HelloWork Jobs Scraper — France Hiring Data

What is HelloWork Jobs Scraper — France Hiring Data?

HelloWork Jobs Scraper searches public HelloWork France job listings by keyword and location and returns a dataset of normalized job records, one row per job. Each row has the job title, employer and employer profile, city, region, postal code, contract type, salary text with parsed minimum, maximum and period, description, posting date and the direct HelloWork job URL. Recruiters, staffing agencies, job-market analysts, job boards and AI agents use it to follow French hiring demand without copying listings by hand.

Why recruiting teams use this HelloWork scraper

• French and English search. searchQuery accepts plain text such as developpeur or data engineer.
• Salary you can compare. salaryMin, salaryMax, salaryPeriod and salaryCurrency sit next to the original salaryText.
• Location you can group by. location, region and postalCode map neatly to French cities and regions.
• Employer as a lead. companyName and companyProfileUrl point to the hiring company on HelloWork.
• Description length to fit your workflow. responseFormat keeps descriptions concise for AI prompts or detailed for full reading.

Best fit for this Actor

• Best fit for job-market research, sourcing pipelines and salary benchmarking across France on HelloWork.
• Use a role or skill in searchQuery and a city, department or region in location; leave location empty to search all of France.
• For startup and tech roles in France, continue with Welcome to the Jungle Jobs Scraper and merge the datasets on company name.
• For managerial and executive roles, then pass the same keyword to APEC Jobs Scraper.

What people and AI agents ask this Actor to do

Find developer jobs in Paris with salaries. How many data engineer roles are open in Lyon this week, and what do they pay? List companies hiring nurses in Bordeaux.

Request	Input to send
Developer jobs in Paris	{"searchQuery": "developpeur", "location": "Paris", "maxResults": 50}
Salary benchmark across France	{"searchQuery": "data engineer", "maxResults": 200}
Hiring companies in a city	{"searchQuery": "infirmier", "location": "Bordeaux", "includeJobDetails": true}
Fast search-card sweep	{"searchQuery": "commercial", "location": "Lyon", "includeJobDetails": false}
Full descriptions for reading	{"searchQuery": "chef de projet", "responseFormat": "detailed"}

Example workflow: from a role to a salary benchmark

A Paris staffing agency starts with searchQuery set to analyste developpeur, location set to Paris and maxResults at 150. The dataset returns each job's companyName, employmentType, salaryMin, salaryMax, postedAt and jobUrl. The account manager filters to rows with a parsed salary, compares the median range with what her clients offer, and exports the hiring companies that have no agency yet as a prospect list. She schedules the same search weekly so the sheet always shows fresh openings and current pay.

Input

{
  "searchQuery": "developpeur",
  "location": "Paris",
  "maxResults": 20,
  "includeJobDetails": true,
  "responseFormat": "concise"
}

Field	Type	What it controls
searchQuery	string	Role or skill, in French or English. Required
location	string	French city, department or region. Default Paris; empty searches all of France
maxResults	integer	Cap on returned and billed jobs, 1 to 500. Default 20
includeJobDetails	boolean	Open each listing for description, posting date, salary and employer data. Default true
responseFormat	string	concise for shorter descriptions or detailed for longer ones. Default concise

Output

Field	What it contains
jobId, title, jobUrl	HelloWork job ID, title and direct listing URL
companyName, companyProfileUrl	Employer and its HelloWork profile
location, region, postalCode, country	Job location
employmentType	Contract type, such as FULL_TIME
salaryText, salaryMin, salaryMax, salaryPeriod, salaryCurrency	Salary as shown and parsed
description, postedAt	Job description and posting date
applyUrl	External application link when the listing provides one
sourceUrl, source, scrapedAt	Search page, site and collection time

{
  "jobId": "81400027",
  "title": "Développeur Applicatif - Analyste Développeur H/F",
  "companyName": "Havana IT & Apps",
  "companyProfileUrl": "https://www.hellowork.com/fr-fr/entreprises/havana-it-et-apps-83662.html",
  "location": "Paris",
  "region": "Île-de-France",
  "postalCode": "75000",
  "country": "FR",
  "employmentType": "FULL_TIME",
  "salaryText": "40 000 - 55 000 € / an",
  "salaryCurrency": "EUR",
  "salaryMin": 40000,
  "salaryMax": 55000,
  "salaryPeriod": "year",
  "description": "Les missions du poste. Groupe Havana : créé en 2011, nous incarnons la transformation digitale en misant sur l'innovation, la performance et le bien-être au travail.",
  "postedAt": "2026-09-17T00:24:40.000Z",
  "jobUrl": "https://www.hellowork.com/fr-fr/emplois/81400027.html",
  "applyUrl": null,
  "sourceUrl": "https://www.hellowork.com/fr-fr/emploi/recherche.html?k=developpeur&l=Paris",
  "scrapedAt": "2026-10-01T01:29:31.194Z",
  "source": "hellowork.com"
}

Pricing

This Actor uses Pay per event plus Apify platform usage. Each run charges one Actor Start event and one HelloWork job record scraped event for each validated job row saved to the dataset. Platform usage is billed on top at Apify's standard rates. The live Pricing tab on this page shows the current event prices.

Worked example: a search with maxResults at 50 that saves 50 jobs costs 50 HelloWork job record scraped events plus one Actor Start event and the run's platform usage. Setting includeJobDetails to false keeps the same event count and shortens the run, since it skips the listing pages.

API example

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~hellowork-jobs-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery": "data engineer", "location": "Lyon", "maxResults": 25}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("khadinakbar/hellowork-jobs-scraper").call(run_input={
    "searchQuery": "developpeur",
    "location": "Paris",
    "maxResults": 50,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["companyName"], job.get("salaryMin"), job.get("salaryMax"), job["jobUrl"])

Use with AI agents (MCP)

Connect the Actor through Apify MCP in Claude, ChatGPT or Cursor and ask:

Find 30 data analyst jobs in Lyon on HelloWork. Give me title, company, contract type and salary range, and tell me the average minimum salary among jobs that list one.

The agent sends searchQuery, location and maxResults, reads rows with get-dataset-items, and computes from salaryMin and salaryMax. It should cite jobUrl and postedAt for each job and scrapedAt for the snapshot. Keep responseFormat at concise so descriptions fit the context window; maxResults bounds both rows and cost.

Best results

Starting situation	Helpful action	Expected outcome
A specific role	Use the French job title candidates search for, such as developpeur or infirmier	Results that match HelloWork's own search
A regional view	Put a region such as Île-de-France in location	Jobs across the whole region
Salary analysis	Keep includeJobDetails on	Parsed salary fields where employers publish pay
A quick count of openings	Set includeJobDetails to false	Faster search-card rows
Weekly monitoring	Schedule the same input and compare by jobId	New openings each week

Builder's note

I built salary parsing into every row because pay is the first thing recruiters and analysts compare, and French listings write it in many styles. I added responseFormat after I found that AI workflows want short descriptions while human readers want the full text, so one Actor serves both without extra cleanup.

FAQ

Does it cover all of France?

Yes. Leave location empty to search every region on HelloWork France.

Why do some jobs have no salary fields?

The employer did not publish pay on the listing. salaryText and the parsed fields fill in whenever HelloWork shows a salary.

Can I search in English?

Yes. French job titles usually match more listings on HelloWork.

Responsible use

This Actor collects public job listings from HelloWork France. Job posts are business information; any personal data in them, such as a recruiter's name, is protected by the GDPR. Use the data in line with HelloWork's terms of service, keep it no longer than needed, and honor opt-outs before outreach. HelloWork is a trademark of its owner, and this independent Actor is not affiliated with it. For questions, open a ticket in the Issues tab.