HelloWork Jobs Scraper

Extract rich job listings from Hellowork.com with clean, structured output ready for analytics and workflow automation. Collect core listing data plus extended details such as salary ranges, location parts, requirements, and company information. Ideal for hiring intelligence, salary benchmarking, and labor market tracking.

Features

• Rich Job Records — Capture both listing-level and detailed job fields in one dataset
• Flexible Input Patterns — Start from keyword/location filters or pass a direct search URL
• Automatic Pagination — Collect multiple pages until your result limit is reached
• Clean Output Quality — De-duplicated records with null and empty values removed
• Production-Ready Reliability — Proxy-compatible execution for stable large runs

Use Cases

Talent Intelligence

Track hiring demand by role, city, and contract type. Build recurring snapshots to compare trend changes over time.

Salary Benchmarking

Analyze compensation ranges and periods across similar positions. Support compensation planning with market-based evidence.

Competitive Hiring Analysis

Monitor job activity from target companies and sectors. Identify expansion patterns and role priorities.

Career and Mobility Research

Compare opportunities by region and specialty. Discover where role density and salary signals are strongest.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Start from a specific Hellowork search URL
keyword	String	No	—	Job keyword, title, or skill phrase
location	String	No	—	Location filter (city, region, or country)
category	String	No	—	Additional category/autocomplete filter value
collectDetails	Boolean	No	true	Include extended job details from each offer page
results_wanted	Integer	No	20	Maximum number of jobs to save
max_pages	Integer	No	20	Maximum search result pages to scan
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy settings for more stable collection

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Output Data

Each dataset item can include the following fields:

Field	Type	Description
title	String	Job title
company	String	Company name
company_url	String	Company website or profile URL
company_logo	String	Company logo URL
location	String	Combined location text
city	String	City/locality
postal_code	String	Postal code
region	String	Region/department
country	String	Country
salary	String	Human-readable salary text
salary_min	Number	Minimum salary value
salary_max	Number	Maximum salary value
salary_currency	String	Salary currency
salary_period	String	Salary period (for example month/year)
contract_type	String	Normalized contract type
employment_type_raw	String	Raw employment type values
work_setting	String	Work setting (onsite/hybrid/remote when available)
date_posted	String	Published date
valid_through	String	Expiration date when available
skills	String	Skills listed in the offer
qualifications	String	Qualification requirements
education	String	Education requirement
experience	String	Experience requirement
benefits	String	Job benefits
industry	String	Industry label
description_html	String	Full description content
description_text	String	Plain text description
job_id	String	Job identifier
url	String	Canonical job URL
list_page_url	String	Search page where job was discovered
_source	String	Extraction source marker

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Usage Examples

Keyword + Location Search

{
    "keyword": "software engineer",
    "location": "Paris",
    "results_wanted": 20,
    "max_pages": 3,
    "collectDetails": true
}

Direct Search URL

{
    "startUrl": "https://www.hellowork.com/fr-fr/emploi/recherche.html?k=data%20analyst&l=Lyon",
    "results_wanted": 15,
    "max_pages": 2,
    "collectDetails": true
}

Fast List-Only Collection

{
    "keyword": "developpeur web",
    "location": "Nantes",
    "results_wanted": 30,
    "collectDetails": false
}

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Sample Output

{
    "title": "Senior Software Engineer H/F",
    "company": "MOBISKILL",
    "company_url": "https://www.mobiskill.fr",
    "location": "Paris, 75000, Ile-de-France, France",
    "city": "Paris",
    "postal_code": "75000",
    "region": "Ile-de-France",
    "country": "France",
    "salary": "70000 - 90000 EUR / YEAR",
    "salary_min": 70000,
    "salary_max": 90000,
    "salary_currency": "EUR",
    "salary_period": "YEAR",
    "contract_type": "CDI",
    "date_posted": "2026-04-19",
    "skills": "Node.js, TypeScript, AWS",
    "description_text": "You will design, build, and scale backend services for high-growth products...",
    "job_id": "78174679",
    "url": "https://www.hellowork.com/fr-fr/emplois/78174679.html",
    "list_page_url": "https://www.hellowork.com/fr-fr/emploi/recherche.html?k=software+engineer&l=Paris",
    "_source": "json-ld"
}

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Tips for Best Results

Start with Focused Queries

• Use precise role names before broad keywords
• Pair keyword with location for cleaner relevance
• Increase results_wanted after validating a small sample

Balance Depth and Speed

• Set collectDetails to true for complete datasets
• Set collectDetails to false for fast link/list monitoring
• Use lower max_pages when running high-frequency schedules

Improve Run Stability

• Use proxy configuration on larger runs
• Retry with alternative keywords if the first query is too narrow
• Schedule periodic runs to keep trend tracking fresh

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Integrations

Connect your dataset with:

• Google Sheets — Share hiring trends with operations teams
• Airtable — Build searchable job intelligence bases
• Looker Studio / BI tools — Create salary and demand dashboards
• Webhooks — Push fresh listings to your own pipeline
• Make — Automate downstream enrichment workflows
• Zapier — Trigger actions when new matching jobs appear

Export Formats

• JSON — Best for engineering pipelines
• CSV — Spreadsheet analysis
• Excel — Business reporting
• XML — Legacy integrations

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Frequently Asked Questions

Can I run with only a search URL?

Yes. Use startUrl to begin from an existing Hellowork search results page.

What happens if some fields are unavailable?

Only available values are returned. Empty, null, and undefined fields are omitted.

Are duplicate offers removed?

Yes. Output records are deduplicated by job URL.

How can I speed up runs?

Lower results_wanted, reduce max_pages, or disable detail collection with collectDetails: false.

Which language should I use for keywords?

French keywords generally provide the strongest coverage on Hellowork.

Can I schedule this actor daily?

Yes. It is suitable for recurring runs to monitor hiring changes over time.

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Support

For issues, contact support through Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection and analytics. Users are responsible for complying with applicable laws, website terms, and internal data governance policies.