1/?q=SAP&ij=false",
  "isSponsored": false,
  "fetchedAt": "2026-04-04T08:29:12.071Z",
  "detailFetched": true,
  "contentQuality": "full"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape hays.com

1. Go to Hays in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from hays.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape hays.com?

Hays uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from hays.com?

The number of results depends on the search query and available jobs on hays.com. Use the maxResults parameter to control how many results are returned per run.

Does Hays support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Hays with other apps?

Yes. Hays works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Hays with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Hays through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape hays.com?

This actor extracts publicly available data from hays.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on hays.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Hays's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Hays.

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