Emploi-Territorial Jobs Scraper (French Public Sector) avatar

Emploi-Territorial Jobs Scraper (French Public Sector)

Pricing

from $1.60 / 1,000 job postings

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Emploi-Territorial Jobs Scraper (French Public Sector)

Emploi-Territorial Jobs Scraper (French Public Sector)

Emploi Territorial jobs: French local government (public sector) job postings from emploi-territorial.fr, about 27,000 live offers, with employer, department, category, grade, deadline, missions, profile and application link, as JSON.

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

2 days ago

Last modified

Features

Limited permissions

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Scrape every job posting from emploi-territorial.fr, the official job board of French local government (cities, departments, regions), around 27,000 live postings, as clean structured data: employer, department, grade, deadline and application link.

At a glance

What you getLocal government job postings from Emploi-Territorial: title, employer, department, category, grade, employment type, dates, workplace, missions, profile.
Price$2.00 per 1,000 postings: a 50-posting test run costs about $0.11, start fee included.
Speed50 postings in about 15 seconds. No login, no proxy, no browser to configure.
Try itClick Try for free: the form is already filled with keywords informatique, publishedWithinDays 14, maxItems 50.
Keep it freshSchedule it daily and keep only the new postings: see "Monitor new postings daily" below.

What you can do with it

  • Monitor public sector hiring: new postings by department, category or occupation, every day.
  • Feed a job alert, a job board or a newsletter: run it daily with "Published within 1 day".
  • Find which local authorities are hiring: employers, grades and job families in a given area.
  • Prepare candidates and training programs: missions and expected profiles for each grade.

Input

FieldWhat it does
KeywordsWords that must all appear in the title, employer, grade or sector. Accents and case are ignored.
DepartmentsDepartment names, for example Gironde. Empty means all of France.
Civil service categoriesA, B and/or C. Empty means all.
Published within (days)Keep only recent postings. Use 1 for daily monitoring.
Maximum number of postingsThe run stops once this many postings are saved.
Include full detailsOpens each posting to add missions, profile, workplace, start date and application link.

Output

One record per posting:

{
"id": "O062261001001711",
"url": "https://www.emploi-territorial.fr/offre/o062261001001711-assistant-communication-polyvalent",
"title": "assistant de communication polyvalent",
"employer": "MAIRIE DE CALAIS",
"department": "Pas-de-Calais",
"category": "C",
"sector": "Administrative",
"employmentType": "Emploi permanent",
"grade": "Adjoint administratif",
"publishedAt": "2026-10-02",
"applicationDeadline": "2026-11-30",
"workplace": "20, Quai de la Gendarmerie, Calais (Pas-de-Calais (62))",
"startDate": "2026-12-01",
"jobType": "Emploi permanent - vacance d'emploi",
"jobFamily": "Communication > Techniques et outils de communication",
"occupations": "Animateur ou animatrice de réseaux sociaux et de communautés numériques",
"workingTime": "Temps complet",
"summary": "assistant de communication polyvalent",
"missions": "…",
"profile": "…",
"applyUrl": "https://…"
}

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

Good to know

  • Postings come newest first, so a date-limited run stops early and stays cheap.
  • Keyword, department and category filters are applied while reading the listings: you only pay for postings that match.
  • Turn off "Include full details" for the fastest and cheapest runs.
  • Contact names and phone numbers of civil servants are never exported.

En français

Cet extracteur récupère les offres des collectivités publiées sur Emploi-Territorial : intitulé, employeur, département, catégorie, grade, type d'emploi, dates, lieu de travail, missions et profil recherché, en JSON, CSV ou Excel. Utile pour une alerte par filière et département ou un agrégateur d'emplois publics. Aucun compte ni proxy nécessaire.

Why this one

  • The official job board of French local government. Cities, departments and regions publish here, so postings carry employer, grade, applicationDeadline and workplace.
  • Filter by department and category. departments and categories narrow the run, and publishedWithinDays keeps a daily run to the new postings.

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/emploi-territorial-jobs-scraper').call({
keywords: 'informatique',
publishedWithinDays: 14,
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/emploi-territorial-jobs-scraper").call(run_input={
"keywords": "informatique",
"publishedWithinDays": 14,
"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 Emploi-Territorial? 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.

Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.

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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