Choisir le Service Public Scraper · No Login avatar

Choisir le Service Public Scraper · No Login

Pricing

from $1.60 / 1,000 job postings

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Choisir le Service Public Scraper · No Login

Choisir le Service Public Scraper · No Login

French civil service jobs: postings from Choisir le Service Public, the French government's public sector job board, with title, employer, location, salary and full description. France public sector job data as JSON, no login.

Pricing

from $1.60 / 1,000 job postings

Rating

0.0

(0)

Developer

Vivien MORVAN

Vivien MORVAN

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

Features

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Extract job postings from Choisir le Service Public, the French government's official civil service job board. No login, no browser, no API key: job title, employer, location, salary, requirements and the full description, read straight from the site's own public pages.

At a glance

What you getPublic sector job postings from Choisir le Service Public: title, employer, city, region, industry, salary, experience, education, date, full description.
Price$2.00 per 1,000 postings: a 50-posting test run costs about $0.11, start fee included.
Speed50 postings in about 25 seconds. No login, no proxy, no browser to configure.
Try itClick Try for free, fill the short form and run: the first 50 postings arrive in under a minute.
Keep it freshSchedule it daily and keep only the new postings: see "Monitor new postings daily" below.

What you can do with it

  • Search French civil service jobs by keyword. keywords matches against the posting's own page, covering hospitals, universities, ministries, local authorities and public agencies.
  • Filter by region or city. location narrows results to a French region or city.
  • Benchmark public-sector pay and requirements. salary, experienceRequired and educationRequired are kept as their own fields whenever the posting discloses them.
  • Feed a job alert or aggregator. A stable id and canonical url per posting for deduplication across runs.

Input

FieldWhat it does
keywordsJob title or skill, for example infirmier. Empty means every posting.
locationFrench region or city, for example bretagne or caen. Empty means every location.
maxItemsThe run stops once this many postings are saved (default 50).

Example input:

{
"keywords": "infirmier",
"location": "",
"maxItems": 50
}

Output

One record per posting:

{
"id": "responsable-de-restauration-collective-reference-2026-2439578",
"url": "https://choisirleservicepublic.gouv.fr/offre-emploi/responsable-de-restauration-collective-reference-2026-2439578/",
"title": "Responsable de restauration collective",
"employer": "Centre Hospitalier Louis Constant Fleming",
"city": "Saint-Martin (978), France",
"region": "COM",
"industry": "Intervention technique et logistique",
"salary": null,
"experienceRequired": "Confirmé",
"educationRequired": "Niveau 4 Baccalauréat",
"datePosted": "2026-10-14",
"description": "Définir, optimiser et contrôler l'organisation et la production des secteurs de restauration...."
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Why this one

  • No login, no browser, no API key. The site's listing and posting pages are plain server-rendered HTML.
  • Full description, not a teaser. The complete requirements, missions and schedule text, not a truncated preview.
  • Structured salary and requirements kept as their own fields, not buried in free text, whenever the posting discloses them.

Good to know

  • keywords matches against the posting's own URL, which closely follows the posting's title: specific job titles work well, very generic single words may over- or under-match.
  • Many public postings do not state a salary; salary is null when the site shows "Non renseigné" instead of an amount, nothing is guessed.
  • The dataset contains job postings only. Any named contact's e-mail or phone number found in a posting's text is dropped from description.
  • This is an unofficial tool, not affiliated with the French government or Choisir le Service Public. Check the site's terms and the data protection rules that apply to your use.

FAQ

Does it need a browser or a proxy?
No. The Actor reads the site's own pages directly.

Does it work without keywords?
Yes. Leave it empty for a productive default run across the newest postings nationwide.

Can I get the data in Excel or Google Sheets?
Yes. Export the dataset as CSV, Excel or JSON from the Apify console, or connect the Apify Google Sheets integration.

Try it

Open choisirleservicepublic-jobs-scraper on the Apify Store

En français

Cet extracteur récupère les offres de la fonction publique publiées sur Choisir le Service Public : intitulé, employeur, ville, région, filière, rémunération, expérience, niveau d'études, date et description complète, en JSON, CSV ou Excel. Utile pour une alerte par métier et région ou un agrégateur d'emplois publics. Aucun compte ni proxy nécessaire.

Why this one

  • No login, no browser, no API key. The site's listing and posting pages are plain server-rendered HTML.
  • Full description, not a teaser. The complete requirements, missions and schedule text, not a truncated preview.
  • Structured salary and requirements kept as their own fields, not buried in free text, whenever the posting discloses them.

Who uses it

  • Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
  • Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
  • B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
  • Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $2.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.21. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/choisirleservicepublic-jobs-scraper').call({
maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient
client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/choisirleservicepublic-jobs-scraper").call(run_input={
"maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

  1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
  2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
  3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
  4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Choisir le Service Public? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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