🇫🇷 HelloWork Jobs Scraper — Salaries, Details & Companies

Turn French job listings into clean, structured recruitment data — in minutes.

⚡ At a glance

	What you get
🔎 Search	Multiple job keywords × multiple French locations
💼 Job data	Title, company, contract, location, remote status and URLs
💶 Salary data	Published salary ranges plus available estimates
📝 Rich details	Full description, requirements, skills and education
🏢 Company data	Company page, logo, industry and hiring identity
🚀 Performance	Fast HTTP collection without a heavy browser
📦 Delivery	JSON, CSV, Excel, XML and API-ready dataset

💡 Add several keywords and locations to discover more jobs in one run. Each keyword is combined with each location automatically.

What does this HelloWork scraper do?

HelloWork Jobs Scraper collects current French job opportunities and converts them into consistent records ready for analysis, recruitment workflows, lead generation or job aggregation.

You can search roles such as:

• software developer in Paris;
• sales representative in Lyon;
• nurse in Marseille;
• data analyst across France;
• alternance and internship opportunities;
• remote and hybrid jobs;
• jobs with published salary information.

The Actor supports two useful collection modes:

Mode	Best for	Speed	Data depth
⚡ Overview	Monitoring, discovery and large exports	Fastest	Core listing fields
✨ Enriched	Recruiting, matching and market intelligence	Fast	Full job and company fields

Overview mode saves the information visible in search results. Enriched mode visits each selected job and adds descriptions, skills, requirements, precise dates and company metadata.

Why use it?

French job data is useful only when it is searchable, comparable and ready to integrate. This Actor handles pagination, removes duplicate listings and normalizes the most important fields for you.

You receive:

• one row per unique job;
• stable HelloWork job IDs;
• clean text instead of page clutter;
• structured locations and dates;
• consistent salary values where published;
• source URLs for verification;
• search context for every record;
• timestamps for monitoring freshness.

🎯 Popular use cases

Use case	How the data helps
🧲 Recruitment sourcing	Discover current candidates' target roles and hiring companies
📣 Job aggregation	Feed fresh French vacancies into a job board or newsletter
🏢 Hiring lead generation	Identify companies actively recruiting by role and location
💶 Salary research	Compare advertised compensation across professions and cities
📊 Labor-market analysis	Track demand for skills, occupations and contract types
🧠 AI job matching	Supply structured descriptions and skills to matching models
🔔 Job alerts	Schedule searches and notify users when new jobs appear
🗺️ Regional research	Compare hiring activity across French cities and regions
🎓 Graduate research	Monitor internships, stages and alternance opportunities
🧾 CRM enrichment	Add hiring signals and current roles to company records

Recruiting teams

Build targeted vacancy lists using title, skills, contract, location and freshness. Enriched records include enough context to prioritize opportunities without opening every page manually.

Job boards and newsletters

Collect a repeatable feed for a niche profession, region or contract type. Schedule the Actor and connect the dataset to your publishing workflow.

Sales and lead-generation teams

Open jobs are strong hiring signals. Search for roles connected to your product, then use company identity, industry and source links to qualify accounts.

Analysts and researchers

Compare salary visibility, remote-work adoption, skills demand and regional distribution using normalized fields that work in spreadsheets and BI tools.

🚀 Quick start

1. Open the Actor input.
2. Enter one or more job keywords.
3. Enter locations, or leave locations empty for France-wide results.
4. Choose optional filters.
5. Set the maximum number of jobs.
6. Click Start.
7. Export the dataset in your preferred format.

The prefilled example searches for développeur jobs in Paris and is intentionally limited for a quick first run.

Input options

Input	Type	Default	Purpose
searchKeywords	String list	développeur	Professions, titles or skills to search
locations	String list	Paris	Cities, departments or regions
startUrls	URL list	Empty	Direct job pages or custom search pages
contractTypes	Select list	All	CDI, CDD, interim, stage, alternance and more
remoteOnly	Boolean	false	Keep only jobs mentioning remote work
postedWithinDays	Integer	0	Keep only recent jobs; zero disables it
minSalary	Integer	0	Minimum published annual salary threshold
includeDetails	Boolean	true	Add full job and company fields
includeDescriptionHtml	Boolean	false	Keep formatted description HTML
maxItems	Integer	1000	Maximum unique jobs saved
maxConcurrency	Integer	8	Parallel detail requests
proxyConfiguration	Object	Direct	Optional proxy configuration

Search more data

The Actor creates every keyword and location combination.

For example:

{
  "searchKeywords": ["développeur", "data analyst", "product manager"],
  "locations": ["Paris", "Lyon", "Bordeaux"],
  "maxItems": 1000,
  "includeDetails": true
}

This creates nine targeted searches while still deduplicating jobs that appear more than once.

Search all of France

Use an empty location value:

{
  "searchKeywords": ["commercial"],
  "locations": [""],
  "maxItems": 500
}

Search contract types

{
  "searchKeywords": ["marketing"],
  "locations": ["France"],
  "contractTypes": ["CDI", "Alternance"],
  "maxItems": 500
}

Collect remote jobs

{
  "searchKeywords": ["software engineer", "devops"],
  "locations": ["France"],
  "remoteOnly": true,
  "includeDetails": true,
  "maxItems": 300
}

Fast overview export

{
  "searchKeywords": ["infirmier"],
  "locations": ["Paris", "Lyon", "Marseille"],
  "includeDetails": false,
  "maxItems": 2000
}

💡 Use overview mode for frequent large monitoring runs. Enable enrichment when descriptions, skills and precise metadata matter.

Output fields

💼 Job identity

Field	Meaning	Coverage
jobId	Stable listing identifier	🟢 Nearly every record
title	Job title	🟢 Nearly every record
url	Canonical job URL	🟢 Nearly every record
reference	Employer or listing reference	🟡 When published
datePosted	Publication date	🟢 Nearly every record
validThrough	Advertised expiration date	🟡 When available
scrapedAt	Collection timestamp	🟢 Every record

🏢 Company intelligence

Field	Meaning	Coverage
company	Hiring company	🟢 Most records
companyConfidential	Anonymous-employer indicator	🟢 Every record
companyUrl	Company profile URL	🟢 Most enriched records
companyLogoUrl	Company logo URL	🟡 When available
industry	Employer industry labels	🟡 When published

📍 Location and work model

Field	Meaning	Coverage
location	Display location	🟢 Nearly every record
city	Locality	🟢 Enriched records
postalCode	Postal code	🟡 When available
region	French region	🟢 Enriched records
countryCode	Country code, normally FR	🟢 Enriched records
remoteWork	Remote or hybrid label	🟡 When offered

📄 Employment and profession

Field	Meaning	Coverage
contractType	CDI, CDD, alternance, stage and more	🟢 Nearly every record
employmentType	Structured employment type	🟢 Enriched records
profession	Normalized profession category	🟡 Enriched records
jobDomain	Job domain	🟡 Enriched records
jobFunction	Functional category	🟡 Enriched records
occupationalCategory	Occupational family	🟡 Enriched records

💶 Salary data

Field	Meaning	Coverage
salaryText	Original published salary label	🟡 When published
salaryMin	Parsed lower bound	🟡 When published
salaryMax	Parsed upper bound	🟡 When published
salaryCurrency	Salary currency	🟡 When published
salaryPeriod	Year, month, day or hour	🟡 When published
estimatedSalaryMedian	Available market estimate	🟡 Enriched records
estimatedSalaryMin	Lower estimate	🟡 Enriched records
estimatedSalaryMax	Upper estimate	🟡 Enriched records

Published salary and estimated salary are separate fields so your analysis never confuses employer-provided compensation with an estimate.

🧠 Matching and content

Field	Meaning	Coverage
description	Full clean job description	🟢 Enriched records
descriptionHtml	Optional formatted description	⚪ Only when requested
requirements	Candidate qualifications	🟢 Most enriched records
skills	Structured skills	🟢 Most enriched records
tags	Searchable job tags	🟢 Enriched records
educationRequirements	Education levels	🟡 When published
experienceRequirements	Experience statement	🟡 When published

🔎 Search context

Field	Meaning
searchKeyword	Keyword that discovered the job
searchLocation	Location that discovered the job
searchPage	Search-result page number
detailEnriched	Whether the full detail page was processed
directApply	Whether a direct application flow is indicated
applicationType	Available application route classification

Example result

{
  "jobId": "77194876",
  "title": "Concepteur - Développeur H/F",
  "company": "Groupe NGE",
  "location": "Paris - 75000",
  "city": "Paris",
  "region": "Île-de-France",
  "countryCode": "FR",
  "contractType": "CDI",
  "employmentType": "FULL_TIME",
  "remoteWork": null,
  "industry": ["BTP"],
  "skills": ["SQL", "Python", "Java", "C#"],
  "datePosted": "2026-07-26T00:10:31.000Z",
  "companyUrl": "https://www.hellowork.com/fr-fr/entreprises/example.html",
  "url": "https://www.hellowork.com/fr-fr/emplois/example.html",
  "detailEnriched": true
}

Actual fields vary because employers decide which salary, education, remote-work and company information they publish.

Data quality

The Actor is designed around practical dataset quality:

• duplicate jobs are removed by stable job ID;
• relative search dates are upgraded to precise dates during enrichment;
• salary text remains available alongside parsed numbers;
• anonymous employers are explicitly marked;
• missing optional values remain empty instead of being invented;
• source URLs are retained for auditing;
• failed individual enrichments fall back to the overview record;
• records include the time at which they were collected.

Integrations

Connect results to:

• Google Sheets;
• Airtable;
• Zapier;
• Make;
• Slack;
• webhooks;
• REST API clients;
• Python or JavaScript workflows;
• data warehouses;
• CRM and ATS systems;
• AI and retrieval pipelines.

API usage

Run the Actor with the Apify API or an Apify client and read records from the default dataset. The same input fields available in the Console can be sent as JSON.

Scheduling fresh job data

For monitoring, create an Apify schedule and run the same input daily or weekly. Use a webhook or integration to forward new datasets to your workflow.

Useful schedules include:

• daily remote developer jobs;
• weekly salary snapshots;
• new alternance listings every morning;
• regional healthcare openings;
• competitor hiring signals;
• company-specific recruitment monitoring.

Performance and cost tips

For the fastest run

• disable includeDetails;
• search one focused keyword and location;
• keep the direct connection unless it is blocked;
• use a realistic maxItems limit.

For the richest data

• enable includeDetails;
• keep maxConcurrency between 6 and 12;
• use several relevant keyword-location combinations;
• request description HTML only if formatting is required.

For broad discovery

• add several keywords;
• add major cities and regions;
• leave contract filters empty;
• increase maxItems;
• rely on automatic deduplication.

Honest limitations

• Data availability depends on active public listings.
• Some employers intentionally hide their company name.
• Salary is not published for every job.
• Remote-work wording differs between employers.
• Estimated salary fields are not employer guarantees.
• Closed or expired listings can disappear between search and enrichment.
• Very broad searches may contain overlapping listings; duplicates are removed.
• The Actor does not submit applications or contact employers.

FAQ

Do I need to code?

No. Fill in the input form and click Start. Coding is optional for API integrations.

Can I scrape multiple cities?

Yes. Add each city to locations. Every location is combined with every keyword.

Can I search all of France?

Yes. Leave the location list empty or use an empty location value.

Can I collect CDI, CDD, stage or alternance jobs?

Yes. Use the contract selector to choose one or more supported contract types.

Does it return salary data?

Yes, when salary information is available. Published and estimated salaries remain separate.

Does it return full descriptions?

Yes. Keep includeDetails enabled.

Does it collect skills?

Yes. Enriched results include structured skills when available.

Can it find remote jobs?

Yes. Enable remoteOnly to keep listings that mention remote work.

Are duplicate jobs removed?

Yes. Records are deduplicated by the stable job ID across pages and search combinations.

Can I use direct job URLs?

Yes. Add individual HelloWork job URLs to startUrls.

Can I use an existing search URL?

Yes. Add the search URL to startUrls. It runs alongside keyword searches.

Which export formats are supported?

Apify datasets can be downloaded as JSON, CSV, Excel, XML and other supported formats.

How many jobs can I collect?

Set maxItems to the number you need. Actual availability depends on the searches and active listings.

Why is a company missing?

Some postings are intentionally anonymous. The companyConfidential field identifies these records.

Why is salary missing?

Employers do not always publish compensation. The Actor never fabricates a salary.

Should I enable a proxy?

Usually no. Direct collection is the fastest and lowest-cost choice. A proxy remains available if your environment needs it.

Can I schedule the Actor?

Yes. Apify schedules can run it automatically at the frequency you choose.

Can I connect it to an AI workflow?

Yes. The structured description, skills, title and location fields are suitable for search, classification and matching pipelines.

Does this Actor apply for jobs?

No. It collects public job information only.

Tips for better searches

• Use French role names for the broadest local coverage.
• Try both a role and its common English equivalent.
• Split broad searches by major city to increase useful coverage.
• Use contract filters for dedicated internship or alternance datasets.
• Keep enrichment enabled for semantic matching and lead qualification.
• Keep overview mode for frequent discovery runs.
• Use postedWithinDays for alert-style workflows.
• Use minSalary only when missing-salary jobs should be excluded.

Responsible use

This Actor collects publicly available job information. Use the data responsibly and comply with applicable laws, contractual obligations, privacy requirements and the source website's terms. Do not use collected data for spam, discrimination or unlawful automated decision-making.

HelloWork is a trademark of its respective owner. This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by HelloWork.

Support

If a page layout changes or a field you need is missing, open an issue from the Actor page with:

• the input used;
• an example listing URL;
• the run ID;
• the expected field;
• a short description of the problem.

Please do not include API tokens, passwords, cookies or personal credentials.

---

Collect French jobs. Understand hiring demand. Build faster.