HelloWork Jobs Scraper — HelloWork France Job Listings avatar

HelloWork Jobs Scraper — HelloWork France Job Listings

Pricing

from $0.56 / 1,000 jobs

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HelloWork Jobs Scraper — HelloWork France Job Listings

HelloWork Jobs Scraper — HelloWork France Job Listings

HelloWork jobs scraper for France (emploi, offres d’emploi): title, company, city, salary as min/max per month or year, contract type, experience, posting/expiry dates, full description — plus job alerts: only jobs new since your last run. Search by keyword and city or paste a search URL. No login.

Pricing

from $0.56 / 1,000 jobs

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Developer

Northbell

Northbell

Maintained by Community

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1

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18 hours ago

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HelloWork Jobs Scraper

Stop re-checking HelloWork by hand: get only the new jobs for your searches every morning — in a sheet, Slack or your own job board. Search HelloWork (France) by keyword, location or a pasted search URL and get every matching job as clean JSON with the salary split into min / max / interval; schedule it and each run marks which jobs are new since your last run.

Try it now — the input is already filled in. Press Start: the example searches (comptable, développeur) return 98 jobs in France in about 23 seconds, for about $0.08.

titlecompanylocationsalaryMinsalaryMaxsalaryIntervalemploymentType
Comptable Polyvalent H/FExpertis RHCourbevoie, Île-de-France, FR38003850monthFULL_TIME
Développeur C# - Python H/FAudensiel TechnologiesDijon, Bourgogne-Franche-Comté, FR3800043000yearFULL_TIME
Aide Comptable H/FAlterego InterimLavannes, Grand Est, FR12.3114hourTEMPORARY, FULL_TIME

65 of these 98 show a salary, read from the salary the employer filed on the job page (55 per year, 7 per month, 3 per hour), never guessed from the text. Every row also has the contract type, remote when the job says so (22 here), the industry and the expiry date. Scheduled, each run marks which jobs are new since the last one.

How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run — so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, company, locationas listed
salaryMin, salaryMax, salaryCurrency, salaryIntervalas HelloWork publishes it (per month or year) — null when not published
employmentTypeCDI, CDD, interim… as the site's structured data states it
descriptionthe full job text
postedAt, expiresAtpublication and expiry dates

Fixed 22 Oct 2026: the Actor misread HelloWork's result count as 0, so it treated every search as read to the end and returned closed rows for roles that had only dropped below your max jobs or been pushed down by newer ones. A search is now called complete only when every listed job was read, so closed rows mean the role is gone. | isNewSinceLastRun | true / false, or null on the first run (unknown, not "old") | | jobUrl | link to the job on HelloWork | | search | which of your searches returned it |

Does the job need French?

Every job row ends with four columns that say how much French (the local language) the job asks for, read from what the job text says — not from the language the ad is written in, so "fluent German (C1) required" in an English ad counts as required.

Field
localLanguageNeedrequired, preferred (a plus), one-of (this or another language), not-required (said outright), unknown (the text says nothing), or null (no text was read)
localLanguageLevelnative, fluent, good, basic, or a CEFR level such as B2, when the text names one
localLanguagethe language this is about
languagesRequiredevery language the text names: { language, level, need, matched, evidence } — matched are the words that decided it and evidence the sentence, so you can check each call

Jobs that don't need French keeps only jobs that say so (or, in the second option, where it is only a plus). Silence is unknown, never "not required". Words only, no AI model, so the same text always gives the same answer.

Changed 2026-10-15: these four columns were added at the end of each row; existing columns and their order are unchanged.

Input

Put one search per line in Searches (e.g. comptable) and optionally a Location (e.g. Lyon). Or set the filters on the site and paste the result page into Search URLs (e.g. https://www.hellowork.com/fr-fr/emploi/recherche.html?k=comptable&l=Lyon) — every filter the site has then applies. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on.

Example output

One real row from a test run (long text shortened here with …).

{
"type": "job",
"provider": "hellowork",
"search": "comptable",
"searchLocation": "Lyon",
"jobId": "84163039",
"title": "Chef de Mission Comptable H/F",
"company": "Kalixens RH Lyon",
"location": "Chassieu, Auvergne-Rhône-Alpes, FR",
"locations": [
"Chassieu, Auvergne-Rhône-Alpes, FR"
],
"salaryMin": 30000,
"salaryMax": 35000,
"salaryCurrency": "EUR",
"salaryInterval": "year",
"employmentType": "FULL_TIME",
"remote": null,
"industry": "Services aux Entreprises",
"description": "Les missions du poste\nKALIXENS accompagne des TPEs, PMEs et grands groupes via ses activités de prestations de recrutement. Branche d'une société régionale évol…",
"postedAt": "2026-10-07T01:31:54.000Z",
"expiresAt": "2026-11-06T01:31:54.000Z",
"companyUrl": "https://www.hellowork.com/fr-fr/entreprises/kalixens-rh-lyon-159460.html",
"companyLogo": "https://f.hellowork.com/img/entreprises/160_160/198261.png",
"jobUrl": "https://www.hellowork.com/fr-fr/emplois/84163039.html",
"countryCode": "FR",
"seniority": "mid",
"employmentTypes": [
"full-time"
],
"isNewSinceLastRun": false
}

Get only the new jobs every morning (3 steps)

  1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
  2. On the task, add a Schedule — for example daily at 07:00.
  3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 11 tidy columns, title first, instead of every raw field.

Pricing

$0.70 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title — no company names needed — and reports exactly which matching roles are new or closed each run.

**Measured, not estimated:** 299 jobs in 57 s, about **$0.0032 of Apify platform usage per 1,000 jobs** at 512 MB (our running cost — included in the price, nothing on top) (2026-09-30).

For AI agents

For a fast answer call with {"searches": ["comptable"], "maxJobsPerSearch": 20} — a few seconds. The defaults (up to 200 jobs) can take about a minute, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned — no extra requests, no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search — e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run — and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Arbeitnow · Remote OK · We Work Remotely.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.